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Industry

Retail, Insurance, Banking & Financial Services and Telecom

Industry

Retail

Insurance

Banking & Financial Services

Telecom

Retail

1. Consumer Analytics

Product optimization based on consumer behaviour

– Derive actionable insights from data to improve product quality

– Customer Return Prediction

– Forecast the percentage of repeat customers

– Gauge the actions to improve customer engagement

– Market Basket Analysis

– Formulate business rules to optimize sales and revenue

2. Pricing

– Compare the price with known indicators of reasonableness

 3. Product Search Optimization

– Improve the site visibility when a consumer searches for a product on the web

– Drive traffic towards a website

4. End-to-end Design and Management of Loyalty

– Improve customer retention by offering rewards for purchases made

– Acquisition of new customers through word-of-mouth

5. SEM Bid Optimization

– Build algorithms to automate the bidding for the paid search keywords

– Integrate complex business objectives including goals, constraints, and budgets

Insurance

1. Fraud Detection in claims

– Leverage Statistical Modelling to detect fraudulent claims

 2. Leverage Net Promoter Score to help in improving business

– Reduce the number of detractors

Make better business decisions by understanding customer habits and risks

– Segmentation

– Create promotional plans and arrive at new pricing initiatives that suit each segment

– Improve sales and profit in each segment leading to overall profitability

Profiling

– Build a portrait for each segment, in a way that it gives insights into the demographics and behavioral traits

– Help make informed decisions

– Personalized offers

– Leverage data analytics to deliver personalized product offerings to customers with an intent to enrich the customer experience

3. Product Portfolio Optimization

– Choose which products and product lines need to be retained or eliminated

– Effective management of demand for products / services

– Leverage analytics to enable better decision making to cut costs, increase revenue and profit, and enhance the company’s competitive edge

4. Upsell & Cross-Sell

– Leverage insights gained from Profiling and recommend the right services for effective upselling and cross-selling

Banking and Financial Services

1. Consumer Analytics

– Acquisition

– Leverage Data Science to identify and target the high-value customer segments

– Segmentation

– Leverage analytical data based on behavioral traits and demographics

– Create promotional plans and arrive at new pricing initiatives that suit each segment

– Improve sales and profit in each segment leading to overall profitability

– Lifetime Value Prediction

– Determine Customer Lifetime Value to make informed decisions

– Involves collaboration of Finance, Marketing and Risk

– Churn Reduction

– Leverage Predictive Analytics to identify customers who are likely to churn out

– Determine actions to gain customer loyalty

2. Compliance and Regulatory Requirements

– Leverage  Business Intelligence framework to automate repeatable regulatory tasks for all activities across the enterprise

– Guard against fraud and reduce risks associated with incorrect compliance activities

3. Fraud Detection

– Use Machine learning techniques to detect instances of fraud

– Improve security control through continuous auditing and monitoring

4. Personalized Marketing

– Leverage data analytics to deliver personalized product offerings with an intent to enrich the customer experience

5. Risk Management

– Enable data collection, validation and conversion to actionable insights to enhance risk management strategies and improve performance

6. Complaint and Claim Handling

– Prioritise complaints and claims, to optimise resources and achieve customer delight

7. Cash Liquidity Planning

– Manage funds optimally and obtain an overview of future changes in investment and liquidity options

 

Telecom

1. Location Based Services & Personalized Advertising

– Create personalized offers and advertisements based on demographics and usage history

 

2. Consumer Analytics

 

– Targeted Offer & Campaign Management

– Create and Manage campaigns to reach the right target audience with the right products

– Pricing Optimization

– Devise optimum pricing plans based on usage pattern for different user types

– Profitability Analysis 

– Forecast the profitability of a proposal based on increase or decrease in the profit margins of a current engagement

– Upsell & Cross-Sell

 – Assess the nature of different customers and suggest the right services for effective upselling and cross-selling

– Multi-SIM Prediction

– Help detect the presence of another SIM to gain an advantage in the competitive market

3. Quality of Service

– Improvise Customer Query Resolution, Sales and NPS (Net Promoter Score)