As the volume, variety and velocity of information increases, a greater burden is placed on organizations to distribute the right information, at the right time, to the people, processes and applications that rely on it to make business decisions. Organizations are often challenged by a disjointed data environment and steep ramp-up periods that delay their ability to get to the outcomes they need. Learn how advanced analytics technology, including predictive analytics, streaming analytics and solutions built on Hadoop, can work together to help you get the most out of your big data

1. Advanced analytics at scale:
Because business outcomes matter

2. …is challenging!

3. There is too much data to store
and analyze.
Big data is challenging!
You may be missing valuable
opportunities.
2x
Data volumes
double by this
amount every year
1 trillion
Number of
connected devices
that will soon exist
There is too much focus on the past
and not enough forward thinking.
There is too much data to store and analyze.

4. “It is estimated that the
amount of data in the
world doubles every 18
months.”

5. Soon there will be 1 trillion connected devices.

6. There is too much focus on the past, and not
enough forward thinking.

7. You could be missing valuable opportunities.

8. How do you find real insights in
all the noise…and connect the
right data to the right people in
the right context…for the right
decisions at the right time?

9. Businesses today are swimming in data about their
customers, assets, employees and more…but not all
of that data is the same.

10. Data at rest is inactive data stored in databases,
enterprise systems, spreadsheets, workstations,
mobile devices and other digital forms.

11. Data in motion is data that is continuously
streaming and changing, including machine data,
sensors, video, audio, web and social media.

12. You need a powerful analytical platform to
navigate both data in rest and data in motion.

13. IBM advanced analytics for big data
 Create powerful models without hiring a team
of programmers and developers.
 Use every bit of historical data to build, rebuild
and validate models without sacrificing
performance.
 Score streaming data and provide results in
real-time to applications, people, and systems to
make decisions.

14. IBM BigInsights®
IBM Infosphere®
Streams IBM SPSS®
Modeler
Unlimited
performance and
simplicity
Access to data
wherever it resides
Visualize, filter and
analyze large data
sets
Open-source Hadoop
platform
Fewer hardware resources
More throughput
Advantage increases as
scale increases
Integrates w/existing
architecture
Self-earning, self-
correcting, cognitive system
All data, all cultures, all
languages
Discover insights and
patterns
Predict likely outcomes
Intuitive and visual
Structured and
unstructured data
Performance and
scalability
Repeatable process
Quick time-to-solution
and high ROI

15. Learn more…
View the 30-minute webinar from IBM
SPSS®
Software today:
“Analytics at scale: Because
business outcomes matter”
bit.ly/1LbPZFS