An User Guide of

A Self service, Cloud based analytics solution.

Automates data preparation, predictive analysis and visual story

telling for professionals.

Enable to navigate through data and understand the patterns to

make better decisions.

Powered by IBM’s Watson cognitive computing technology.

• Compared to Watson, Other 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.• 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..

Watson is more portable.

• 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?

1. Self-service

2. Natural Language

3. Single Business Analytics Experience

4. Stories

1. Self-service: As 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.

2. Natural Language – Watson 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,

3. Single Business Analytics Experience – Unlike 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.

4. Stories: The 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.

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.

1. Get better data. Data access, refinement, management and analysis

are automated and available from the cloud.

2. Get answers. Ask questions in the terms of your business, whether

you're in marketing, sales, HR, finance or operations.

3. Understand your business. Automated intelligence enables you to

draw conclusions based on what has happened and why.

4. Tell a story. Visualizations help you create clear and compelling

infographics to prove your point confidently.

5. Think ahead. Statistical analysis, correlations and predictions help

you see what is likely to happen and what you can do about it.

Before you start working in IBM Watson Analytics, there

are some basic concepts and information to be aware of.

Web browsers

IBM Watson Analytics supports Apple Safari, Google

Chrome, Microsoft Internet Explorer, and Mozilla Firefox.

Navigating to the Welcome page and to other capabilities

Logging off

There is no explicit logoff. To log off, close your web

browser window.

Saving your work

Predictions and views are automatically saved when you

create or change them. Explorations must be manually

saved.

Deleting an asset

You can delete data sets, predictions, explorations, or

views from the Welcome page.

Business ScenarioTell your story with : Watson Analytics

Click on Add Drop your file here

Explore the disk partition and then click on your .csv file

By clicking on Filter, can explore only either :

1. Data sets2. Explorations3. Predictions4. Views5. Tutorials and samples

Either:1. Alphabetically2. Based on

modification

Click on Data Set you want to explore further and select exploration option.

OR

Click on Explore option, visible at Welcome Page.

Exploration window appears:

1. You can search Data Set, want to explore.

2. Either choose from list given below with name, data quality and date along with data set.

3. Then Click on that data set.

1. Type your query in natural language to explore data set.

2. Create new Exploration.

3. Also some starting points given for reference .

•Type your query in search box It somehow suggests all related questions, choose one you desire to refine.

•Below it shows the all solutions based on the relevancy (very relevant OR somewhat relevant).

•Click one you want to explore further.

Graph (Tree map) appear that shows profits (sums) against the catering name.

1. Adding Row as Client type results the records of caterings according to client type (fig 1st)

1. Adding Column as City results the tree map drawn for catering name along with cities also.

For changing the visualization, available types are:

1. Grid2. Area3. Bar4. Bubble5. Line6. Pie E.g.:1. Pie chart

Visualization Type:Pie Chart

Visualization Type:Grid

Visualization Type:Area

LINE CHART:

Tree map Heated by catering name according to number of records , such as by clicking Indore city, shows transport expense (sum) and catering name (=1 record ) appears.

1. Click on Actions option at bottom.

2. Columns and create a new column option appear.

3. Also the Calculation, data group and hierarchy options available.

4. Click on first option Calculation.

1. Calculation window appears.

2. Name first box (it can not be empty) in order to create a new field.

3. For instance we name it as total expense.

4. On the right hand side ,perform the calculation over existing columns.(shown in image)

5. Click Done.

Total expense column created.

1. Click on Bar at bottom , it shows the whole data table.

2. By clicking on, one of the field small window appear to set condition and other actions.

3. Click on dotted bar.

1. Small window appear.

2. change the type from number to other.

1. Click on aggregation option.

2. Small window appear.

3. change the aggregation from sum to other listed options.

Click on one of the field, you want to tear down into the different group.

Click on data group option.

small window appear.

E.g. for Brand field, out of the four brands we select 3 brands and left the takeaway.

Name the new group as grp1 and click ok.

New field as grp1 will now can be used for all other actions to perform in WA.

When Click on Hierarchy option, a small window appear.

Name it as hr1 for instance.

Click on Add level.

Select one of the field .

Click on Add level.

Click on Done.

Select column as hr1 in hierarchy.

Breakdown of profit by client type tree map appear.

Click On predict option available on welcome page .

