Feature spotlights
How customers use it
Collaborative Analytics in the Banking Industry
Problem
You have to analyze and solve why there has been a decline in deposits over the past few months. The data is in multiple data sources including the mainframe. And you need to collaborate with an extended team to find the problem and solution.
Solution
Use QMF's Vision interface to create a visualization across the different data sources. Use the visualization to find the problem, and use the integration of QMF and collaborative software such as IBM Connections to solve the problem.
In Place Analytics on LIVE VSAM data
Problem
VSAM is used to store your business transactional data . To analyze this data for business decisions, the data is moved off IBM Z on a daily basis . Moving the data incurs mainframe costs and does not allow for timely insights or decisions.
Solution
Do not move the VSAM data off IBM Z. Analyze it and visualize it in place with QMF modern dashboards and visualizations . Lower costs by diminishing data movement, and by using QMF's data virtualization technology that exploits zIIP engines.