Which indicators tell you whether a data project is working: adoption, quality, time to result, business impact and cost.
Many data projects launch without defining how success will be measured, leaving them defenceless when it is time to justify the investment. Defining KPIs from the start turns a bet into a manageable initiative.
The KPIs of a data project are the indicators that tell you whether it works: whether it is used, whether it is reliable, whether it delivers on time and, above all, whether it moves a business metric.
Above all, the ultimate indicator is the impact on a business metric: margin, close time, churn, defaults. A project with much technical activity but no effect on any business metric is not adding value, however sophisticated.
KPIs should be defined before starting, not at the end. A baseline lets you demonstrate improvement and correct course in time, and is the best way to justify the investment and prioritise the next initiatives.
A project with much technical activity but no effect on a business metric is not adding value.
Measure a data project on adoption, quality, time to result, business impact and cost — with business impact as the ultimate KPI. Define them before starting, set a baseline, and you can demonstrate value, correct course and justify the investment.
Adoption, data quality, time to result, impact on a business metric, and cost versus value generated.
The impact on a business metric (margin, churn, close time). Technical activity with no business effect adds no value.
Before starting, setting a baseline, so you can demonstrate improvement and correct course in time.
Because a dashboard, API or dataset nobody uses delivers no value, however well built. Adoption is the first signal of usefulness.
They tie the project to a measurable baseline and a business metric, turning a subjective bet into demonstrable value.
It is not adding value, regardless of technical sophistication. KPIs surface that early so you can correct course.
Tell us what you want to achieve. Data Layer connects, processes and delivers the result up and running, with no infrastructure for you to manage.
