Today, more than ever, businesses rely on data for their decision making, sometimes even vast amounts of data. Data modeling is the leading discipline for understanding business data requirements and representing them in a precise, understandable structure. However, some organizations have difficulty describing and quantifying the business benefits of data modeling.

In this whitepaper, Tom Haughey discusses how to calculate the return on investment (ROI) of data modeling by assessing the economic value of real data modeling benefits, such as improved requirements definition, reduced maintenance, accelerated development, improved data quality and reuse of existing data assets. Learn about several methods for calculating your data modeling ROI, including:

  • Cost/benefit analysis
  • Percentage of savings in development
  • Percent savings of maintenance