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INTRODUCTION
Exposing the data-based decision gap
Today, data is at the core of every business and every decision. At
least, it should be.
1
According to Forbes Online: New Vantage Partners – Big Data Executive
Survey, less than 39% of businesses have been successful in their
efforts to create a data-driven enterprise.
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Many of the causes of this
problem can be traced back to one central issue—managing your
own analytics platform becomes more complex over time, requiring
increasingly larger staff and cost investments. As data grows in volume
and evolves in form, analytics self management eventually necessitates
one of two possible sacrifices (or, often, a mixture of both):
1.
You'll be forced to divert resources away from business-critical
tasks such as innovation and application development in order to
"feed the beast" of self-managed analytics services.
2.
You'll need to lower your expectations for your business' ability
to store, manage, and process data at the scale and speed your
business requires.
Two common strategies of alleviating these issues—migrating to
the cloud and adopting open source solutions—are steps in the
right direction, as these changes will boost flexibility, efficiency, and
availability. But most of the challenges of self-managing open source
analytics persist, regardless of the sophistication of your technology
stack.
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https://newvantage.com/2020/01/NewVantage-Partners-Big-Data-and-AI-Executive-Survey-2020-1.pdf
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https://online.hbs.edu/blog/post/importance-of-business-analytics
