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.
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. 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
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
9. SQLSaturday Vienna 2016
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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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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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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Azure Data Catalog
Data Assets Management
Register
Discover
Annotate
Connect
CROWDSOURCING
API MANAGED
OPEN IN TOOLS
METADATA
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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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« 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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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
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