EN
Business-analysis: Business Forecasting
Course audience:
- Analysts, heads of analytical business units
- Heads and managers of marketing, sales, finance, and sales departments
- Managers who would like to improve their decision-making skills based on information analysis
Key features of the course:
- The opportunity to comprehensively study business forecasting methods
- The opportunity to receive a set of tools that can be immediately implemented when solving your own business problems
- Get acquainted with data mining technology
- The opportunity to communicate with specialists in the field of business analysis and exchange experience with representatives of other companies
- Support in developing your own project
- Focus on business tasks and interpretation of analysis results
Course content:
- Methods of time series analysis: short-term forecasting /simple average, moving average and exponential smoothing models/, medium-term forecasting /seasonal exponential smoothing model, Brown and Holt models, additive and multiplicative Winters model, ARIMA models/, long-term forecasting /additive and multiplicative decomposition method, qualitative methods/
- Measurement of forecast error using SSE, MAE, MAPE, MPE, MaxAE, MaxAPE, R2, …
- Methods of forecasting analytics: linear regression /applied to stationary and dynamic data/
- Forecasting vs. Planning
- Time series analytics methods: seasonality and trend assessment methods, cross-correlation analysis, autocorrelation analysis, methods for studying forecasting model errors, methods for finding and replacing outliers in time series, methods for analyzing interventions
Upon completion of the course, the participant will be able to:
- Identify the necessary data for building forecasting models
- Build forecasts based on seasonality and trend determinations in the data
- Evaluate the quality of forecasts
- Quantitatively assess seasonality and trend
- Quantitatively assess the influence of factors on the forecasted value
- Forecast market capacity, market share
- Forecast sales by company, region, assortment
Training format:
- In online format for six days (09.30-13.00) or in offline format for three days (09.30-17.30); corporate training format is also possible
- Real examples/case studies of companies
- Personal consultations with the teacher
Software used:
- Microsoft Excel /with activated Data Analysis and Solution Search modules/
- IBM SPSS Statistics /or other analytical software/
For questions, please contact:
e-mail: info@analytical-boutique.com, tel.: +38 067 555 10 01
Course description and timing 'Business Analysis. Business Forecasting' (in .pdf format)
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