Deep Dive Analytics Tools We Can All Love!

Are Data Analytics Tools Good for All Types of Users?
Is Deep Dive Analytics Software Suitable for Analysts AND Business Users? The right business intelligence analytics software is a necessity. Gone are the days when guesswork and gut feelings were appropriate tools to manage your business. AND, if you are like most businesses, you are holding every team member accountable for results and for meeting objectives and goals. But, it isn't enough to fill a conference room once a year or once a quarter and talk about goals.
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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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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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