Show-Case: Rapid Prototyping in Data Science by LeanBI Bern, September 2016 Stefan Pauli stefan.pauli@leanbi.ch www.leanbi.ch
Mission LeanBI ‘We enable companies to build digital services based on data ’ 2
Overview Demo / Embed in Introduction Show-Case Rapid Value Questions Prototype Creation 3
Goal of the Talk Assist Gained Enabling Companies Partner Tool to Start DS Projects Demo / Embed in Introduction Show-Case Rapid Value Questions Prototype Creation Keep Big Data Perspective Fancy Algorithms 4
Why Promote a Rapid Prototype? Customers often need inspiration Convincing the management Low investments A fast start / Ability to start now Baseline for ML results 5
Show-Case: Dialysis Filter Production Temperatur … Thickness Filter properties Filter production Material properties Source: alibaba.com 6
SHOW-CASE
How to Create Value? Corporate Specialists & Senior who? Employees Mgmt. Mgmt. Pains START what ? Available Data Org. & Processes Business Areas Vision what ? Relevant Data Information Knowledge Value ue Processing Understanding Experience & how ? & Analysis & Measures Implementation 8
Workshops: Digitalization and new Business Models Workshop 1 Identify pains and vision Workshop 2 Set priorities & draft business cases Workshop 3 Refined business case Prepare Decision Build rapid prototype Decis ision ion 9
Conclusion Rapid prototyping Fast data cleaning is key Visualization helps to convince the customers Fast access to Machine Learning Services including rapid prototyping First step to big data business case Focus on value creation for new digital services 10
Q&A DISCUSSION
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