Data

Blame the data (it can’t fight back)

Is your team working extra hard, but you are still missing milestones? Chances are your data is lying to you.
● Data quality: are the different teams/people logging all of the information in a timely manner and in the same way? Does a ticket ‘Completion Time’, for example, mean the exact same thing for everyone?
● Data quantity: do you have enough standardised data, across projects and teams, to give you a strong frame of reference that allows decision making?
● Excel-ing: is the data retrieved and crunched correctly and usefully?

In my experience bigger and more bespoke projects, with little cross interaction, usually cause both data quality and data quantity issues.
This is where we love cross contamination. Knowledge sharing and best practices are key to getting it right.

When data is inconsistent, or incomplete, or misinterpreted, the impact goes beyond your dashboards, it hits decision making.
(and we didn’t even start touching on KPIs…)

How much time are you spending on perfecting your decision-support data?