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Master data management, why?
Turning data into information to support business and decision making
Accurate data is a valuable enterprize asset that requires disciplined governance and
maintenance to leverage its full value
Master Data is a crucial key component at the heart of every business process.
The amount of data increasing rapidly
Enterprise Master Data stored in disparate systems
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Typical goals and obstacles
Aim: high quality of
data
Up-to-date and correct information
Validity for the purpose
Avoiding incomplete data records
Consistent data formatting (e.g. date, phone number)
Architectural obstacles
Isolated systems handling master data
Inconsistent master data models in different systems
Lack of shared understanding of the importance of data governance
No company-wide organizing for master data management
Lack of unified tools for data governance
Governance obstacles
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SmartMDM and Microsoft MDS – together more
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360° view to
master data
Collaborative
processes
Business
rules
Master Data Services
Accelerate data governanceConsolidate data architecture
Excel Add-inWeb UI
Tools for data stewards
Bilot SmartMDMTM
for
DISTRIBUTED master data
management
SOCIALfor the sake of productivity
ANY BACKEND
system
USABILITYdrives end-user
acceptation
RESPONSIVEto support allyour devices
CONFIGUREinstead of coding
WORKFLOWSmake end-users follow
agreed processes
ANALYZEprocess performance and trace bottlenecks
CLOUD OR ON-PREM?
you decide
SmartMDM™ boosts productivity, data governance and data quality by
providing users with intelligent, easy to use workflow-backed forms
tailored to customer’s processes and roles making master data
management a natural part of the business process.
Fully revamped
User Experience
Basic dashboard
to accelerate
start of use
MDS as natively
supported backend
New in SmartMDM 2.3
Our customers use SmartMDM for
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• Product specification process (inlc. dimension calculations, extra characteristis, EAN code generations etc. )
• Business partner validation process (credit limit check, contact information etc.)
• Functional location and project setup process (collect service operation, customer and business data, collect and validate custom properties )
Control
• Simplify complex operations ( managing SAP partner functions for customers, classifications for product groups etc.)
• Manage data in multiple systems using one interface (group SAP – company SAPs)
• Templates and references
Ease
• Integrate external data banks (industry specific product data, address data etc.) into master data
• Do additional actions (product pricing, content for web shop publication)
• Use external services (APIs, like location)
Enrich
• Collect data from the process for audit trail or bottle neck analysis
• Extend the number of users by giving them easy to use toolsBoost
Material
Customer
Vendor
EmployeeCost
center
Project
Product
Account
Microsoft vision for a new eraUnited platform for the modern service provider
CUSTOMER
DATACENTER
SERVICE
PROVIDER
MICROSOFT
AZURE
CONSISTENT
PLATFORM
Enterprise-grade
Global reach, scale, and security to meet
business demands
Hybrid cloud
Consistent platform across multiple
environments and clouds
People-focused
Expands technical skill sets to the cloud for
new innovation
[1] *Gartner “Magic Quadrant for Operational Database Management Systems,” by Donald Feinberg , Merv Adrian , Nick Heudecker, Adam Ronthal, October 2015[2] *Gartner “Magic Quadrant for Business Intelligence and Analytics Platforms,” by Josh Parenteau, Rita L. Sallam, Cindi Howson, Joao Tapadinhas, Kurt Schlegel, Thomas W. Oestreich, February 4, 2016[3] *Gartner “Magic Quadrant for Data Warehouse and Data Management Solutions for Analytics,” by Roxane Edjlali and Mark Beyer, February 25, 2016
This graphic was published by Gartner, Inc. as part of a larger research document and should be evaluated in the context of the entire document. The Gartner document is available upon request from Microsoft. Gartner does not endorse any vendor, product or service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner's research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose.
Magic Quadrant for Data Warehouse
Database Management Solutions3
A leader for the fifth consecutive year
Magic Quadrant for Business
Intelligence and Analytics Platforms2
Furthest in vision; leader 9 years running
Magic Quadrant for Operational
Database Management Systems1
Furthest in vision and ability to execute
Microsoft is a leader for…
SQL Server 2016: Everything is built-in
The above graphics were published by Gartner, Inc. as part of a larger research document and should be evaluated in the context of the entire document. The Gartner document is available upon request from Microsoft. Gartner does not endorse any vendor, product or service depicted in its
research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner's research organization and should not be construed as statements of fact. Gartner disclaims all
warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose.
Consistent experience from on-premises to cloud
In-memory across all workloads
built-inbuilt-in built-in built-in built-in
TPC-H non-clustered results as of 04/06/15, 5/04/15, 4/15/14 and 11/25/13, respectively. http://www.tpc.org/tpch/results/tpch_perf_results.asp?resulttype=noncluster
At massive scale
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2010 2011 2012 2013 2014 2015
SQL Server Oracle MySQL SAP HANA TPC-H non-clustered 10TB
Oracle is #5#2
SQL Server
#1
SQL Server
#3
SQL Server
National Institute of Standards and Technology Comprehensive Vulnerability Database update 2/2016
Microsoft Tableau Oracle
$120
$480
$2,230
Self-service BI per user
Costs reflect EA pricing.
