Data Solutions

YugabyteDB

YugabyteDB, What Is It Good For?

YugabyteDB, What Is It Good For? 800 507 Exist Software Labs

The database evolved from the network & hierarchical model of the 60s to what eventually became the dominant force in databases in the 70s up to the present time—the relational model. From this model arose the big names in Relational Database Management Systems like DB2, Oracle, and Sybase. In the 80s, a player emerged that would forever change the RDBMS landscape: Postgres.

Postgres is the only RDBMS to have won DB of the year 3 times: 2017, 2018, & 2020. This speaks of the universal trust that developers have placed on the system and this has only increased with the rise of open-source software and cloud-native computing.

Which begs the question: What is cloud-native computing? To put it simply, the rise in the services-based model championed by the major cloud providers like AWS, GCP, & Azure has given way to a new way of developing applications, with key emphases on scalability, resilience, high-availability, and agile deployments.

Combining the relational supremacy of Postgres and cloud-native computing, we are then faced with the next step in the evolution of the RDBMS—Distributed SQL— and YugabyteDB is the No. 1 Distributed SQL platform today.

Use Cases

What is YugabyteDB good for? I will mention 4: cloud-native applications, applications requiring massive scale, geo-distributed workloads, and traditional RDBMS modernization.

1. Cloud-native applications – Build stateful microservices by leveraging modern cloud-native frameworks such as GraphQL, or in any language of your choice like Django, Spring, Go, etc.

2. Massive-scale applications – Seamlessly deploy IoT and streaming services that demand high throughput, support for large data sets, and/or many concurrent connections.

3. Geo-distribution – Move data closer to users for resilience, performance, and compliance with the industry’s largest choice of deployment and replication models.

4. RDBMS modernization – Evolve Oracle, SQL Server, and DB2 workloads to a modern distributed SQL database with minimal disruption. If you can migrate to PostgreSQL, you can migrate to YugabyteDB.


Real-World Projects

We have deployed YugabyteDB in several government and educational institutions that employed cloud-native applications development—requiring user connectivity from various geo-locations—along with the migration of MySQL databases.

YugabyteDB has delivered in all of these projects, requiring very minimal tweaking in existing SQL code and even speeding up queries in many instances.

YugabyteDB will very soon be the de facto RDBMS of choice in a cloud-native world.

Exist is your data solutions partner of choice!

Explore the next level of your digital transformation journey with our Data Solutions Services. Let’s look at opportunities to better maximize your ROI by turning your data into actionable intelligence. Connect with us today, and we’ll proudly collaborate with you!

Energy Tech Trends

2022 Energy Tech Trends to watch

2022 Energy Tech Trends to watch 800 507 Exist Software Labs

The COVID-19 pandemic, numerous heavy typhoons, and other unfortunate events affect all business sectors in the country. One of the major industries affected is Energy and Utilities, and it highlighted the necessity for The Energy Industry to adopt a sustainable perspective and improve the technology system.

With the rising demand for energy in 2022, the Department of Energy will continue its advocacy to produce renewable energy to cut market prices and achieve sustainability. On the other hand, the private sector will continue to develop technology systems to achieve efficiency, high effectiveness and keep up with the continuously evolving energy sector.

While numerous technology solutions can assist these firms in achieving their digital objectives, only a few are expected to have a significant influence in 2022. These are the 2022 Energy Tech Trends to watch!

1. Powering Digital Economy Through IoT (Internet of Things)

IoT, or the Internet of Things, has played a vital role in advancing digitization in several industries, including IT, energy, agriculture, healthcare, and many more.

It is one of the most advanced technologies, and one of its advantages is that it improves the efficiency of several businesses, including energy. And as for the energy sector, one of the most important functions of IoT is energy conservation. 

The Internet of Things enables electricity firms to read data in real-time. It enables them to quickly gather, calculate, and analyze data to improve decision-making. It also helps the energy industry transform into an integrated system, resulting in a smart solution that is equipped with advanced technology to increase industry value and maintain asset efficiency for the benefit of the economy.

2. Fifth-Generation Technology will establish the connection

Many companies will continue to improve their systems in 2022. The sector will continue to advance the electric grid to make it more reliable and less expensive, thanks to the national government’s directive to push for renewable energy and industry’s developing market demands.  

These companies rely on Millions of connected devices and digital systems, such as smart meters, sensors, management systems, to communicate data from many locations. And with their objective to digitize their system, they need to have fast and dependable technology, thus creating a need to access 5G technology. 

5G technology is the next generation of cellular technology after 4G. It has faster speed, lower latency, and the capacity to connect more devices at the same time.

Fifth-generation wireless technology will provide new features and more efficient smart grids. New 5G mobile networks will assist the integration of unconnected devices into new smart grids; it will also help the development of new electricity load forecasting software for accurate energy monitoring and forecasting. Organizations will now be able to receive and process the massive volume of data at quicker speeds with no chance of downtime.

3. Companies in the energy industry will continue to migrate to the cloud

The cloud holds the potential for endless growth, system efficiencies, and digital integration in any business industry.

With the Power industry’s continued growth, it needs a system that can handle its complex process and massive data efficiently, effectively, and precisely; this is where the cloud can help.

The cloud has the potential to change every aspect of the energy value chain. Connectivity, scalability, analytics, and automation can all help you save money and increase profits in countless ways.

Thanks to Exist’s strong foundation in the power industry, with its business solutions to industry market leaders and cloud services to other business verticals, we can now quickly apply tailored advancements to your company.

4. Artificial Intelligence will revolutionize the game.

Artificial Intelligence (AI) is becoming relevant in the energy industry and has great potential for future energy system structures.

Digital technologies such as Artificial Intelligence (AI) will make energy sector systems more intelligent, efficient, dependable, and sustainable, which benefits the entire energy sector chain, from generation to transmission to distribution to the consumer.

In terms of alignment with the government’s ambitions, AI would also benefit Renewable Energy. With the growing use of renewable energy sources, it is becoming increasingly difficult to regulate the megawatts that are fed into the grid; with this, power networks will be unstable and prone to blackouts.

With this technology, renewable energy sources may now provide real-time, accurate data that allows AI to predict capacity levels.

