2018 calls for data pool optimisation for companies looking to maximise ROI

Over recent years, it has been more than evident that some businesses have struggled to adapt to the evergreen data sources; leaving them in limbo when it comes to attaining a solid ROI in any area.

 

With the growing number of data streams and databases, it is hard for users to do what is needed with their data to get premium results. Guy Churchward, the founder of real-time streaming stated that; “This has created a dire need to scale out data pipelines in a cost-effective way,” which has led to the top data managers sourcing alternatives which do just that.

With intelligence and data constantly advancing, it is easy for companies to quickly become overwhelmed by a multitude of data sources that were originally thought to be highly beneficial.

The growing number of data pools may seem positive, but when looking to dive into the finer details, your mind can become distracted by all of the amazingly diverse, yet irrelevant metrics that these platforms offer; overall resulting in hampered productivity, and a lack of clarity which could seriously lower ROI.

Ken Hoang, vice president of strategy and alliances at data catalog specialist Alation said that companies are now looking to invest in “an enterprise catalog that brings information discovery, AI, and information stewarding together to deliver new insights to the business.”

It is clear that within the modern age of business, that the way to get the most out of your data management investments is to opt for custom built databases that allow all vital data sources to be amalgamated, so teams no longer have to worry about their data being inconclusive or lacking clarity.

With the focus towards streamlined data pools, we should also see a clear boost in the number of companies choosing to also optimise systems to serve both at-rest, and live data; unifying the two to make the most relevant decisions and further boost the possibility of gaining a solid ROI.

As the possibilities of data continue to grow, and the presence of AI (artificial intelligence) becomes more common and accessible; there is no doubt that teams will be forced to adapt to stay afloat.

This may be a problem for companies stuck with outdated systems, but with quality system maintenance, staying up to date with the evolving sources of data will be of minimal effort.