Business Intelligence and Data Analytics Blog
Information and Discussions on Business Intelligence, Data Analysis, and Management featuring: Strategies, Best Practices, PARIS Product Tips and News
Big data is here to stay and Predictive Analytics is the way to stay ahead of the game. Ever wondered how we got here and were we are going? This really cool infographic by FICO shows some breakthroughs made over the centuries to make Predictive Analytics and the insatiable need to make sense of our data what it is today.
Lack of Communication between IT and End Users. Business Intelligence solutions should appeal to both the IT department and end users.
Most businesses have the ability to capture data from customer transactions and day-to-day operations, and through research. However, the significant problem after accumulating data is how to turn the data into intelligence that can improve the bottom line. A major issue that businesses battle with when analyzing data is TIME. With so many other crucial activities it becomes difficult to allocate time to analyzing complicated data. This situation is even worse when a business has to battle with limited resources, including staff constraints. Then, too, there are cases when different departments must consolidate data into one critical report—an extremely cumbersome process.
Insufficient Training For Business Intelligence projects to be successful it is important that users: both IT and end users feel comfortable with using the implemented solution. Solution: All users who will be directly using the BI software solution need to be trained and have access to up-to-date manuals to help them get acquainted with the product.
Business Intelligence software solution providers usually promise a better reporting system for organizations. However waiting for long hours for a report to run can make business intelligence projects ineffective.
Business Intelligence projects are supposed to offer a quick solution that help organizations to make better informed decisions, attain data security, and discover ways to increase profitability. However, when BI implementations become never-ending, (near-completion projects), they give employees more work than usual.
Forcing users to stop using Excel or other spreadsheet applications is one of the top reasons why Business Intelligence projects fail. End users who are love to use spreadsheets are faced with the problem of having to adjust to using a new Business Intelligence software solution that does not work well with Excel.
Mobility in business intelligence (BI) has gone from being a nice-to-have option to become an ultimate necessity for many businesses. Organizations that choose Business Intelligence solutions with mobile features could gain a competitive advantage over others with the ability to make informed decisions.
List of 3 important but simple non technical questions to ask a Business Intelligence vendor when choosing a Business Intelligence software solution.
The technical process of moving from Spreadsheets to Business Intelligence (BI) Software Solutions seem complicated and never ending to many users. How can Businesses make Business Intelligence Migrations, easy, quick and painless?