5. Energy Sector will embrace the power of Machine Learning

With Machine Learning (ML), it’s as if you have a sophisticated human mind monitoring your system, complete with advanced self-learning algorithms, taking your data to a whole new level by making human-like decisions based on current AI data.

ML employs approaches that can be applied to predictive maintenance. Power lines, machines, and stations, in essence, are outfitted with sensors that capture operating time series data.

With enough data, your system can now forecast if a failure will occur in your system, allowing you to more efficiently monitor maintenance, reduce downtime, and avert system failure as soon as possible; thus, lowering your system expenditures.

6. Taking Advantage of Big Data

It’s one thing to get your data, but it’s quite another to use it to your advantage. 

Big Data Analytics has the potential to be a key driver in achieving optimal company performance in the energy sector.

Big data can help the energy business in many ways, including improved supply chain management, enhanced customer satisfaction, optimizing business efficiency, analyzing future risks and possibilities, and much more.

As a result, more and more energy companies are becoming more competitive. A superior business strategy that incorporates a large amount of data and efficient processes is assisting them in developing company value and increasing customer satisfaction.

So, how can you achieve the advanced system and follow Energy Tech Trends?

Whether you like it or not, the energy sector will continue to advance its technological innovation.

In this regard, it is important to look for an innovative partner who can add value to your organization, and this is where Exist Software Labs can assist you! With our extensive experience in the energy industry, we could bring you the innovation you deserve.

Empower your system today!

Learn how to fully automate your processes to create a more competitive, transparent, and efficient system.
Take your power system to the next level!

The Elephant Behind the Excellence

The Elephant Behind the Excellence 650 486 Exist Software Labs

The preceding year, 2021, was an eventful year for EXIST Data Solutions: new team members were added, new technologies were learned, and new projects were implemented.

In the enterprise database front, PostgrEX was implemented in a prestigious 5-star hotel and casino, a state university, and a major security agency handling the biggest mall in the country.

YugabyteDB, the No. 1 cloud-native, distributed SQL database in the world, was implemented in 3 government projects, and premium EnterpriseDB support was rendered to the country’s primary energy market corporation.

On the data analytics front, Greenplum was also successfully implemented in 3 government projects, thereby enabling these entities to turn their data into actionable insights.

But what do all these business-transforming technologies have in common? In a word: Postgres.

Postgres is the database engine upon which PostgrEX, YugabyteDB, EDB, and Greenplum are based. With most of them, modifications in varying degrees were done to core Postgres to deliver a product that is still Postgres, but better!

As indicated in the article, Databases in 2021: A Year in Review, the dominance of Postgres in the year 2021 was undeniable:

The conventional wisdom among developers has shifted: PostgreSQL has become the first choice in new applications. It is reliable. It has many features and keeps adding more. In 2010, the PostgreSQL development team switched to a more aggressive release schedule to put out a new major version once per year (H/T Tomas Vondra). And of course, PostgreSQL is open-source.

PostgreSQL compatibility is a distinguishing feature for a lot of systems now. Such compatibility is achieved by supporting PostgreSQL’s SQL dialect (DuckDB), wire protocol (QuestDB, HyPer), or the entire front-end (Amazon Aurora, YugaByte, Yellowbrick). The big players have jumped on board. Google announced in October that they added PostgreSQL compatibility in Cloud Spanner. Also in October, Amazon announced the Babelfish feature for converting SQL Server queries into Aurora PostgreSQL.

One measurement of the popularity of a database is the DB-Engine rankings. This ranking is not perfect and the score is somewhat subjective, but it’s a reasonable approximation for the top 10 systems. As of December 2021, the ranking shows that while PostgreSQL remains the fourth most popular database (after Oracle, MySQL, and MSSQL), it reduced the gap with MSSQL in the past year.

Another trend to consider is how often PostgreSQL is mentioned in online communities. This gives another signal for what people are talking about in databases.

What does all this mean for you and your business? It means you can entrust your most mission-critical applications to Postgres and its derivatives; it means you can break free of vendor lock-in and redirect cost savings to core business initiatives; it means your company can be a better version of itself–a more profitable version–in the year 2022!

Contact us and find out how EXIST Data Solutions can meet all your database-related requirements.

Exist is your data solutions partner of choice!

Explore the next level of your digital transformation journey with big data and analytics. Let’s look at opportunities to better maximize your ROI by turning your data into actionable intelligence. Connect with us today, and we’ll proudly collaborate with you!

A Fully Dockerized MySQL to YugabyteDB Migration Strategy Using pgloader

A Fully Dockerized MySQL to YugabyteDB Migration Strategy Using pgloader 768 487 Exist Software Labs

While there have been many who began their journey to relational databases with the simple and popular MySQL, the evolution of business use cases involving more than read optimization and the need for more performant, full-fledged, read/write-optimized OLTP systems have given rise to a widespread migration from MySQL to Postgres.

Along with this, the transition from monolithic to cloud-native has also paved the way for distributed SQL systems that allow for read/write functionality in every node of the database cluster (while maintaining ACID-compliance across all nodes) and cloud-agnostic deployments of these nodes across geographic zones and regions. This is the future of the database, a future where reliability, accessibility, and scalability are built into the product. The future of the database is YugabyteDB.
 

From MySQL to YugabyteDBfast!

The method that we will be using to migrate a MySQL database to YugabyteDB is through the use of pgloader, a very reliable tool for migrating from MySQL (even SQL Server) to Postgres. We will first migrate the MySQL database to a Dockerized Postgres instance using Dockerized pgloader.

Once the MySQL database has been migrated to Postgres, we will then use the ysql_dump utility that comes with every installation of YugabyteDB to dump the Postgres database into a YugabyteDB-friendly format. This is one of the very useful traits of ysql_dump: it ensures that your Postgres dump can be fully restored in a YugabyteDB instance.

After getting the dump, we will restore this dump in the blank YugabyteDB database that we’ve created beforehand, thereby completing the migration from MySQL to YugabyteDB!

