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BIG DATA to FAST DATA
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"BIG DATA to FAST DATA"

WHY ENTERPRISES SHOULD STEP UP THEIR DATA GAME?

Rising customer expectations and unprecedented amounts of data have created the need for organizational data strategies to be revamped. While Big Data forms a considerable part of the data strategy, Fast Data applications have become necessary to fight competition. Find out how Fast Data is changing the data landscape and why enterprises should pay attention?

The digital revolution combined with the rise of IoT has created massive amounts of data that have not been witnessed before. All of our daily interactions & conversations are being captured by digital processes so these messages can be analyzed to gain valuable insights into our behavior and preferences.

Fast data is a lesser-known term than Big Data. Real-time applications on top of fast data are transforming the game for data-oriented businesses such as telecom, financial services, healthcare, and manufacturing. They are also changing the way developers build applications to handle these data streams.

While organizations have given a lot of importance to operational and performance-based insights because of traditional Business Intelligence tools that generate reports and dashboards on historical data, real-time insights have been largely ignored.

Nine out of ten enterprises said they’re considering re-evaluating their fast data analytics strategy. Those eyeing Fast Data solutions for the first time want to make better business decisions based on fast data insights, improve their data quality and consistency, and achieve financial benefits like higher revenues and reduced operational costs.

If, like other organizations, you’re looking to elevate your data strategy to include Fast Data solutions, Knoldus can step in and help you. Fast Data solutions by Knoldus offer technical expertise and end-to-end support that works hand-in-hand to create value out of high-velocity, high-volume data. We help organizations design, build and run streaming data pipelines and reactive microservices.


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