Business Analytics

Business Analytic Consulting

Competition has made it necessary for bankers to consider three crucial aspects of marketing

• To offer the Right Type of Products/services         
• To the Right Customers and
• At the Right Time                                 

Our services of Business Analytics Consulting, Response Modeling, Market Basket Analysis, Segmentation and Event Based Marketing provide scientific approach for designing marketing strategies.

Our services also help banks in

Risk Management –

To efficiently manage risk we need to do…

Credit scoring - Our solutions using advanced statistical modeling help banks to dramatically reduce the rate of bad debts and expand credits to risk free customers.  We develop customer scorecards using techniques such as logistic regression, survival analysis and Bayesian regression.

Fraud Detection - By applying data mining solutions like Neural Networks, Cluster  Analysis, and Logistic Regression to profiles of known delinquents, we help banks to develop systems to identify potential delinquents.   

Attrition Management –

Our modeling services will help you to gain insight into who are the customers likely to attrite.  By studying the pattern s of such customers in the historical data, we can help     to predict attrition and identify customers that have to be retained

Insurance Analytic is used in the Insurance Sector in Marketing, Underwriting and Claims

Marketing – (Customer Retention: Churn Modeling, Cross-Sell Modeling, Customer Segmentation & Agent Performance Rating) 
We develop statistical models using l Survival Analysis, Naïve Bayes, Bayesian Logistic Regression for

• Acquisition of new customers
• Identifying cross sell opportunities
• Predicting customer retention

We also develop marketing strategies based on in depth segmentation of customer data.

Underwriting – (Risk Selection, Pricing and Prediction of Probable Maximum Loss PML])

Our predictive Insurance Analytics solutions help to reduce leakage and improve competitiveness by making more accurate pricing decisions.  We develop statistical models for calculating Insurance Scores.  Insurance Analytics score is a number or rating which is based on consumer’s credit history.  The static risk selection rules and pricing decisions can be made more efficient, with the use of Insurance Scoring Models.

Claims - (Claims Reserving & Claims Fraud Detection)

Efficient claims processing using predictive analytics can save millions of dollars for insurance companies every year.

We provide high level consulting services to Actuarial team for providing effective solutions in

• Estimation of loss curves
• IBNR(Incurred but not reported) Claims Reserving
• Fraud Detection
• Subrogation

 

With more of our money flowing into the Stock Markets than ever, we desperately need a more sophisticated view of the Stock Market and far greater depth into stock performance analysis than a simple market cap index can give.  This is where our services can help you – We do…

Portfolio Management -   We provide customized portfolio management services so that you can achieve a desired risk/reward ratio using optimization techniques and regression modeling.  We have been designing portfolios such as Enhanced Nifty or Modified Nifty using autoregressive models and Markowitz method.  The creation and rebalancing of portfolio is purely based on statistical parameters.

Forecasting - Using univariate and multivariate time series modeling such as ARCH, GARCH, VAR we forecast

• Stock Market Indices

• Prices of individual stocks

• Volatility in indices

• Prices of Commodities

• Relationship between different Indices

• Net Asset Value of Mutual Funds

We have advanced statistical skills to develop complex and dynamic models to simulate behaviors of key market indicators.

Product Development & CRM - Pairs trading is a strategy for any two ‘assets’, say stocks or commodities from the same sector, which have long term equilibrium relationship. Short term deviations from long term relationship provide opportunities to investors to earn profit.

We develop pairs trading strategies using statistical theory of co integration. Identification of pairs and formation of trigger systems are purely based on statistical parameters.

We have extensive experience of highly successful trading strategies using Engel Granger method, Johansen Method, Error Correction Models and Stochastic processes.

We also provide other services like Option Pricing, Trading rules and Bond Pricing

As Human Resources processes are becoming more and more quantitative, use of analytics is vital to get actionable insights from this survey data. We can help our clients to develop organization level policies based on processes such as:

Employee Engagement Survey

Human Resources departments often conduct surveys to tap the perceptions of employees on various aspects concerning the organization. Feedback gathered through Human Resources process is a valuable input for evaluating the effectiveness of various systems and processes in the organization and redesigning the same if necessary.

Our Services include:-

• Questionnaire Designing.
• Data Management: Data Entry, Data Editing and Data Coding.
• Statistical Analysis which include Factor Scoring, Summarizing ‘Satisfaction Level’ across locations, grades and departments. Identification of factors having significant impact on ‘Satisfaction’ using statistical modeling techniques.
• Report Writing and Presentation

 
360-Degree Feedback Survey

This Human Resources process is designed to increase an individual’s awareness of strengths and weaknesses. The feedback about an employee is gathered from superiors, peers and subordinates.
 
