In a cube in the office there lived an
information worker…
Power BI Self-Service
Information Management
Power Query and Data Stewardship
November 13, 2013
@PNWSQL
Matthew Roche
Microsoft Corporation
@SQLAllFather
Range-erEmailro
nd
IT-dalf
Information
Worker
IT-dalf
Dark Data
steward
Power BI Review
Microsoft Power BI for Office 365
1 Billion Office Users
Discover
Analyze
1 in 4 enterprise customers on Office 365
Visualize
Share
Find
Q&A
Scalable | Manageable | Trusted
Mobile
Demo
SSIM in Power BI
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Challenges and Target Audiences
• Information Workers spend too much time searching for data, and preparing
it for use instead of focusing on actually analyzing the data
• IT spends too much time and resources servicing data requests from the
business while trying to secure and govern data access and use
• The lack of trust in information continues as a significant inhibitor to
businesses
“…only business users close to the content can evaluate information in its business context”
-- Gartner
Power BI SSIM Main Modules
• Stores and processes metadata about data sources, users and their relationships
• Provides data & metadata search functionality across multiple sources
• Connects to corporate data through data integration layer
SSIM in Power BI – Hybrid Data
Publishing
Enabling the Information Management Ecosystem
Fostering a collaborative virtuous cycle for the Data Value Chain
The world’s data
Web data
•
•
•
•
Curated Public
data
Refine
Combine
Annotate
Share
• Discover
• Connect
•
•
•
•
•
Provision
Configure
Secure
Monitor
Operationalize
DATA ANALYSTS
(PRODUCERS)
INFORMATION WORKERS
(CONSUMERS)
IT ADMIN
•
•
•
•
•
•
•
•
DATA STEWARDS
Discover
Combine
Clean
Annotate
Publish/Share
Certify
Categorize
View usage analytics and feedback
The organization’s data
Delivering Tangible Benefits for Customers
A self-service and collaborative way to:
• Seamlessly find and access relevant data
• Easily enrich and reshape data to make it useable
• Improve quality, usefulness and discoverability of data
• Promote the correct usage of trusted data
• Foster a community of productive data users
• Balance self-service data discovery for the business
with IT need for visibility and control
• Reduce human and infrastructure resources
required for data discovery and enrichment
Defining the Data Stewardship
Experience
The Data Steward Role
The Virtuous Cycle of Data Stewardship
Query sharing, management and telemetry
The Data Steward
“ matter expert, sitting in
I’m a business subject
Accountabilities
Skills
•
Making data useful to the business
•
5+ years of industry experience
•
Consistent use of data across the business
•
Proficient with Office (Excel, Word,
•
Promoting and achieving high data quality
standards
•
PowerPoint). Can learn to use Power Pivot
•
Understands data relationships, data process
flows. May know SQL.
Resolving data integrity issues across
stakeholders
Perspectives
•
Process and detail oriented with great
•
”
Work Activities
•
organizational skills
•
IT or LOB as a liaison
between the two.
Depending on the size
and type of the
business, I may do part
of someone else’s job
(e.g. Anna or Vicki).
Analyzes data for quality (particularly as part
of BI work), reconciles data issues
Prides himself on his creative
•
Identifies and acquires new data sources
resourcefulness, passion for quality and
•
Actively analyzes data for ‘semantic’ quality
great interpersonal skills
•
Drives resolution of data integrity issues
A ‘de facto’ steward because of deep
across business and technical stakeholders.
industry expertise and understanding of his
Leads and / or participates in MDM / EIM /
organization’s data sources
DQ initiatives
•
Creates and maintains business metadata,
references data values and meanings, and /
or master data values and meanings
Stewart
Data Steward
Provisions & distributes high quality data
Data Stewardship Experience Overview
Stewart Identifies
Data Curation
Needs
Stewart Analyzes
Usage KPIs
Stewart Creates and
Annotates Queries
Anna Creates Power
Pivot / View / Map /
Query Artifacts
Anna Consumes
Annotated Query
Stewart Shares
Queries
Anna Searches for
Data
Demo
Stewart managing shared queries and
analyzing usage telemetry data
Review
One does not simply walk into data
discovery…
Three Workbooks for the Analysts under the sky,
Seven for the Report Writers in their halls of stone,
Nine for Information Workers doomed to die,
One for the Executive on his dark throne
In the Land of Corporate where the Shadows lie.
One Query to rule them all, One Query to find them,
One Query to bring them all and in the meeting bind them
In the Land of Corporate where the Shadows lie.
Sometimes you
don’t need a king.
Sometimes a
Steward is exactly
what you need.
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Thank you
for attending this session and
supporting the MNW SQL User Group
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