This document outlines nine ways that big data can be used to improve business operations and decision making. These include exploring and visualizing big data to improve decisions, protecting data security and integrity, streamlining application development and consolidation, gaining a unified view of customer data, improving application efficiency, augmenting data warehouses, enhancing security intelligence with additional data sources, and analyzing machine data for business insights. More information can be found at the provided URL.

1. DATA EXPLORATION
Find, visualize, and understand all
big data to improve decision-making.
SECURITY AND COMPLIANCE
Protect data, improve data
integrity, mitigate breach risks
and lower compliance costs.
APPLICATION CONSOLIDATION
AND RETIREMENT
Archive old application data and streamline
new application deployment with test data
management, integration, and data quality.
EFFICIENT APPLICATION
DEVELOPMENT & TESTING
ENHANCED 360° VIEW
OF THE CUSTOMER
Create and maintain right-sized
development, test and training
environments.
Achieve a true unified view of
internal & external sources with
structured & unstructured data.
IMPROVE APPLICATION
EFFICIENCY
SECURITY & INTELLIGENCE
EXTENSION
Manage data growth, improve
performance, and lower the cost
for mission-critical applications.
Enhance traditional security
solutions by analyzing all types
& sources of under-leveraged data.
DATA WAREHOUSE
AUGMENTATION
OPERATIONS ANALYSIS
Integrate big data and
data warehouse capabilities
to increase operational efficiency.
Analyze a variety of
machine data for improved
business results.
Learn more about Integrating and Governing Big Data at http://IBM.co/WhyGovernance