 

Steps

1. Get the Postgres Docker container

docker run -e POSTGRES_HOST_AUTH_METHOD=trust -p 5432:5432 -d postgres:11

2. Create the MySQL database counterpart in Dockerized Postgres

CREATE DATABASE <db name>;

3. Run Dockerized pgloader to load from MySQL to Dockerized Postgres

docker run --rm --name pgloader dimitri/pgloader:latest pgloader --debug mysql://<user name>:<password>@<ip address of MySQL DB server>:3306/<source database name> postgresql://postgres@<ip address of Dockerized Postgres>:5432/<destination database name>

*If a user error is encountered, make sure the user and IP address combination indicated in the error is created in the MySQL source and has access to the databases to be migrated.”

4. Since pgloader creates a Postgres schema using the database name and puts the tables there, we can change the schema name to “public”

DO LANGUAGE plpgsql
     $body$
     DECLARE
     l_old_schema NAME = '<schema name>';
     l_new_schema NAME = 'public';
     l_sql TEXT;
     BEGIN
     FOR l_sql IN
     SELECT
          format('ALTER TABLE %I.%I SET SCHEMA %I', n.nspname, c.relname, l_new_schema)
     FROM pg_class c
          JOIN pg_namespace n ON n.oid = c.relnamespace
     WHERE
     n.nspname = l_old_schema AND
     c.relkind = 'r'
     LOOP
     RAISE NOTICE 'applying %', l_sql;
     EXECUTE l_sql;
     END LOOP;
     END;
     $body$;

5. In this example, we will be using Dockerized Yugabyte as the destination (also applies to other form factors)

a. 1-node cluster with no persistence: 

docker run -d --name yugabyte  -p7000:7000 -p9000:9000 -p5433:5433 -p9042:9042 yugabytedb/yugabyte:latest bin/yugabyted start --daemon=false

b. With persistence:

docker run -d --name yugabyte  -p7000:7000 -p9000:9000 -p5433:5433 -p9042:9042 -v ~/yb_data:/home/yugabyte/var yugabytedb/yugabyte:latest bin/yugabyted start --daemon=false

6. Go inside the Yugabyte container

a. To access the interactive terminal of the container:

docker exec -it <yugabyte container id> /bin/bash

b. Go to the bin directory:

cd /home/yugabyte/postgres/bin

c. Make sure destination database exists in YugabyteDB:

CREATE DATABASE <destination yugabytedb name>;

d. Dump the database in the Postgres container:

./ysql_dump -h <ip address of Postgres container> -U postgres -d <database name of postgres db> -p 5432 -f <dump name>.sql

e. Restore the Postgres dump in the blank database in the YugabyteDB instance:

./ysqlsh -p 5433 -d <database name of destination yugabyte db> -f <dump name>.sql

 

And there you have it! You have successfully migrated your MySQL database to the future of the database. You have migrated to YugabyteDB!

yugabytedb migration

Exist is your data solutions partner of choice!

Explore the next level of your digital transformation journey with big data and analytics. Let’s look at opportunities to better maximize your ROI by turning your data into actionable intelligence. Connect with us today, and we’ll proudly collaborate with you!

Enterprise Database

The Future of the Database: YugabyteDB

The Future of the Database: YugabyteDB 768 487 Exist Software Labs

The journey to application modernization brought about by the cloud-native renaissance continues, and the benefits to be had are truly being enjoyed by the enterprises that embrace the path. Speed, scalability, resiliency, and agility may seem to just be industry buzzwords, but in reality, they translate to better application deployment, performance, and availability, which further translate to what really matters: happy customers.

This has given way to the concomitant need for databases to adapt to this need for speed, scalability, resiliency, and agility. The way traditional databases have implemented a single-node access to the database cluster via the master node has proven untenable in a commercial environment wherein the need to scale users, not just locally, but across the regional and geographical divide, has become dire and ubiquitous.

This is where the gap is filled by YugabyteDB.

 

What is YugabyteDB?

What is YugabyteDB?

YugabyteDB is a transactional, distributed SQL database that was designed primarily to possess the virtues of the cloud-native philosophy. Its creators wanted a chiefly OLTP database that was fast, easy to add more nodes to, able to tolerate node failures, upgradable without incurring any downtime, and deployable in all form factors (public/private cloud, VMs, and on-prem).

Being a distributed SQL database, it has automatic distribution of data across nodes in a cluster, automatic replication of data in a strongly consistent manner, support for distributed query execution so clients do not need to know about the underlying distribution of data, and support for distributed ACID transactions.

It is a multi-API database that exposes the following APIs (more will be added in the future): 

  • YSQL – an ANSI SQL, fully-relational API that is completely compatible with PostgreSQL 11.2
  • YCQL – a semi-relational SQL API that is based on the Cassandra Query Language

It is a Consistent and Partition Tolerant (CP) database in that in the event of a network partition within the database cluster wherein one of the nodes cannot communicate with the other nodes and determine majority membership, data consistency over availability is prioritized by the system and this node will not be able to accept writes, whereas the nodes that are still part of the majority will remain unaffected.

It is completely open source, released under the Apache 2.0 license.

 

What are the key benefits of YugabyteDB?

The following are some of the benefits that are immediately enjoyed “out-of-the-box”:

  • No single point of failure given all nodes are equal
  • Distributed transactions across any number of nodes
  • Scale write throughput linearly across multiple nodes and/or geographic regions.
  • Low-latency reads and high-throughput writes.
  • Strongly consistent, zero data loss writes.
  • Cloud-neutral deployments with a Kubernetes-native database.
  • Automatic failover and native repair.
  • 100% Apache 2.0 open source even for enterprise features.

In other words, you get a cloud-native, transactional, distributed SQL database system that allows you to read and write on every node in the cluster (with ACID assurance), distribute your application load across many nodes in many regions and geographies, read and write data fast, deploy anywhere, and be highly available—all in open source!

 

Use Cases

YugabyteDB is perfect for:Use Cases of YugabyteDB

Just this morning, social media personality, James Deakin, posted on his FB wall about a particular bank whose “app feels like it’s running on windows 95” (his own words). He ended up closing his account due to the overall poor customer experience brought on by the subpar performance of this bank’s client-facing, internet applications, along with other concerns.

YugabyteDB is perfect for the client-facing, Internet, transactional application.

Want to know more about the Yuggernaut of Distributed SQL? Contact us.

Exist is your data solutions partner of choice!

Explore the next level of your digital transformation journey with big data and analytics. Let’s look at opportunities to better maximize your ROI by turning your data into actionable intelligence. Connect with us today, and we’ll proudly collaborate with you!

