Cesim Analytics
Marketing Analytics Simulation
Cesim Marketing enables participants to develop analytical approach for strategic business decision making.
Data Science and Analytics are used inherently by most of the companies to make business strategy decisions. 70% of the companies worldwide are tracking data efficiently and making operational decisions based on it to optimize risks and cost. The simulation Cesim – Data Science & Analytics enables participants to use analytical tools and techniques to obtain insights from the data for day-to-day business decision making.
The participants will learn the application of data analytics on:
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The Data Science & Analytics game consists of multiple customer segments in two market areas and a maximum of six different products with varying features that can be offered to the markets simultaneously. In order to encourage unique strategy creation and execution, participants start their companies fresh without any operations history.
Participants are provided with a market data set that allows them to use different analytical tools and techniques to get insights and interpret different scenarios as well as analyse the outcomes of their decisions and projections. In addition, the simulation generates a range of reports that will help the teams to analyse and benchmark their own performance against their competitors.
A significant part of the decision-making challenge is to use the right analytical techniques to obtain insights and interpret data to make decisions regarding actively managing the product portfolio, pricing, promotion, and channel selection based on the segments’ preferences. In addition, teams manage the after-sales and research and development decisions.
The Data Science & Analytics simulation covers analytical decision making on topics including product life cycle management, product mix management, market segmentation, positioning, distribution channel investments, advertising budget allocation, after sales services, pricing, sales forecasting, marketing research, competitor analysis, research and development, revenue and margin management and overall profitability.
The analytical techniques which can be applied while using the simulation includes Classification techniques - cluster analysis/k-means/x-means/K-NN, Factor analysis – Principal Component Analysis, Regression – Linear & Discriminant, Time Series Analysis, Conjoint Analysis, Marketing Mix Modelling, Optimisation & Goal Seek.
SPSS, RapidMiner, R, Python, and Excel can be used by the participants to obtain insights from the data set. The decisions then can be made in simulation which will simulate the environment and produce the results.
The essence of Cesim Data Science & Analytics is to mirror a rapidly changing marketplace that is driven by short product life cycles and innovation; where constant attention to data-driven decision making, core competencies, timely product development, segmentation, positioning, and marketing communications are the keys to success.
As an outcome of the simulation game, participants will fully comprehend the different parts of the data-driven decision-making process, their relationship with each other, and their impact on the company’s overall results. In addition, participants will gain invaluable experience in teamwork and problem solving.
Bengaluru Office
#88, Borewell Road, Whitefield,
Bengaluru - 560067,
Karnataka
Delhi Office
ABL Workspace, 68,
Okhla Phase III,
Okhla Industrial Estate,
Delhi - 110020
Abdul Bazi: (+91) 940908 6581
Ram BR: (+91) 900800 0789
Varun Patil: (+91) 98509 77317
Business Basics
Ethical Dilemma
Accounting
Breakeven Point
Financial Analysis
Capital Budgeting
Investment Portfolio Management
Ordering
Logistics
Value Chain
Decarbonization (ESG)
Pricing
Promotion
Positioning & Game Theory
Sales
Product & Consumer Behaviour
Communication & Leadership
Negotiation
Change management
Cesim provides a broad portfolio of easy-to-use business simulations for educational institutions and corporations. As a leading education technology company we offer customizable, flexible, web-based simulations, compatible with all devices and operating systems. Come discover why over 1000 higher education institutions worldwide are currently using our simulations.
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