Unlocking the Value of Real-Time Analytics

Introduction

Data is everywhere. It is the lifeblood of manufacturing, education, health care, sales, and nearly every other type of business imaginable. According to a November 2018 article from International Data Corporation, the global amount of data will grow from 33 ZB (33 billion GB) in 2018 to 175 ZB by 2025.¹ That is a staggering number to comprehend, and it’s growing every second! Equally important is the speed of new data. Technological advancement means that data is being generated everywhere and almost constantly. How does your organization get access to all that data, and how does it make better decisions from it the moment it is created? How do you analyze such large volumes, and what happens when the data you need to analyze gets too big? How do you keep analysis flowing and producing actionable insights as close as possible to the point at which the data is collected?

Organizations rely on insights from their data, but with such huge volumes created every day, storing it and making it accessible for analysis in real time becomes a huge challenge. Having a large amount of data flowing into your systems is useless if your company cannot make valuable decisions from it. When analyzing all the data, you are often forced to make a choice:

• Do you choose to make your data faster for analysis but lose some accuracy and granularity in the results?
• Do you choose to pull more rows of data to improve accuracy and detail but lose time waiting for the analysis to complete? ...