The 7 Wonders of Big Data and Analytics in the Power and Energy Sector

The 7 Wonders of Big Data and Analytics in the Power and Energy Sector 768 487 Exist Software Labs

Big data and analytics help the power and energy companies address and overcome new industry challenges through insights-based informed decision-making.

Nothing is forever. Like oil and gas, our natural energy sources are on the brink of scarcity, but global energy consumption is growing each fleeting day. The only way to earn extra time is to optimize its use correctly or gradually shift to renewable energy. To do that, big data and analytics help in automating and digitizing production, demand, and supply.

What is big data and analytics, you ask? IBM defines big data as any data that cannot be captured, managed, and/or processed by traditional management components and techniques. While analytics uses advanced mathematical techniques on diverse big data sets from different sources and in various sizes. In other words, data becomes big data when traditional methods, or a single computer, cannot be used to deal with data. It becomes analytics when these big data sets are processed.

The power and energy sector produces and collects large data sets continuously over some time. This data comes from their technology infrastructure, including sensors, cloud computing, wireless, and network communication. Smart meters alone in about a million households can collect 200 terabytes per minute.

Competitive edge of Big Data and Analytics

Businesses across the power and energy industry face many challenges to manage this data and draw insights from it. But when they start to invest in big data and analytics, data-driven companies will cultivate benefits in the long run. So, let’s look at the seven biggest advantages of implementing a big data strategy for power and energy companies.

1. Energy Efficiency

Energy preservation has always been a global issue. While there are advancements in using renewable and reusable energy, necessity still lies in saving it. But in today’s scene, companies should look more into using energy efficiently, requiring less energy for the same function, which is possible with technology.

By 2035, the Asia-Pacific Economic Cooperation (APEC), in which the Philippines actively participate, targets a reduction of aggregate energy intensity by 45%, based on 2005.

Big data analytics can play a significant part in the power sector’s role in this situation by deriving data coming from smart meters, asset operations, business policies, and weather data. It can be integrated and analyzed over time, which helps design electrical devices with energy-efficiency parameters, thus reducing power requirements. Energy efficiency plays a vital role in reducing carbon emissions. To achieve this, power corporations can forecast usage and predict savings by leveraging big data solutions in this manner.

2. Risk Management

Implementing a big data strategy in any business model can work wonders in assessing and managing hefty risks. It eliminates the practice of deriving business decisions from gut-feel and empowers executives with hard evidence instead. The truth can be said for the power and utility industry. Making informed investment decisions is the pinnacle of effectively utilizing the power of big data analytics.

Energy companies can derive valuable insights from power generation and consumer consumption. Predicting anticipated prices, creating dynamic pricing based on peak usage and demand, and adjusting the business operation model to cope with challenges can be done with data-driven decision-making. Enterprises that can embrace big data solutions’ advantages will have a strong market position and attain sustainable business growth.

3. Power Planning

Coming up with optimized power generation planning is another significant benefit of a big data analytics strategy. The strenuous task of matching power supply with the demand for energy on the grid, or economic load dispatch, can be performed quickly and efficiently by applying advanced big data analytics techniques. In effect, it improves energy production efficiency and lowers production costs.

4. Data Collaboration

Understanding what problems to address is first and foremost before implementing an analytics strategy. Big data analytics can predict production demand in the power sector, enhance efficiency, and optimize the operation process. Whatever it may be, enterprises can work with a wide range of data. Bringing all this data together can take a lot of time, but using big data analytics tools to collaborate all data can streamline the process and present visualized reports. 

5. Supply Chain Visibility

The retail industry utilizes big data effectively, especially in managing its inventory and forecast demand to improve supply chain management. The power sector is no different from retailers with its utilities. Technologies today, such as smart meters and smart grids, integrate with big data systems. This strategy enables enterprises to balance demand and supply, facilitate dispatch decisions, increase efficiency, organize inventory, and enhance reliability.

6. Customer Engagement

It is of vital importance for energy companies to be a data-driven and customer-centric business. Technology advancements, government regulations, and shifting customer behavior fast-track an optimized plan for consumer engagement. With big data analytics implementation, energy companies can shift to engage with customers in highly personalized environments, which can increase customer satisfaction, promote new products and lower the service cost.

7. Predictive Maintenance

Logical algorithms can consolidate and assess a large volume of data for power companies, enabling them to develop more effective business strategies. Energy providers can respond quickly in near real-time by predicting the market using specified vital indicators. Implementing big data will improve equipment monitoring and maintenance that will minimize production hours and system disruptions.

Transformation through Big Data and Analytics

With innovations such as predictive analysis, the power and energy industry is experiencing a large-scale transformation. With the assistance of predictive analysis, grids and meters are becoming more intelligent.

It is more evident today than before that this sector has a vital role to play in delivering essential products and services necessary to the world’s economy. Regardless of the industry’s shifts, power providers should continue to satisfy essential standards to provide energy services that are efficient, accessible, and sustainable.

Businesses continue to grow each day, but there are so many out there who do not have this technology and are not experiencing its benefits. There are real-time predictive analytics, grid operations analytics, and consumer analytics that power and energy providers can invest in.

Investment is mission-critical in this scenario to reap the real benefits of big data and analytics. Each day offers new opportunities, and the best solutions to today’s problems are yet to be done. The new normal calls for new innovations, and it is prime time for the power and energy sector to embrace this idea fully.

Exist is your data solutions partner of choice!

Explore the next level of your digital transformation journey with big data and analytics. Let’s look at opportunities to better maximize your ROI by turning your data into actionable intelligence. Connect with us today, and we’ll proudly collaborate with you!

Asia-Pacific: Fastest Growing Market in Big Data Analytics

Asia-Pacific: Fastest Growing Market in Big Data Analytics 768 487 Exist Software Labs

At a time when the pandemic forced enterprises to cut-down ICT investments, there remains optimism in anchoring big data analytics to improve business performance and derive highly informed business decisions.

About 3 in 4 enterprises in Asia-Pacific choose to keep investments in big data analytics (BDA) solutions or even expand this year, according to the latest COVID-19 survey by IDC. This standpoint is sound for businesses as big data analytics presents proven and essential use in enabling digital trust and resiliency now and post-pandemic, more so.