2. Select your data set, want to further predict.

1. PredictionWindow appears.

1. Name your workbook.

2. Select the target(s) to predict.

3. Create prediction.

Top predictors of profit associated with one field appears as a Bull eye chart.

Top predictors of profit associated with two fields appears as a Bull eye chart.

Top predictors of profit associated with combination of fields appears as a Bull eye chart.

1. Click on View All

2. Different Influences of profit appears as heat map charts.

1. Click on Edit.

2. Change Current targets by adding newtarget.

3. Click on Accept.

Such as: Top predictors of Brand associated with two fields as a Bull eye chart.

1. Click on Heat map.

2. Main insight and Details of corresponding Heat map appears.

3. Such as : Client type influences with predictive strength of 100% are city and equipment expenses.

can also Pin chart

Click on Details for Heat map corresponding to different cities.

1. Click On Top field associations.

2. Top field associations window appears.

1. Click on one of Top field associations.

2. Window appears with Overview , Main insight and Details tabs .

3. Such as for City and Client type that are strongly associated.

1. Click on Action option on top.

2. Workbook,Field,Data Representation and versions options appears.

1. Click on data quality option.

2. For gloris.csv ,Data quality score is 94 (High quality).

3. Data quality by fields also showed for particular field observation.

4. Such as: for Brand, no missing values and categories are 4.

1. Click on Field properties option .

2. For gloris.csv, all fields of data listed at left side.

3. Select one of the field. Also can sort them on basis of Role, Label and interestingness.

4. Such as: for City the Bar chart of different cities and its Role as input appear.

1. Click on Field properties show more option.

2. It shows the measurement level of field.

3. Option to assign the values of field as missing values showed below the measurement level option.

4. Below missing values, option to assign the values of field as Label showed also.

All pinned PredictionsCan be seen in My pins option on the very top

Click on Assemble option Present at welcome page to create a new Dashboard to tell your story in more systematic way.

1. Name your view 2. Select a template3. For instance, we choose

Single page form dashboard.

4. Choose one of the Layout .

5. Click Create.

Drag the Exploration, charts or predictions from saved pins at My Pins to the Layout by cursor.

OR search in the given box above for desired result.

Use the data set you indented to use.

1. click on Action option on top.

2. Color palettes and Bar Color options are available in visualization details .

3. Select one of the palette.

1. Name your view 2. Select a template3. For instance, we choose

Tabbed form dashboard.4. Choose one of the

Layout .5. Click Create.

Drag the Exploration, charts or predictions from saved pins at My Pins to the Layout by cursor.ORSearch in search box for indented result and adjust them at layout accordingly.

1. Change Themes by clicking on Action option on top.

2. Default , Light and Dark themes appear.

3. Select one of the theme. E.g. we choose Light theme.

1. Name your view 2. Select a template3. For instance, we choose

Infographics form dashboard.

4. Choose one of the Layout .

5. Click Create.

Drag the Exploration, charts or predictions from saved pins at My Pins to the Layout by cursor.ORSearch in search box for indented result and adjust them at layout accordingly.

1. Name your view 2. Create your Story.3. Choose one of Slide

show Layout.4. Click Create.

Drag the Exploration, charts or predictions from saved pins at My Pins to the Scenes by cursor.ORSearch in search box for indented result and adjust them at layout accordingly.

Can see the slide show in full screen mode.

Play the slideshow

Play the slideshow

1. Here with help of Watson Analytics , we can predict the driving factors

of our Business .

For instance profit of Catering business influenced with Equipment

Expenses, City and number of clients more compare to other factors ;

Such as for city Delhi and Mumbai the profit of company is highest.

2. We have concluded the strong correlation between the fields of data

set such :

City and Client type are strongly correlated, also profit and

organization revenue are also positively correlated.

3. Analysis of Data Set provides the useful information Such as: Top

Clients by profit are

politicians , Top Brand is Takeaway by profit gain.

4. Top catering is Neon by profit gain and for Equipment Expenses Lorra

company is lowest ranked.

5. Data Quality of Data set can also be observed such in regards to

gloris.csv data set, the quality is high and there is no missing values

1. AnalyticsZone from IBM : http://www.ibm.com/analytics/watson-analytics/

2. Business Analytics Blog by Vikas Manoria

3. Forbes.com for Watson Analytics Beta