What exactly is deep dive analytics? It might help to think of deep dive vs. simple analysis as a comparison similar to a one-ingredient dish vs. a dish with multiple ingredients, flavors and aromas. Which would you rather eat? Exactly! You want something that provides all the flavors and the experience you need in dining.
When you are considering a business intelligence tool, you may not think it is important to consider whether that solution has the capacity to provide cross-tab analysis. Even though cross-tab analysis has been around awhile, it is still very relevant and, when it is paired with other great business intelligence tools, it can be a powerful feature to provide data clarity and support confident business decisions. Business intelligence software with cross-tab analysis enables a 360° view of data and a BI reporting tool that offers insight into data in a way that other tools do not.
When it comes to data analytics, one can skim the surface, or take a deep dive into the data and, in so doing, find those hidden ‘nuggets’ of information that will change the perspective of the business, confirm a theory or reveal the root cause of a problem. With the right business intelligence solution, deep dive analytics is accessible to every business user.
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.
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.
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.
The Gartner Magic Quadrant is a well-known report and tool both for vendors and for prospective customers. The Gartner Business Intelligence Magic Quadrant offers in-depth analysis of the current market and predictions of where the market is going. There is no doubt that the Business Intelligence market has moved toward Advanced Data Discovery tools and self-serve tools like Self-Serve Data Preparation, and Plug n’ Play Predictive Analysis.
Extract, Transform and Load (ETL) refers to a process of connecting to data sources, integrating data from various data sources, improving data quality, aggregating it and then storing it in staging data source or data marts or data warehouses for consumption of various business applications including BI, Analytics and Reporting. It offers high quality data, which otherwise resides in poorly structured heterogeneous, complicated data sources.
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.
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.
