Industry NewsBrandPost: How to Kill Complexity with Data Standardization - EverOrange Partners

December 2, 2021

Today, we are in the final, and most important, phase of digital transformation. The first phase started with “mobile”. The second was focused on cloud computing. And today it’s all about data.Data is at the heart of how enterprises create value for their customers, and you cannot win without it. But yesterday’s enterprise data architecture can’t meet today’s need for scale and agility.Enterprises and developers are faced with 3 problems:The need for speed. Disruptors are everywhere, and users are demanding data to make decisions in real-time.
Data is spread across several platforms. These real-time silos make it hard for developers to be agile, and they prevent enterprises from getting the big picture about their customers.
Enterprises are still maintaining legacy systems. These are expensive and they make it hard to optimize for scale.
What if you could simplify these environments to unlock the power of your data across the enterprise? The answer is standardization. It’s about putting data into a consistent format that allows you to use it in real-time and create value for your customers. Our perspective at DataStax is that a successful standardization comes down to two things: technology and people/process.To read this article in full, please click her
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