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Rise of Self Service Analytics: What’s your take?

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Are you a BI-nosaur?

Gartner’s Research Director Joao Tapadin has coined this new term for people who are still using traditional business intelligence (BI) platforms, and considering new norms like Self Service Analytics as mere trends. According to Joao at year’s Gartner BI Summit, these BI-nosaurs will eventually become extinct if they don’t accept new norms and best practices in the world of business analytics.

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Self service analytics is disruptive, yet it empowers your employees to run their own analyses with the data (more often raw data), raise questions about the data, evaluate it, gain insights (of course!) and infer the data as per their business needs.

You and Self Service Analytics

Are you ready to move your business to full self service analytics? Yes, there are definite advantages to that for sure – the different teams in your organization wouldn’t have to be dependent on each other, or on any analyst, to access and grab reports from your data. Your sales team will run their own sales reports, marketing team can analyze the ROI of their efforts directly and tweak their marketing strategy accordingly, and what you would get is an ideal situation where teams are being more productive with direct access to data and self service analytics. But is it really so?

What if someone misinterprets the data? Miss the key insights completely because they are looking at the wrong data or running the wrong analysis? The chances of misuse of data and/or analytics can be limitless. 100% self service analytics is definitely not the answer – you need a professional to not only streamline your data, optimize your business analytics tools, but also to plan your analytics strategy. And that’s where Cresco comes in.

How Cresco can help you

Your analytics strategy should be a combination of BI reporting and self-service analytics, and Team Cresco will show you how to balance both types of business analytics. Our experts will counsel the different teams in your organization how to identify key insights from data, work with visualizations to avoid the wrong analyses, data conflicts, and finally, perform further analyses on their own. Our data scientists will enable your different teams to leverage self-service analytics in the right way. And you can then definitely avoid the tag of a being a “BI-nosaur”.

To get started with self service analytics, get in touch with us today.

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