Published on Sep 15, 2014 Watson Analytics offers automated data preparation and intelligence, engaging storytelling and guided analytics so you can find answers and action in your data on your own.

1. Find the drivers that
matter most to your
business
Be brilliant
IBM Watson Analytics

2. You need
to make
decisions
based on
your data,
but…
 You’re not a data
expert.
 You can’t afford to wait
for help from IT.
 You’re not sure where
to start.

3. With IBM®
Watson™
Analytics, a
cloud
solution,
you can…
 Get better data.
 Understand your
business.
 Tell a story.
 Think ahead.
 Find answers specific
to your role.

4. Get better data
Grab what you need from your data without the pain.

5. Trust your data and the
results.
• Data preparation, refinement and analysis
are automated.
• Cloud-based data management services
make your data rapidly accessible.
• The latest big data technology handles large
volumes of data with ease.

6. What does this mean for you?
• You don’t have to ask IT for access to your
data.
• The right data is ready when you are.
• You can rest assured that your data is
accurate, relevant and complete.

7. Understand your
business
See where your ideas can take you.

8. Jumpstart your analysis.
• Automated intelligence accelerates your
ability to get to the answers you need.
• Automatic analysis takes the guesswork out
of determining what's important in your data.
• A full range of analytics explains why things
happened and what's likely to happen.

9. What does this mean for you?
• Instead of fumbling over analysis, you can
focus on understanding what’s important to
your business.
• Simply type in what you would like to see
and Watson Analytics provides the answers.
• You can continuously fine-tune your
questions to get to the heart of the matter.

10. Tell a story
Prove your point with confidence.

11. Show what’s important
• Trends and patterns in your data can be
displayed as illustrations called visualizations.
• The visualizations that demonstrate your
ideas most effectively are recommended.
• Key visualizations can be used in brilliant and
compelling infographics.

12. What does this mean for you?
• You can communicate your ideas effectively
so others see your point of view.
• You can be confident that your point is being
made clearly and compellingly.
• You can more easily advance understanding
and spur the right action.

13. Think ahead
Anticipate opportunities and make them happen

14. Discover, predict and act
• Guided discovery enables you to find obvious
patterns and derive useful insights.
• Embedded predictive analytics automates
statistical analysis, correlations and modeling.
• Recommendations based on analytics results
enable you to take the appropriate action.

15. What does this mean for you?
• You can ask the questions that need to be
answered to move your business forward.
• You’re aware of opportunities or problems that
might otherwise have been missed.
• You can not only see what is most likely to
happen but also what you can do about it.

16. Find answers specific
to your role
Whether you’re in marketing, sales, IT, operations,
IT or finance, you’re covered.

17. “How can I make sure I target the
hottest leads? How can I increase the
value of the customers I already
have? How can I create more
successful campaigns?”
Lisa Hay, Marketing Manager
Watson Analytics and marketing

18. Lisa Hay
Opportunity ranking
Watson Analytics shows
Lisa what good leads look
like so she can understand
why they are more likely to
buy. She can then target
leads and prospects with a
higher likelihood of
becoming a sale to boost
revenue. She no longer
has to waste time or
resources pursuing leads
that go nowhere.

19. Lisa Hay
Customer value
Watson Analytics reveals
the attributes that drive
profitability and indicates
customers who meet
identified profitable profiles.
Lisa can provide those
customers with targeted
recommendations—no
matter how they interact
with Lisa’s company. This
can lead to increased
conversions and greater
customer value.

20. Lisa Hay
Better marketing
campaigns
Watson Analytics uses
predictive analytics to show
Lisa which customers
respond to various
campaigns. She can also
see the likelihood that
customers will respond.
Lisa can then increase the
success of her campaigns
by making the right offer to
the right customer at the
right time through the right
channel.

21. “Which deals am I most likely to
close? How can I increase my sales?
What can I offer customers to keep
them from going to a competitor?”
Bridget Hart, Sales Manager
Watson Analytics and sales

22. Bridget
Hart
Win-loss prediction
Watson Analytics
analyzes Bridget’s sales
pipeline and identifies
which deals have the
highest chance of closing
and which she’s at risk of
losing. She can then
close more deals and
eliminate performance
gaps, ultimately
increasing sales revenue.

23. Bridget
Hart
Customer retention
Watson Analytics
analyzes and predicts
customer behavior to
show Bridget which
customers are at risk of
leaving and why. She can
then make targeted
offers designed to
convince them to stay,
increasing retention and
customer profitability.

24. “How can we resolve IT issues
faster? Where are my helpdesk
tickets originating? What's causing
an increase in trouble tickets for a
specific product line? Why?”
Donny Cruz, IT
Watson Analytics and IT

25. Donny
Cruz
Helpdesk activity
analysis
Watson Analytics
analyzes the IT helpdesk
tickets in Donny’s
organization. He can see
how long tickets have
been open, the average
response time, and
what’s causing high
priority tickets. He can
then allocate resources
to resolve tickets faster.

26. “Why are these products being
returned? How can I speed up
approval processes for warranty
claims, but still manage an increasing
fraud problem?”
Watson Analytics and operations
Ben Taylor, Operations

27. Ben
Taylor
Warranty analysis
Watson Analytics analyzes
returns, predicts upcoming
warranty costs and issues,
and identifies potentially
fraudulent warranty
claims. Ben can use the
results to increase the
effectiveness of his
company’s claims and
warranty department and
reduce fraud.

28. “What is driving employee
satisfaction? Why are employees
leaving? How can we create and keep
top performers?”
Watson Analytics and HR
Anisa Mirza, HR Manager

29. Anisa
Mirza
Employee retention
Watson Analytics
analyzes information
about employee
behavior, gauges
satisfaction and predicts
attrition. Anise can see
the factors that cause top
performers to disengage
so she can intervene with
actions that convince
them to stay.

30. “Which accounts are most likely to
be paid? How can collections be
more efficient? How does it affect
revenue and profit when we lose
customers? How can the sales
pipeline help me forecast revenue?”
Justin Chen, Finance Manager
Watson Analytics and finance

31. Justin
Chen
Accounts receivable
Watson Analytics
analyzes accounts and
collections to create a
predictive profile of
customers—from least
likely to most likely to
pay. Justin can prioritize
outreach and
communication based on
these profiles for more
efficient collections.

32. Justin
Chen
Customer attrition
Watson Analytics
analyzes customer data
to identify which
customers are likely to
leave and why and
predicts the effect on
revenue. Justin can then
determine which
customer investments
will lead to more
profitable growth.

33. Justin
Chen
Sales pipeline and
revenue
Watson Analytics
analyzes the current
pipeline conditions,
identifies performance
gaps, and predicts which
deals have the highest
chance of closing and
which are at risk. Justin
can use these factors to
develop more accurate
revenue forecasts.

34. Visit
Watson Analytics on the
web to learn more and
sign up.
What’s your story?
watsonanalytics.com
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