TekMindz Master Data Management Capabilities
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Transcript of TekMindz Master Data Management Capabilities
MASTER DATA MANAGEMENT
Offerings & Benefits
10/3/20132
TekMindz
Snapshot TekMindz is an IT consulting & technology services company with headquarters in India, serving clients across Asia/Pacific, Middle East, North America and Africa. Bringing together people and processes across diverse sectors for organizations around the world, TekMindz enables business enterprises and governments to most effectively serve their customers and citizens.
© Samin TekMindz, India Pvt. Ltd.
About Us
3
• An approach that decouples master information from individual applications and unifies it
• Becomes a central, application- and process-neutral, resource
• Ensures consistent,up-to-date master information across business processes, transactional and analytical systems
• Addresses key data issues such as governance, quality and consistency proactively
• Simplifies ongoing integration tasks
and new application development
What Is Master Data Management?
Customer
Person
Prospect
Citizen
Member
Provider
Employee
CompanyTrading Partner
Organization Supplier
Distributor
Vendor
Office
Product
Service Financial Account
Agreement
Contract
Assets
Locations
Manufactured Goods
What data are we talking about?
CustomerCitizen Organization SupplierProduct Account
ID Last First Street Attribute N…
CRM123 Jones B. 35 West 15th …
ERP789 Jones William 35 West 15th …
SYS456 Jones Billie 36 West 15th …
Prod ID Short
Description
Prod
Category
Prod
Class
Unit of
Measure
1234 Phillips Head
Screwdriver
SD-01 PH-01 Each
1244 Slotted Head
Screwdriver
SD-01 SH-01 Each
1254 Hex Head
Screwdriver
SD-01 HH-01 Each
Gender
Code
English Spanish
0 Not Known Desconocido
1 Male Hombre
2 Female Mujer
9 Not
Applicable
No Aplica
Master Data
Reference Data
Metadata
Account Date Balance
1122345 12/3/11 $400.99
1122345 12/6/11 $650.90
1122345 1/4/12 $233.01
1122345 6/5/12 $0
1122345 6/6/12 $1,000
1122345 8/14/12 $11.11
1122345 9/22/12 $2,333,333
Transaction Data
What is a trusted view?
OPERATIONALAPPLICATIONS
Transactional Applications
Call Center
Warehouse/ Analytics
Web Apps
ANALYTICALAPPLICATIONS
Campaign Management
Big Data
MASTER DATAMANAGEMENT
William Jones
35 West 15th Street
Toledo, Ohio 12345
Barbara Jones35 West 15th StreetToledo, Ohio 12345
Spouse of
Account #429Policy #A43C
Holds accounts
ERP
Billie Jones
NY, NY 32453
36 West 15th Street
Name:
Address:
Address:
CRM
William Jones
Toledo, OH 12345
53 West 15th St.
Name:
Address:
Address:
Warehouse
B. Jones
Toledo, OH 12345
35 West 15th St.
Name:
Address:
Address:
IT APPLICATIONS
Sales
Barbara Jones
Toledo, OH 12345
35 West 15th St.
Name:
Address:
Address:
Item #44958Item #99038Item #00298
Products owned
Data Quality & Data Integration Tools
66
Why MDM?
