Case Study:
Pfizer
The Appfluent solution deployed today provides correlated, granular insight into user activity, application data, and database information—without disrupting production warehouse systems. With Appfluent, Pfizer is now able to capture and correlate usage analysis over time and easily share this data between all Pfizer BI / Data Warehousing
constituents.

Case Study:
University of Pittsburgh Medical Center
“Appfluent has quickly become an operational standard to our BI/ Data Warehousing environment. With Appfluent we are able to continuously assess our environment, and ensure service level agreements will be met. “

Case Study:
Business Objects
“We use Appfluent to get a full picture of our BI and data warehouse environment. It helps us develop the best practices to optimize and maximize our BI infrastructure investment.”

Case Study:
Union Bank of California
“With Appfluent, we now have unprecedented continuous, end-to-end oversight into our Business Objects deployment based on user activity and performance metrics which allows us to manage our environment more effectively. “

Case Study:
Owens & Minor
“It is very important for us to ensure that we continue delivering significant value to our extranet users – both in terms of business information as well as user-experience. Appfluent Query Performance gives us the needed insight into data usage and query performance to help us be proactive in managing the growth in our Business Intelligence environment.”

Case Study:
State of New Jersey
"Since implementing Appfluent, we have improved the efficiency and productivity of our Data Management Services unit. It is able to quickly pinpoint application usage and performance inefficiencies, slow reports, and bad queries, allowing us to optimize our data stores and enhance performance. We are providing better service and will be able to support more projects more effectively using our existing staff."

Case Study:
State of Pennsylvania, Department of Public Welfare
“We non-disruptively monitor and analyze all our BI applications, including, but not limited to, our Cognos BI and data warehouse deployment. In addition to the more than 50 pre-packaged Appfluent Reports, we use Appfluent’s Ad-Hoc Reporting to custom build our own reports.“

Case Study:
Global Financial Services Company
With Appfluent, the IT group at this financial services company no longer depends on unreliable user feedback to resolve slow running reports. Rather than spend the time and resources to re-create every issue, they now rely on the usage analysis provided by Appfluent from within their existing BI application.

Case Study:
Fortune 500 Manufacturing Company
With the usage analytics provided by Appfluent, this Fortune 500 manufacturing company is now able to quickly respond to support calls from extranet users without having to expend the time and costs re-creating end user issues.

Case Study:
Global Electronics Distributor
With Appfluent, the company identified and eliminated redundant and unused data, pruned several database instances, and reduced the number of databases supported across the enterprise. The project resulted in significant cost savings of over
$2 million in the very first year.