Do you have a need to forecast products and undertake market, customer and strategic analytics?

There is no data, no people, no processes – just a mandate to get the job done.

Case study in information management productivity improvement
The Problem

• Improving forecasting and strategic analysis of customer revenue and marketing campaign data in a newly spun off organisation.

The Process

• Business Intelligence analytics and data integration server software was used to access data from a variety of sources and produce reports for multiple levels of management.

The Result

• The organisation then upgraded from a PC based forecasting tool to SAS Enterprise BI Server and achieved automation of time consuming analysis, forecasting and multi-level reporting with improved data accuracy.
• Over time a 600% improvement in productivity was delivered
• Analytics supported 10% revenue growth strategic targets

• Solutions Audit to develop current state of platform usage.
  
• Staff and selected end user interview summaries
• A capability matrix for all relevant Administration and Developer roles to develop current state of type and skill depth.
• Outline of your organisation's expected portfolio of requirements for the SAS platform – End State.
  
• End State recommendations on appropriate roles with associated skills.
• GAP analysis based on expected type and depth of skills required to perform Administration and Developer roles.
  
• Executive level discussion paper with results of presentation and recommendations for GAP closure.