Deep Dive Analysis

Handling large amounts of data for business analytics can be challenging. To defeat data overload and manage those mountains of data, you need smart aggregation and consolidation of relevant data encompassing appropriate contextual information over a relevant period.

New BI tools have made this job easier with deep dive technology that enables simple analytics and allows you to leverage sophisticated tools, in an easy-to-use environment so that you can not only report on your data but you can get to those hidden nuggets of data that will have the most impact on your organization.


New BI tools employ deep dive technology to allow the enterprise to drill into that mountain of data to find the most important piece of information. Find out why your top five stores are performing so much better than your other locations. Look at your product price points and make decisions with razor-sharp focus, so you can see where, how and why these price points are driving success or slowing sales in any location, at any time of year, by any sales person.

Deep Dive technology allows the average user to develop and analyze reports without the assistance of a programmer or analyst so the user can be productive and make course changes quickly to avoid a misstep.

With these tools, your users can leverage Cross-Tab OLAP Analysis and other ad hoc query tools to analyze business opportunities and make prompt, effective business decisions. BI tools allow your users to leverage pivot tables and OLAP analysis via a browser-based environment to keep the user in touch and productive while they are on the road.

One of the other benefits of these BI tools is that it enables objective metrics and measurements to clearly see how your organization, department, division or team is doing and whether they are achieving goals and plan numbers. Integration with data extraction and cube management features, and ad-hoc queries and BI reporting gives you a complete, detailed, clarified view of corporate performance.

Your team can use time series features to automatically sort and view data by year, quarter, month, week, day, hour, minutes or seconds, and forecasting and predictive analysis to leverage historical, integrated data from multiple enterprise systems and build a forecast for pricing, budgeting, products, competitive landscape or any one of a number of other strategic, tactical and operational forecasts.

Today’s business intelligence (BI) is more agile and ensures high-performance analysis and reporting. Deep Dive technology allows businesses to dig out from under the mountain of data and find those few critical facts that will help them develop the next new product, or address customer needs before the customer knows what they want, and consistently stay ahead of the market and the competition.