Watson Analytics Template - NEDB2UG › sites › default › files › WA... · 2016-04-18 · •...

Watson AnalyticsLinda Dest

March 24, 2016

© IBM 2015 2#WatsonAnalytics

Fully Automated

Intelligence

Natural

Language

DialogueGuided Analytic

Discovery

Single Analytics

Experience

IBM Watson AnalyticsSelf-service analytics capabilities in the cloud


IBM Watson AnalyticsFor Business Users, Business Analysts, & Experts

Business Analysts

Data ScientistsBusiness Users


Watson and Watson Analytics

• Cognitive Services

• Unstructured data

• Machine Learning

• Structured data

• Leverage some cognitive services

• Additional analytical services


Agility for the business + enterprise platforms helps turn ideas into opportunities

IBM Analytics Platform

Advanced user and IT managed analytics

Business user led analytics

1 change can improve everything10’s of insightful discoveries100’s of new questions each day

Transform the Business

Connector to Cognos Reports

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? …

??

?

Watson Analytics


Evolution of BI Market

Generation One

Generation Two

Generation Now

Descriptive

• Query, Reporting and Analysis

• OLAP

• Enterprise BI

• Statement Reporting

Biased

• Data Discovery

• Self-service

• Visualization

Unbiased

• Smart Data Discovery

• Cognitive query

• Storytelling

• Modernized for skillset

• Governed and ungoverned data


• CMO of a major domestic airline called Oursin Airlines Inc.

• Board of directors perceives the organization has a low

customer satisfaction rating

• Contracted with market research agency and recently received

results of a market survey regarding airline consumers & their

recent travel experiences.

• Use Watson Analytics to execute three main tasks

• Confirm / refute board’s perception

• Identify factors that influence customer satisfaction rating

• Assemble key findings within a dashboard to share with the

board.

Today’s Scenario



Orientation


Data Load


Twitter data


Student Exercise – Create Twitter dataset


Data quality score

• Indication of the suitability of the data

for advanced analysis

• Missing values, outliers, skewed

distribution

• Does not indicate the “correctness” of

the data


Dataset options

• Delete

• Refresh

• Share

• Rename

Refining Data


Refining Data

• Used to augment data set with

− Calculations

− Groupings

− Hierarchies

• Defining subsets of data by filtering

• Renaming column names for readability

• Making hidden columns visible


Refine – Filtering Data

Exploring Data


Explore: Starting points


Explore: Modifying visualizations


Explore - Suggestions


Modify question


Add a new attribute


Modify visualization

Predictions


Predict

• Identify patterns in historical data that can explain outcomes

− Which fields (inputs) are relevant in explaining a target outcome?

− What combination of fields (inputs) lead to different levels of the target

outcome

• Identify other interesting relationships in the data (un-related to the

target)


Identify factors influencing satisfaction


Identify correlations / increase predictive strength


Identify rules contributing to lowest satisfaction


Review Decision Rule Profiles


Review Predictor Importance via Word Cloud

Save

visualizations

for use within

dashboard

Assemble


Assemble – dragging and dropping fields


Assemble - Changing chart types


Assemble – Changing summaries


Assemble - Collected content

• Click and drag any of the collected

content into the dashboard


Assemble – manually adding a visualization


Assemble – Filtering a dashboard

Global filters

Local filters


Assemble – Styling and Properties


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Watson Analytics Template - NEDB2UG › sites › default › files › WA... · 2016-04-18 · •...

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