The coronavirus pandemic has caused a decline in the number of ICT investments. But businesses see technology resiliency as the best way to oppose its negative impact. By gathering relevant insights, enhancing productivity, satisfying customers, recognizing fraud, and reducing expenses, enterprises remain competitive with a data strategy in place. Moreover, enterprises are pushing towards public cloud deployments to optimize BDA investments.

The positive outlook around big data analytics comes at a time when global crisis forced companies to cut ICT expenditures. This decision became almost instinctive because of big data analytics’ proven value in keeping businesses alive amid the pandemic.

Energy sector’s fastest-growing market

In a report published by Mordor Intelligence, the Asia-Pacific (APAC) shows a promising future leading the energy sector’s market growth in big data analytics. The market intelligence and advisory firm cited the increased adoption and demand for IoT and smart technologies in government initiatives across the region.

If there is one thing that the energy sector can reap benefits from big data analytics, it is the power to manage scarce resources. After all, only 5% of the world’s energy consumption comes from renewable sources.

The most remarkable technology that is most likely to boost the market growth in 2021-2026 are smart meter systems. Smart metering in big data analytics involves components, such as grid operations, field services, resource planning, customer experience, and regulatory compliances. Big data analytics in smart metering helps in predicting energy consumption. Clearly, this empowers enterprises in managing supply and demand, and mitigating energy waste.

The same report mentioned India’s growing deployment of almost 2 million smart meters. Which takes advantage of today’s technologies and big data techniques. At the same time, China will be the leading country. Due to its increasing adoption rate of smart meters and smart grids across the country with its large population.

Banks and Telcos leading the pack

Contributing to nearly one-third of spending on big data analytics in the APAC region for 2020-2024, banks and telcos are the top verticals investing in BDA solutions: a report published by the technology research firm IDC.

Capitalizing on financial, transactional, and customer data, the banking industry has always been a haven for big data analytics and will remain so in the foreseeable future. With customers shifting to a more digital experience in banking, bank providers are pushing to scale up their digital transformation as rightfully so. Even though considering complicated legacy banking systems as a hurdle, bank executives recognize prioritizing digital initiatives.

Relatively, the telco industry shows a promising position as the second most prominent investor in big data analytics. Telcos leverage data on customers, sales, and marketing to gain insights for business growth. As we have mentioned before, big data analytics can help optimize the customer experience, which is a big thing for this sector.

State of big data analytics in the Philippines

In Southeast Asia, the Philippines is one of the fastest-growing economies in the region. The country’s expected annual GDP growth surpasses the 5.3% regional average, which stands at a solid 6%. Despite this, competition continues to grow as more digital innovations disrupt traditional business models. Data is everywhere and is becoming more available than ever before. Businesses should see this with a bird’s eye view of how big data can translate to business value. At the same time, customers are engaging with highly personalized experiences.

The Philippines market for big data is still very small. If large firms continue to embrace BDA services and recognize worth, small and medium businesses will follow. This is, however, with a condition. A robust legal framework and support from the government must be in place. Especially, data privacy and security remain to be of major concern.

Optimism in anchoring big data analytics

The big data scene can create around 10 million new jobs in the next five years, Former Globe Telecom chief information officer Henry Aguda shared in an interview with Rappler. If this outlook proves itself, this can directly impact the state of the country’s economy and provide employment opportunities.

Besides employment, possessing hardcore evidence-backed decisions can only do good and be a superpower for firms and organizations. With big data utilized to develop more rigid solutions, businesses can be proactive on what the market wants. In this case, an opportunity is on the rise: tweaking products and services by attending to consumer habits.

Companies worldwide have already established that deeper assimilation and application of data analytics in business translates into greater business value. It is becoming more evident here in the Asia-Pacific region, with enterprises increasing their investment in advanced toots and infrastructure to manage their data better. In this way, companies are taking the right path. A new level of innovation in an increasingly competitive global market.

Exist is your data solutions partner of choice!

Explore the next level of your digital transformation journey with big data and analytics. Let’s look at opportunities to better maximize your ROI by turning your data into actionable intelligence. Connect with us today, and we’ll proudly collaborate with you!

4 Proven Ways Data Analytics Increases Revenue

4 Proven Ways Data Analytics Increases Revenue 768 487 Exist Software Labs

With great data analytics comes great returns.

In this day and age, the influx of data has overwhelmed businesses. Which prevents them from maximizing the potential of big data analytics to drive even more revenue and profit. Forbes shares that there are 2.5 quintillion bytes of data created each day but only 0.5% is analyzed.

In the Philippines, only two out of five companies are highly data-driven. But a good thing to note, most Filipino businesses realize this as an advantage. With three out of five having data and analytics (D&A) teams. (PwC Data Analytics Assessment and Readiness Survey, 2020)

We should know by now that making business decisions based on hard evidence from data is becoming a competency and an edge for those who utilize it. Case in point, the McKinsey Global Institute indicates that data-driven organizations are 23 times more likely to acquire customers, six times as likely to retain those customers, and 19 times as likely to be profitable as a result.

Today, getting the most value out of your data is a superpower that business leaders should invest in. It is a profit-increasing ability based on facts, trends, and statistics rather than a gut feel.

In this blog, we’ll share with you four proven ways that embedding a clear data analytics strategy into your business can maximize your returns.

#1. Improving processes to reduce errors

One of the best benefits of having effective data analytics in your business is improving your processes to reduce wasted money and time. 

For instance, you’re in a bread manufacturing company struggling to predict the right numbers to make in a day. In effect, your company overproduces and ends up with wasted unsold food as it expires in less than a week. Besides that, you want your product as fresh as possible when it goes straight to supermarket shelves.

This is where data analytics comes to play. As a result, you can make more accurate forecasting of the demand and supply. Which can significantly reduce the percentage of loss or waste and increase profitability.

#2. Mapping business performance

Another advantage of utilizing data analytics is data visualization. The power to see how your business performs gives you a clearer picture of your goals and targets.

With the right tools to visualize your company data, you’ll be able to map employee performance, team outcomes, company goals, and quarter results, among others. In other words, this empowers your business to look at rooms for improvement and opportunities to consider.

