Why are Data Platforms Occupying the Minds of Enterprise CIOs?

Data is essential for today’s businesses. It allows a glimpse into customer wants and needs, market trends, and operational performance. That is why the Big Data industry was worth $169 billion in 2018 and $274 billion in 2022, a 62% increase. However, with the expanding volume, variety, and velocity of data created by businesses, it has become increasingly more challenging for companies to organize, and make sense of, the plethora of data available to them. This is where enterprise data platforms come into play. This blog post will dive into the data platforms.

What Are Data Platforms?

A data platform is a software paradigm that allows users to store, process, and analyze large amounts of data. Data platforms provide a unified framework for data across an organization, making data available and usable. Data platforms also offer features and tools to facilitate the management, analysis, and visualization of data. Data platforms can work with structured and unstructured data and integrate with a variety of data sources and systems.

This flexibility for integration allows for the combination of data from multiple sources to provide a more complete picture. Additionally, data platforms provide real-time options for analysis and reporting, which allows for rapid decisions to be made based on new data. This is especially advantageous in today’s fast-paced business world where organizations need to be able to respond to rapidly changing market conditions or consumer behaviors.

Key Components and Features of Data Platforms

• Storing and managing data: This is the backbone of any data platform, allowing for the storage of vast quantities of data in one central location.
• Processing data: This part enables the organization to process data and manipulate and analyze the data to gain insights.
• Analyzing and visualizing data: This is where organizations can actually use the data to help make decisions. Data platforms provide tools for studying and analyzing data and to visualize the data to assist understanding and communication.
• Data security and governance: A data platform will also include functionality for securing and governing data to assist organizations with regulatory compliance and the organization’s data management policies.

Some well-known data platforms include Hadoop, Snowflake, and BigQuery. Hadoop is an open-source platform commonly used for processing and storing Big Data. Snowflake is a cloud-based data platform that lets users do data warehousing and analytics. Another example of a cloud-based data platform is BigQuery, which allows you to analyze Big Data. Data platforms come in many shapes, sizes, and types, and these are merely a few types.

Why Are Enterprises Adopting Data Platforms?

As the Internet of Things, social media, etc. gains popularity, businesses are creating data at an unprecedented pace. This data comes from various sources, including sensor data, customer engagement, financial transactions, etc. Trying to keep up with, manage, and understand all that data has become an increasingly large undertaking for organizations. Traditional approaches to data collection and analysis are now clearly ineffective. Data platforms allow organizations to:

Accommodate the increasing volume, variety, and velocity of data generated.

• Process and interpret large volumes of data in real-time, allowing them to make quick, informed decisions.
• Better understand their customers, products, and operations. Based on this information, strategic decisions can then be made to help organizations gain a competitive edge.

What Problems Are Data Platforms Solving for Enterprises

In addition to combating the difficulties that come with managing and analyzing large volumes of data using outdated approaches, data platforms address the following:

• Scalability issues: CIOs are constantly seeking solutions that can scale as data escalates, given the size of data being generated today. Data platforms provide solutions to this issue, as they allow organizations to store data and process it in a centralized, and scalable system.
• Reporting issues: Traditional data analysis and reporting processes can take days or weeks to complete. Data platforms enable organizations to analyze data and report it in real time, enabling them to make fast, informed decisions.

Driving Data-Centric Success with Emergys Big Data Services

Building and managing a data platform doesn’t have to be complex. Emergys Big Data Implementation and Managed Services help CIOs design, deploy, and maintain scalable, secure, and high-performing data ecosystems.

From readiness assessments and governance best practices to performance tuning, integration, and continuous management — we ensure your data works for you. With ongoing monitoring, analytics, and proactive support, Emergys keeps your platforms optimized and reliable, enabling faster, smarter, and more strategic decisions.

The Way Forward

Data platforms are becoming more important to the business world. The CIO is a key player in getting data platforms into the enterprise and managing them. The data platform establishes many opportunities: the ability to manage large amounts of relevant data, gain insights quickly in real time, and make decisions based on information.

The reality is, Big Data Implementation and Managed Services are critically important to organizations successfully implementing a data platform. These managed services provide expert guidance and support from ‘cradle to grave’ of data platform management–design to ongoing maintenance and support. When working with qualified experts, organizations can ensure their data platform instantiates their needs, and any issues can be resolved quickly.

Don’t let your enterprise miss out on the value a data platform may create.

Contact Emergys today to learn more about how we can help you unlock the power of your data and help you stay ahead of the competition