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Data @ W&M

W&M aspires for data excellence in the administration and in support of teaching, learning, research, community action and university operations.

University Data

The Fact Books are based on census data that is created every fall and spring and is the basis for regulatory reporting by Institutional Research. Research and explore W&M-detailed data in interactive Fact Books. Access is granted to all W&M staff and faculty via the data discovery tool Qlik (pronounced "Click").

Faculty/Staff Access to Interactive Fact Book Data

University Data Fact Book Tutorial Factbook How To Video (3min)

Summary Metrics

Student, faculty and staff summary metrics and data snapshots are available below for download in the following static PDFs. Open to the public. 

Data mid-page

Provost Data Trends

Trends pertaining to academic enrollment at William & Mary are available on the Provost website. 

View Provost Data Trends

Diversity Trends

Learn more about the five dimensions of Diversity (Recruitment & Retention; Campus Climate; Academic Excellence; Organizational Culture & Accountability; and Community Engagement, Innovation & Reconciliation).

Find DEI Data

Data Self-Service

W&M faculty and staff have access to operational data used to manage the university through the Qlik tool. The data is sourced from Banner and major W&M operational systems. Users can search and filter data to generate an endless variety of result sets to quickly identify trends, anomalies, and aggregations vital to their day-to-day decisions. Qlik Sense supports an assortment of visualizations, including tables, bar charts, pivot tables, line charts, gauges, maps, KPIs, and many more!

Learn how to find data

Looking for data to answer a question?

A library of governed data exists and continues to evolve and expand. The Qlik App Tracker contains a list of Qlik Apps currently available to members of the W&M user community. Qlik App data is subject to W&M’s Acceptable Use Policy and access to a particular App is governed by Application and Data Steward(s).

Find my data

Looking for quick Qlik tool introduction and training?
Qlik Training
Data Office Hours

Looking for data guidance? Need Qlik tips? Not sure where to start?

The CDO team members (Institutional Research and Business Intelligence) hold office hours bi-weekly on Wednesday from 10am – 11am on Zoom. Please drop-in and let us learn about your data challenges and work together to answer questions and make getting the right data to answer your business questions easier. 

Register for Data Office Hours

Data Governance Advisory Committee (DGAC)

The DGAC oversees activities and investments to improve organizational decision-making and excellence through a laser focus on data fluency, governance and management across the entire university. Our goal is to manage data as an asset in a way that empowers W&M faculty and staff to use data in increasingly effective, efficient and ethical ways.


  • The Data Objective

    To improve organizational decision-making and excellence through a laser focus on data literacy, governance and management across the university. To manage data as an asset in a way that empowers faculty and staff to use data in increasingly effective, efficient and ethical ways.

  • The Approach

    Join together stakeholders from diverse data silos in an ongoing process to ensure high quality data is available to make data-informed decisions for the entire W&M community, at all levels. The W&M Data Team operationalizes data self-service, enables advanced data technologies and capabilities and shares learnings.

  • Benefits

    An empowered community who is comfortable asking data-related questions because they know what data means, how to access it, and how it should be used.

Office of the CDO

table with three rows
Data Principles

A set of values and philosophical beliefs that W&M will adopt to frame the process, policy and standards to govern data. Creating a clear understanding of W&M people data (Faculty, Staff, Students) will be our starting focus. The DG working teams will solve existing data challenges, support key initiatives, define data standards and recommend best usage.

1)     Data is a sustainable W&M asset.

2)     Data quality and informed usage is the responsibility of W&M Faculty, Staff and Students.

3)     Data is secured and used in legal and ethical ways; privacy is respected.

4)     Data is defined collaboratively by data stewards/owners with best usage.

5)     Data is timely and is readily available.

6)     Data flow is actively managed and communicated.

7)     Data curiosity and skills are everyone's responsibility; W&M supports data learning.

8)     Data is understood and used in context.

9)     Decisions are made on quality data. (Accurate, Completeness, Consistency, Integrity, Timeliness, Reasonability)

10)  W&M community has shared quality data to do their best work.

Data Standards

A Data Standard clarifies how data should be handled, by whom and with what level of auditing and oversight. The Data Standards generally align with a W&M Policy and are implemented through the local business processes. The documents go through a process of draft, review and approved.

W&M Data Governance Advisory Council (DGAC)

Making sure that data is properly managed.

  • Enable an organization to manage its data as an asset.
  • Define, approve, communicate implement principles,
    policies, procedures, metrics, tools and responsibilities
    for data management.
  • Monitor and guide policy compliance, data usage
    and management activities.
  •  Create a W&M data culture that is highly skilled
    in using data in an ethical manner.

The Data Governance Advisory Council (DGAC) is part of the W&M IT Governance Structure

*Acting role

dgac members
First Last Function
Sallie Marchello Registrar (Co-chair)
Barbara Forth Chief Data Officer (Co-chair)
Aimee Fitzgerald* University Advancement
Bernie Kulas Research
Debbie Howe* Human Resources
Jacob Long Finance
Ben Boone School of A&S
Martha Westcoat-Andes Provost
Pam Eddy Provost
Timothy Wolfe Admissions
Ed Aractingi Information Technology
Data Management 

Managing data to achieve goals.

Data Management Knowledge Areas:

  • Data Architecture/Design
  • Storage
  • Security
  • Integration
  • Reference & Master
  • DW & Business Intelligence
  • Metadata
  • Quality
  • Document and Content Management

Data Governance overview (pdf)