Transforming your marketing department with IBM Watson Analytics
Watson analytics
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Transcript of Watson analytics
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Time for bring your own analytics
SHEETAL SHARMA
Intern at IBM innovation Centre
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Watson Analytics
What is Watson Analytics?
Why Watson Analytics?
Features of Watson Analytics
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What is Watson Analytics
IBM Watson Analytics sets powerful analytics capabilities free so practically anyone can use them. Automated data preparation, predictive analytics, reporting, dashboards, visualization and collaboration capabilities, enable you to take control of your own analysis. You can then take the appropriate action to address a problem or seize an opportunity, all without asking IT or a data expert for help.
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Why Watson Analytics
Analysts say only a small fraction of business professionals use analytics tools as part of their decision making today primarily because the tools are - (i) too complex, (ii) hard to access, and(iii) require the skill set of a data scientist. Reason is clear because these analytical tools are not developed keeping business users in mind but technical people to develop customized solutions for end users.
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Why Watson Analytics
“The purpose of Watson Analytics is to reinvent that whole analytical experience and to help a businessperson, not a specialist, but to help a businessperson inform their decisions with better information and better insight.
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Why Watson Analytics
Watson Analytics also removes a lot of the barriers for business professionals around usability, getting and cleansing data, learning different analytical techniques and the cost. WA uses natural language to make interaction with powerful, predictive analytics easier with the ability to understand key questions, such as: What are the key drivers of my product sales? Which benefits drive employee retention the most? Which deals are most likely to close?
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Key Innovation Features
These are the four WA key innovations that enable business users to unlock the value of analytics at the same time reduce the skills required to engage in advanced analytic –
1 Self-service
2 Natural Language Dialogue
3 Single Business Analytics Experience
4 Stories
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Self-ServiceAs a business user, you can be completely self-enabled to conceive a need, to get the data, to analyze it, and to communicate the results all by yourself. Watson Analytics features the use of predictive analytics to surface key relevant facts and uncover unforeseen patterns and relationships. This process sparks new questions and better insight, directing users to parts of their business that matter most.
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Natural Language DialogueWatson Analytics speaks the language of business and people by enabling someone to simply type in what they would like to see. WA produces results that explain why things happened and what's likely to happen, all in familiar business terms. And as business professionals interact with the results, they can fine-tune questions to get to the heart of the matter.
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Single Business Analytics ExperienceUnlike today’s separate analytics tools designed for different kinds of analysis and data tasks, Watson Analytics is a seamless, unified experience that brings together a set of self-service enterprise data and analytics capabilities on the cloud. Business professionals identify their problem, and Watson Analytics can help them source the data, cleanse and refine it, discover insights, predict outcomes, visualize results, create reports or dashboards, and collaborate with others.
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StoriesThe stories are like templates to start you off on your analytics process. It could be things like campaign management for a marketing person; win-loss analysis for sales; employer retention for HR. These are pre-created examples that you can use just to learn what you might do, or use as a template for your own analysis if your business problem is similar.
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Business Case There are three TEXTILE companies.
1 Being Human
Other two are
2 Printo
3 Style
There are 15 clients of each company.
This clients are same for every company.
By WATSON ANALYTICS we can compare this 3 companies in respect to all fields of the data set.
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Contains of data tableIndustry
Client Type
Permanent
New Clients
Clients
Dens Suits Permanent Clients
Eastern Comp
Fashion Notes
Best Go
Aviator Ride
SamSun
Rio
Capssy
Kids Style
Stylo
Express Mastro
My Salfy
AntaZone
Jumbo Kids
Joys
Fabrics
Cotton
Wool
Silk
Jute
Synthetic
Total Expense
Total Supply(in lacs)
Power & Fuel Cost(in lacs)
Employee Cost(in lacs)
Selling and Admin Expenses(in lacs)
Other Manufacturing Expenses(in lacs)
Total income
Net Sales
Other Income
Stock Adjustments
Profit By Per Client
New Clients
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Front Page of Watson Analytics
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Sign up for the new user
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Sign in Page
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Load the Data or Connect to Source
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Drop the file or tap to browse
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Click on your data set, three options Exploration , Prediction, View
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Data , Data set & Data Quality When you load data into IBM® Watson Analytics, it becomes
available for analysis as a data set.
Watson Analytics assesses your data set for interestingness and quality. It then determines what you might want to analyze.
A data set is a collection of data from external sources that is in the form of a table of rows and columns.
1. Adding a new data setYou can add data that is in a .csv or Microsoft Excel file. If a Microsoft Excel file contains several worksheets, the first worksheet is added as a data set.
2. Cleaning your data to improve its qualityIBM Watson Analytics can provide better predictions and explorations if the quality of your data is high. If the quality of your data is low, the accuracy of the analyses in your explorations and predictions is less reliable. You can improve the quality of your data.
3. Optimizing the quality and usage of your dataWhen a data set is loaded, IBM Watson Analytics reads the data and assesses it for data quality. If the data quality score is low, you can improve its quality and usage so that your predictions and explorations are more accurate.
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Some Starting points for Exploration
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Add a new tap
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Chart
Clients
Filters
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Visualization Type
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Breakdown of-----
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Total Supply by 3 Companies
Present by
3 different
colors
Pin the
exploration
by click on
the symbol
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Other options
Add new
column
Change
the data
type
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Change the data type
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Select Stock Adjustment Expenses
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Type is number
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Change by Time Interval
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Add Filter
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Choose any Field
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Calculation , Data group & Hierarchy
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Calculations
Name1st field 2nd
fieldAdd more
operators
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Mathematical Functions
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Changes perform by add num & textSilk increment by 56
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Create GroupGroup
name
Select
Column
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Choose fields which want to include in group
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Selected clients
6 Clients
select in
permanent
group
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Hierarchy-shows root & node relationship
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Here Client is root &supply is leaf node
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Profit by per client
Pin the
exploration
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Area Chart-visualization option
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Column insert
Insert a
column
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Prediction
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Name
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properties
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Workbook property
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Up to 5 targets add
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Field Properties
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Versions
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Data Quality
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Click here
highly
predictive
strength
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Overall net sales shows in chart
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Values shows in Detail
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Statistical Detail
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Top Field Associations
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My Pins
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Change or add the target
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View all-show all the influences
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View-Create a Dashboard
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Create a dashboard
Name of
data set
Dashboard
types
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Write the query
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Profit by per client
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Insert in dashboard
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Supply by industries
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Compare b/w incomes of companies
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Dashboard Properties
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Create the Slide Show(BETA)
In pins we
store the
different
Fields ,so
drag any
to plan
board
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Drag
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Full Screen mode
Full
Screen
mode
option
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Conclusion Watson Analytics is the software which is
provide many features with easy use.
Here in textile business by this analytics I easily see and understand all the queries.
It shows relations b/w fields and also shows the information which Is helpful for future planning of business and as well as profit.
Most wonderful that if ones you know about it then in future you no need of any specialist . you can do your work your self.
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References
vmanoria.blogspot.com/
watson.analytics.ibmcloud.com