SQL Server
2008
SQL Server
2008 R2
SQL Server
2000XML ● KPIs
Compression ● Policy-Based Mgmt ● Programmability
PowerPivot ● SharePoint Integration ● Master Data Services
SQL Server
2012AlwaysOn ● ColumnStore Index ● Data Quality Services ● Power View ● Cloud Connectivity
SQL Server
2014In-Memory Across Workloads ● Performance & Scale ● Hybrid Cloud Optimized ● HDInsight ● Cloud BI
Management Studio ● MirroringSQL Server
2005
SQL Server
2016Enhanced Always On ● In-Memory OLTP ● Stretch DB ● Temporal Tables ● Enhanced Backup to Cloud ● Polybase ● Real-Time
Operational Analytics ● Row-Level Security ● Query Store ● R Services● Always Encrypted ● Mobile BI
The evolution of Microsoft SQL Server
“Master data is one of the most important types of information in an
organization, and the discipline of MDM is needed to ensure the consistency
of this data across the organization, and when managing relationships with
external constituents (customers, partners, suppliers, etc.). Mastering this data
is critical to maintaining process integrity, which is required for organizations to
maximize their chances of meeting their desired business outcomes.”
Gartner, 2011
Challenges
18
Performance and Scale Modeling and Management Security and Admin
Excel add-in4-8x perf increase for SQL Server 2012 and SQL
Server 2014. Up to 15x faster data loading in SQL
2016.
Entity based stagingLoading data into MDS is now 15-200% faster than
SQL Server 2014.
Model deploymentFaster deployment, and removed size limitations
when deploying models with data.
Custom indexesCreate non-clustered indexes on one or more
attributes to improve query performance.
Transaction log retentionConfigurable settings for retaining the MDS transaction
history table to enable automatic truncation.
Entity sync relationshipShare entities and data between models.
Many to many relationshipsCreate derived hierarchies that support many-to-many
relationships.
Attribute filtersFilter domain based attribute values based on another
attribute.
Business rule extensionsApply user defined SQL scripts as business rule
conditions and actions.
Explorer and Excel IntegrationAbility to open entity view in Excel add-in from Web
Explorer.
Granular security permissionsAllows permissions to be set around read, write, create,
and delete.
Multiple administrator rolesSupport for Super User and Model Admin roles allows for
multiple system administrators, and model level admins.
Smarter caching of permissionsReduces the overhead of adding member and attribute
level security settings.
Member revision history Track change history of members (type 2) through
specialized subscription view.
Change sets and approvalUse change sets to save pending changes.
Data Solutions
Provides storage and
management of the
objects and metadata used
as the application
knowledge
• Object mappings
• Reference Data /
managed object lists
• Metadata management
/ data dictionary
Data Warehouse /
Data Marts MgmtOperational Data
Management
Enable business users to
manage the dimensions
and hierarchies of DW /
Data Marts
• BI scenarios
Central data records mgmt
and consumption sourced
by other operational
systems
A company has adopted 6 “best
of breed” systems from
different vendors. They need to
be able to propagate the
correct customer information to
each system in a consistent
way.
MDS provides a platform for
central schema, integration
points and validation.
Scenario: update vendor contacts
Demand
• Marketing manager Joe receives updated contact information for Sharp Bikes
• The contact information needs to be updated in MDS
Steps to accomplish
1. Check whether there are ongoing requests for the vendor
2. Create a new request to modify vendor data
3. Choose to modify global data to enable contact data edition
4. Maintain contact data and process the request
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Demo highlights
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Integrated Wiki
• Knowledge sharing from users to users
Request level commenting
• Possibility for participants to discuss the request
Field comments
• Highlighting problematic fields
• Provide reasoning and audit data
Collaborative filling
• Multiple users can work on the same request simultaneously
Locking
• Prevents two users from editing the same field
• Manual locking can be used by editor to ”reserve” a section for himself
Scenario: add status classification for vendor dataDemand
• Purchasing organization wants to easily see vendor status. Status is not currently part of Vendor master data in MDS
• Status is either New, Active, Blocked or Discontinued
• The status selection should be positioned under Basic information section on the vendor modification form
Steps to accomplish
1. Add data to MDS via Excel Add-In
2. Add the new attribute on the form as a select field by using MDS Wizard
3. Validate that the field is visible on the form and can be edited along with other global data
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Demo highlights
Editing form and workflow is really easy
Business rules can be used to control whether a field is mandatory, visible and/or editable
MDS Wizard makes it really easy to fill a form section with fields fetched from MDS
Less development, more control!
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