1. Data Management Program Introduction
11/28/2017
Data Management Program Introduction
CIO Council
December 19, 2016

2. Data Management Program Overview
Program Vision
To harness the significant value of Harvard’s data assets:
We strive to reduce costs and enable improved decision-making for our staff, faculty, and students through the effective use of data management services.

3. Data Management Business Case
From To
Data is hard to access
Distributed data hidden in silos
Disconnected data stores and reporting tools across schools and departments
Results in limited ability to discover and reuse data assets
Data Access Tools & Solutions
Common, easy-to-use tools and solutions for reporting and analysis
Easier access to a wider variety of standard data and reports
Improved ability to share data between users and schools

4. Data Management Business Case
From To
Data is difficult to understand
Lack of standard business definitions for core university data such as name, position, invoice
Manual processes and local knowledge retention
Results in multiple stakeholders reaching different answers to the same question
University-wide Data Glossary
Intuitive glossary of common business data improves sharing and collaboration
Single repository defines and explains business attributes, reports, analyses, data API’s, lineage, and other shared data repositories
Workflows enable approvals of definitions by authorized business data owners

5. Data Management Business Case
From To
Data is expensive to exchange
Point-to-point solutions for individualized, one-off needs
Duplicated effort to rebuild integration that already exists
Results in too much time and money spent
Data Exchange Architecture
More efficient integration framework that improves data exchange between systems
Common University library of reusable data services
Reduced cost and faster delivery for new and modified applications

6. Data Management Program Approach
Multi-year program with the following 3 primary workstreams:
Data Access Tools & Solutions
Provide a portfolio of easy-to-use tools for reporting and analytics
Build a single-point-of-entry portal to simplify discovering reports and data services
Train the community of users to leverage these tools
University-wide Data Glossary
Establish an intuitive glossary of common business data definitions
Facilitate processes to enable data definition approvals
Create a central repository where all departments and schools can collaborate via better understanding of our data assets
Data Exchange Architecture
Develop an integration framework that:
Improves data exchange between systems
Enables self-service for departments and schools, and
Reduces costs and time-to-G-o-Live for new projects and applications leveraging administrative data

7. Proposed Program Work FY18 FY19 FY20 FY21 FY22
Data Access Tools & Solutions
University-wide Data Glossary
Data Exchange Architecture
Logical Data Warehouse
Cloud Optimization
Qlik/OBI Platforms
Advanced Analytics Tools
Reporting/Analytics Training, Support, CoP
Data Portal
Platform Inventory
Rationalization
BG Platform
Access Auth Framework
Data Asset Library & Stewardship
Glossary Inventory
Glossary Expansion
DEx Platform
DEx Center of Enablement
Core Data Services
Tech Debt Inventory
Retro-fitting
LDW Exemplar
LDW Planning
Data Lake Implementation
IDR Implementation
Cloud Migration
Cloud Optimization
Operational Standardization

8. Data Management Program Implementation Options
Option 1: Does not address the Vision
Maintain current technologies and systems – no investment
Option 2: Supports the Vision  
Implement the foundation – leave adoption to the prioritization of operational units
Option 3: Achieves the Vision  
Strategic transformation to correct the complexity that exists today
Benefits
Least disruptive approach
No new capital investment required
Reduces the level of duplicative and redundant efforts – stops the bleeding
Improves operational services
Delivers immediate business value
Delivers long-term solutions that can mature with University needs
Simplifies the ability for people and systems to get the data they need
Key Features
Continuation of disconnected, overly-complex data infrastructure
Schools/depts. continue to invest in one-off solutions
Delivers centralized data building blocks
Establishes standards for data integration and documentation
Provides option for organizations to leverage platforms and services
Delivers all centralized data building blocks by partnering with strategic projects
Addresses the most immediate needs, while proactively planning for innovation
Delivers a sub-set of the most requested enterprise-level data services
Issues/Risks
Increasingly unsustainable operations
Inability to meet stakeholder needs
Serves as another interim solution, addressing symptoms, not causes
Requires identifying strategic partners willing to adopt and prioritize data management without program funding
Longer-term investment
Major transition for all schools and departments from passive to active data management

9. Recommendations
Approve and fund Option 3, implementing stage-gate funding to evaluate success at set intervals in the program and release additional funds as further planning is completed
Separate operational teams and activities from the strategic program team to optimize delivery of both existing and new services
Deliver on the data building blocks iteratively by partnering with strategic projects to best understand how stakeholders want to leverage our platforms and services
Work with the schools and departments to address process changes required for the transformation to be fully effective