Advanced Analytics: If You Don't Know What You Need, How Can You Succeed?

Advanced Analytics: If You Don't Know What You Need, How Can You Succeed?
Every enterprise is talking about Business Intelligence and Advanced Analytics. Every enterprise has considered the benefits of implementing self-serve analytics across the organization and involving business users in the process. Panel discussions at technology conferences and hallway conversations among executives and IT staff encourage the trend and create anxiety within the organization that has not yet embraced advanced analytics at the grassroots level.
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Visual Analytics Software for Every Business User

BI Analytics Can and Should Be Easy and Visually Informative
Visual Analytics Software and BI Analytics Tools Help to Solve Problems! Studies show that people learn and make connections faster and better when they can see visual depictions of information. The saying, 'A picture is worth a thousand words' is true and understanding that concept is crucial to business success. Users and executives do not want to read through hundreds of pages of information. They do not want to waste time looking for that elusive answer in a twenty-page spreadsheet.
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Take a Deep Dive Into Your Data! It's Easy

Deep Dive Into Data Without Getting Wet!
Deep Dive Into Data with Easy, Sophisticated Data Analytics Tools! You don't need scuba diving gear to get into deep dive analytics. What you need is BI analytics software, and visual analytics tools that are designed to meet the needs of every user. No organization can claim that every business user has the skill of a Data Scientist or an IT professional. But, no matter how 'average' the skills of your team are, you need to equip them with the right data analytics tools to allow them to leverage their professional knowledge and find the information they need to keep your business on track.
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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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