Our Services include:-

• Questionnaire Designing
• Data Management: Data Entry, Data Editing and Data Coding
• Statistical Analysis which include Factor Scoring, Summarizing factor scores for each employee, Gap analysis between the self-perception and the average rating of superior, peer and subordinates.
• Report Writing and Presentation.

H.R. Customer Satisfaction Survey

Human Resources departments in large organizations may also conduct internal surveys to understand their effectiveness in serving their internal clients. We help in designing the survey, data management and analysis of results. Our insights help HR departments to be more responsive to other departments in the organization.

Performance Appraisal and Compensation Review Feedback Survey.

Talent is key to success in any industry. We help large companies with talent management ensuring that management has the right data and insights to make decisions around talent retention

Once the field in Market Research is completed, maintenance and management of the collected data are done. The data are arranged in accordance with Market Research, infrastructure, personnel, processes and other requirements for the analysis. Following a structured and role-oriented approach, our personnel execute the tasks deliver dependable data assets for business decisions.

Customer Retail own large volumes of invaluable information and data about its customers and their transactions. Customer Retail can be used to focus on characteristics of the marketing activities that increase the probability of better returns, making more effective decisions leading to Purchase acceleration, Brand switching, Basket effects and Store Loyalty.
Our objective would be to translate the vast amount of constantly changing data from different sources into actionable information to drive higher levels of customer acquisition, loyalty and sales growth.

Our gamut of services include:-

Customer Profiling & Behavior

• Customer Profiling
• Customer Retention
• Segmentation
• Cross-selling & Up-selling

Merchandise Management

• Demand forecasting
• Market Basket Analysis
• Price Optimization
• Product Categorization

Promotion Design

• Sensitivity Analysis
• Channel driven – Pricing Differentials
• Markdown Analysis

Shop Floor

• Product placement across stores
• Product grouping for regional affinity
• Store Clustering

Some Techniques we have used in our Retail Sector solutions:

• Conjoint Analysis/Discrete Choice: Used for Demand forecasting for a segment of Customers
• Cluster Analysis: Used for Customer or Products Categorization
• Linear/Non-Linear Regression: To Identify factors that affect demand, store performance, price elasticities
• Time Series Analysis: For forecasting Sales
• Association Rules : Used for Market Basket Analysis

We offer Training - Statistical Methods to a range of audience - from relatively inexperienced users of statistics to experienced statisticians. We have designed modules from basic statistics to advanced predictive modeling and have provided training on statistical methods using tools like SAS Base, SAS Stat, Stata and MS Excel to various organizations  The Training - Statistical Methods sessions are offered at our facility or on-site depending upon client’s need.

We offer Training - Statistical Methods in:

Parametric Tests of Significance

• One Sample t test
• Independent Samples t test
• Paired t test
• Levene’s  F Test
• Analysis of Variance

Non Parametric Tests of Significance

• Mann-Whitney U test
• Wilcoxon’s signed rank test
• Kruskal Wallis Anova, Friedman Anova
• McNemar test
• Median test

Forecasting Techniques for Time Series Data

• Multiple Regression – auto correlated error
• Exponential Smoothing Techniques
• ARMA & ARIMA Modeling
• ARCH & GARCH Modeling

Predictive Modeling Techniques

• Multiple Linear Regression
• Binary Logistic Regression
• Multinomial Logistic Regression
• Poisson Regression

Multivariate Techniques

• Principal Component and Factor Analysis
• Cluster Analysis
• Canonical Correlation Analysis
• Discriminant Analysis
• MANOVA

Market Research Analytics

• Conjoint Analysis
• Multidimensional Scaling
• Segmentation Techniques

Provide line-of-business managers with actionable insights through packaged analysis and reporting solutions.

Competition has made it necessary for bankers to consider three crucial aspects of marketing Connect people with information when, where and how they need it.

Predictive analytics helps your organization anticipate change so that you can plan and carry out strategies that improve outcomes.

Once the field in market research is completed, maintenance and management of the collected data are done. The data are arranged in accordance with market research, infrastructure, personnel, processes and other requirements for the analysis. Following a structured and role-oriented approach, our personnel execute the tasks deliver dependable data assets for business decisions.