Data Science: Views

Data Science & Analytics

Summary:

Data Science is a structured, rigorous, and cyclic process to leverage data for making informed decision.Due to intense competition and customer expectation, increased number of organizations are leveraging data science for competitive advantages.

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Advanced Analytics for Retailers

Summary:

Advanced analytics in retail industry can help in improving operational efficiency (e.g. low level of inventory cost, effective supply chain management etc), higher marketing effectiveness (e.g. sales driver identification, optimal budget allocation etc), creating customer experience and increasing customer loyalty (e.g. personalized product targeting, effective pricing).

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Insurance Analytics

Summary:

P&C and Life Insurance organizations have tremendous focus and demand of data science and analytics for due to regulations, customer demand and competitiveness.Adoption of analytics for Insurers has moved way beyond the underwriting applications.

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Campaign Analytics

Summary:

Organizations across industries run campaigns for providing information to customers or introducing new products & services. Campaign Analytics provide key insights on what worked well and how to improve campaign effectiveness.

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Collection Analytics

Summary:

Banks and Financial Institutions take measures to manage acquisition and portfolio risk even then some accounts defaults. The banks and financial institutions leverage advanced analytics to improve recovery rate and manage collection effectiveness.

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Credit Card Analytics

Summary:

Credit Card has revolutionized payment industry and there are a few financial institutions which are mainly credit card providers. Very sophisticated and advanced analytics have been used by credit card providers and network providers.

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Credit Risk Analytics

Summary:

Credit Risk Analytics is all about assessing, measuring and managing risk involved in granting credit facility or loan at an approval stage or various stages of the credit term.

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Customer Analytics & Insights: Financial Services

Summary:

Banks and Financial Institutions are using analytics for understanding customer behavior, Identifying customer needs and preferences and Engaging the customers.

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Fraud Analytics

Summary:

Fraud activities are prevalent across industries. Fraud Analytics provides mechanism to identifying suspected transactions before losses are realized.

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Healthcare & Life Science analytics

Summary:

Due to increased digitization and availability of data (patient health records, Prescription information, clinical trial data, claim data, genomics sequences, sensor readings etc ), healthcare industry has been ahead of other industries in employing data analytics and statistical modeling.

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Market Basket Analysis (MBA)

Summary:

Market Basket Analysis (also referred as affinity analysis or association analysis) is one of the commonly used methods to understand customer shopping behaviors and product association, which are the products bought together.

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Web Analytics

Summary:

Web Analytics in current context is capturing, measuring, summarizing and visualizing visitor information for understanding contribution of various pages and contents of a website in achieving its business objectives.

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