Business Analytics Wake Technical Community College Tanya Scott

Business Analytics Wake Technical Community College Tanya Scott, Director Dr. Manju Shah, Instructor Carol Mc. Collum, Wake County Public Library System/Student

What is the Business Analytics Program? • First and only Associate in Applied Science in Business Analytics in the nation. • Flexible course offerings: 100%, hybrid (online/seated), and 100% seated. Day and evening class meetings. • Fast track certificates and classes. • In demand skills with several high demand software and programming packages. • Lab facilities available equipped with software, virtual access to software, and weekly open lab sessions hosted by instructors.

What is the Business Analytics Program? • AAS in Business Analytics (67 credit hours) • Certificates (all 12 credit hours) – Business Intelligence – Business Analyst – Marketing Analytics – Logistics Analytics – Finance Analytics – Database Analytics

Fourth Semester Associate Degree BAS 221 * BAS 250 * BAS 270 * Elective 3 Associate Degree Third Semester BAS 150 * ECO 251 END 114 DBA 115 HUM 115 BAS 230 * or Elective 2 (choose one) LOG 215 * BUS 225 * Business Analyst Certificate BAS 230, BAS 221, BAS 250, BAS 270 Second Semester BAS 121 * * BAS 220 * MAT 152 DBA 110 CTS 130 Elective 1 (choose one) MKT 120 * LOG 110 * ACC 120 * Business Intelligence Certificate BAS 120, BAS 121, BAS 220, BAS 150 Database Analytics Certificate BAS 220, BAS 150, DBA 115 Finance Analytics Certificate BAS 120, ACC 120, BAS 121, BUS 225 Logistics Analytics Certificate BAS 120, LOG 110, BAS 121, LOG 215 First Semester BAS 120 * * BUS 110 * CIS 110 ENG 111 BUS 137 MAT 143 Marketing Analytics Certificate BAS 120, BUS 110, BAS 121, MKT 120 Certificates

Analytics Skills • • Curious Imaginative Methodical Skeptical • • Data driven Self-motivated Open-minded Analytical

What is Analytics? • Gathering and interpreting data and then making decisions based on that interpretation.

Gathering Data • What question do you want answered? • What kinds of data do you need (quantitative or qualitative) • How will you capture the data (observations, surveys, interviews, testing, passive capture, etc. ) • How will you record the data (spreadsheet, database, etc)

Interpreting Data • Typically we are trying to interpret information related to characteristics and behavior. – Characteristics (age, gender, employment status, educational level completed, etc. ) – Behavior (frequency, days, hours of attendance, queries, preferred media (book, e-book, audio, etc).

Making Decisions • Information guides decisions: – Peak times need more staff – Need more of a different kind of media (e. g. ; more ejournals). – What products are providing the most ‘bang for buck’; what products are too expensive in terms of per usage cost • Information confirms effectiveness of strategies – Changing operating hours increased attendance: – New selection of movies are being utilized – Providing online periodicals versus paper-based has increased viewership while reducing cost

Library Sciences and Analytics Shared Skills • • In-depth research ability Natural curiosity Data-driven Evidence based

Data Collection – ‘Then’ and ‘Now’ • Changes in our ability to collect data have improved from hand-methods of data collection to automated, sometimes passive, digital methods. (e. g. ; hand stamping versus scans).

Case Studies Library Journal: The Numbers Game, Data. Driven Libraries, May 23, 2014 http: //lj. libraryjournal. com/2014/05/managinglibraries/data-driven-libraries/#_

Topeka and Shawnee County Public Libraries, KS • Market population of 175, 000; one main branch and four bookmobiles. • Uses Market Segmentation: What interests and traits do library patrons share so they may be better served – Who uses the library, who doesn’t use the library – Questions assumptions – found rural population was taking out more books than videos which was contrary to commonly held assumptions. – Led to a better allocation of resources and improve services to those that already use the library

New York Public Library (NYPL) • Measure digital content usage to measure branding effectiveness – Tracks social media and other online media for mentions of NYPL & conducts sentiment analysis – Tracks actual attendance to Facebook ‘likes’ for that event

NY Queens Library • Benchmark performance metrics (program attendance and circulation) against other peer libraries • Measure impact/outputs of programs • Do after-school programs improve reading levels and grades?

Sacramento Public Library (SPL), CA, • Gathered data on current usage of library as well as how patrons would like to use the library – Results drove offering access to streaming media and support for wifi users • Infrastructure supports continuous data gathering

North Carolina’s Charlotte Mecklenburg Library (CML) • Use data to determine which programs are reaching the most people and have the biggest impact. • Tie programs to community need.

Other Benefits • Quantify successes; • Prove need for expansion and additional funding; • Budget analysis (where is money being most effectively used); • Innovative ideas for resource usage and availability.

“This workforce solution was funded by a grant awarded by the U. S. Department of Labor’s Employment and Training Administration. The solution was created by the grantee and does not necessarily reflect the official position of the U. S. Department of Labor. The Department of Labor makes no guarantees, warranties, or assurances of any kind, express or implied, with respect to such information, including any information on linked sites and including, but not limited to, accuracy of the information or its completeness, timeliness, usefulness, adequacy, continued availability, or ownership. ” Except where otherwise stated, this work by Wake Technical Community College Building Capacity in Business Analytics, a Department of Labor, TAACCCT funded project, is licensed under the Creative Commons Attribution 4. 0 International License. To view a copy of this license, visit http: //creativecommons. org/licenses/by/4. 0/