WELCOME TO WATSON ANALYTICS

Business Scenario

Today Our Case Study Based On Shopping Portal. Our Case is like that -

Three Shopping Portal Myntra Flipkart Snapdeal

Under these Product Category & Product Sub-Category.

What to Conclude ?

Profitability ? How to reach upto more customer / Business

expansion ? Position in Market ? Need of Improvement ?

What is Watson Analytics ?

IBM® Watson™ Analytics is a cloud-based data discovery application that enables you to independently navigate through your data to understand new patterns and make better decisions. Engage with your information through natural language and interactive visualizations to get new perspectives on your business.

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.

Why Watson Analytics ?

Get better data - Data access, refinement, management and analysis are automated and available from the cloud.

Get answers - Ask questions in the terms of your business, whether you're in marketing, sales, HR, finance or operations.

Understand your business - Automated intelligence enables you to draw conclusions based on what has happened and why.

Tell a story - Visualizations help you create clear and compelling infographics to prove your point confidently.

Think ahead - Statistical analysis, correlations and predictions help you see what is likely to happen and what you can do about it.

Resource

https://watson.analytics.ibmcloud.com/

Our Data - OnlineShoppingPortal

How To Import / Upload Data ?

You can add data that is in a comma-separated values (.csv) or Microsoft Excel spreadsheet (.xls or .xlsx) file.

On the Welcome page, tap Add.

In the Add your data area, add your data set.

After import dataset, it shows on the welcome screen with dataset quality.

How To Import / Upload Data ?

Data Set Exploration

Click on the Data Set i.e. OnlineShoppingData. You get Pop-Up window, then click on Exploration.

Data Set Exploration

Or as a alternate way, You click on the Explore On click get pop-up window, then choose your

desired dataset.

Data Set Exploration

As a Start-up, Watson Analytics suggest some starting points.

Data Set Exploration

OR you may use search box to type in Natural Language. i.e. Here I want to explore dataset according to Revenue by Product Category.

Data Set Exploration

Viewing Underlying Data -

The data grid shows you all the rows and columns that are available for you to analyze. You can view the data grid either before selecting a starting point or when you are exploring the visualization.

Tap to show the data grid.

To hide the data grid, tap the Data grid icon again.

We can check the quality of each column in a grid by click on data matrix icon.

We can customize any column by Tap particular column that properties want to change. Then Tap

Data Set Exploration

ok

Data Set Exploration

You can focus on points that are of interest to you by changing the data that appears.

i.e. Here I want to add two column Online Website & SubProduct Category in my chart.

Tap Visualization data icon Tap to add a new column & navigate for

SubProduct Category. Tap Done and then tap Close to see the legend again.

Data Set Exploration

You can focus on points that are of interest to you by changing the data that appears.

i.e. Here I want to add two column Online Website & SubProduct Category in my chart. Tap Visualization data icon Tap to add a new column & navigate for

SubProduct Category. Tap Done and then tap Close to see the legend again.

Data Set Exploration

Data Set Exploration

We improve output by suppress missing rows & categories. Right-Click on Product Category. Click on suppress missing

then click on series.

Using Different Visualization Type -

Visualizations communicate comparisons, relationships, and trends. They emphasize and clarify numbers. To choose a visualization type, consider what you want the visualization to illustrate and what will appeal to the audience for the visualization.

Tap at bottom right-side. Tap the visualization type that

you want to use.

Data Set Exploration

Data Set Exploration

Bar - Use a bar visualization to compare values by one or more columns, such as sales for products or sales for products each month.

Bubble - Use a bubble visualization to show relationships among columns that contain numeric values, such as revenue and profit.

Line - Use a line visualization to show trends over time.

Area - Use an area visualization to emphasize the magnitude of change over time.

Categorical - Use a categorical visualization to visualize the relationship between numeric columns.

Pie - Use a pie visualization to highlight proportions. Each slice shows the relative relationship of each part to the whole.

Data Set Exploration

Tree map - Use a tree map visualization to identify patterns and exceptions in a large, complex data set.

Map - Use a map when you want to see patterns in your data by geography.

Grid - Use a grid when you want to see the data in rows and columns.

Data Set Exploration

You can also customize the look of visualization.

Tap

Choose the options that you want to change.

Tap OK

Data Set Exploration

Data Filtering -

If I want to see the data for the particular shopping site (like Myntra) instead of all, at that time we use filters.

Tap then select the column that want to filter. i.e. online website.

Deselect all fields except desired. i.e. deselect Filpkart and Snapdeal.

OR right-click, a part of the visualization, such as a bar or line.

Complete one of the following actions:

Tap Keep to keep the selected item. Tap Exclude to hide the selected item in the visualization

Data Set Exploration

Tap save button to save the Finalize Chart 1.

Chart 2 - Now I want to explore data according to gross profit & profit percentage.

Tap to add a new page at bottom.

In search box type Gross Profit by Product Category & OnlineWebsite.

Data Set Exploration

Create HierarchyA hierarchy helps you navigate through large amounts of data. For

example, you have data about the sales of Mobiles by a Shopping site. When the data is organized into a hierarchy, it is easier to find information about mobiles by navigating from products to Product Category to SubProduct Category. You also gain new perspectives about your data as you drill up and down the hierarchy.

