Isaac Wilson

Data Scientist // Litmus Datatech

Bio

Isaac Wilson is a data driven enthusiast. He started out analysing online shopping data in 1999 for the completion of his Masters degree at Auckland University. Since university he worked in the intersection of marketing/statistics/and IT working in both client and agency roles. In 2011 Isaac founded Litmus Datatech Ltd which specialises in providing thought leadership and technical solutions to organisations wanting to embrace a data driven approach. Litmus is a team of 7 specialists that bring together the best of IT development, statistical rigour, beautiful visualisations, and solid business thinking.

Complete the questions below to test your data maturity.

Over the next two years, which three of the 14 key performance indicators do you most want to improve on as a business?

Make a note of these before you carry on reading.

The key 14 performance indicator categories:

Productivity

  • Asset & equipment efficiency
  • Inventory efficiency
  • Materials efficiency
  • Utilities efficiency
  • Workforce efficiency

Flexibility

  • Planning & scheduling effectiveness
  • Production flexibility
  • Workforce flexibility

Speed

  • Time to market
  • Time to delivery

Quality

  • Product quality
  • Process quality
  • Safety
  • Security

Now ask yourself – what is your current performance against these three KPIs? Can you tell me how you performed in the last hour, yesterday or last week?

If you can’t answer this question for all three because you aren’t measuring the data, then the next step is clear. Figure out what data you need to enable you to measure it, and decide how you are going to collect that data.

If you can answer it historically; last week or last month – ask yourself, is this retrospective view sufficient for me to really make improvements?

If you can answer it for all three up to the minute, then it is quite possible that shopfloor intelligence isn’t a number one priority for you. Look out for parts 2 and 3 of this blog series for some more insights into how you can make the data work for you.