For sure, presenting numbers and graphs has always been a part of your business reviews. That’s why with the right tool, you can also reduce working hours spent on creating manual reports and data consolidation by automating reports generation. Now, your staff can spend valuable time on more critical operational business tasks.

#3. Optimizing the customer experience

Undeniably, the behavior of customers is becoming a lot clearer and available today. You can gather lots of data from various consumer touchpoints. Such as your company website, social media presence, and electronic payments.

After identifying these touchpoints, data analytics can help you optimize the customer experience. Likewise, businesses can harness data to find new customers, track social media interaction with the brand, improve customer retention rate, capture customer inclinations and market trends, predict sales trends, and improve brand experience.

Using the right data can help you plan out an effective marketing strategy and know when to launch your new products and sales. Data is your lens to interact seamlessly with the right customers at the right time.

#4. Getting ahead of the competition

I can’t stress this enough: there’s a multitude of ways your business can utilize your data. So, using this ability to get ahead of your competition is untapped power.

Firstly, data analytics can identify the best channels for your business that offer more significant ROI and focus on them. It will be a driving force to develop a better, informed marketing and sales strategy by analyzing trends and insights from gathered data. You can even avoid spending thousands on marketing campaigns that don’t even address your target audience.

Another one, analyzing data can reveal what your market needs and wants. Keywords can tell you exactly what features your customers are searching. From its frequency, you can infer the relevant priorities of opposing interests. While the relative change can identify and predict trends in customer behavior. It can even understand where customers are struggling the most and how support should be stationed.

Data Analytics empowers Businesses of the Now

Knowing these ways to embed data is just a starting point. If companies can exploit the potential of big data analytics, they can dodge being a business of the past.

Data and analytics are the key forces to an organization’s digital transformation. That’s why Gartner predicts that by 2022, about 90% of corporate strategies will explicitly state data as a significant asset and analytics as a competency.

That’s quite of an outlook. To reiterate: With great data analytics comes great returns.

In a study of over 400 businesses by Bain & Company, they found out that those with the most advanced data analytics get a larger market share. Moreover, they were twice as likely to be in their industry’s top 25% for profitability and five times more likely to make faster decisions than competitors.

Therefore, we can’t ignore the fact that the world’s data production is accelerating. Its effect on the business landscape is getting more and more realized. And being able to derive business decisions from hardcore data analytics is a power that yields better outcomes.

Exist is your data solutions partner of choice!

Explore the next level of your digital transformation journey with big data and analytics. Let’s look at opportunities to better maximize your ROI by turning your data into actionable intelligence. Connect with us today, and we’ll proudly collaborate with you!

Befriending Your Data in 2021

Befriending Your Data in 2021 768 487 Exist Software Labs

It’s the new year and everybody is still living in the wake of the COVID-19 pandemic. We all need a friend in times of trouble and this is no different in the case of business organizations.

This year, 2021, the friend that your company needs more than ever, especially in these trying times, is data. Given the disruption that this virus caused in the preceding year, enterprises need to start (if they haven’t already) befriending their own internal data, and perhaps external data as well, if they are to at least stay viable and at most grow.

The following are some insights from respected data management leaders on how to make friends with your data this year:

  • “Data warehouses are not going to disappear. Data warehouses will continue to be an important legacy technology that organizations will use for mission-critical business application well into the future. With the transition to the cloud, data warehouses got a fresh new look and offer some modern attractive capabilities including self-service and serverless. With the rise of the cloud, data lakes are the new kid on the block. Data lakes are becoming a commodity, legacy technology in their own right. Their rapid emergence from the innovation stage means two things going forward.

    First, organizations will demand simpler, easier to manage, and more cost-effective means of extracting usable business intelligence from their data lakes, using as many data sources as possible. Second, those same organizations will want the above benefit to be delivered via tools that do not lock them into proprietary data management platforms. In short, 2021 will begin to see the rapid introduction and evolution of tools that allow users to keep their data lakes in one place and under their control while driving performance up and cost down.”

  • “Distributed analytical databases and affordable scalable storage are merging into a single new thing called either a unified analytics warehouse or a data lake house depending on who you’re talking to. Data lake vendors are scrambling to add ACID capabilities, improve SQL performance, add governance, resource management, security, lineage, all the things that data warehouse vendors have been perfecting for the last three or four decades. During the ten years, while data lake software has been coalescing, analytical databases have seen their benefits and added them to their existing stacks: unlimited scale, support for widely varied data types, fast ingestion of streaming data, schema-on-read, and machine learning capabilities. Just like a lot of things used to claim to be cloudy before they really were, some vendors will claim to be a unified analytics warehouse when they’ve just jammed the two architectures together into a complicated mess, but everyone is racing to make it happen for real. I think the data warehouse vendors have an unbeatable head start because building a solid, dependable analytical database like Vertica can take ten years or more alone. The data lake vendors have only been around about ten years, and are scrambling to play catch-up.”

  • “One single SQL query for all data workloads

    The way forward is based not only on automation, but also on how quickly and widely you can make your analytics accessible and shareable. Analytics gives you a clear direction of what your next steps should be to keep customers and employees happy, and even save lives. Managing your data is no longer a luxury, but a necessity–and determines how successful you or your company will be. If you can remove complexity or cost of managing data, you’ll be very effective. Ultimately, the winner of the space will take the complexity and cost out of data management, and workloads will be unified so you can write one single SQL query to manage and access all workloads across multiple data residencies.”

  • “Expect more enterprises to declare the battle between data lakes and data warehouses over in 2021 – and focus on driving outcomes and modernizing.

    Data warehouses can continue to support reporting and business intelligence, while modern cloud data lakes support all analytics, AI and ML enablement far more flexibly, scalably, and inexpensively than ever – so enterprises can go transform quickly.

    Cloud migrations and related cloud data lake implementations will get demonstrably faster and easier as DIY approaches are replaced by turnkey SaaS platforms. Such solutions will slash production cloud data lake deployment times from months to minutes, while controlling costs and providing the continuous operations, security and compliance, AI and ML enablement, and self-service access required for modern analytics initiatives. That means that migrations that used to take 9-12+ months are complete in a fraction of the time.”

  • “Co-locating analytics and operational data results in faster data processing to accelerate actionable insights and response times for time-sensitive applications such as dynamic pricing, hyper-personalized recommendations, real-time fraud and risk analysis, business process optimization, predictive maintenance, and more.

