Successfully reported this slideshow.
Your SlideShare is downloading. ×

How to add extra intelligence to your business processes

Ad
Ad
Ad
Ad
Ad
Ad
Ad
Ad
Ad
Ad
Ad
Loading in …3
×

Check these out next

1 of 11 Ad

More Related Content

More from delaware BeLux (20)

Recently uploaded (20)

Advertisement

How to add extra intelligence to your business processes

  1. 1. HOW TO ADD EXTRA INTELLIGENCE TO YOUR BUSINESS PROCESSES Pieter Hebben
  2. 2. INTRODUCTION STAGES OF ANALYTICS REPORTING ANALYSIS ADVANCED ANALYTICS
  3. 3. DEMO USE CASES VIRTUAL ASSISTANT TEXT ANALYSIS FORECASTING CLUSTERING
  4. 4. YOU NEED TECHNOLOGY › SQL Server R Services › Cortana virtual assistant › Azure Machine Learning › Cognitive Services › Power BI
  5. 5. YOU NEED DATA RELEVANT ACCURATE SUFFICIENT
  6. 6. YOU NEED ACCURATE DATA › Data quality › Master data › Enterprise data management
  7. 7. YOU NEED SUFFICIENT DATA › The more data, the more easy patterns can be detected › What is enough?
  8. 8. YOU NEED A METHODOLOGY Business Understanding Data Understanding Data Preparation ModelingEvaluationDeployment
  9. 9. ABOUT US CONTACT PIETER HEBBEN › Solution Lead MS Insights › pieter.hebben@delawareconsulting.co m

Editor's Notes

  • Reporting
    Get the data
    Fixed format, not flexible
    Analysis
    Ask questions
    Slice & dice
    Flexibility -> Self-service BI -> see session of Edel
    Advanced analytics
    Some questions are hard to answer by people, too much data (age of big data)
    Use machine learning algorithms & data science to find patterns to help us make decisions
  • Virtual assistant: ask a data related question and get an instant answer
    Forecast: find out what we need to foresee
    Text analysis: find general sentiment, know how customers think about you
    Clustering: find different types of customers to be handled differently
  • AGILE
    EASY TO USE
    LOW TCO
  • Big data vs relevant data
    What is really driving a certain process?
    Identifying relevant data needs a lot of business understanding
  • Data quality
    Master data
    Enterprise data management
    Good foundation
  • The more data, the more easy patterns can be detected
    Making a forecast with just one data point is difficult
    What is enough?
  • ITERATIVE START FROM A CLEAR BUSINESS QUESTION

×