Companies all over the world are going through a digital transformation now, which in many cases, is all about maturing the data environment and the use of data. Master data is key to this effort. All transformative projects require master data and usually many subject areas. Current efforts to deliver master data to the enterprise are cumbersome, inefficient, and met with limited acceptance.
We’ll look at enterprise use cases of artificial intelligence and show the master data that is needed. We’ll see what some MDM vendors are doing with AI and how the future of MDM will be shaped by looking at some specific MDM actions influenced by AI.
ADV Slides: Increasing Artificial Intelligence Success with Master Data Management
1. Increasing Artificial
Intelligence Success with
Master Data Management
Presented by: William McKnight
“#1 Global Influencer in Master Data Management” Onalytica
President, McKnight Consulting Group Inc 5000
@williammcknight
www.mcknightcg.com
(214) 514-1444
11. Enhance in-car navigation
using computer vision
Reduce cost of handling
misplaced items
improve call center
experiences with chatbots
Improve financial fraud
detection and reduce costly
false positives
Automate paper-based,
human-intensive process
and reduce Document
Verification
Predict flight delays based
on maintenance records
and past flights, in order to
reduce cost associated with
delays
AI in Action in the Enterprise
12. Smart Cities
Track vehicle movements,
traffic data, environmental
factors to optimize traffic
lights, ensure smooth flow
and manage tolling
Retail, Manufacturing
Supply flow, Customer flow
Cybersecurity
Proactive data collection and
analysis of threats
Marketing
Segmentation analysis,
campaign effectiveness
Oil & Gas
Determine drilling patterns,
ensure maximum utilization
of assets, manage operational
expenses, ensure safety,
predictive maintenance
Life Sciences
Study human genome (100s
MB/person) for improving
More AI Business Use Case Examples
13. Where to Look for AI Opportunities
The products
you make and
the services you
offer
13
The supply chain
for those
products and
services
Business
operations
(hiring,
procurement,
after-sale
service, etc.)
The intelligence
used in the
marketing/
approval funnel
for your
products and
services
The intelligence
used in
designing your
product and
service set
14. AI Affects the Entire Organization
• Strategic
• Technical
• Operational
• Talent
• Data
14
15. AI is on the Data Maturity Spectrum
Maturity Level 3 (of 5):
All in on AI
16. Data to Manage
• This is wide ranging, spanning all current data
– eCommerce
– ERP / CRM
– IoT (e.g., Heavy Industry, Factory, Consumer, Health, Aircraft)
• Equipment performance
• Forecast breakdowns
• Health risk
– Publicly available (e.g., governmental)
– Third party
16
17. Customer
account data and
purchase history
AI Data Examples
Call center
recordings and
chat logs
17
Streaming sensor data,
historical maintenance
records and search
logs
Email response
metrics
Product catalogs
and data sheets
Sentiment analysis,
user-generated
content, social graph
data, and other
external data sources
User website
behaviors
YouTube video
content audio tracks
Public
references
19. Data is ready when it is…
• In a leverageable platform
• In an appropriate platform for its profile and usage
• With high non-functionals (Availability, performance,
scalability, stability, durability, secure)
• Data is captured at the most granular level
• Data is at a data quality standard (as defined by Data
Governance)
19
Projects are a series of subject area mastery
20. Robust MDM is half of the effort for AI Success
• Fraud Detection
• Call Center Chatbot
• Self-Driving/Transportation
• Predict Flight Delays
• Marketing – segmentation
analysis, campaign effectiveness
• Smart Cities
• Retail, Manufacturing – Supply
flow, Customer flow
• Oil and Gas Exploration
• Customer
• Employee
• Partner
• Patient
• Supplier
• Product
• Bill of
Materials
• Assets
• Equipment
• Media
• Geography
• Citizen
• Agencies
• Branches
• Facilities
• Franchises
• Stores
• Account
• Certifications
• Contracts
• Financials
• Policies
• Weather
Enterprise Data Domains
21. MDM: Not an Option for AI Apps
Application Focus
Focus is on an Application’s Master Data Needs First
Usually a work effort to get to 2nd, 3rd, etc. applications
Build to Scale!
Enterprise Focus
Focus is on a Subject Area First
Higher Chance of Creating New Organizational Possibilities!
Danger: Build it and They Will Come
Either Initial Focus Needs a Secondary Focus on the Other
It’s the MDM Leadership Challenge!
