2013-11-13 Matthew Roche Power BI

8/11/2019 2013-11-13 Matthew Roche Power BI

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In a cube in the office there lived aninformation worker


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Dark Data

Information

Worker

Range-er

Emailro

nd

steward

IT-dalf

IT-dalf


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Power BI Review


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Microsoft Power BI for Office 365

1 in 4 enterprise customers on Office 3651 Billion Office Users

Analyze Visualize Share Find

Q&A

MobileDiscover

Scalable | Manageable | Trusted


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DemoSSIM in Power BI

6


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Challenges and Target Audiences

Information Workers spend too much time searching for data, and preparingit for use instead of focusing on actually analyzing the data

IT spends too much time and resources servicing data requests from thebusiness while trying to secure and govern data access and use

The lack of trust in information continues as a significant inhibitor tobusinesses

only business users close to the content can evaluate information in its business context

-- Gartner


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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


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SSIM in Power BI Hybrid DataPublishing


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Enabling the Information Management Ecosystem

Fostering a collaborative virtuous cycle for the Data Value Chain

The organizations data

Discover Connect

Web data Curated Publicdata

The worlds data Refine Combine Annotate Share

IT ADMIN

Certify Categorize View usage analytics and feedback

Secure

Monitor Operationalize

DATA STEWARDS

DATA ANALYSTS(PRODUCERS)

INFORMATION WORKERS(CONSUMERS)

Provision Configure

Discover Combine Clean Annotate Publish/Share


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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

Balance self-service data discovery for the businesswith IT need for visibility and control

Reduce human and infrastructure resourcesrequired for data discovery and enrichment

Improve quality, usefulness and discoverability of data Promote the correct usage of trusted data Foster a community of productive data users


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Defining the Data StewardshipExperience

The Data Steward RoleThe Virtuous Cycle of Data Stewardship

Query sharing, management and telemetry


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StewartData Steward

Provisions & distributes high quality data

Im a business subject

matter expert, sitting inIT or LOB as a liaisonbetween the two.Depending on the sizeand type of thebusiness, I may do partof someone elses job(e.g. Anna or Vicki).

Making data useful to the business

Consistent use of data across the business

Promoting and achieving high data quality

standards

Resolving data integrity issues across

stakeholders

Accountabilities 5+ years of industry experience

Proficient with Office (Excel, Word,

PowerPoint). Can learn to use Power Pivot

Understands data relationships, data process

flows. May know SQL.

Skills

Analyzes data for quality (particularly as part

of BI work), reconciles data issues

Identifies and acquires new data sources

Actively analyzes data for semantic quality

Drives resolution of data integrity issues

across business and technical stakeholders.Leads and / or participates in MDM / EIM /

DQ initiatives

Creates and maintains business metadata,

references data values and meanings, and /

or master data values and meanings

Work Activities Process and detail oriented with great

organizational skills

Prides himself on his creative

resourcefulness, passion for quality and

great interpersonal skills

A de facto steward because of deepindustry expertise and understanding of his

organizations data sources

Perspectives

The Data Steward


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Data Stewardship Experience Overview

Stewart IdentifiesData Curation

Needs

Stewart Creates andAnnotates Queries

Stewart SharesQueries

Anna Searches forData

Anna ConsumesAnnotated Query

Anna Creates PowerPivot / View / Map /

Query Artifacts

Stewart AnalyzesUsage KPIs


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DemoStewart managing shared queries andanalyzing usage telemetry data


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ReviewOne does not simply walk into datadiscovery


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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.


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Sometimes youdont need a king.

Sometimes aSteward is exactlywhat you need.


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Thank youfor attending this session andsupporting the MNW SQL User Group

Documents

2013-11-13 Matthew Roche Power BI