Constituent data is the lifeblood of the universities. A constituent can play a multiple of roles such as an applicant, student, faculty, alumni, an executive education student, a doctoral candidate, a staff, and a contractor. In today’s socially connected, in the cloud, and the Internet of Things (IoT) equipped world, a massive amount of data is generated for the constituents. This data stored on disparate systems across the university and across the campus, or across the globe, leads to a lack of a single and holistic view of the constituents. The Single Constituent View Repository (SCoRe) enables universities to consolidate constituent data to improve operational efficiencies, lower IT costs, expand student services, increase fundraising, and enhance overall “university-for-life” experience for the students.

1. 1
An Introduction for the IT Executives
Higher Education Single Constituent View Repository
(SCoRe)
Hemant Verma
MDM, DW, BI Architect
Cube Intelligence Corp.

2. 2
At Higher Education, Constituents Play Many Roles
Constituents
Student Faculty Alumni
Executive
Education
Doctoral
Cross
RegistrantStaff
Applicant

3. Phone
Email Language
Education RoleEmployment
Citizenship
Name &
Address
Social
Network
Constituents Share Common Information Elements
Constituents Common Information
3

4. Challenges - Common Information Comes from Multiple Sources
Staff
4
Student Information
System (SIS)
Cynthia David
1255 Commonwealth Ave
Boston, MA
cdavid@bu.edu
617-432-8970
Faculty
Cynthia J Rhodes
265 Hemlock St Arlington
MA 02474
Faculty – Management
Boston University
781-552-1567
cjrhodes@bu.edu
CloudCynthia Rhodes
Main st
MA
Alumni
Cynthia john Rhodes
Arlington, MA 02474
VP Sales
crhodes@globaltrade.com
Cynthia Rhodes
Main st.
MA
Cynthia J Rhodes
265 Hemlock St Arlington
MA 02474
Faculty – Management
Boston University
781-552-1567
cjrhodes@bu.edu
• Who is Cynthia?
• Which is the right information and
which system has it?
• What is her current mailing address?
• Is her information complete, consistent,
accurate, and secured?
• Do FERPA /other regulations apply to
her?

5. Problem - Incomplete, Inaccurate and Duplicate Information
5
X Lack of a single view of the constituents
X Wrong target, wrong message, wrong time!
X Unqualified, unrestrained contacts with alumni – unpleasant funding experience
X Numerous unwanted communication channels with students, donors, and employers – not the
best “university for life” experience
X Data cleansing, data standardization silos – raising overall IT cost
X Challenges grow exponentially with the growth of data
X Difficult to comply with regulations and privacy requirements - FERPA
Consequences

6. Constituent
ID
Electronic
Address
Constituent
Telecom
Education
Constituent
Role
Constituent
Name
LanguageCitizenship
Social
Network
Volunteer Employment
Constituent
Address
Financial Legal
Constituent
Solution - Single Constituent View Repository (SCoRe)

7. SCoRe Overview – An MDM Solution
7
Master Data Management
Extract Data
From Source
Systems
Source Systems
SIS
Staff
Cloud System
Faculty
Alumni
Load
Data Integration
Data
Cleansing
Data
Standardization
Data
Transformation
Data
Enrichment
Data
Match
Data
Merge
Data
ConsolidateSingle
Constituent
View Repository
Staging Area
Golden Record

8. Land Stage Load Tokenize Match
Consolidate
Publish
Cleansing Mappings
Delta
Data Standardization
• Address Verification
• Address Decomposition
• Gender Description
• Text Casing
• White Space Compression
• Other Noise Cancellation
Staging
Tables
Base
Objects &
Lookup
RAW Reject
Load Mappings
• Survivorship
• Trust Settings
• Validation Rules
Merge Rules
Match KeyTokenization
- Auto Merge
- Unmerge
- Manual
Merge
Match
Merge
Golder Record
Source
Systems
Match Rules
Informatica Data Quality
Load Insert
1. Calculate Trust For Cell Data
2. Run Validation Rules
3. Perform Foreign Key Lookups
4. Create A ROWID_OBJECT Value
5. Insert The Record Into The Target Base
Object And Other Tables
SCoRe Implementation with Informatica Technology
Validation
History Lineage
Match Rules
Xref
Trust Score
Informatica MDM Hub

9.  A consolidated, 360o and single view of constituents
 Right target, right message, right time!
 Personal, precise contacts with alumni – pleasant funding experience
 Improved marketing campaign effectiveness with students and donors –
achieve best “university for life” experience
 Enterprise data governance and data stewardship for data cleansing, and
data standardization efforts – substantially lower IT cost
 System designed to scale with the exponential growth of data
 Simplified enterprise database structure – party data model
Benefits - Single Constituent View Repository (SCoRe)
9

10. 10
 Uniquely identify constituents with their roles such as faculty, staff, student
researcher, and executive students
 Match core person data such as name and address from all of the
university's disparate data sources
 Cleanse, match and validate constituent's address with US postal service
 Enable single sign-on on various campus systems
 Implement data controls policies to track data history and data lineage
Benefits - Single Constituent View Repository (SCoRe)
Continue…..

11. 11
Data Management Market Survey
Unlock and Score the
potential!
89%C-Suits
Believe inaccurate data prohibits customer
service
Experian 2018 Global Data Management Report
33%Customer & Prospect
data is inaccurate
38%C-Suits
Want to implement MDM in 2018
Was 19% in 2017
50%Companies
Say increasing customer revenue, improving
customer retention and loyalty are the primary
drivers of their Single Customer View initiatives
5%Companies
Only
Have Single Customer View

12. 12
Some Other Considerations for Having SCoRe
General Data Protection Regulation
Unlock and Score the
potential!
94% C-Suites agree that the GDPR legislation
presents an opportunity to refine their data
management strategies
Big Data
Ever Increasing
Data Volume
IoT
CloudGDPR
Governance, Risk &
Compliance (GRC)
Big Data a Boon for MDM Market
• transparencymarketresearch.com
• statista.com
2022: $70b 2027: $103b
Success of IoT Revolution Hinges on
MDM
• scalarmarketresearch.com
• Forbes.com
• www.computerworld.com/article/3044535
2016: $157b 2020: $457b
Rising cloud data needs Cloud
MDM• Traceability – Data Changes - MDM History
• Accountability – Contributed - MDM Data Lineage
(Cross Reference)
Safeguard Personal Data Of EU Citizens (Constituents)
2016: $23b 2022: $50b CAGR: 10%
Leading Factors: Big Data, IoT
Zion Research
2017: $30b 2022: $90b CAGR 23%
Marketsandmarkets.com
2016: 16Zb 2025: 163Zb
1 Zettabyte = 1 trillion GB
IDC Whitepaper: Data Age 2025: The Evolution of
Data to Life-Critical

13. 13
Cube Intelligence Corporation Appreciates Your
Time!
info@cubeic.com
(617) 275 - 8254
www.cubeic.com
Chief MDM Architect
Hemant Verma
Thank You!