Watson Analytics Template - GSE Young Professionalsgsebelux.com/system/files/Peter D'Haeyer - Watson...
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IBM Watson Analytics
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© IBM 2015 2#WatsonAnalytics
Technology has changed expectations
Our work and personal lives have
blurred
It’s an “always-on”
worldA Do-It-Yourself
mentalityprevails
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© IBM 2015 3#WatsonAnalytics
Leveraging analytics still faces many obstacles
Source: Analytics: The New Path to Value, a joint MIT Sloan Management Review and IBM Institute for Business Value study. Copyright © Massachusetts Institute of Technology
have a limited understanding of how to use analytics
38%
Self-service analytics and expectations to drive better data-driven decisions are rising
of the time is spend on data preparation80%
Making decisions rapidly is no longer a goal; it’s an imperative
find it difficult to get data24%
Access to requireddata sources is critical while maintaining governance standards
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© IBM 2015 4#WatsonAnalytics
Even a simple analytics project has multiple steps and people
Data Access
Data Preparation
Analysis
Validation
Collaboration
Reporting
Data Scientists and Statisticians
Business Users
ITBusiness Analysts
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And it’s rarely a straightforward process
Data Access
Data Preparation
Analysis
Validation
Collaboration
Reporting
Data Scientists and Statisticians
Business Users
ITBusiness Analysts
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© IBM 2015 6#WatsonAnalytics
IBM Watson Analytics
Think Ahead
Tell a StoryUnderstand Your
Business
Get Better Data
Mobile Ready Secure
Embedded information services provide data
access and refinement
Automated intelligence accelerates your ability to
answer questions
Predictive analytics reveals insights and opportunities
Visualizations support your decisions and
communicate results
Put analytics in the hands of a broad range of users
Make data access and refinement easier
Deliver through the cloud for agility and speed
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© IBM 2015 7#WatsonAnalytics
IBM Watson Analytics
Business Users Business Analysts Data Scientists IT
Self-sufficient analytics for business users and experts alike
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© IBM 2015 8#WatsonAnalytics
Marketing
CampaignPlanningand ROI
Analytics can make a difference in many ways
Sales
Customer Retention
Finance
Prioritizing Accounts
Receivable
IT
Helpdesk Case
Analysis
Operations
Warranty Analysis
HR
Identifying and Retaining
Key Employees
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© IBM 2015 9#WatsonAnalytics
IBM Watson Analytics
Natural language dialogue
Key business driver insights
Quick start intuitive interface
Dashboard and
storytelling authoring
Easy data upload and search capabilities
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© IBM 2015 10#WatsonAnalytics
Ask mew questions about your data using
natural language
Automatically provides new insights about
your data
IBM Watson Analytics - Explore
Select and dive deeper into explorations
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© IBM 2015 11#WatsonAnalytics
Ask questions about your data using
natural language
IBM Watson Analytics - Explore
Click on the new insights provided by
Watson Analytics and explore the
results Add in data points and see things
differently using the visualization
menu, data filters, color pallets and
more
Share images with your peers, or email
it to your team
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© IBM 2015 12#WatsonAnalytics
Additional insights discovered for you
Pin your results for use in dashboards
and storytelling
Automated data visualizations
Identified predictors of your target
analysis
IBM Watson Analytics - Predict
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© IBM 2015 13#WatsonAnalytics
IBM Watson Analytics - Predict
Additional tabs for further predictive
insights
Pinning for dashboard and
storytelling
Top decision rule determined
for highest percentage of
Wins
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© IBM 2015 14#WatsonAnalytics
IBM Watson Analytics – Assemble
Include graphics, corporate logos and more to personalize
your view
Create dashboards and infographics from your pinned
objects
Select from a wide array of templates and color schemes
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IBM Watson Analytics
Be Brilliant!
Single Analytics Experience
Fully Automated Intelligence
Natural Language Dialogue
Guided Analytic Discovery
Visit WatsonAnalytics.com and get started for free
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© IBM 2015 16#WatsonAnalytics
Cognitive technology - Applying IBM Watson capabilities to business analytics
Watson Analytics
An application built from and contributing to the Watson ecosystem
A unified, self-sufficient analytics platform of services for business users
Ability to automate powerful analytics and accelerate human analysis and
deeper insights in data
Focused on determining the analytic or predictive relationships in
structured data from both internal and external perspectives of your
business
Understands the language of analytics and the type of analysis that the
user needs to perform
Watson
A platform of cognitive capabilities used to build new cognitive
applications
Creates a new partnership between people and computers
Ability to enhance, scale and accelerate human expertise
Unstructured data based on vast amounts of information
Focused on deep NLP to understand the connections, associations and
relations within vast amounts of unstructured information
Trained by interrogators on specific domain content knowledge
Common traits
Watson Explorer – indexing data for search
Natural language processing – for speech and dictionary services
Hypothesis generation- for data understanding and confidence levels
Data visualization – for illustrating insights, derived from RAVE
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© IBM 2015 17#WatsonAnalytics
Learn more at WatsonAnalytics.com
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© IBM 2015 18#WatsonAnalytics
Demonstration
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© IBM 2015 19#WatsonAnalytics
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o © IBM Corporation 2015. All Rights Reserved.o The information contained in this publication is provided for informational purposes only. While efforts were made to verify the
completeness and accuracy of the information contained in this publication, it is provided AS IS without warranty of any kind,
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o References in this presentation to IBM products, programs, or services do not imply that they will be available in all
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