High Definition Adoption Measurement Part VI

Today’s guest post is from John Shaw (Senior Director, Adoption Services) of BravoSolution, a leading provider of spend analysis, (e-)sourcing, supplier performance management (SPM) and healthcare sourcing solutions and a sponsor of Sourcing Innovation (SI). It is the sixth of an eight (8) part series, which, when complete, will form a white-paper that BravoSolution will be releasing to the general populace this Wednesday.

Last Friday’s post (Part V) discussed the importance of the category to High Definition Adoption Measurement (HDAM) and the process required to transition to HDAM given that understanding. HDAM is achieved when adoption measurement and adoption opportunity assessment have been aligned with organizational objectives and category-specific strategies.

Today’s post provides an example of HDAM for an energy company operating in a regulatory environment.

Company B: Measuring Transparency

Our second company is an energy company operating in a European regulatory environment. The organization receives funding from the government and has a legal obligation to follow public sector procurement regulations. These regulations focus heavily on creating a sourcing process that provides equal opportunity to all suppliers.

Whereas the previous private sector manufacturer (Company A) focused their e-sourcing tool on generating supplier value, this organization’s primary focus is:

  • Process Compliance:
    Specific timeline requirements for public notices and publications must be met.
  • Equal Treatment of Suppliers:
    Communications and Evaluations must be timely and fair.
  • Auditability:
    All supplier interactions must occur in the system.

As in our previous example, we can monitor system activities to understand how user behaviours roll up to this overall business objective.

As we change the focus of the analysis to transparency, the metrics we measure in the system also change.

Now we are looking to understand where system functions tie directly to regulatory compliance. Beyond looking for violations, this data also has the potential to serve a quantitate evidence of fair dealings with suppliers in the event of a supplier challenging an award decision in court.

Here are some examples of the types of data we might monitor and react to:

Symptoms of poor adoption.

Part VII will provide an example case study that describes some of the adoption challenges of a national producer of construction materials with respect to sourcing process efficiency.