You’ll do MDM but without a discrete focus on it, not well
22. Either Way
Do it with data specialists
Data modeling, integration, quality
Use a Tool
It’s Operational and Real-Time
Let the Hub create analytical/empowering elements
Make it a discrete project
With high touchpoints with application
Focus on Total Cost of Ownership first for Justification
Build to Scale
It doesn’t take longer to consider all known requirements
Ramp up engagement efforts early (and do often!)
You’ll do MDM but without a discrete focus on it, not well
23. The Real Decision Points
Sponsorship
Subject Area
Publishers or Workflow
Don’t Forget Third-Party Data
Subscribers
AI Applications
Don’t Forget “Common” Artifacts like Data Warehouse, Data Lake, and
Operational
Communications
Data Governance/Stewardship
Roadmapping Around:
24. DaaS SLAs
Build an SLA for the Master Data
MDM Communication and COE
Integration Planning?
Hub Model and Rule Expansion
Mapping elements from Hub to Subscriber?
Customization of elements and DQ rules for Subscriber?
Every new integration will have some!
How Far Does the Build Team Go?
25. MDM is integral to AI Success
• Fraud Detection • Customer
• Employee
• Partner
• Patient
• Supplier
• Product
• Bill of
Materials
• Assets
• Equipment
• Media
• Geography
• Citizen
• Agencies
• Branches
• Facilities
• Franchises
• Stores
• Account
• Certifications
• Contracts
• Financials
• Policies
• Weather
Enterprise Data Domains
26. MDM is integral to AI Success
• Call Center Chatbot • Customer
• Employee
• Partner
• Patient
• Supplier
• Product
• Bill of
Materials
• Assets
• Equipment
• Media
• Geography
• Citizen
• Agencies
• Branches
• Facilities
• Franchises
• Stores
• Account
• Certifications
• Contracts
• Financials
• Policies
• Weather
Enterprise Data Domains
27. MDM is integral to AI Success
• Self-Driving/Transportation • Customer
• Employee
• Partner
• Patient
• Supplier
• Product
• Bill of Materials
• Assets
• Equipment
• Media
• Geography
• Citizen
• Agencies
• Branches
• Facilities
• Franchises
• Stores
• Account
• Certifications
• Contracts
• Financials
• Policies
• Weather
Enterprise Data Domains
28. MDM is integral to AI Success
• Predict Flight Delays • Customer
• Employee
• Partner
• Patient
• Supplier
• Product
• Bill of
Materials
• Assets
• Equipment
• Media
• Geography
• Citizen
• Agencies
• Branches
• Facilities
• Franchises
• Stores
• Account
• Certifications
• Contracts
• Financials
• Policies
• Weather
Enterprise Data Domains
29. MDM is integral to AI Success
• Marketing – segmentation analysis,
campaign effectiveness • Customer
• Employee
• Partner
• Patient
• Supplier
• Product
• Bill of
Materials
• Assets
• Equipment
• Media
• Geography
• Citizen
• Agencies
• Branches
• Facilities
• Franchises
• Stores
• Account
• Certifications
• Contracts
• Financials
• Policies
• Weather
Enterprise Data Domains
30. MDM is integral to AI Success
• Smart Cities • Customer
• Employee
• Partner
• Patient
• Supplier
• Product
• Bill of
Materials
• Assets
• Equipment
• Media
• Geography
• Citizen
• Agencies
• Branches
• Facilities
• Franchises
• Stores
• Account
• Certifications
• Contracts
• Financials
• Policies
• Weather
Enterprise Data Domains
31. MDM is integral to AI Success
• Retail, Manufacturing –
Supply Chain • Customer
• Employee
• Partner
• Patient
• Supplier
• Product
• Bill of
Materials
• Assets
• Equipment
• Media
• Geography
• Citizen
• Agencies
• Branches
• Facilities
• Franchises
• Stores
• Account
• Certifications
• Contracts
• Financials
• Policies
• Weather
Enterprise Data Domains
32. MDM is integral to AI Success
• Oil and Gas Exploration
• Customer
• Employee
• Partner
• Patient
• Supplier
• Product
• Bill of
Materials
• Assets
• Equipment
• Media
• Geography
• Citizen
• Agencies
• Branches
• Facilities
• Franchises
• Stores
• Account
• Certifications
• Contracts
• Financials
• Policies
• Weather
Enterprise Data Domains
35. Increasing Artificial
Intelligence Success with
Master Data Management
Presented by: William McKnight
“#1 Global Influencer in Master Data Management” Onalytica
President, McKnight Consulting Group Inc 5000
@williammcknight
www.mcknightcg.com
(214) 514-1444