improving quality and adoption: eim sql server 2012
DESCRIPTION
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.TRANSCRIPT
Improving Quality and Adoption – Introducing EIM with 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.
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
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
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
Base Assumption #1
• A major issue is access to relevant and reliable data.
Source: Information Week Reports, 2011
Base Assumption #2
• Data Quality issues affect BI adoption.
Source: Information Week Reports, 2011
Base Assumption #3
• Data Quality issues drive interest in MDM.
Source: Information Week Reports, 2011
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
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…
EIM Definition revisited
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.
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)
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?
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
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.
What does MDS look like?
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Demo Time!
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”
New Features that Contribute to BI Solutions
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