BIG DATA ANALYTICS

Presented by : Samik

Gupta Amit

Kumar Siddharth

Dixit Nishant Jain

WHAT IS “BIG DATA”?

Big data is a term applied to data sets that grow so large and complex that it is beyond the ability of commonly used software tools to capture, manage, and process the data within a tolerable elapsed time.

Characteristics of Big data: Volume Variety Velocity Value

WHEN TO CONSIDER BIG DATA SOLUTION? Big data solutions are ideal for analyzing not only raw

structured data, but semi-structured and unstructured data from a wide variety of sources

Big data solutions are ideal when all, or most, of the data needs to be analyzed versus a sample of the data; or a sampling of data isn’t nearly as effective as a larger set of data from which to derive analysis

Big data solutions are ideal for iterative and exploratory analysis when business measures on data are not predetermined

WHAT CAN YOU DO WITH BIG DATA?

• Financial Serviceso Fraud detectiono Risk managemento 360- degree view of the customer

• Telecommunicationso Churn predictiono CDR processingo Network monitoring

• Retailo 360- degree view of the customero Click-stream analysiso Real-time promotions

• Law enforcemento Real-time multimodal surveillanceo Situational awarenesso Cyber security detection

TECHNOLOGIES AND TOOLS USED

Technologieso Massively parallel processing (MPP) databaseso Distributed file systemo In memory computing, etc.

Toolso Big Data by IBMo Exadata by Oracle

BUSINESS BENEFITS

Detect, prevent and remediate financial

fraud

Calculate risk on large portfolios

Execute high-value marketing campaigns

Improve delinquent collections

THANK YOU