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Business Decision Making using
Data Analytics
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Business Decision Making using Data Analytics

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Topics

  • Introduction
  • Key Take Away
  • Pedagogy
  • Who Must Attend
  • Benefits
  • Date and Venue
  • Course Content
  • Faculty Profile
  • Workshop Fees
  • Registration
  • Contact Us
  • Brochure

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Introduction:

Decision making approaches in businesses have been changing fast over the past decade. Experience and intuition are no longer acceptable option in the highly competitive market environment.

Most of the managers have realized the need of analytical approach, which are data-driven and facts-based decision making. Thomas Davenport, a widely acclaimed author and speaker on information and knowledge management, contends that in a complex and dynamic world, Analytics is the CEO's best friend.

Data analytics turns data into information, and then into knowledge. Knowledge is power, and companies using it wisely could bring competitive advantage over their competitors.

The amount of information available to managers and researchers has exploded in recent years, and it will continue to do so in the future. Until recently, much information just disappeared. It either was not collected, or was discarded, often because there was no cost effective way of keeping it. Today this information is collected and stored in data warehouses, and it is available to be "mined" for future analysis and better decision-making. Sometimes, the information can be analyzed and understood with simple analytical tools. However, in other times, turning it into business intelligence requires more complex approaches.

This workshop introduces decision makers and managers to the fundamental of statistical methods underlying the analysis and ultimately the understanding of information in large databases. As the workshop is "hands on", participants leave with tools and "know-how" that can be immediately applied to improve their business decision-making.

Key Take aways:

Participants will acquire the skills to:

  • Determine which statistical methods best explain relationships between variables.
  • Decide when and how to apply a particular statistical method.
  • How to use SPSS and Excel software packages to analyze data.
  • How to convert data into information for competitive advantage.
  • Understand what the numbers in the output mean and how to interpret them.
  • Write a report using the results of the data analysis for decision makers

PEDAGOGY:

This workshop focuses on how to use statistical analysis to examine, interpret and understand large amounts of data. In addition, it covers how to use the information in business decision making. The objective is to describe a number of different data analysis methods with examples and how they may be applied to solve and explain management decision problems. A "hand-on" approach is applied using the SPSS and Excel software.

Who must attend?

  • Decision makers who are extensive users of business information/research and /or, would like to develop processes within their organization that provide relevant marketing and financial analysis / research for decision making are encouraged to participate.
  • All senior level research and analytics managers who are entrusted in the organization with the responsibility of ensuring quality business information management and analysis for the purpose of actively supporting business decision making.
  • Organizations in the FMCG, consumer durables, consumer financial services, insurance, banking, retailing, etc. will find this program.

Benefits:

Participants will benefit from this program if they encounter some or any of the following situation(s) at work:

  • If you are interested in evaluating risks using simulations in financial and insurance applications.
  • If you are concerned about how to use customer and competitor information to effectively drive your marketing initiatives and would like to evolve an internal process within your organization to do so.
  • If you are interested in issues such as,
    • identifying customer segments from data
    • measuring effectiveness of your marketing initiatives,
    • perceptions of consumers regarding product offerings
    • perceptions of consumers regarding product offerings
    • optimizing communications budget
  • Estimating / forecasting impacts of alternative marketing plans
  • Improve you current data analytics approach aligned with business needs.
  • If you want to develop/refresh your understanding about some relevant data analytic tools and their applications.

Dates & Venues

Date City Venue
09th - 10th September 2011 New Delhi TBD
14th - 15th October 2011 Mumbai TBD
24th - 25th September 2011 Online - Over Internet Live Virtual Class Room

Timings: 9:15 AM to 5:30 PM

Course Contents:

Day 1:

  • Data Analytics - Overview - What and Why?
  • An overview of basic statistical tools useful for business
  • Basics of SPSS
  • Summarization of Data Using Tables, Graphs and Charts
  • Descriptive Measures, Standard Probability Distributions
  • Confidence Intervals
  • Testing of Statistical Hypothesis
  • Regression Analysis
  • Factor Analysis
  • Cluster Analysis
  • Discriminant Analysis
  • ANOVA/MANOVA

Day 2:

  • Forecasting Techniques
  • Advanced EXCEL functions for Data Analytics
    • Sum Functions
    • Count Functions
    • Statistical Functions
    • Pivot Tables
  • Decisions under uncertainty using Monte Carlo simulation
  • This is a hand-on workshop, which is highly interactive, where the participants will be working on solving below cases using the above learned concepts:

    Case study #1: Consumer Shopping Behavior Analysis - Retail Industry
    A grocery store chain surveyed a set of customers concerning their purchasing habits. Given the survey results and how much each customer spent in the previous month, the store wants to see if the frequency with which customers shop is related to the amount they spend in a month, controlling for the gender of the customer.

