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Nos données face à l'incertain: la culture data par Benjamin Protais (Business&Decision)

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Nos données face à l'incertain: la culture data par Benjamin Protais (Business&Decision)

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Benjamin Protais présente les clés pour qu'une entreprise devienne agile par l'intermédiaire de ses données. Et qu'elle le reste! L'incertitude a augmenté le risque et le coût associé à une donnée de mauvaise qualité. Comment orienter ses équipes vers une "culture data" dans un contexte économique et légal en constant mouvement ?

Benjamin Protais présente les clés pour qu'une entreprise devienne agile par l'intermédiaire de ses données. Et qu'elle le reste! L'incertitude a augmenté le risque et le coût associé à une donnée de mauvaise qualité. Comment orienter ses équipes vers une "culture data" dans un contexte économique et légal en constant mouvement ?

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Nos données face à l'incertain: la culture data par Benjamin Protais (Business&Decision)

  1. 1. DO NEW | DO BETTER | DO MORE | DO RIGHT 1
  2. 2. NOS DONNÉES FACE À L’INCERTAIN LA CULTURE DATA EN ENTREPRISE DO NEW | DO BETTER | DO MORE | DO RIGHT 2
  3. 3. DO NEW | DO BETTER | DO MORE | DO RIGHT 3 Company Data Culture ?
  4. 4. DO NEW | DO BETTER | DO MORE | DO RIGHT 4 Data, an important asset?
  5. 5. Data is the oil of the 21st century … DO NEW | DO BETTER | DO MORE | DO RIGHT 5
  6. 6. A «NEW» STRATEGIC RESOURCE DO NEW | DO BETTER | DO MORE | DO RIGHT “IF OIL IS THE CORE RESOURCE IN THE ERA OF INDUSTRIAL ECONOMY, THEN DATA IS THE MOST IMPORTANT STRATEGIC RESOURCE IN THE ERA OF DIGITAL ECONOMY.” NATIONAL INFORMATION CENTER (NIC)
  7. 7. A «NEW» STRATEGIC RESOURCE DO NEW | DO BETTER | DO MORE | DO RIGHT IN 2020, THE CHINESE GOVERNMENT MADE IT OFFICIAL: THE AUTHORITIES NOW RECOGNIZE DATA AS A “NEW FACTOR OF PRODUCTION”
  8. 8. $21 TRILLION IN U.S. INTANGIBLE ASSETS IS 84% OF S&P 500 VALUE
  9. 9. HOW CONTRIES HANDLE THIS “NEW” STRATEGIC ASS
  10. 10. 80% of data worldwide will reside in enterprises http://www3.weforum.org/docs/WEF_New_Paradigm_for_Business_of_Data_Report_2020.pdf
  11. 11. 11 The road to become a Data-centric company
  12. 12. ARE YOU A DIGITAL NATIVE COMPANY ? DO NEW | DO BETTER | DO MORE | DO RIGHT Their data model and business strategy are built at the same time Inherit appropriate Data Architecture Inherit appropriate Data Culture
  13. 13. TRADITIONAL COMPANY Inherit their data model and culture from their traditional business model They must launch a data- centricity journey
  14. 14. FROM “DATA STRATEGY” TO “DATA VALORIZATION SERVICES” 1DATASTRATEGY Defines how company will leverage Data for doing business Better, Right, More and New and become a Data-centric company 2DATAGOVERNANCE Ensures delivery alignment to Data strategy by animation of people, processes and tools required to create a consistent handling of Data across organization. 3 DATAARCHITECTURE Ensuring a complete, homogenous and well architectured Data information system 4DATASERVICE Delivery and running of all Data services essential for the success of Data Strategy DATA STRATEGY IS A GUIDANCE FOR DATA SERVICES IMPLEMENTATION T OP DOWN APPROACH DATA SERVICES ANSWER DATA STRATEGY STAKES B OTTOM UP APPROACH
  15. 15. 1DATASTRATEGY Defines how company will leverage Data for doing business Better, Right, More and New and become a Data-centric company 2DATAGOVERNANCE Ensures delivery alignment to Data strategy by animation of people, processes and tools required to create a consistent handling of Data across organization. 3DATAARCHITECTURE Ensuring a complete, homogenous and well architectured Data information system 4DATASERVICE Delivery and running of all Data services essential for the success of Data Strategy FROM “DATA STRATEGY” TO “DATA VALORIZATION SERVICES” EFFORT Where do companies focus their ? DATA STRATEGY IS A GUIDANCE FOR DATA SERVICES IMPLEMENTATION T OP DOWN APPROACH DATA SERVICES ANSWER DATA STRATEGY STAKES B OTTOM UP APPROACH
  16. 16. Traditional companies & organizations do not exploit their data assets 12% OF DATAIS BUSINESSCRITICAL 23% REDUNDANT, OBSOLET AND TRIVIAL (ROT) – COSTTO GLOBAL INDUSTRY : 3,3 TRILLION BY 2020 65% DARKDATAHIDDENWITHIN NETWORKS,PEOPLEAND MACHINES THE DATABERG (https://blog.datumize.com/evolution-dark-data) No tool to capture and unlock Dark Data 85% Too much data, Not enough analytics 39% Can only access Structured Data 25% Data is missing or incomplete 66% WHY?
  17. 17. OUR MISSION: SUPPORT COMPANIES TO BECOME DATA-CENTRIC FROM DATA TO VALUE DATA VALUE “THE DATA CLOUD REVOLUTION IS A CATALYST FOR ENTERPRISE DATA STRATEGY : NEW NEEDS, WIDESPREAD USE OF AI, EXPONENTIAL GROWTH IN THE VOLUME AND NATURE OF DATA, EVERYTHING IS PUSHING TO REINVENT THE COMPANY'S DATA STRATEGY” WHAT VALORISE, SHOW & SHARE YOUR DATA "WHAT ARE THE APPROPRIATE DATA SERVICES TO BE IMPLEMENTED". WHAT HOW ORGANIZE & STRUCTURE YOUR COMPANY "HOW MY COMPANY AND MY DATA ARE ORGANISED TO MEET THE DATA STRATEGY". HOW WHY WHY DEFINE YOUR PURPOSE "WHY IS MY COMPANY'S BUSINESS MODEL AFFECTED BY THE DATA VALORIZATION?” DO NEW | DO BETTER | DO MORE | DO RIGHT 17
  18. 18. DO NEW | DO BETTER | DO MORE | DO RIGHT 18 START ASSESSMENT OF DATA MATURITY DATA STRATEGY OF THE COMPANY DATA QUALITY MEASUREMENT WORK ON DATA CULTURE IN THE COMPANY = DATA LITERACY DO WE NEED TO REBUILD THE DATA ARCHITECTURE ? IMPLEMENT APPROPRIATE DATA GOVERNANCE ANIMATE AI INITIATIVE CREATE PERSONALYZED CUSTOMER EXPERIENCE MDM AND DATA CATALOG …
  19. 19. DO NEW | DO BETTER | DO MORE | DO RIGHT 19 DATA LITERACY 5. WORK ON DATA CULTURE IN THE COMPANY «Educate all your Data Stakeholders»
  20. 20. Ian Rogers, Chief Digital Officer at LVMH “The big moment for an organization is when they have embraced the fact that digital transformation isn’t a technical issue, but a cultural change.” 20
  21. 21. DO NEW | DO BETTER | DO MORE | DO RIGHT 21 DATA CENTRICITY AND MODERN BI TOOLS If business leaders are asking the wrong questions, giving them more efficient access to the answers is not the solution. changing the culture of an entire organization takes more than just employing the right technology, or hiring the best data scientists.
  22. 22. Traditional Reporting Traffic schedules are known. You know where you are going and where you are coming from. You don't have to make any effort to get there. And occasionally, the service doesn't work well BI self-service You decide on the time and the route. You can take country roads to discover all the details of your journey IN “BI SELF SERVICE” THERE IS “SELF SERVICE” Interpretation & storytelling Data navigation Autonomy
  23. 23. DO NEW | DO BETTER | DO MORE | DO RIGHT 23 5. WORK ON DATA CULTURE IN THE COMPANY Banking Group 100,000 employees The Data Office promotes the proper use of data “by all and for all” Data for Executives 400 people 1 day Data for Business Data for IT 35 000 people 1 jour + E-learning Data for Data Managers 48 people 14 days + 2 days Learning expedition 1 2 3 Creation of the Data Academy Setting up of 3 training courses
  24. 24. QUESTIONS? THANK YOU FOR YOUR ATTENTION 24

