So, you’ve read all the right books on lean, agile, and process improvement. You’ve drunk enough of the “quality” cool aid to believe that if everyone else “got it” things in your department or firm would be so much better; you can actually imagine how things could be faster, better and cheaper. If only others could see, taste and implement that same vision.

Data quality is to the information society what quality of materials and products are to the production society. The quality of data in a business is a deciding competitive parameter, and this recognition is currently spreading among businesses throughout the world.

The technological development has generally, along with the development of ERP systems such as SAP, made it possible for businesses to produce, modify and disseminate enormous amounts of data. These data often form the basis for decision making, financial reporting and controlling liquidity, products, clients and suppliers.

Suppose you want/need to improve performance across your enterprise. As you pursue organizational excellence, there are many improvement models, standards, and approaches available. Each might help with part of the business, or address selected compliance requirements, but using several separately can be expensive, confusing, and ineffective. How can an enterprise reap the benefits of the knowledge in a bewildering variety of standards and models? How can this be done efficiently and effectively?