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Cloud Integration and Data Management Summer School
Lesson 2: Using Cloud MDM to Deliver a Single View of Your Customer
Clive Bearman, Director of Marketing, Informatica CloudSteven Mitchell, MDM Evangelist, Informatica CloudMartyn Leman, MDM Consultant, Cloud Perspective Ltd.
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Summer School Overview
• Curriculum
• Good News - No test!
• Complete all 3 lessons receive gift card for a summer treat
Lesson Title Date
1Don’t Get Cast Away on a Data Island
The Essential Guide for Connecting to SalesforceTues 6/18
10:00 am PST
2Customer Relationships Don’t End In September
Using Cloud Master Data Management to Deliver a Single View of Your Customer
Thurs 7/1810:00 am PST
3Working from the Beach
Mobilizing Processes for the Smart Phone GenerationThurs 8/15
10:00 am PST
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Why are there 3 lessons?
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There are 3 BIG
challenges.
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1Salesforce Becomes Another Data Silo
2Salesforce Data Becomes Inconsistent
3Salesforce Users Corrupt
The Data
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Today’s Lesson
• Goal
• Understand Salesforce data management challenges
• Faculty
• Clive Bearman, Director of Marketing, Informatica Cloud
• Steven Mitchell, MDM Evangelist, Informatica Cloud
• Martyn Leman, MDM Consultant, Cloud Perspective Ltd.
• Lesson Plan
• Salesforce data management challenges
• Delivering a single view of the customer
• Demonstration
• Data management best practices
• Universal MDM from Informatica
• Q&A
• Homework assignment
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What’s wrongwith inconsistent
Salesforce data?
(Nothing, if you don’t want a lasting relationship.)
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Typical Salesforce Data Management Challenge
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4
1 2
3
LEAD
LEAD
LEAD
Content created• Manual data entry• Marketing activity• Automated integration
LEAD
Rampant duplication• Data invalid• Data inaccurate• Incomplete data
Business Impact• Inaccurate forecasts• Loss productivity• Adoption issues
Salesforce sprawl• Multiple instances• Different data definitions• Inconsistent processes
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Delivering a “Single View of the Customer”
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Data Quality
• Accurate data• Complete data• No duplicate data• Valid data
DataVisualization
• Hierarchy management• Multi-source data• Multi-dimension views
Data Consolidation
• Field standardization• Golden-master record • Multiple Salesforce orgs• Multiple geographies
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Powerful and Proven Data QualityInformatica Cloud MDM
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Cleanse
Relate
4
1
Enrich
2
3Consolidate
De-duplicationPoint-of-entry de-dupeFuzzy matching
Field standardizationEmail & address validation3rd party data augmentation
Golden masterSchedule/Event-based mergeMulti-org synchronization
Single customer viewMulti-source hierarchyMulti-dimension hierarchy
&
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Single View of the Customer in Action
Cleanse
Relate
4
1
Enrich
2
3Consolidate
LEAD
LEAD
LEAD
Content created• Manual data entry• Marketing activity• Automated integration
LEAD
Established uniqueness• Validate data• Add missing data• Complete data
Use the view• Increase revenue• Better customer service• Reduce business risk
Improved data quality• Build single view• Construct hierarchy• Synchronize data
LEAD
&
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DemonstrationSteven Mitchell
MDM Evangelist, Informatica Cloud
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Please Face Forward for the Demonstration
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• Standardization
• De-duplication
• Securing point of entry
• Consolidation
• Hierarchies
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Data Management Best PracticesMartyn LemanMDM Consultant, Cloud Perspective Ltd
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Cloud Perspective
Informatica Cloud Certified Partner
Salesforce.com Cloud Alliance Partner
Salesforce.com ISV Partner
Data is our passion and we deliver:
• Cloud MDM (Master Data Management)
• Data Migration
• Data Integration
• Training / On-Boarding
We have delivered, or been influential in, all major Informatica Cloud MDM implementations World-Wide
© Cloud Perspective 2013
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Tried and Tested Methods
© Cloud Perspective 2013
Plan Analyze Design and Build
Validate and Deploy
Ensure Ongoing Success
Establish Scope
Project Plan
DQ Data Quality Resolutions
Technical Workshop Require-
ments Sign-off Document
and ScopeDesign Sign-off
Document Use & Test Cases
Solution Build
Manage Data
Test Solution
Iterative Reviews Project
Sign-offKnowledge
Transfer
Project ClosureAddress IssuesCollect lessons
learned & Feedback
Transition to Support
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DQ – Data Salvation
© Cloud Perspective 2013
Data Salvation
Salesforce Reporting
Segment Analysis
Educate
The Implementer
The Customer
The Process
Data Salvation Analysis
Client Review
Install and
Config
Synch Accounts
Dupe Check
Client Review
Fine Tune Results
Client Review Go Live
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Data Analysis
Before starting any initiative• Thoroughly understand your data.
