Endure Data Science and Business Intelligence
  • Home
  • productivity
  • Project Management
  • Testimonials
  • Robotic Engineering Applications
  • Blog

Productivity Improvement

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
Picture
Picture
  • 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.
Powered by Create your own unique website with customizable templates.
  • Home
  • productivity
  • Project Management
  • Testimonials
  • Robotic Engineering Applications
  • Blog