Analytics

Analytics 2018-06-14T22:36:02+00:00

Data Thread

In this age of big data, the ever-growing repositories in government organizations don’t always equate to valuable data as data analytics capabilities don’t readily include the parsing of disparate repositories into usable data. Once a data analytics capability can be “pointed” to good data, costly configuration or customization becomes an ongoing effort as the organization changes. So, the data required to produce the dashboards that effectively support leadership decisions are hard to come by. The fundamental IT concept of “garbage in-garbage out” has never been more real. The quality of the data we use is critical.

“Without data you’re just another person with an opinion.”  W. Edwards Deming

On the positive side, our customers already have tools to capture and analyze their data. On the negative side these data are often not relevant enough to the goals and objectives our customers strive to achieve. Traceability is also critical to achieve relevancy.

Our primary focus is to regain the value of DATA by validating not only the data itself, but the metrics the data belongs to, so we know we are capturing relevant data. In the context of organizational performance, the measuring stick is the organization’s strategy, i.e. how well the organization is executing its strategy in terms of reaching goals and meeting objectives. Only then, can data analytics uncover the INSIGHTS that inform the executive DECISIONS that lead to PROGRESS.

“Not everything that can be counted counts, and not everything that counts can be counted.” Albert Einstein

Metrics

The ability of an organization to successfully adapt to changes, both external and internal, is a critical factor in its success. Whatever the vision, the mission, or the destination of that organization, it ultimately exists to deliver a product or a service to a customer. That customer’s satisfaction is another critical factor in the organization’s success.

But successfully satisfying a dynamically changing demand for products and services must also be cost-effective for the very survival of the organization. And that cost-effectiveness is a direct result of two more critical success factors: financial management and operational excellence.

Analytics

Our Analytics capability focuses on these four factors through the work of our consultants and coaches to ensure they are addressed and properly leveraged:

  • Our consultants ensure that appropriate metrics are defined, and measures of performance are captured or computed to carefully address these factors at all levels of the organization. Our customer decides whether to cascade organizational objectives through organizational functions, hierarchy, or a combination of both, and we work with them every step of the way.
  • Our coaches focus on securing the organization’s leadership commitments, empowering leaders to communicate a clear strategy where teams and individuals easily find their roles along with clear individual objectives that bring strategy execution and accountability to every person in the organization.

As a result, Data Analytics run on a strategy-aligned set of measures of performance and can now realize the promise of data-driven decision making, through various executive dashboards that present measures of performance addressing these critical factors.

“Measurement is fabulous. Unless you’re busy measuring what’s easy to measure as opposed to what’s important.” Seth Godin