Complete
All domains, styles,
use cases, industries
Master data
governance
Pre-built, extensible
and customizable
data models and
services
Flexible
Virtual, physical
and hybrid styles
in a single solution
Collaborative
workflow
Reference data
management
Entity resolution
Proven
#1 market share
800 + customers
Lowest risk,
Quickest time to
value
Global reach
Scalability,
performance
Accessible
Designed for big
data
Cloud and mobile
options
Integration across
InfoSphere solutions
Optimized for real
time
InfoSphere Master Data ManagementImproves operational and analytical systems
IBM InfoSphere MDM Covers all implementation styles and the full spectrum of integrations
• Stateless transaction engine for ease of scalability, high availability
• Dozens of customers mastering 100+ million records
Performance & Scalability
• Highly accurate probabilistic matching algorithm
• Relationship linking/inference based on attributes
• Flexibility to link or collapse matches
Entity Matching & Relationship Linking
• Attribute Level access control
• Full history & audit
• Survivorship rules (aka „trust‟ rules)
• Detect and manage data steward tasks
Governance
7
• Web services (SOAP & REST)
• Java APIs
• JMS & MQ
Open Standards
• Fine-grained services based on pre-built model
• Composite services and Batching
• Extension points pre- and post-interaction
• Web service tailoring
Comprehensive Business Services
• Source-level and golden-record-level attribute changes
• Entity link/collapse/split
• Relationship changes
Outbound Event Notification
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Regulatory Compliance
Marketing/Sales Interactions
Billing
New Product Introduction
Financial Planning
Back office Systems
Fraud Avoidance
Customer Service/ CareCustomer
Self Service
Optimizing the business with right-time information
Ensuring all systems have consistent & complete information in real time
Maximizing customer satisfaction & revenue opportunities
Understanding the choices & planning with accurate information
Enrich
Security
SearchStewardship
Hierarchies
Tools
Operational
End to End Master Data Management
Authoring
Critical business processes benefit from a trusted view
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Align goals to key business priorities
Comply with Regulationse.g. Improve privacy preference compliance by 10%
Improve Customer Servicee.g. Reduce time to search for customers by 58%
Lower Operational Costse.g. Decommission 2 of 3 CRM systems
Improve Business Agilitye.g. Integrate new systems (M&A) in weeks
New Market & Product Strategye.g. Increase campaign yields by 5%
What business issues matter most to you?
Optimize Cross-Sell & Up-Sell Processese.g. Increase average deal size by 2%
10
Address key IT initiatives
Duplicate data in customer/product master database
Reports based on missing or incorrect information
Aging systems that are difficult to decommissionIncomplete and
inconsistent master data
Enterprise processes using untrusted, inaccurate information result in inefficiency and low quality decisions
What IT issues reduce trust?
Incorrect customer addresses used for invoicing process
1111
Disconnected Product Information
Streamlined Authoring & Access
• No collaborative authoring of products
• Lack of a single view of products
• No synchronization with up/downstream applications
• No ability to publish to commerce sites or product catalogs
• Collaboratively author, aggregate and distribute product information
• Align with and enforce existing business processes
• Access to consistent product information
• Product factory build process (assembly of products)
Single View of Product
12
InfoSphere MDM Features & Functionality
Virtual, physical and hybrid MDM styles in a single instance Modular implementations and upgrades Collaborative authoring UI enhancements
Data quality via integration with InfoSphere Information Server Enhanced hierarchy support for reference data Dashboard for collaborative authoring workflow Task KPIs to monitor master data quality
Augment master data with unstructured text Expanded patient hub to include clinical attributes
Accelerate Time to Value
Designed for Big Data
Governance Inside & Out
IBM Master Data Management Core Capabilities
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• Multi-Style
– Collaborative MDM
• Authoring, workflow, check in/out services to support collaboration on master data creation, management and quality control
– Operational MDM
• Business services to ingest master data from range of sources, manage it and fulfill all consumer uses of master data
• Over 500 Business Services
• Act as “System of Record”
– Analytic MDM
• Identity resolution & relationship discovery
• Master data simplifies input to analytical environments (DWs) and improves quality (MDM is source)
• Enterprise reporting and analytics
• Industry-specific data warehouses
• Multi-Domain
– Support for Customer, Product, Account, Location, Supplier ….
