Time for bring your own analytics

SHEETAL SHARMA

Intern at IBM innovation Centre

Watson Analytics

What is Watson Analytics?

Why Watson Analytics?

Features of Watson Analytics

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.

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.

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.

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?

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

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.

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.

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.

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.

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.

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

Front Page of Watson Analytics

Sign up for the new user

Sign in Page

Load the Data or Connect to Source

Drop the file or tap to browse

Click on your data set, three options Exploration , Prediction, View

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.

Some Starting points for Exploration

Add a new tap

Chart

Clients

Filters

Visualization Type

Breakdown of-----

Total Supply by 3 Companies

Present by

3 different

colors

Pin the

exploration

by click on

the symbol

Other options

Add new

column

Change

the data

type

Change the data type

Select Stock Adjustment Expenses

Type is number

Change by Time Interval

Add Filter

Choose any Field

Calculation , Data group & Hierarchy

Calculations

Name1st field 2nd

fieldAdd more

operators

Mathematical Functions

Changes perform by add num & textSilk increment by 56

Create GroupGroup

name

Select

Column

Choose fields which want to include in group

Selected clients

6 Clients

select in

permanent

group

Hierarchy-shows root & node relationship

Here Client is root &supply is leaf node

Profit by per client

Pin the

exploration

Area Chart-visualization option

Column insert

Insert a

column

Prediction

Name

properties

Workbook property

Up to 5 targets add

Field Properties

Versions

Data Quality

Click here

highly

predictive

strength

Overall net sales shows in chart

Values shows in Detail

Statistical Detail

Top Field Associations

My Pins

Change or add the target

View all-show all the influences

View-Create a Dashboard

Create a dashboard

Name of

data set

Dashboard

types

Write the query

Profit by per client

Insert in dashboard

Supply by industries

Compare b/w incomes of companies

Dashboard Properties

Create the Slide Show(BETA)

In pins we

store the

different

Fields ,so

drag any

to plan

board

Drag

Full Screen mode

Full

Screen

mode

option

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.

References

vmanoria.blogspot.com/

watson.analytics.ibmcloud.com