Notes de l'éditeur

  • BATX est un sigle formé sur le modèle de GAFAM (Google, Amazon, Facebook, Apple, Microsoft) en juxtaposant les initiales des quatre entreprises du Web chinois dans les années 2010 : Baidu, Alibaba, Tencent et Xiaomi

  • Data strategy is the first layer.

    After defining the data strategy, companies need to work on the data governance layer.
    the data governance layer Ensure delivery alignment to Data strategy by animation of people, processes and tools. In other words, it is the way my company is organized to control data.

    The third layer is the Data architecture layer
    The target is to Ensuring a complete, homogenous and well architectured Data information system

    And the last layer is the data services themselves ... We will detail them in the next slide

    We have to approach for the Data strategy implementation :
    Top-down approach: the data strategy comes primarily from C-level as a guide for the implementation of data services
    Bottom-up approach: data services are the first response and attempt to address the challenges of the data strategy
    For me, the best approach is a mixed model l!


  • Data strategy is the first layer.

    After defining the data strategy, companies need to work on the data governance layer.
    the data governance layer Ensure delivery alignment to Data strategy by animation of people, processes and tools. In other words, it is the way my company is organized to control data.

    The third layer is the Data architecture layer
    The target is to Ensuring a complete, homogenous and well architectured Data information system

    And the last layer is the data services themselves ... We will detail them in the next slide

    We have to approach for the Data strategy implementation :
    Top-down approach: the data strategy comes primarily from C-level as a guide for the implementation of data services
    Bottom-up approach: data services are the first response and attempt to address the challenges of the data strategy
    For me, the best approach is a mixed model l!

  • If you address all of these 4 layers of data strategy, you will be successful in transforming data into value and becoming a data-centric business.

  • Our objective today is to use our experience to give you some keys and best practices on data governance.

    I will present 12 good practices from very concrete experiences and projects.

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