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Datawarehousing & Business Intelligence Summit 2016

Datum Prijs Contact
6 en 7 april 2016 €1.340,- seminars@adeptevents.nl
+31 (0)172 742680
Tijd Locatie
9:30 - 17:00 Mercure Hotel Amsterdam City
Volgende editieTYPE
March 2018
Datum Prijs
6 en 7 april 2016 €1.340,-
Tijd
9:30 - 17:00
Locatie Contact
Mercure Hotel Amsterdam City seminars@adeptevents.nl
+31 (0)172 742680
Volgende editie
March 2018
TYPE
Datum
6 en 7 april 2016
Prijs
€1.340,-
Tijd
9:30 - 17:00
Locatie
Mercure Hotel Amsterdam City
Contact
seminars@adeptevents.nl
+31 (0)172 742680
Volgende editie
March 2018
TYPE

Programma-inhoud

Het programma start om 9:30 uur en duurt tot 17:00 uur. Registratie is mogelijk vanaf 8:30 uur. Indien het seminar volledig online wordt verzorgd, starten wij om 9:00 en duurt het tot 16:30 uur met blokken van een uur met korte pauzes.

Ontvangst, registratie en uitreiking documentatie

 

  1. Data Strategy:  Rationale
  • What is a data strategy and why do organisations need one?
  • The changing relationship between business and data strategy
  • What a data strategy is and what it is not
  • The components of a data strategy

 

  1. Data Strategy: Where to Begin? 
  • Overview of a simple, four step approach to developing a data strategy
  • Purpose of each of the four steps
    • Step 1: Business Goals and Strategy
    • Step 2: Current State Assessment
    • Step 3: Proposed Future State
    • Step 4: Implementation Roadmap
  • The importance of iteration and agile change management

 

  1. Data Strategy Step 1: Business Goals and Strategy  
  • Stakeholder identification and engagement
  • Capturing business goals, motivation and drivers
  • Understanding and capturing data problems and opportunities
  • Making an outline business case for action
  • Primary outputs and artefacts

 

  1. Data Strategy Step 2: Current State Assessment   
  • The concept of data maturity
  • Baselining current data maturity
  • Focusing on business critical data priorities
  • Identifying primary action themes
  • Primary outputs and artefacts

 

  1. Data Strategy Step 3: Proposed Future State    
  • Identifying new / enhanced data management capabilities
  • Visualising current state versus future state
  • Aligning business priorities with data improvement activities
  • Gaining stakeholder support and buy in
  • Primary outputs and artefacts

 

  1. Data Strategy Step 4: Developing the Roadmap 
  • Detailed outline of data strategy content
  • Defining an actionable roadmap
  • The critical importance of quick wins
  • Managing change and the importance of communication
  • Primary outputs and artefacts

 

  1. Delivering the Roadmap: Data Governance
  • Business and IT roles in data strategy delivery
  • The relationship between data strategy and data governance
  • Data Governance organisational structures
  • Assigning data strategy ownership
  • Tools and technologies to support implementation and management
  • Tracking data strategy delivery and benefits
  • Ensuring the data strategy aligns with changing business priorities and needs

 

  1. Summary & Conclusions
  • Review: delivering a data strategy for success
  • The evolution of the data professional’s role
  • Case studies of success
  • Digital innovation and foundational excellence.

Sprekers

Rick van der Lans

Krish Krishnan

Mike Ferguson

Jan Henderyckx

Harm van der Lek

Daragh O Brien

Emiel van Bockel

Lex Pierik

Pieter den Hamer

Goud en Platina Partners

Exposanten en Mediapartners

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  • Logisch Datawarehouse – Architectuur, Ontwerp en Technologie
  • Big Databasetechnologie
  • Designing, Operating and Managing an Enterprise Data Lake

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E: seminars@adeptevents.nl
T: +31 (0)172 742680
M: +31 (0)6 113 118 60
W: www.adeptevents.nl

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