Trillium Software enables you to deliver a complete understanding of total customer value and total household value across leads, contacts, accounts, products, and divisions through its robust data quality plug-in for Microsoft Dynamics CRM.
3. ..with deep data quality expertise
• CRM, CDI & MDM
• Single Customer view
• Vertical applications
• Business Intelligence
About Trillium Software
Best in class, proven technology leader…
• Gartner
• 2012 Magic Quadrant: Leader
• Rated as leader for over 10 years
• Forrester
• Forrester Wave – Leader
• Current Analysis: Very threatening to
competition
• Bloor Research (UK):
• Best in Class
Trillium is a global provider and innovator of data quality solutions
• A business unit of Harte-Hanks (HHS-NYSE) with $1+B revenue & 6000 employees worldwide
• Over 2 decades in business with specific focus on data quality solutions market
• Solution platform (technology + domain expertise) addresses business critical data quality
requirements
• Our objective - “To enable our clients to develop data refinement programs that support
on-going improvements in business performance”
5. Trillium Software Traditional
Value Propositions and Markets
CRM; Customer Information Mgt. Systems
ERP & Supply Chain
Sales and Marketing Applications
Business Intelligence and Data Warehousing
Multi-Domain Master Data Management
e-commerce and web services apps
Targeted Vertical Solutions
Wealth Management
Physician Spend
Fraud Detection
Anti-money Laundering
Regulatory Data Assurance
FATCA, Basel, Solvency,
Claims Data Management
CCAR Stress Testing
Enterprise Data Quality Solutions for:
6. Data Quality Value to CRM
Incorporating Data Quality Programs with CRM:
Deliver a complete understanding of total customer value and total
household value across accounts, products, and divisions
Reduce risks and errors in data consolidation and data migration for a CRM
package through data discovery and integrated cleansing
Resolve customer data anomalies before they enter operational systems and
impact relationship management decisions
Form the basis for accurate analytics, reporting, forecasting, profiling,
scoring, segmenting, and targeting
Enforce your definition of customer, prospect, household, contact, etc. and
how that information is to be recorded and reflected within your organization,
sales, marketing services, etc.
7. Multiple
Names
Mixed
Business and
Personal Names
Lack of
Standardization
Misfielded
Information
Free-format
Text
Missing
DataUnique Customer View
Complete View of
Customer
Many companies
underestimate
how many ways
unprotected data
is devaluated.
Classic Data Quality Issues
9. Why Tackle Data Quality Along With CRM?
Because Data Quality degrades due to normal,
everyday CRM business processes
Real-time data entry by diverse sets of users
Different departments and channels have different data
needs and standards
Integration with other applications and systems, e.g. ERP
Mergers/Acquisition require CRM integration
List imports/external data
Reference data feeds
10. Functional Example:
Jim R Peterson
Bainbridge Financial
750 6th Avenue, Suite 250
Manhattan, NY
jrpeterson@bainbridge.com
Contact
First M Last
Jim (James) R Peterson
Account
Bainbridge Financial
Address
750 Avenue of the America’s
Secondary Address
Suite 250
City, State Zip+4
New York, NY 10015-0012
E-mail Address
jrpeterson@bainbridge.com
Existing Contact
James Peterson
Bainbridge Financial
750 Avenue of the America’s
Manhattan, NY
Existing Lead
Jim Peterson
jrpeterson@bainbridge.com
Inbound Lead
Cleansed Lead
Lead to Leads Match
Lead to Contacts Match
11. Country Specific Examples
220+ Countries
Robust
Single-byte
43 Countries
Standard
Multi-byte
3 Countries
Robust
Double-byte
4 Countries
Basic
Single-byte
182 Countries
Ms Susan Peterson
61 railroad road
suite 61
hamilton,mass
Ms. Susan Peterson
Ste 61
61 Railroad Ave
South Hamilton, MA
01982-2218
Budi Agung
Panjang 28
Kedoya
Jakarta Barat 11560
Mr. Budi Agung
JL. PANJANG NO. 28
KEDOYA
JAKARTA BARAT
11560 INDONESIA
埼玉 さいたま 浦和区
常盤 1-9-20
スカイコート 405
田中 太郎
330-9586
埼玉県 さいたま市 浦和区
常盤 1-9-20
スカイコート 405号
田中 太郎
JAPAN
Dimitris Pavlopoulos
Stadiou 40
10564 Athens
Mr. Dimitris Pavlopoulos
Stadiou Street 40
105 64 ATHENS
GREECE
Input Input Input Input
Output Output Output Output
12. Data Quality Management
When & Where
BILLING
Data Quality Processes Applied to:
1. New CRM Implementations
• Data Migration and Conversions
• Initial Cleanse
2. Existing CRM Implementations with Data Challenges
• Data Assessments & Analysis
• Initial Cleanse
• Integrated within the CRM application
3. Integrated within the CRM Application
• DQ processes embedded as filters within batch and
real-time CRM processes
CUSTOMER
DATA
Dynamics
CRM
Cleanse &
Migrate
CUSTOMER
DATA
CUSTOMER
DATA
13. Data Quality Management
When, Where & Why
CUSTOMER
DATABASES
Before Conversion
CRM BILLING
SYSTEM
- Data Discovery
- Data Assessment
- Data Defined for Purposes
- Sales
- Marketing
- Service
- Business Rule Definition
- Source Mapping Defined
- Impact Analysis
During Conversion Post Conversion
- Data Migration
- Data Mapping
- Cleanse Sources
- Apply Standardization Rules
- Data Enrichment
- Match, Link & Deduplication
- Test, Measure & Confirm
- Establish Data Foundation
- Leverage Integrated DQ
- Integrated Real-time & Batch
- Cleansing
- Enrichment
- Matching/Deduplication
- Monitor & Measure Metrics
- Implement Stewardship function
- Establish Governance
Make CRM valuable to users by delivering information fit for purpose!!
14. Data Quality Implementation Stages
Profiling
Engagement
Identification
Data
Migration
• CRM Deployments
• Initial Conversions
• Instance Consolidation
Batch
Cleanse/MatchProfiling
Real-time
Data Quality
Data
Monitoring
Real-time
Cleansing
Matching
Deduplication
• DQ Plug-ins Integrated with CRM
• Real-time and Batch Processes
• Partner collaboration
• MDM & CDI Support
Iterate
• Assess, Scope and Prepare
• Initial Data Migration
• Data Quality Integration
• Business Rule Development
• Integrated DQ Processes
•Ongoing Data Quality Management
DQ is never a
one-time event
15. Trillium Software Solution for Dynamics CRM
What’s in the Box?
Global business rules for cleansing customer data
Global address validation
Advanced Fuzzy Matching to identify duplicates
For use with: accounts, leads, contacts, customer address
and custom entities
Real-time, “In-Page” cleansing & matching
Bulk processing facilities for larger volumes
Cleanse and Match on Import
Cleanse and Match within database
Cross Entity Matching Lead to Contact and Lead to Account
Auto Merging of “high” confidence matches
Data Quality Reporting and Metrics
Leverages Dynamics CRM’s:
Duplicate Detection Functionality and Screens
Merge Capability