Data Quality Management
– Duplicate record processing
– Data validation, cleansing & standardization
Event Management
– Event detection & management
– Notification to business processes and systems
Data Lifecycle Management
– Data Governance
– Data access management
– Auditing, enterprise rules and policies
Event Management Data Quality Management Data Lifecycle Mgmt
IBM Master Data Management
Industry SOA Business Processes
Operational MDMCollaborative MDM Analytical MDM
Customer
Customer / Shipping
Product
Location
Supplier
Account
Event Management Data Quality Management Data Lifecycle Mgmt
IBM Master Data Management
Event Management Data Quality Management Data Lifecycle MgmtEvent Management Data Quality Management Data Lifecycle Mgmt
IBM Master Data Management
Industry SOA Business Processes Industry SOA Business Processes
Operational MDMCollaborative MDM Analytical MDMOperational MDMCollaborative MDM Analytical MDM
Customer
Customer / Shipping
Customer
Customer / Shipping
Product
Location
Product
Location
Supplier
Account
Supplier
Account
• Business Processes require trusted data
• Trusted data requires data governance
• IBM providing capabilities to facilitate construction and adoption of these applications
– MDM Application Toolkit (MDAT) - Improved
– Master Data Policy Monitoring (MDPM) – Improved
– Master Data Policy Remediation (MDPR) - Improved
– Master Data Governance Dashboard (MDG) - New
Master Data Governance in MDM
Enforce
Monitor
Identify
Remediate
policy rules through Master Data Policy Remediation
the effectiveness of your rules through Master Data Policy Monitoring
quality issues through Master Data Policy Monitoring and the MDG console
data quality issues through Master Data Policy Remediation and the MDG console
Monitor
Identify
Remediate
Enforce
DataQuality
Integration Flow – MDM & Data Quality
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Sources
Applications
Databases
xls, xml,
Flat Files
Data
Warehouses
z Systems
CRM
Data
Warehouses
eBusiness
ERP
Consuming Applications
Data Validation Standardize & Cleanse
Match & Link Monitor & evaluate
IBM Infosphere Information Analyzer
IBM Infosphere Quality StageIBM Infosphere Master Data
Management
Discover and Cross source analysis
IBM Infosphere Discovery
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Proven, Trusted capabilities with 4 different editions to meet your specific needs
Enterprise Edition
Comprehensiveaddress all your MDM needs with a single comprehensive solution
Collaborative Edition
Collaborative Authoringstreamline workflow activities across users involved in authoring and defining master information
Advanced Edition
Strategicstrategically transform your organizationthrough improved business processes and applications
Standard Edition
Quickest Time to Valuedelivers business value for MDM projects with the quickest time to value
Additional
Components:
Reference Data
Management
Manage and define
reference data as an
enterprise standard
Custom Domain Hub
(Stand Alone)
Enables delivery of
trusted information
based on custom data
domains
Editions
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MDM and Data Warehousing
• Master Data Management (MDM) and Data Warehousing (DW) complement each other; they have significant synergies
– MDM and DW provide quality data to the business but MDM is valuable beyond the DW for 2 reasons
• Latency• Feedback
Analytic Services (DW Models,
Identity Services & Predictive Analytics )
DataServices
Metadata
– MDM and DW have different use cases
• MDM provides a “golden” source of truth that is used collaboratively for authoring, operationally in the transactional / operational environment and supports the delivery of "quality" Master Data to a DW system
• DW systems are a multidimensional collection of historical transactional data that may be include than Master Data used to determine trends and create forecasts
• Introducing MDM enhances the value of existing DWs by improving data integrity and closing the loop with transaction systems
Event Management Data Quality Management Data Lifecycle Mgmt
IBM Master Data Management
Industry SOA Business Processes
Operational MDMCollaborative MDM Analytical MDM
Customer
Customer / Shipping
Product
Location
Supplier
Account
Event Management Data Quality Management Data Lifecycle Mgmt
IBM Master Data Management
Event Management Data Quality Management Data Lifecycle MgmtEvent Management Data Quality Management Data Lifecycle Mgmt
IBM Master Data Management
Industry SOA Business Processes Industry SOA Business Processes
Operational MDMCollaborative MDM Analytical MDMOperational MDMCollaborative MDM Analytical MDM
Customer
Customer / Shipping
Customer
Customer / Shipping
Product
Location
Product
Location
Supplier
Account
Supplier
Account
What‟s New in Collaborative Edition
Governance Dashboard Home page
Customizable Labels and Icons
Single-edit Customization
Multi-edit Enhancements
Related Items Tab
Shared Search Templates
ACM for WebSphere Commerce Phase 2
Information Server for Data Quality
Supporting Stack Updates
Collaborative Edition – Current Home Page
New Governance Dashboard
All numbers are links to view the specific category of entries. Ex. 6 “Urgent” entries in DBWorkflow1
Summary pane with graphical view of assigned entries
Workflow summary with priorities and categories of assigned entries:Current – blueUrgent – yellowCritical - red
Unification of MDM Virtual & Physical
Multi-style, multi-domain MDM in a single operational hub
– Single database instance and schema
– Engine co-residence (WAS container)
– Simplified deployment and management (based on OSGi)
– Unified MDS/MDMS workbench for configuration and customization
– Unified MDS/MDMS installer
– Integration with IBM Support Assistant Data Collector
21
22
Unified MDM solution
2010
Initiate MDS
MDM Server
MDMS for PIM
• Separate products targeted to different MDM use cases
• Best of breed acquisitions
2011-2012
• Single MDM offering
• Common matching engine
• Advanced Catalog Management for attachment to WebSphereCommerce
2013
Operational Server
Virtual & Physical Modules
V9 V10 V11
InfoSphere MDM InfoSphere MDM
Initiate MDS
MDM Server
Collaboration Server
Collaboration Server
• Unified virtual and physical technology into single server capable of supporting multiple MDM use cases
• Hybrid MDM
• Modularity
MDM and Big Data Must Work Together
Master Data
Management
Core Big Data
Technologies
MDM creates
context for big data.
