exponentially influencing business outcomes with big data ... · exponentially influencing...
TRANSCRIPT
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
Confidential Saama Technologies, Inc
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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Confidential Saama Technologies, Inc
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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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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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
Confidential Saama Technologies, Inc
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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