The document discusses the state of data in enterprises and the challenges posed by data silos and disparate sources that impede a data-driven business. It proposes a Unified Analytics Platform (UAP) to enable full-fidelity analytics through data unification across various formats and sources. The document emphasizes the importance of leveraging appropriate technologies and analytics solutions for successful data-driven enterprises.

1. Next Generation
Analytics Architecture
for Business Advantage
Ravi Condamoor
Founder & CEO

2. Agenda
• State of Data in the Enterprise
• Analytics Silos
• Impediments to a Data-driven business
• Unified Analytics Platform (UAP)
• Technology Choices
• Application Examples
• Case Study – Insurance Claims Analytics
• Conclusion

3. State of Data in the Enterprise
• Data comes in many varieties -
text, audio, video, click-streams,
log files & more
• Data comes from various
sources - Data Warehouses, Cloud,
Social Media, Mobile…
• Data comes in various formats
– Structured, Semi-structured &
Unstructured
• Data is generated at a record
pace – streaming, real-time, near
real-time
Terabytes
Petabytes
Exabytes

4. Valuable Data is in Silos!
RDBMSSYSTEM FILES
CRM DATA
DATA
WAREHOUSES
NETWORK
TRADITIONAL DATA
SOCIAL MEDIA MOBILE
DATA
UNSTRUCTURED USER DATA
NEW
HETEROGENOUS
DATA SOURCES
SEVERAL STAKEHOLDERS; LOTS
OF INACCESSIBLE INFORMATION

5. Impediments to a Data-Driven Business
TOO MUCH DATA, TOO MANY
SOURCES, DIFFICULT TO
INTEGRATE.
MULTIPLE, DISPARATE BUSINESS
OBJECTIVES
PARTILAL, SILO-ed
ANALYTICS

6. Need of the hour – 360 Degree Analytics
• A Unified Analytics Platform (UAP) that can support
– Full Fidelity Analytics
– Descriptive, Predictive and Prescriptive Analytics
What
happened?
What is
happening?
What will
happen?
What can be
done?

7. The value is in Data Unification
CRM
Unified Analytics Platform
ENTITIES, SENTIMENTS,
RELATIONSHIP, TOPICS, BIZ RULES,
TRANSFORMATION, MAPPING
INTEGRATED DATA STORE,
DATA SYNCRONIZATION
DW, WEB, SOCIAL,
MOBILE, CRM, USER DATA
INGEST
PERSIST
ENRICH
Any type, any
scale, any
source…..all
the time!
Full-Fidelity
Analytics

8. Technology Choices
Text Analytics & Machine Learning
Purpose-Built
Architecture

9. Applications across Industries
ADVERTISEMENTS
Location-based
advertising
FINANCIAL SERVICES
Risk & Portfolio
analysis, new products
EDUCATION
Experiential learning
and feedback
analysis
LIFE SCIENCES
Clinical Trials &
Genomics
RETAIL
Consumer sentiments,
Optimized marketing
AUTOMOTIVE
Auto sensors
reporting location,
break-downs

10. Case Study - Insurance Claims Analytics
FLUME
SQOOP
CLAIMS
TRANSACTIONS
CUSTOMER PROFILE,
HISTORICAL CLAIMS
DATA
ACCIDENT
REPORTS, ATTORNEY
NOTES
MEDICAL
RECORDS
ENTITIES, INTENT,
BEHAVIOR, SENTIMENTS
RELATIONSHIPS, LINKS
STATISTICAL
COMPUTATION
CLAIMS
FRAUD
SCORING
TEXT ANALYTICS STATISTICAL ANALYTICS LINK ANALYSIS
PERSISTENCE
INGESTION
ENRICHMENT
ANALYTICS PREDICTIVE ANALYTICS
HBASE
HDFS
Unified Analytics Platform
Used by Claims Management Experts, SIUs, Underwriters

11. Summary
Data is the…
“new currency”
Leveraging the right platforms,
tools & skills to harness All the
Data is key to being a successful
Data-driven Enterprise!

12. ravic@serendio.com
Serendio provides Big Data Science Solutions &
Services for Data-Driven Enterprises.
www.serendio.com
Thank You!