Diving into Data and Forecasting
June 19th, 2018. PLEASE SIGN IN FOR THE RECORDING.
Presented By: Ric Kosiba, Vice President of the Decisions Group at Genesys
About the Webcast
Most companies use inefficient forecasting methods.
Structural limitations of planning spreadsheets restrict planners from using the most appropriate forecasting methods as well as prohibit selecting all of the items that are most important for accurate planning.
Join us we discuss:
- the data required to develop good forecasts
- metrics which are most important for accuracy (some are counter intuitive)
- best methods for forecasting time-series data
- the “ideal” mathematical forecasting process
About the Presenters
Ric Kosiba, Vice President, Workforce Systems, Genesys
Ric founded the company, Bay
Bridge Decision Technologies, in 2000 that was acquired by Genesys in 2016. Ric
has been involved in the call center industry 25+ years and still enjoys
working with clients and helping companies improve through math modeling. He
holds an M.S.C.E., B.S.C.E., and Ph.D. in Operations Research and Engineering
from Purdue University (Boiler Up!), and holds six contact center analytic
He is responsible for the
development and enhancement of our contact center capacity planning and
analysis product line. He thoroughly enjoys working with our brilliant
development and operations research team, which helped Decisions become
the leading U.S. supplier of long-term forecasting and planning