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From Personal BI to Managed BI with Power BI

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From Personal BI to Managed BI with Power BI

Power BI was initialy a Self-Service BI oriented solution. Personal BI can become a nightmare when not managed. Data governance and data stewardship are good practices to avoid dataset-hell and leverage data culture of your company.
In that session, you'll discover ways to manage your Power BI assets by process, organization and some tools like Azure Data Catalog.

Power BI was initialy a Self-Service BI oriented solution. Personal BI can become a nightmare when not managed. Data governance and data stewardship are good practices to avoid dataset-hell and leverage data culture of your company.
In that session, you'll discover ways to manage your Power BI assets by process, organization and some tools like Azure Data Catalog.

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From Personal BI to Managed BI with Power BI

  1. 1. SQLSaturday Vienna 2016 From personal BI to managed BI with Power BI A journey of Data Governance & Data Stewardship By Jean-Pierre Riehl (France)
  2. 2. SQLSaturday Vienna 2016 Our Sponsors
  3. 3. SQLSaturday Vienna 2016 Who am I ? Jean-Pierre Riehl Practice Manager Data & BI – AZEO MVP SQL Server Chapter Leader– GUSS @djeepy1 http://blog.djeepy1.net
  4. 4. SQLSaturday Vienna 2016 La communauté Data Microsoft Webcasts, Conférences, Afterworks .Pro Shameless self-promotion Save the Date June, 25th Campus SUPINFO Tour Montparnasse, Paris Austrians welcomed
  5. 5. SQLSaturday Vienna 2016 Ready ?
  6. 6. SQLSaturday Vienna 2016 Everyone Analyst to end user IT to end user 2nd wave Self-service BI 1st wave Technical BI 3rd wave End user BI Today, BI extends to everyone
  7. 7. SQLSaturday Vienna 2016 PowerBI.com So, here comes Power BI (everybody is confortable with it ?)
  8. 8. SQLSaturday Vienna 2016 What’s the problem ? Source : Kay Unkroth (SPC 2012) Need best practices ?
  9. 9. SQLSaturday Vienna 2016 What’s the problem ?  Dataset-hell, Open Bar  Too much Data  or No data  Data Quality  Security, Compliance
  10. 10. SQLSaturday Vienna 2016 Data Gouvernance ? « Data governance encompasses the people, processes, and information technology required to create a consistent and proper handling of an organization's data across the business enterprise. » Source wikipedia
  11. 11. SQLSaturday Vienna 2016 How to deal with Data Governance Data Assets Data Supply Chain
  12. 12. SQLSaturday Vienna 2016 What is a Data Asset  Databases : LOB, OLTP, DataWarehouses, DataMarts, MDM etc.  Personal Data : CSV, Excel, web pages, etc.  APIs: Open Data, ISV, Services Porvider, Azure Data Market, etc.  Data Lakes : Big Data, IoT, Azure DocumentDB, etc.  Models : OLAP cubes, Power Pivot, BISM, etc.  Algorithms : Azure Machine Learning, R, Business Rules, etc.  Reports : dashboards, reporting, etc.
  13. 13. SQLSaturday Vienna 2016 What is Data Supply Chain  Data Ingress / Egress  Data Movement  Data Transformation  Data Discovery  Data Sharing  Data Visualization (look at a report)
  14. 14. SQLSaturday Vienna 2016 Can we focus on Power BI ?
  15. 15. SQLSaturday Vienna 2016 Power BI Data Assets  Models, reports, dashboards  Documents (Excel, PBIX)  Storage spaces (groups, sites, onedrive)  Published items (Excel, SSRS)  Content Packs  Sources, Gateways
  16. 16. SQLSaturday Vienna 2016 Power BI Data Supply Chain  Consult  Live Query, Direct Query  Schedule Refresh  Sharing  Alerts, subscriptions
  17. 17. SQLSaturday Vienna 2016  Inventory, cartography  Data Quality, Profiling  Data Lifecycle  Security, Audit, Compliance Governance Actions
  18. 18. SQLSaturday Vienna 2016 Data Stewardship ? « Stewardship is an ethic that embodies the responsible planning and management of resources » Source wikipedia « Data stewardship is the management and oversight of an organization's data assets » Source TechTarget
  19. 19. SQLSaturday Vienna 2016 Introducting Data Steward(s)  Guide  help to find data, make data available  Train  and develop data usages  Verify  then fix and approve  Certify  by enforcing security and policies
  20. 20. SQLSaturday Vienna 2016 Who is the Data Steward Some competencies for Data Steward  Know the business, the company  Data-Awareness  Relational skills  Relationship with users  Relationship with IT people  Accountable
  21. 21. SQLSaturday Vienna 2016 And concretly with Power BI ?  Groups Manager  Data Source Manager  Content (Pack) Manager  Sharing Controller
  22. 22. SQLSaturday Vienna 2016 Data stewardship develops a « Data-Driven organization »
  23. 23. SQLSaturday Vienna 2016 Some Tools
  24. 24. SQLSaturday Vienna 2016 Power BI Admin Portal https://powerbi.microsoft.com/en-us/blog/power-bi-service-march-update-part-two/#usage
  25. 25. SQLSaturday Vienna 2016 Azure Data Catalog
  26. 26. SQLSaturday Vienna 2016 Azure Data Catalog Data Assets Management  Register  Discover  Annotate  Connect CROWDSOURCING API MANAGED OPEN IN TOOLS METADATA
  27. 27. SQLSaturday Vienna 2016 AZURE DATA CATALOG
  28. 28. SQLSaturday Vienna 2016 AZURE DATA CATALOG  What about Power BI Catalog ?  Some sources missing ?  Binding and lineage ?  What is the Roadmap ? ?
  29. 29. SQLSaturday Vienna 2016 Azure Data Factory
  30. 30. SQLSaturday Vienna 2016 Azure Data Factory Data Supply Chain  Ingest  Transform  Publish  Monitor
  31. 31. SQLSaturday Vienna 2016 AZURE DATA FACTORY
  32. 32. SQLSaturday Vienna 2016 Abstraction Zone AZURE DATA FACTORY  What’s the deal with ADF?  Relationship with Power BI ? ?Power BI Azure Data Factory
  33. 33. SQLSaturday Vienna 2016 Some Process
  34. 34. SQLSaturday Vienna 2016 « Data governance encompasses the people, processes, and information technology required to create a consistent and proper handling of an organization's data across the business enterprise. » Source wikipedia « Data stewardship is the management and oversight of an organization's data assets » Source TechTarget
  35. 35. SQLSaturday Vienna 2016 Data Workflows Create Derive Approve “Data Hub” Models, OData, Reports, DWH, MDM, Content Packs, etc. Publish SandBox Enhance Discovery Data Steward User “BI Guy”
  36. 36. SQLSaturday Vienna 2016 « People’s behaviors are governed, not data. » Robert S. Seiner
  37. 37. SQLSaturday Vienna 2016 Tools People Process
  38. 38. SQLSaturday Vienna 2016 Thank You ! Questions ?
  39. 39. SQLSaturday Vienna 2016 How did you like it? Please give feedback to the event: http://www.sqlsaturday.com/494/eventeval.aspx to me as a speaker: http://www.sqlsaturday.com/494/sessions/ sessionevaluation.aspx
  40. 40. SQLSaturday Vienna 2016 Ressources SQL Server 2016 in 15 Minuten https://channel9.msdn.com/Series/SQLServer-2016-in-15-Minuten SQL PASS Austria Meeting Archive http://sdrv.ms/ZFVdnM
  41. 41. SQLSaturday Vienna 2016 Our Sponsors

