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The standard narration text is :

“After completing this lesson, you will be able to:

<Outline …>

<Define …>

<List …>

<Explain…>

<…>

SAP Visual Intelligence is our latest innovation in the SAP BusinessObjects

Explorer solution family.

It is a desktop-based visualization and data manipulation solution that allows

business users to acquire data from a variety of corporate and personal data

sources and manipulate data without any scripting. Users can then analyze this

data, with beautiful visualizations, quickly discovering unique insight that can be

easily shared, shaping and driving the business faster than ever before.

With SAP Visual Intelligence:

• Consume data the way you process thoughts: fast, interactive, and visual

• Connect, access and visualize data without a single line of code

• Get real-time answers on any volume of data

• View the big picture and drill down to details

• Share your findings instantly with others

SAP Visual Intelligence allows business users to acquire, manipulate, analyze,

and visualize data from corporate and personal data sources to discover and

share insights.

The solution inspires your business by providing the fastest, most engaging

way of discovering answers from any data, through an interactive and visual

experience

SAP Visual Intelligence is used by Analysts and Business Users to:

Acquire, combine, and manipulate a variety of corporate and personal data

sources without reliance on IT

Enhance data by merging, cleansing, calculating, and easily adding

geospatial and time hierarchies

Analyze and visualize data on the fly and creating compelling, engaging,

intuitive visualizations and share insights with others

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SAP Visual Intelligence allows you to:

Acquire data from a variety of corporate and

personal data sources

Access real time on massive volumes of detailed data with native access to

our in memory solution

Merge, correct, manipulate, and perform calculations without scripting

– Duplicate, rename, split, and remove columns

– Find and replace, trim data, change case, and group data

– Quickly create complex formulas and running calculations

Easily enhance data with time and geographic hierarchies

Intuitive data exploration and visualization tools to automatically design a

variety of powerful charts

Add overlay charts to display geographical

visualizations, such as pie charts on a map

Save and share visualizations with others

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SAP Visual Intelligence can import data from a variety of sources including

CSV, SQL, HANA, and Microsoft Excel.

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Users can import data from multiple data sources and put them into a single

view. Users can merge data from the different data sets based on values

common to both data sets.

<click>

In this example both data sets include the common Customer_ID column. This

allows the analyst to add the Customer Name column to Fact table data set.

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When you import and work with a data set, SAP Visual Intelligence identifies

potential semantic enrichments. Semantic elements for the data set are

displayed in the bottom left corner.

<click>

Users can click the show button to view a dialog box which displays

recommended enhancements. In this example Net_Sales and Gross_Sales

should be converted into measures. The Date column can be converted into a

Time Hierarchy. If a Geo field is detected, Visual Intelligence can also add a

geographic hierarchy.

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SAP Visual Intelligence allows business users to easily manipulate data with

built in tools.

Users can quickly and easily convert data to lower or upper case, <click>

Find and replace values, <click>

Fill column data with leading or trailing characters to make values a consistent

length,

Or remove leading & trailing characters.

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SAP Visual Intelligence allows users to find and replace values in a column.

In this example Sporttek is selected in the Customer Name column. The find

and replace manipulation, highlighted on the right, will change the company

name.

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SAP Visual Intelligence also allows users to treat two or more unique values as

a group, where each record in the group is assigned the same value for

analysis.

This can be useful in a variety of situations.

In the example shown in the image on the right both Tektabuy and ThinkSmart

are selected in the Customer Name column. Using the group values feature, all

data from both of these customer names can be treated as a single customer

with the name “ThinkSmart”. This would be useful after ThinkSmart acquired

Tektabuy, and allows an analyst to combine data from both companies for

analysis.

Another use case would be to deal with data entry or spelling variations. Data

entry errors can be corrected using find and replace in some situations, but in

other cases such as legitimate spelling variations, the Group Values feature can

be used to treat the values the same.

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Users can quickly filter data to select specific values or ranges of values in

Data View by clicking the filter button in the top left of each column. Data can

also be easily sorted and formatted

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Users can easily duplicate, rename, or delete columns. They can also create

new columns using formulas or functions. This functionality allows analysts to

combine data from two or more columns into a single column value, extract part

of a column value, and perform calculations on values such as calculating a

discount or tax.

