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.
To find out the root cause of a problem like this, you have to dive deep into the data, which means that data from multiple sources must be integrated and that your data analytics tool must be flexible enough to all you to drill down, drill through and manipulate data to find the source of the problem.
Deep Dive Analytics Software allows your business users to look at expense, sales, salaries, customer analytics, profitability, suppliers, and more in order to get a clear, comprehensive picture of the data. The right data analytics tools are not restrictive, so users can build the view and use the data they need and find the root cause of a problem or identify a business opportunity.
Deep dive analytics lets you dive into the data to ask questions and solve complex problems with ad hoc analysis and a large range of data operations to explore and discover answers from within the data.
A comprehensive Data Analytics Tool allows your users to analyze data for any time period and compare ad hoc time periods, and users can ask questions on the fly to make decisions. This type of BI analytics tool gives users many options so they can choose filters on unlimited dimensions and drill into the data in any way they wish. Users can add columns, compare disconnected time periods and rank, filter, sort and change data operations to get the results they need to make confident decisions.
Original Post: Data Analytics Tools Must Be Flexible