A process of examining large amounts of data,
A variety of types to uncover hidden patterns, unknown correlations and
other useful information.
That information can provide:
• Advantages over rival organizations
• Business benefits
• Effective marketing and increased revenue
Primary goal of big data analytics is :
To help companies make better business decisions:
• By enabling data scientists & other users to analyze huge volumes of transaction data.
• That may be left untapped by conventional business intelligence programs.
Used as part of advanced analytics disciplines such as predictive
analytics and data mining.
Processing of large data sets across clustered systems.
Detect, prevent and remediate financial fraud.
Calculate risk on large portfolios.
Execute high-value marketing campaigns.
Improve delinquent collections.
BI (business intelligence) solutions
New visual resources
New data sources
• Social intelligence
• Mailing intelligence
IT is under pressure to tap into growing quantities of data to help the
business make better, informed decisions by combining new sources of big
data with existing enterprise dark data.
How will you uncover more customer and business insight and more data
Big data analytics applies to data sets whose size is beyond the ability of
commonly used software tools to capture, manage, and process data in a
“The amount of data in our world has been exploding, and analyzing large data
sets, so called big data will become a key basis of competition, underpinning
new waves of productivity growth, innovation, and consumer surplus”