Rapid Prototyping in Data Science by LeanBI Bern, September 2016 - - PowerPoint PPT Presentation

rapid prototyping
SMART_READER_LITE
LIVE PREVIEW

Rapid Prototyping in Data Science by LeanBI Bern, September 2016 - - PowerPoint PPT Presentation

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


slide-1
SLIDE 1

Show-Case: Rapid Prototyping in Data Science by LeanBI

Bern, September 2016 Stefan Pauli stefan.pauli@leanbi.ch www.leanbi.ch

slide-2
SLIDE 2 2

Mission LeanBI

‘We enable companies to build digital services based on data’

slide-3
SLIDE 3 3

Overview

Show-Case Embed in Value Creation Questions Demo / Rapid Prototype Introduction

slide-4
SLIDE 4 4

Goal of the Talk

Fancy Algorithms Enabling Tool Keep Big Data Perspective Gained Partner Assist Companies to Start DS Projects Introduction Show-Case Embed in Value Creation Questions Demo / Rapid Prototype

slide-5
SLIDE 5 5

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

slide-6
SLIDE 6 6

Show-Case: Dialysis Filter Production

Source: alibaba.com Filter properties Filter production Temperatur Thickness Material properties

slide-7
SLIDE 7

SHOW-CASE

slide-8
SLIDE 8 8

How to Create Value?

Available Data

  • Org. & Processes

Business Areas Pains Vision Specialists & Employees Senior Mgmt. Corporate Mgmt.

START

Relevant Data Information Knowledge

Value ue

Experience & Implementation Understanding & Measures Processing & Analysis who? what ? how ? what ?

slide-9
SLIDE 9 9

Build rapid prototype Identify pains and vision Refined business case

Workshop 3 Workshop 1 Prepare Decision Decis ision ion

Set priorities & draft business cases

Workshop 2

Workshops: Digitalization and new Business Models

slide-10
SLIDE 10 10

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

Conclusion

slide-11
SLIDE 11

Q&A DISCUSSION