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.

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. SQLSaturday Vienna 2016
Our Sponsors

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Who am I ?
Jean-Pierre Riehl
Practice Manager Data & BI – AZEO
MVP SQL Server
Chapter Leader– GUSS
@djeepy1
http://blog.djeepy1.net

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La communauté Data Microsoft
Webcasts, Conférences, Afterworks
.Pro
Shameless self-promotion
Save the Date
June, 25th
Campus SUPINFO
Tour Montparnasse, Paris
Austrians welcomed

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Ready ?

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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

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PowerBI.com
So, here comes Power BI
(everybody is confortable with it ?)

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What’s the problem ?
Source : Kay Unkroth (SPC 2012)
Need best
practices ?

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What’s the problem ?
 Dataset-hell, Open Bar
 Too much Data
 or No data
 Data Quality
 Security, Compliance

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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

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How to deal with Data Governance
Data Assets Data
Supply Chain

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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.

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What is Data Supply Chain
 Data Ingress / Egress
 Data Movement
 Data Transformation
 Data Discovery
 Data Sharing
 Data Visualization (look at a report)

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Can we focus on Power BI ?

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Power BI Data Assets
 Models, reports, dashboards
 Documents (Excel, PBIX)
 Storage spaces (groups, sites, onedrive)
 Published items (Excel, SSRS)
 Content Packs
 Sources, Gateways

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Power BI Data Supply Chain
 Consult
 Live Query, Direct Query
 Schedule Refresh
 Sharing
 Alerts, subscriptions

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 Inventory, cartography
 Data Quality, Profiling
 Data Lifecycle
 Security, Audit, Compliance
Governance Actions

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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

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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

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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

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And concretly with Power BI ?
 Groups Manager
 Data Source Manager
 Content (Pack) Manager
 Sharing Controller

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Data stewardship
develops a
« Data-Driven organization »

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Some Tools

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Power BI Admin Portal
https://powerbi.microsoft.com/en-us/blog/power-bi-service-march-update-part-two/#usage

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Azure Data Catalog

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Azure Data Catalog
Data Assets Management
 Register
 Discover
 Annotate
 Connect
CROWDSOURCING
API MANAGED
OPEN IN TOOLS
METADATA

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AZURE DATA CATALOG

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AZURE DATA CATALOG
 What about Power BI Catalog ?
 Some sources missing ?
 Binding and lineage ?
 What is the Roadmap ?
?

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Azure Data Factory

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Azure Data Factory
Data Supply Chain
 Ingest
 Transform
 Publish
 Monitor

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AZURE DATA FACTORY

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Abstraction
Zone
AZURE DATA FACTORY
 What’s the deal with ADF?
 Relationship with Power BI ?
?Power BI Azure Data Factory

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Some Process

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« 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

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Data Workflows
Create
Derive
Approve
“Data Hub”
Models, OData, Reports, DWH, MDM, Content Packs, etc.
Publish
SandBox
Enhance
Discovery
Data
Steward
User
“BI Guy”

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« People’s behaviors are governed, not data. »
Robert S. Seiner

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Tools
People
Process

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Thank You !
Questions ?

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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. 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. SQLSaturday Vienna 2016
Our Sponsors