improving quality and adoption: eim sql server 2012

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Improving Quality and Adoption – Introducing EIM with SQL Server 2012

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As your organization matures in its understanding of the value of BI and data as a strategic asset, it's only natural it will demand more from its BI platform. Use this growing maturity as an opportunity to introduce the concept of Enterprise Information Management (EIM) to the organization. The concept may seem foreign to some, but when examined within the context of improving the quality of the information, which ultimately leads to better adoption of the BI platform, the benefits are compelling.Join Perficient as we explore the technologies that will introduce the EIM concept to your organization, namely Master Data Services (MDS) and Data Quality Services (DQS). We'll even see these technologies in a live demo.Presenter Duane Schafer leads Perficient's national Microsoft business intelligence practice. He has more than 16 years of experience providing guidance and thought leadership in the areas of Enterprise Information Management, Business Intelligence and Data Warehousing.

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Page 1: Improving Quality and Adoption: EIM SQL Server 2012

Improving Quality and Adoption – Introducing EIM with SQL Server 2012

Page 2: Improving Quality and Adoption: EIM SQL Server 2012

About Perficient

Perficient is a leading information technology consulting firm serving

clients throughout North America.

We help clients implement business-driven technology solutions that

integrate business processes, improve worker productivity, increase

customer loyalty and create a more agile enterprise to better

respond to new business opportunities.

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PRFT Profile

Founded in 1997

Public, NASDAQ: PRFT

2011 Revenue of $260 million

20 major market locations throughout North America— Atlanta, Austin, Charlotte, Chicago, Cincinnati, Cleveland,

Columbus, Dallas, Denver, Detroit, Fairfax, Houston, Indianapolis, Minneapolis, New Orleans, Philadelphia, San Francisco, San Jose, St. Louis and Toronto

1,800+ colleagues

Dedicated solution practices

600+ enterprise clients (2011) and 85% repeat business rate

Alliance partnerships with major technology vendors

Multiple vendor/industry technology and growth awards

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Perficient brings deep solutions expertise and offers a complete set of flexible services to help clients implement business-driven IT solutions

Our Solutions Expertise & Services

Business-Driven Solutions• Enterprise Portals• SOA and Business Process

Management• Business Intelligence• User-Centered Custom Applications• CRM Solutions• Enterprise Performance

Management• Customer Self-Service• eCommerce & Product Information

Management• Enterprise Content Management• Industry-Specific Solutions• Mobile Technology• Security Assessments

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Perficient Services End-to-End Solution Delivery IT Strategic Consulting IT Architecture Planning Business Process & Workflow

Consulting Usability and UI Consulting Custom Application Development Offshore Development Package Selection, Implementation

and Integration Architecture & Application Migrations Education

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Our Speaker

Duane Schafer• Manages the National Microsoft BI Practice at Perficient.• 16 years experience in providing guidance and thought

leadership to his clients in the area of Enterprise Information Management, Business Intelligence and Data Warehousing.

• Provided services ranging from Enterprise Data Warehouse architecture to EIM strategy and has worked with several Fortune 500 companies.

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Base Assumptions Quality is important

What is EIM?• Gartner definition and functions

Exploring the EIM services within SQL Server• DQS - Data Quality Services• MDS – Master Data Services

Recap

Agenda

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EIM Poll

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Perficient’s Microsoft Practices

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Microsoft NBU

SharePointBusiness

Intelligence(Duane Schafer)

Cloud

• Content

• Sites

• Communities

• Composites

• Insights

• Search

• Security

• Dashboards

• Scorecards

• OLAP

• DW

• Integration

• MDM / DQS

• Security

• Scalability

• Time to market

• DAC support

• Tenancy

• Integration

• Reporting

• Security

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Base Assumption #1

• A major issue is access to relevant and reliable data.

Source: Information Week Reports, 2011

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Base Assumption #2

• Data Quality issues affect BI adoption.

Source: Information Week Reports, 2011

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Base Assumption #3

• Data Quality issues drive interest in MDM.

Source: Information Week Reports, 2011

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Gartner EIM Definition

• Enterprise Information Management (EIM) is an integrative discipline for structuring, describing and governing information assets regardless of organizational and technological boundaries to improve operational efficiency, promote transparency and enable business insight.

- From Gartner Group, BI Summit 2007

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What does it mean?

“Really long definition… “

• EIM maturity model? Ignore it for now…

• Master data stewards? Ignore that for now…

• Master Blaster? Wrong movie…

• Definition implies an EIM program (with technologies) is needed…

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EIM Definition revisited

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EIM Service Layers

OLTP DW OLAP

ETL CEP SOA

OLAP Predictive

• Storage

• Integration

• Analytic

Data Quality Master Data• IQ Governance

Traditional BI SSBI• Delivery

Share/Search KM• Collaboration

Note – there is no implication of ‘service layer’ maturity here, however our EIM program is now more mature because we’ve defined additional layers.

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What is DQS?

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• DQS is a knowledge-driven solution that provides both computer-assisted and interactive ways to manage the integrity and quality of your data.

Data Cleansing Matching Reference Data Services Profiling Monitoring Knowledge Management (built from domains)

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What is the DQS process?

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What are the DQS components?

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Server Client

Note – If you have SharePoint, you have SQL Server. If it’s SQL 2012, you have DQS.

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What does DQS look like?

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DQS – Main Page

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DQS – Domain Management

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DQS – Domain Management

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DQS - Profiling

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DQS - Quality

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DQS - Administration

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DQS - Integration

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DQS - Integration

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DQS Architecture

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What is MDS?

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• MDS is a service that allows an organization to consistently define and manage their master data. (i.e. non-transactional)

Build the model Models, Entities, Attributes (base components) Hierarchies, Attribute Groups, Collections (complex components)

Enhance the model Business rules, Approval Workflows

Map data to the model Maintain the model Expose data from the model

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What is the MDS process?

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What are the MDS components?

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Server Clients

Note – If you have SharePoint, you have SQL Server. If it’s SQL 2012, you have MDS.

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What does MDS look like?

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Demo Time!

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MDS – Explore model

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MDS – Attribute Groups

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MDS – Hierarchies

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MDS – Collections

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MDS – Build model

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MDS – Business Rules

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MDS – Business Rules

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MDS – Integration

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MDS – Views

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MDS – Views

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MDS Architecture

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What did we just see?

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Introduced a simpler definition of EIM

Described ‘major’ service layers of EIM Filled the last major technology gap to EIM implementation

Empowered the business (increase adoption)

Increased visibility into data issues (increase quality)

• i.e. “A set of functions we should be good at.”

• “Information Quality Governance”

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New Features that Contribute to BI Solutions

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Thank You!

Contact: Duane Schafer314.971.4663

[email protected]

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