KU Big Data Workshop
8:30 a.m.–Noon, February 3, 10 & 17, 2017
KU Edwards Campus, 12600 Quivira Rd., Overland Park, Kan.
Following the first ever KU Big Data Symposium hosted at the KU Edwards Campus in August 2015, many individuals and organizations in the metro asked KU to develop more programming in this growing field. In response to these Kansas City workforce development needs, more Big Data programming from KU is coming to the metro area.
In February 2017, KUPCE is offering the three-part Big Data for Managers and Decision Makers workshop, designed for mid-level managers with little-to-no data science expertise. You'll learn the basics of Big Data in order to make key organizational decisions, assess whether you need a data management team—and, if you do, how get the most out of it—and much more.
Sign up to be notified as soon as event dates are set and registration opens, and check back to this website for new information about additional Big Data programming.
The Big Data for Managers and Decision Makers workshop will consist of three half-day sessions held at the KU Edwards Campus in Kansas City. Topics covered over the course of the three sessions include:
Day One—Friday, February 3
- Internal Volume Chain: understanding the data you might already have.
- Data Primer + Vision: opportunities of a more complete cross-organizational data set.
- More "Open" Data: a tool to drive internal innovation.
- Breaking down silos and bringing together entities.
Big Data Technological Landscape
- Understanding key technical concepts of Big Data and what makes it different.
- Big Data jargon and terminology.
- Current trends in commercialization of Big Data.
- Ecosystem Essentials: deciphering technologies and vendors, value of distributed computing paradigms, technology stacks, and selecting the right technology.
- Transactional versus analytical systems and their trade-offs.
Day Two—Friday, February 10
Intersection of Data Science and Big Data
- The data science lifecycle.
- Vertical case studies in business outcomes.
- Hypothesis testing and iterative exploration with Big Data.
- Signal detection with unstructured data sets.
- Monetizing data: zero to insights.
Constraints and Limitations of Big Data
- Pitfalls of analytics and Big Data.
- Challenges and Barriers: technical and adaptive.
Day Three—Friday, February 17
Big Data Resources and HR
- Building an internal team for data needs.
- How to Hire: skill sets based on level and needs.
- Who are regional leaders in Big Data and what's missing?
- How to make data science teams successful.
New Directions and Opportunities for Innovation
- New business opportunities.
- Leveraging Big Data.
- Leadership development.
- Innovation Lab: how to take a problem, solve it, and push that solution up within the organization.
Please join us!
Are you interested in learning more about our future Big Data programs, workshops and offerings? Are you an industry expert with an interest in sharing your expertise or serving on our advisory board? Click here and let us know!
Please contact Justine Hamilton at email@example.com, or call 913-897-8718.
Sponsorships for this event are available. Please contact Justine Hamilton for more information.