    To successfully deploy analytics and ML in production, a more efficient Data Architecture will be deployed, combining OLTP (CRM, ERP, billing, etc.) with OLAP (data lake, data warehouse, BI, etc.) systems with the ability to build the feature vector more quickly, and with more data for accurate, timely results.”

To summarize the various points made by these industry pundits:

1

SQL-driven data warehouses are here to stay and will continue to be the data analytics platform of choice for enterprises in the current year.

2

Data management platforms that integrate well with existing data lakes will dominate as opposed to platforms that focus on one or the other.

3

Data management platforms that have built-in AI/ML functionalities will dominate as well, as this eliminates the cost and complexity of separate AI/ML analytics platforms.

4

Data management platforms that are cloud-ready will also have an edge over those that are not.

Is there a data management platform that possesses all these qualities and has a proven track record in Fortune 500 companies?

Yes, there is. It’s called Greenplum. Read about it here.

Technology Trends to Keep Filipino Businesses Alive in 2021

Technology Trends to Keep Filipino Businesses Alive in 2021 768 487 Exist Software Labs

With the wave of technologies rising in the past years and the recent challenge facing the world, which technology trends delivered and promise to provide real value for your business?

Even as the Philippine economy slowly resumed with the easing down of public health regulations and distancing protocols, most Filipino businesses still feel the pain brought about by the COVID-19 pandemic, both essential and non-essential.

The World Bank conducted a recent survey of 74,031 firms across industries in the country. Only 5% of these businesses reopened, while 40% began partial operations. Moreover, about 40% of those surveyed remained closed, and 15% are now permanently shut. Respondents of this survey include micro (59.3%), small (19.2%), medium (12.8%), and large (8.7%) businesses.

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Recovering from the recent economic disruption is the biggest challenge businesses face post-pandemic. This global health crisis sped up companies’ digital adoption that amplified technology trends already underway. But researching for the right technologies in the new normal isn’t a walk in the park. The good thing is, you have come to the right place.

We have compiled a list of top technology trends, Filipino businesses should adopt to survive in 2021 and the years to come. This rundown includes the latest trends that will dominate the next months and promising innovations becoming popular.

Top Technology Trends Pushing Business Survival

Click or tap an item in this list to jump to that section:

  1.    Leveraging on Data-centric Solutions

  2.    Mainstream deployment of Internet of Things (IoT)

  3.    Continued dominance of Cloud Technologies

Trend #1: Data-centric Solutions

“Data, or the ability to harness it, is the key factor that will differentiate between a business organization that is there for the long haul and one that is only in survival mode,” Exist Data Solutions Architect Warren Cruz shared on a webinar held last June 10, 2020. You can browse the highlights of the virtual event here.

When done right, a data-driven approach will not only help your business make better decisions but can also help you solve problems, manage performance, improve processes, and understand your customers.

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Here are some ways leading sectors leverage on data-centric solutions:

Retail

The ability to analyze data and find solutions plays a considerable role in the retail industry. Retail organizations leverage multiple data points, such as point-of-sale transaction-level data, customer demographics, social media metrics, store size, and competitive intelligence.

Therefore, analyzing consumer behavior and trends from the past will be the name of the game in the next normal. Proactive retailers will know their customers’ purchasing behavior, improve efficiencies, and cut-down costs of supply chains, and more.

Healthcare

On the other hand, healthcare organizations were forced to adopt digital efforts out of necessity in a short time. This adoption became more evident in our country as new compliance requirements subtly push Philippine hospitals to use EMRs. This includes reporting statistics to measure the quality of healthcare, performance, and nation’s health profile. 

As the 2016 DOH Administrative Order states, “One of the main challenges of today’s health systems is access to real-time quality health information for informed decision making. This has posed a major dilemma especially when the national government needs to analyze health service data coming from various systems at the health facilities.”

Guided by the Philippine eHealth Strategic Plan (PeHSP) for Universal Health Care (UHC), one of the jointly-identified major strategies by the Department of Health, Philippine Health Insurance  (PhilHealth) and Department of Science and Technology is through the implementation of the NeHEMRSV upon which its implementation will improve data capture, processing, aggregation, exchange and reporting on national health data requirements and standardize submission protocols among implementing health facilities. 

Starting with the PhilHealth eClaims submission in 2018 as compliance to the electronic medical record (EMR) implementation. The renewal of hospitals’ license to operate (LTO) for 2020 has a new requirement. EMR system and providers should be duly validated by the Centers for Health Development (CHD) within their respective regions. For which Exist and Medcurial have this distinction.

Further discussed in our previous blog, one requirement for renewing licenses is providing correct clinical data to support claims reimbursements. The outcome is multifold as this forces Philippine healthcare to shift from paper to electronic. It also promotes increased use of data in providing care and upgrade to systems that make better use of IT. Implementing these technology trends will reduce manual errors, manage care complexities and promote evidence-based medicine.

Banking and Finance

Data-driven solutions also benefit banks and financial institutions, especially in this challenging situation as sectors that will help stabilize the economy when this health crisis is over.

PwC Philippines states that banks should develop a dynamic credit decisioning framework and credit scores, consolidating the pandemic’s potential impact. Banks can entrust professional organizations with robust industry experience that are skilled with data analytics.

Furthermore, banks should redesign loan terms or products for existing borrowers using a targeted approach. These data-driven initiatives will help banks keep high-quality loans and retain and attract clients that will trust them.

Government

As the number of infections rose exponentially, many countries struggled in managing data to limit the spread of the virus. But the case isn’t the same for countries that have already invested in data-driven technology trends in anticipation of an event that endangers public health. Singapore, South Korea, and Taiwan stood out with their impressive utilization of big data to combat the contagion.

In an article, Wharton shared that Taiwan created a unified big data platform that collects data from two sources. In addition, these are the immigration and customs database and the national insurance database. Based on clinical visits, travel history, and symptom patterns, they successfully identified cases. This helped them provide real-time alerts to possible infected persons.

Trend #2: Internet of Things (IoT)

Wherever we are today, we’re living in a web of interconnected devices. Each interacting with the other and exchanging digital data on a global scale. This is the Internet of Things or IoT.

