Valiance Solutions- Bringing Data to decisions

1

Click here to load reader

Transcript of Valiance Solutions- Bringing Data to decisions

Page 1: Valiance Solutions- Bringing Data to decisions

V Valiance Solutions- Bringing Data to Decisions

Copyright ©2013 Valiance Solutions Pvt Ltd. www.valiancesolutions.com [email protected]

Bringing Data to Decisions

Increased industry competition, customer expectations, market regulations are forcing Banking & Insurance firms to innovate in terms of reaching out to customers, give them more personalized experience, aligning marketing initiatives towards business goals along with controlling organizational risks.

Companies are increasingly using internal and external data sources for such initiatives. We help companies leverage power of Data Analytics to improve top line and bottom line by putting meaningful data driven facts and figures in front of decision makers.

Who we are? Valiance Solutions is a Data Analytics firm with Head Quarters in New Delhi, India. It helps Banking and Insurance clients leverage analytics to improve top line and bottom line. This is achieved through combination of statistical analysis, predictive modeling and data visualization.

Our Executive team comes from top technology and management institutes like IIT’s and IIM’s and has experience of working with top organizations like American Express, Bank of America, Merrill Lynch etc on various assignments.

We have worked with Banking & Insurance firms on different analytics assignments, successfully implementing scientific decision frameworks.

What do we do? Every organization is different in terms of data and analytical maturity along with business problem it faces. Our unique approach works to understand your business areas and devise right analytical framework to address business problem at hand.

We bring strong expertise in Banking & Insurance domain in application of analytics to Customer Acquisition & Retention, Marketing and Risk functions. We help firms with

Understanding key drivers of business scenarios /problems and impact of different factors on them.

Build scientific frameworks to help successfully pre-empt events like Customer Churn, Claim fraud or loan default.

Key areas of expertise

Customer Acquisition: Identify high quality, high longevity prospects

Customer Retention: Identify customers most likely to churn over specific period.

Measuring & improve marketing campaign response effectiviness.

Marketing: Identify customers with high propensity for Cross Sell & Up Sell.

Claim Fraud: Fraud claim prediction. Credit Risk scoring for secured & unsecured lending. Bad Debt Collection prioritization Text Analytics: Measuring Customer experience and

Sentiment.

How we do it?

Why Us Strong team with experience in successful implementation of

analytical solutions across Banking & Insurance sector. In depth knowledge of advanced statistical tools and

modeling techniques to impact visible business outcome. Successful implementation of 50+ predictive models for

clients across domains. We can help you quickly set up decision processes and

improve agility and responsiveness.

Return on Investment We make sure any initiative we undertake generates measurable return to customer. We helped a Life Insurance company improve customer retention resulting in increased savings of Rs 18 Crores over period of six months. In another such initiative we worked with a consumer durable lending company to develop credit risk scoring model for approval of loan thus bringing down loan portfolio default rates from 8.3% to 2.1% over a period of time.

Whether you are looking to understand factors behind business problems, institutionalize analytics within your organization or develop BI solution customized to your needs, we are here to partner with you and help you reach your goals successfully. Write back to us at [email protected].

Business Problem

•Right Datsources •Right variables

Data

•Data Aggregation •Data Cleaning •Variable Analysis •Variable Reduction & Transformation

Analytics

•Predictive Modeling •Clustering

ROI

•Metrics & KPI's •Actionable Insights •Increase in Top Line & Bottom Line