Tap and Tap Hierarchy.

Enter a name for the hierarchy i.e. products in our case

To add the column that will be the highest level of the hierarchy, tap Add level and select the column. Repeat to add the other levels of the hierarchy.

Data Set Exploration

i.e. first add Product Category & then SubProduct Category. After these it look like that -

Tap Done. Now new columns Products is added in dataset.

Data Set Exploration

Create Calculations -

Calculations are important to solving problems and making decisions. When you create a calculation, it is added as a column in your data table that you can add to a visualization. i.e. create a calculation for Profit %

Tap and Tap Calculations.

Enter a name for the calculation, i.e. Profit %.

Tap A and complete one of the following:

Tap Column and choose a column from the available data. Tap Function and choose a function to use. Tap Number or text.

Data Set Exploration

Tap A and navigate to Gross Profit Tap '+' symbol & navigate to '/' Tap B and navigate to Total Actual Cost. Tap '+' and navigate to '*' Tap C and select Number or Text & Type 100. Then Tap Done.

Data Set Exploration

Now come back to chart 2 & Customize it. Change visualization type to tree map by click on Now tap In Hierarchy – add products Rows – Online Website (Filter to Myntra) Size by – Gross Profit Heat by – Profit %

Data Set Exploration

After customize it is like that -

Finalise & Save it.

Data Set Exploration

To see profit % & Gross profit of mobiles, washing machine etc. under Electronics sections.

Right click on Electronics & then tap Go down.

Data Set Exploration

Chart 3 – To know the profit share of every website in the market.

Tap New page & In search box type type Profit % by Online website.

Select 1st option.

Change the visualization type to Pie.

Data Set Exploration

Save it.

Data Set Exploration

Watson Analysis always give some suggestions in upper bar related to what you search for. If these fulfill your requirement then you just click on that & open in a new page & save it.

Data Set Exploration

You can view all pages at the same time, making it easier to delete the one that you want.

To view a thumbnail of each page, tap

To delete a page, tap

To view one page at a time, tap

PREDICTION

In the Predict component, the predictions that Watson Analytics delivers include visualizations and text descriptions of analyses that are based on your data quickly and efficiently.

Using sophisticated algorithms, Watson Analytics decides which analyses are important and generates both visualizations and words to describe those analyses. You can use the visualizations to see the analyses at a glance and read the text for supporting explanations and statistical details.

PREDICTION

Before you create a prediction, ensure that the data source that you want to analyze is available on the Welcome page. If it isn't there, import it.

On the Welcome page, tap Predict.

Choose a data set from the table in the Create a Prediction box. i.e. OnlineShoppingPortal

In the Create a Prediction page, enter a name for your prediction in the Name your workbook field. i.e. PortalPrediction

Review the targets. The targets are the fields of interest. They are fields that are influenced by the other fields in the data set. The data set defines the default targets and field properties.

PREDICTION

If a target is not a field of interest, tap its delete icon for a target to remove it.

Tap Select target to add targets. You must have at least one target for your prediction. You can have up to five targets. i.e. GrossProfit

Tap Create Prediction.

PREDICTION

PREDICTION

Under target tap edit to add more field.

i.e. Total Actual Cost, Units Sold

PREDICTION

From that select the desired chart & pin it. Here I am using 4th Chart. Click on it & Pin.

PREDICTION

Follow the same procedure for Units solds & the output is -

PREDICTION

Click on Top Field Association to analyze the bonding between different field of dataset. Or You may click on any chart to take under consideration if it fulfills your need.

Assemble

The Assemble capability helps you to convey the analysis and insights that you discovered in Predict and Explore.

There are two types of views that you can assemble: stories and dashboards. A story or dashboard contains visualizations. A visualization is a graph, chart, plot, table, map, or any other visual representation of data.

You can add visualizations to your view in the following ways:

Reusing visualizations from existing explorations and predictions.

Creating new visualizations from columns in a data set.

Having IBM® Watson™ Analytics create a visualization for you by answering a question or intention that you pose.

Assemble

On the welcome page, tap Assemble

Select a dataset from the table in the Create a View box. i.e. OnlineWebsitePortal.

Enter the name of Dashboard. i.e. ShoppingPortalDashboard

Types of dashboards include single page, tabbed, and infographic.You can assemble the following types of dashboards:

Single page - Displays all of your visualizations on one page.

Tabbed - Separates your visualizations into categories or hierarchies. For example, you can create separate tabs for sales by country, region, and total sales.

Infographic - Conveys information with lots of pictures. An infographic is one long page that you scroll through.

Assemble

Assemble

Assemble

Dashboard Properties – You can customize your dashboard with the help of dashboard properties.

Assemble

Data Assets Properties -Select any of the chart on Dashboard page.Then click on properties to customize chart.

Single Page Dashboard

Tabbed Dashboard

Infographic

Conclusion

Now You Know - Profitability How to reach upto more customer / Business

expansion Position in Market Need of Improvement