MDM system provides
trusted information and
operationalizes insights
from big data
Big data creates
context for MDM.
Big data provides new
insights from social media
and other sources for
customer profile
InfoSphere MDM Strategy
Single Solution
Designedfor Big
Data
AccelerateTime-to-
Value
GovernInside
& Out
EmbraceNew Era of
Computing
25
Big Data ExplorationFind, visualize, understand all big data to improve decision making
Enhanced 360o Viewof the CustomerExtend existing customerviews (MDM, CRM, etc) by incorporating additional internal and external information sources
Operations AnalysisAnalyze a variety of machinedata for improved business results
Data Warehouse AugmentationIntegrate big data and data warehouse capabilities to increase operational efficiency
Security/Intelligence ExtensionLower risk, detect fraud and monitor cyber security in real-time
The 5 Key Use Cases
26
MDM Industry Use Cases
Healthcare Retail Telco FSS
Social Services Intelligence/ Policing
Manufacturing Insurance
• Clinical Data Hub
• Multi-domain
expansion
• Patient
Registration
• Single view of
Patient
• Fraud Reduction
• Education –
Longitudinal
Record
• Interactive
Marketing
• Advanced Catalog
Management
• Customer loyalty
program
• Person screening
• Entity resolution on
big data
• Provisioning and
Billing
• Customer Churn
• Network Inventory
Master Data
• End-consumer
relationships
• Parts creation &
search
• BOM
Consolidation
• Product
Bundling
• Regulatory
compliance
• Know your
customer
• Policy
Management
• Claims
Processing
• Customer up-sell
27
MDM Market Trends – Analyst Perspective
Implementations are maturing from single domain to multi-domain
MDM cited as the #1 information related project that requires Information Governance to be successful
…visionary BPM and MDM teams turn to process data management, which acknowledges the inherent connection between business process improvement and data quality.
Some vendors may claim to be able to model and support a variety of data domains in a single technology product, but they often lack aspects of functionality, such as collaborative workflow, and experience in dealing with the needs of the different functional groups and business processes that leverage particular master data domains.
Organizations are linking process and data strategies with BPM and MDM
MDM requires Information Governance to be successful
MDM and Big Data strategies should be intertwined
To create competitive advantage, organizations will need to leverage sources of big data, especially social networks, in combination with their MDM strategy.
28
Banking Product
BNP Paribas InfoSphere MDM
MoneyGram International Identity Insight
Suncorp-Metway Ltd InfoSphere MDM
RaboBank InfoSphere MDM
DNB ASA InfoSphere MDM
Insurance
Major Chinese Insurer InfoSphere MDM
Retail
Truffaut InfoSphere MDM
Government Product
A U.S. State Police Department InfoSphere MDM
A Major Municipal Government Agency Master Data Service
State of North Dakota Health and Human Services Master Data Service
Few Cases where MDM proved helpful….
Gartner Magic Quadrants 2012
MDM for Customer Data MDM for Product Data
Gartner estimates that IBM is the market share leader, followed by Oracle, Informatica, SAP and TibcoLink to MQ reports
© 2013 IBM Corporation
30
Samin TekMindz India Pvt. Ltd. Samin TekMindz, Inc.
India-NOIDA
H-171, Ground Floor, Sector-63,
Noida 201307
India
Tel : +91 120 6137000
Fax : +91 120 6137001
United States
2711 Centerville Road,
Suite 400 Wilmington,
DE 19808
Tel : +1-877-774-1211