Launch Analytics Staff Consortium

• Erin Driver-Linn
• Dhairya Dalal, Victoria Liublinska, Ruth Loescher, Grit Pientka, Liam Schwartz, John Scanlon, Albert Wang, Leah Whitehouse, Julie Broad, Grace Goins, Clint Ficula, Kim Salley, Hadas Eidelman, Daniel Seaton, Dustin Tingley, Ana Bard, Mark Seibring, Jennie Staples, Molly Albrecht, Neel Chaudhury, Katie Garland, Daniel Herweg, Paul Meyers, Jonathan Paul, Alec Antell, Amanda McDonell, Beth O’Malley, Jennifer Robinson, Kwok Yu, Erica Bever, Mike Toon, Christian Wangia

Project Overview:
An initial group of individuals from eleven offices will pilot an Analytics Staff Consortium (ASC) for Harvard staff whose work involves analytics. ASC will be designed to (1) promote collaboration for a growing and large proportion of staff at a time when tools are improving rapidly and analytic expertise is critical for decision-making; (2) improve efficiency and quality of analytic functions; and (3) provide professional development opportunities.

Project Objectives:
(1) Develop and refine a “charge” for ASC;
(2) Identify members;
(3) Develop a listserv, a repository of best practices and examples, and a database of data sources, processes, and contact information;
(4) Organize “lightening rounds” to demonstrate the analytic work of different offices;
(5) Organize workshops and training for skills in high demand (likely candidates include “intro to R,” “data visualization,” and “storytelling for decision-makers”).
(6) Hold a retreat at the end of AY16-17 to determine next steps for ASC.

Expected Outcomes:
(1) A well-defined and functioning community of practice;
(2) Resources for staff who do analytic work.

Expected Impact:
Increased knowledge, skills, and collaborations across staff and ultimately increases in innovative analyses that improve academic administration, service delivery, and talent development.