Exponentially influencing business outcomes with Big Data Analytics

Confidential Saama Technologies, Inc

Exponentially influencing business outcomes with Big Data Analytics Sagar Anisingarau, Chief Strategy Officer

Gartner Catalyst Conference

San Diego – August 11, 2015


Introductions

Sagar Anisingaraju is the Chief Strategy Officer of Saama Technologies. His recent contributions include architecting a repeatable advanced analytics engine and solutions using the same for a variety of industries. He is passionate in helping customers derive business outcomes with their data assets. He was the winner of Chief Strategy Officer of the Year award from Innovation Enterprise. Email: [email protected] Web: www.saama.com

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Why?

Consumers are influencing businesses in a variety of ways, never before imagined. Businesses are undergoing major transformations to adapt and engage with this growing influence. This process of “consumerization” is driving executives to pay close attention to what customers feel and think about their organizations and internalizing insights into everyday decision making. Discover how Big Data Analytics empowers executives to measure customer behaviors to exponentially influence business outcomes.

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Confidential Saama Technologies, Inc 3

Listening post for customer

behaviors

Map sentiment to performance

metrics

Identify magical joins

Select metrics that can be

moved proactively

Deliver business outcomes Technology

architecture to adapt, learn and

grow

How to generate exponential business outcomes from customer data?

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Insights from Customer Sentiment

Customer Experience Emotions, Opinions,

Key Topics

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KPIs, Topics, Sentiment, ESAT

Mapping Customer Sentiment to Internal KPIs

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Predicting an Operational Metric Example: “customer churn”

Which customer segments are likely

to churn? Why?

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Optimizing an Intervention Program Example: “customer churn”

How to reduce churn?

Where do we want to be?

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Business Outcomes

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Business Outcomes

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Saama Fluid Analytics Engine Advanced Analytics, Refactoring, Extensible, Speed, Reusable

Data Infrastructure Modern Data Warehouse, Cloud, V4, Data Lake, Realtime 1 Modern Analytics Platform

SP - Service Quality

Analytics Delivery -

Refactoring Real World Evidence

Insurance Analytics

Patient Insights

Trade Promotion Analytics Business Outcomes

Analytics Advantage 3

Saama’s Approach for Business Outcomes

2 Reusable Analytics Engine

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Life Sciences & Healthcare High Tech

& Other IoE Insurance Retail & CPG


Call to action for Exponential Business Outcomes

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Do we have a listening post for customer behaviors? Do we know how to map them to internal performance metrics? Which parts of our business metrics are impacted by customer behaviors? Which metric can I predict and move it to a direction that we want? How do we measure business outcomes from data?

Do we have a modern analytics platform that is fluid and flexible?

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Data & Analytics

Exponentially influencing business outcomes with Big Data Analytics