Notes de l'éditeur

  • Key message:
    Business intelligence, or BI, has come a long way.
    During the first two “waves” of business intelligence, IT professionals and business analysts were the keepers of BI. They made BI accessible and consumable for end users.

    While this approach still applies to complex business intelligence needs, today there is a new “wave”.
    This third wave of BI makes BI available to every kind of user.

    Talking points:
    Today we’re going to discuss Power BI, which is a third-wave solution. Power BI enables EVERYONE to collect, analyze, visualize and publish data.
    This third-wave has the potential to expand the reach of analytics to more users than ever before. Existing analytics platforms and tools can be extended, instead of being replaced, by full-featured solutions like Power BI. Power BI directly connects to existing on-premises data, such as Analysis Services tabular models that were created by business analysts in collaboration with IT. Microsoft Excel and the new Power BI Desktop work hand-in-hand with Power BI, publishing reports and models created by business analysts and getting them more easily in the hands of the business users who can gain insight and take action.

  • Workspaces
    O365 Groups
    External Data, internal data
    Sharing
  • Valuable and Actionable Data
  • Wikipedia :
    Stewardship is an ethic that embodies the responsible planning and management of resources
    Wikipedia :
    A data steward is a person responsible for the management of data elements (also known as critical data elements) - both the content and metadata. Data stewards have a specialist role that incorporates processes, policies, guidelines and responsibilities for administering organizations' entire data in compliance with policy and/or regulatory obligations.
    TechTarget :
    Data stewardship is the management and oversight of an organization's data assets to help provide business users with high-quality data that is easily accessible in a consistent manner
    Techopedia :
    A data steward is a job role that involves planning, implementing and managing the sourcing, use and maintenance of data assets in an organization. Data stewards enable an organization to take control and govern all the types and forms of data and their associated libraries or repositories.
  • Englobe les personnes, les process et les outils pour avoir une gestion cohérente et correcte des données de l’entreprise.

    Goals may be defined at all levels of the enterprise and doing so may aid in acceptance of processes by those who will use them.
    Some goals include:
    Increasing consistency and confidence in decision making
    Decreasing the risk of regulatory fines
    Improving data security
    Maximizing the income generation potential of data
    Designating accountability for information quality
    Enable better planning by supervisory staff
    Minimizing or eliminating re-work
    Optimize staff effectiveness
    Establish process performance baselines to enable improvement efforts
    Acknowledge and hold all gain

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