Data Analytics Should Not Be Restrictive!

Data Analytics Tools Must Be Flexible
Deep Dive Analytics Tools Should Allow Users to Dive Deep Into Data! Imagine that you know you have a problem in your business. Perhaps your sales are slipping in a particular region or your customers are no longer buying a particular product even though you have discounted and promoted the item.
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Data Analytics Tools Succeed When Biz Culture is Aligned

Data Analytics Success Demands a Fact-Based Culture
Does Your Business Culture Support Data Analytics and Data-Driven Action? Data analytics is not just for day-to-day business intelligence. These days, pretty much every business has some form of data analytics software. If your organization has embraced data democratization, you are probably encouraging business users to use BI analytics and, hopefully, your senior executives, middle managers and data scientists are using these BI analytics tools for strategic initiatives, as well.
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Deep Dive Analytics Doesn't Have to be Scary!

Deep Dive Analytics Makes the Plunge Exciting!
Are You Ready to Take the Plunge? Deep Dive Analytics Is the Treasure! Some organizations find it difficult to manage data and to take advantage of business intelligence tools. Integrating data sources is necessary, of course, but once the data is integrated, business users, IT staff, data analysts and senior executives must make sense of the data.
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Clickless Analytics – Disambiguating George (Part 2 of ∞)

Clickless Analytics – Disambiguating George (Part 2 of ∞)
Does not look like a technical heading? It is as serious as my other stuff. And I have forgiven the definition of technical for being ambiguous. The problem for working in a Clickless world starts with the meaning as meant in the input. So, a simple phrase “come on George” Could mean multiple things. A classic problem which the bot engine developers are resolving by using patterns and machine learning. “Come on” said by a mother, boyfriend, boss, colleague, store keeper, the barista could mean entirely different things at different times depending on the previous sentences.
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