    Case study #2: Demand Forecasting - Automobile Industry.
    An industry analyst would like to predict automobile sales from a set of predictors. However, many of the predictors are correlated, and the analyst fears that this might adversely affect her results. This case study will focus on identifying manageable subset of the predictors.

    Case Study #3: Competitive Analysis - Automobile Industry
    A car manufacturer wants to appraise the current market to determine the likely competition for its vehicles.

    Case study #4: Retail Loan default prediction - Banking Industry
    A loan officer at a bank wants to identify characteristics that are indicative of people who are likely to default on loans, and then use it to identify credit risk of out-standing loan portfolio.

    Case study #5: Product features vs. Sales - Automobile Industry.
    An automotive industry group keeps track of the sales for a variety of personal motor vehicles. In an effort to be able to identify over- and underperforming models, you want to establish a relationship between vehicle sales and vehicle characteristics.

    Case study #6: Predicting optimal subscribers - Telecom Industry
    A broadband company wants to forecast the no of subscribers for optimum use of bandwidth.

    Case study #7: New Product launch - Profitability Forecasting
    A leading FMCG company is planning to introduce a new product. The marketing manager in-charge wants to estimate first year profit.

Faculty Profile:

Prof. Saurabh Agarwal, B. Tech (IIT Kanpur), M. Tech(IIT Delhi)

Prof. Agarwal has more than 18 years experience in teaching and consulting in the areas of Business Statistics, Data Analytics, ERP, Data Mining, and Business Intelligence. Currently working as an associate professor in an leading business school, Prof. Agarwal teaches both graduate and post-graduate levels. In addition, he regularly conducts workshops on Data Analytics in leading business schools and engineering colleges.

Prof. Agarwal has done consulting work in Data Analytics for many public sector companies including Airport Authority of India, Indian Oil Corporation.

Prof. Agarwal has published many papers and co-authored "Decision Making using AHP" book, which is used as a text book by many management schools.

Workshop Fees:

Rs. 13,000/- + 10.3% service Tax

Above fees covers training fees, lunch and refreshment for two days, course material, certificate of participation and Service tax.

Total Fees: Rs. 14,339 /- (including 10.3% service tax)


Early Bird Special:

Register and make full payment 21 days before the event date and avail 10% discount

Payment Options:

1. Pay by Cheque/DD in favor of "OptiRisk Learning Systems (P) Ltd" payable at Chennai.

Send the cheque / DD to the following address along with the registration details.

OptiRisk Learning Systems (P) Ltd,
L-468, Ground Floor, 21st Cross Street ,
Thiruvalluvar Nagar, Thiruvanmiyur.
Chennai - 600041
Ph: 044 4501 8472 / Mob: +91 90945 32918

[ OR ]

2. Pay by bank transfer to the following bank account.

Online Account Details :
Account Name: OptiRisk Learning Systems (P) Ltd. Account Number: 30801187665
Bank Name: State Bank of India IRTGS/NEFT/IFSC Code: SBIN0011721
Branch : Valmiki Nagar Branch, Chennai MICR Code: 600002157
Acount Type : Current Account

Upon successful transfer of the payment, please send the transfer confirmation details to contact@optiriskindia.com.

Registration:

Offline Registration:   Please complete registration form (last page of the brochure : click here to download) along with a payment of Rs. 14,339 /- to the address mentioned in the registration form. Alternatively, you could call / email us to register: training manager, at contact@optiriskindia.com.
Ph: +91 9094532918 / +91 44 4501 8472.

Online Registration
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Contact Us

For registration and more information on the workshop or to find out about exhibition, sponsoring the workshop, please contact training manager, at contact@optiriskindia.com. Ph: +91 9094532918 / +91 44 45018472.

Brochure

Click here to download PDF version of the workshop brochure.

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(C) 2009 OptiRisk India. All rights reserved. Optirisk India is a subsidiary of Optirisk UK.

L-468, Ground Floor, 21st Cross Street, Thiruvalluvar Nagar, Thiruvanmiyur, Chennai - 600041.
Tel: +91 98406 18472 / +91 44 4501 8472. Email: contact@optiriskindia.com