IoT is everywhere, and though it isn’t new, enterprises should continue to leverage their opportunities to increase business efficiency and productivity while reducing costs.

Investment in IoT expects to skyrocket in the next year, especially in healthcare and retail. In 2021, we will see the more practical deployment of these technology trends. It will hover through its capacity to solve many obstacles brought by the pandemic to businesses and society.

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Take a look at some innovative implementations of this technology:

Retail

Retail will continue to shift in the next year. Automation with IoT-enabled devices will allow consumers to purchase products without ever needing to interact with a human. That is to say, from entering the store tracked by RFID to fulfilling purchases via cashless payments.

For instance, stores and restaurants nationwide adopted digital technology trends to keep up with their customers’ changing preferences. More and more establishments embraced food delivery apps. This enabled their consumers to place their orders and track real-time delivery at the comforts of their home.

Healthcare

As we continue to have minimum physical interaction, smart connected devices will change how we access medical care as well. This year, people spent most of their time staying at home, thus leaving medical conditions unattended. With new IoT technology trends, doctors can monitor their patients’ health at home using wearables, sensors, and other smart devices. Moreover, this will also minimize unnecessary contact in dealing with viral diseases.

In the Philippines, with more than 100 million inhabitants, it is tough to provide enough medical care to all citizens, especially in rural areas and island communities. With the onset of the coronavirus pandemic, doctors were open-minded and fast, which allowed for the smooth and speedy transition to telehealth devices.

Banking and Finance

Since the onset of ECQ, the volume of ATM transactions in Luzon declined by 25% and the value by 30%. In the same report by the Bangko Sentral ng Pilipinas (BSP), transactions using e-payment services such as InstaPay and PesoNet spiked.

Evidently, customers are migrating online and relying more on their devices to manage finances digitally. This shift away from physical banking services during the pandemic presents opportunities for the financial sector to provide more flexible ways to perform money transactions.

On December 2, BSP issued Circular 1105 outlining the guidelines for financial institutions seeking to apply for a digital bank license. This thrust from the central bank has put them closer to their goal of improving the accessibility of financial services to the unbanked and underserved sectors.

The World Bank states: “studies show that when people participate in the financial system, they are better able to start and expand businesses, invest in education, manage risk, and absorb financial shocks.”

Trend #3: Cloud Technology

Driven by the need for mostly everything to go online, businesses adopting cloud technologies saw a significant increase this year. That is to say, Forbes shares that cloud’s dominance continues to grow. From 30% in 2018, companies will allocate 32% of their total IT budgets for cloud computing next year.

For an archipelago like the Philippines, the opportunity of embracing cloud technology trends presents a multifold of advantages. For example, increased access to services by a larger population and a secure, cost-efficient business model.

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Check out how industries strategize in utilizing this technology:

Retail

Retailers should be responsive to their market and resilient to crisis. Recently, we saw a growth of digital stores in the country. In other words, they embraced e-commerce and anticipated that the “next normal” is business on the cloud. Besides, retailers can take advantage of the cloud’s on-demand scalability to size up during peak hours and back down afterward. Customers also prefer flexible fulfillment options like ePayment solutions, which require cloud-based services.

In a recent survey conducted among Filipinos ages 35-44 by Rakuten, 44% increased their online purchases during the pandemic. To clarify, this data shows retailers how important it is for stores and restaurants to provide shopping convenience to customers. Likewise, by leveraging more cloud services and seamlessly take their business online.

Healthcare

Forced into digitalization, the healthcare sector is at the forefront of adopting the latest data-centric, IoT, and cloud innovations to decrease unnecessary face to face visits and mitigate the risks of infection spread. Using tools like a patient portal for booking appointments and telemedicine allowed care providers to care for patients remotely. For those who are more tech-advanced, these facilities readily tweaked their cloud-based systems to provide contact tracing and disease surveillance as well.

For hospitals still at the transition stage and trying to figure out how they can fully embrace and implement digital transformation in their health care system. To them, it is finding the right balance between analog and digital. However, time is changing, and the pandemic just accelerated it. Before, digital healthcare was a service that is nice to have. But now, hospitals and healthcare institutions should think forward to the future of delivering care where digital is becoming a need for investment.

CitizenWatch Philippines echoes in their statement issued on July 28, 2020, that digitalization will make healthcare services more efficient and accessible to the Filipino people. Further, moving to cloud-based technology trends will significantly improve the public health care system with big data analytics and on-demand healthcare, among others.

Banking and Finance

RCBC Chief Economist Michael Ricafort shared that using cloud-based systems “entails further reduction of operating costs with reduced use of hardware and physical space requirements, thereby also helping boost cost efficiency as well as overall profitability.”

In a joint study by IDC Financial Insights and Huawei Technologies, Philippine banks were among the financial institutions in the Asia-Pacific region using the cloud as a means of storage management.

Pivot and Adapt

As mentioned earlier, the coronavirus pandemic pushed several industries to take a dramatic technological shift. As functional members of society, we see changes in the way we live, work, and interact.

In the US alone, 330 companies filed for bankruptcy and blamed the pandemic for it. Similarly, this scenario isn’t far in the Philippines. In late-September, the Department of Trade and Industry (DTI) survey reported that 6% or about 90,000 businesses, mostly micro small & medium enterprises (MSMEs), remain closed amid the pandemic.

The sad reality is that some businesses may be closing for good, and not all will survive after this pandemic. But those who have the agility to pivot and adapt need to understand that a digital transformation is no longer an option but an expectation of your customers as the way to conduct business.

Since things are not going back to the way they were, the “new normal” as we call it, organizations will need to ask themselves this essential question:

“Am I taking strategic steps today in ensuring the future of my business?”

Answering yes will be a good head start. By now, businesses need to understand that success in uncertain futures only belongs to those who pivot and adapt.

Reader’s Poll

Now, you have a better understanding of how these innovations can help maneuver your business next year. We want to know where you are in your digital transformation journey so we can help you navigate.

With Filipino businesses pushed to scale up their digital transformation efforts and embrace the next normal brought about by the COVID-19 pandemic, where are you currently navigating through the adoption of these technology trends in your business?

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Connect with us today!

Exist empowers businesses to gain a competitive advantage by providing innovative solutions that will help them pivot and adapt to the ever-evolving technologies and drive digital transformation.