The better the data quality • The better the results will be all round.
In addition, we help you understand your data and identify areas for improvement.
Typical areas for analysis • Completeness and consistency of addresses, including • Country, State/Province, Phone numbers, Email
addresses.
Patterns of data • Recurring account names (e.g. Days Inn Hotel, Burger
King)
Best fit data for matching and duplicate checking
• How are duplicates identified? • Which fields inform the process?
© Cloud Perspective 2013
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Deployment Success - Example
11/04/2023 © Cloud Perspective 2013Page 19
Data Salvation analysis identifies the holes in the data
A 2nd run after enrichment shows that the holes have been plugged!
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Performance Tuning & Segment Analysis
© Cloud Perspective 2013
• Cloud Perspective offers optimization for Cloud MDM
• The “Segment” in Cloud MDM is a field used for segmenting records.
• It determines which records will be compared for fuzzy matching
• Reduces the total number of records being compared and ensures that Salesforce.com Governor limits are respected.
• Speeds up processing
• Data Analysis helps us to identify
• The best source fields to use to build the segment.
• The batch acceleration level required to get optimum performance.
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Cloud MDM Examples
• Premier League British soccer team
• Multiple sources including, season ticket, regular ticketing, club shop etc., in built duplication
• Allergan, Inc.
• Multi-specialty healthcare
• Hybrid, hub and spoke solution, central repository, single view of the customer in Salesforce
• Interactive Data Corp
• Financial services
• New Salesforce implementation
• Multiple sources including flat file
• Known data issues21
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Cloud MDM Multidomain MDM
Cloud MDM and Multidomain MDM
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Cloud-based multitenant SaaS MDM application optimized specifically for Salesforce
CloudMDM
MultidomainMDM
Generic MDM application to reconcile multidomain master data across all systems
• Resides within Salesforce
• Multitenant architecture (Force.com)
• Consolidates data within Salesforce
• Multidomain data model
• Operational and Analytical use
• On-premise / hosted deployment
Sample Customers
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• Consistent customer and relationship data across Salesforce and Enterprise
• Faster data synch from Cloud MDM to Multidomain MDM
• Standardized customer data from Cloud MDM fed into Multidomain MDM
• Fewer duplicates passed on to Multidomain MDM
• View product hierarchies, sales territory hierarchies, sphere-of-influence relationships from Multidomain MDM within Salesforce
Universal MDM BenefitsInformatica Cloud MDM to Universal MDM
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MultidomainMDM
CloudMDM
Third Party DataApplications
Multidomain
HCP/ HCO
Employee
Location
Product Item
BusinessIntelligence
Universal MDM
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Questions and Answers
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Homework Assignment
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1
2
3
Read MDM “Best Practice Guide”InformaticaCloud.com/summerschoolguide
Get social & tell a friendFollow @cloudmdm on Twitter
Come to the final lessonThursday August 15th 10:00 am PST “Working from the Beach” Mobilizing Salesforce Processes for the Smart Phone Generation”
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Cleanse1
De-duplicationPoint-of-Entry de-dupe
Fuzzy Matching
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Enrich2
Field standardization
Email & address validation
3rd party data augmentation
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Consolidate3
Golden master record
Scheduled & event-based merging
Multi-org synchronization
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Relate4
Single customer view
Multi-source hierarchy
Multi-dimension hierarchy
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Contact Cloud Perspective at:Cloud Perspective LimitedWigan Investment CentreWaterside DriveWiganWN3 5BA
www.cloudperspective.co.uk
Email: [email protected] : +44 1942 705259
© Cloud Perspective 2013