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This slide shows a simple example of a calculated column in which the

LastWord function is used to extract the quarter from the Year_Quarter column.

Formulas can be typed in the formula textbox or users can click the function

button to view a list of available functions.

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The button on the right of the formula bar is used to expand or collapse the

Help Box, which provides in context help about how to use the selected

function.

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The toolbar in the top left corner of the screen allows users to switch between

Data View, Visualization View, and a Split view.

This screenshot shows the Data View.

<click>

In Data View, the user can use the full screen to view the data set. The Object

picker on the left, and Manipulation tools on the right are collapsible.

<click>

The Data View can be displayed as a Grid or as Facets.

Grid shows the column values as they appear in the data set. The same value

may appear in multiple rows, as it would in the source data set. In this example

the same categories, tennis, golf, etc. are repeated multiple times.

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In Facet mode, users can see the unique data values on the left and

aggregates on the right for each column of data.

For example, there are four unique values in the Category facet. The category

names are listed on the left. The value on the right is an aggregate. In this

case it shows that the number of records in each category.

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The Visualize View allows users to use the full workspace to design visual representations of the data. In this example a Stacked Column Chart displays sales by category for each year and quarter. <click> SAP Visual Intelligence includes a variety of charts to effectively visualize any kind of data including column and bar charts, line and area charts, pie charts, scatter and bubble charts, tree maps, heat maps, radar, box plot, waterfall charts, and tag clouds. Click the link on the bottom of the slide to learn more about the different types of charts and their uses.

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Analysts can also create trellis charts in SAP Visual Intelligence.

To set up a trellis chart, users simply drag dimensions into the Column By and

Row By fields highlighted in the screen shot.

This slide show a pie chart for each year and quarter, with the quarters

displayed By Column and the years displayed By Row.

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Split View allows the user to split the screen between a Data View and a

Visualization View, including both on the screen at the same time.

Users can click and drag to adjust the view devoting as much or as little screen

real estate to the visualization as they need.

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SAP Visual Intelligence is an IT approved solution.

With SAP Visual Intelligence, business users and analysts

can self-service their own data discovery, exploration and

visualization needs, with no need for IT to create predefined

queries, reports, or dashboards. With very minimal end user training required,

IT can address their reporting backlog, by allowing business users to answer

their own questions with an easy to use solution.

With SAP Visual Intelligence users can connect to enterprise BI and

leverage existing data, security, and administration services, including a single

metadata umbrella for trusted information.

The SAP BusinessObjects BI platform is very secure, with an IT-sanctioned

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security model and single sign-on, and content management – version control,

promotion and rollback. It’s also simple to manage and scale with 1 unified

platform to deploy and administer, and proven scalability without operational

disruptions

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SAP Visual Intelligence is part of a complete portfolio of business intelligence solutions. SAP BusinessObjects Explorer and SAP Visual Intelligence are tools for data discovery. In addition, SAP offers business intelligence clients for analysis, dashboards, reporting, and predictive analytics. Discovery is focused on analysts and users within lines of business and departments. This category allows users to acquire, cleanse, and visualize data with minimal end user training. These tools provide powerful faceted exploration and navigation. Solutions in this category are a great fit for in-memory data source such as HANA allowing users to go anywhere in the data. Analytical workflows are the main focus of solutions in the Analysis category, but some layout is available. These tools are designed to take advantage of modeled multi dimensional sources such as HANA & BW, and data in Microsoft SQL Server Analysis Services. Solutions in this category are designed from the ground up as OLAP clients, and are the best solution for projects with demanding hierarchical navigation requirements. The Dashboards category focuses on the needs of IT and Developers to create and deploy interactive, visual dashboards. Unlike discovery and analysis, the dashboards are typically built for others to consume using highly visual layout tools. Next we move into the familiar Reporting category. Both SAP Crystal Reports and Web Intelligence are focused on the mass distribution of formatted data, with the primary difference being the report design experience. Crystal Reports uses a desktop based report designer, while the primary Web Intelligence design experience is over the web. Both solutions allow for scheduled reports or on-demand reporting.

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Finally we have the Predictive category. The solutions in this category include

SAP Predictive Analysis.

Our Analytics portfolio also includes solutions for Enterprise Performance

Management, Governance Risk and Compliance, Analytic Applications and

Rapid Deployment Solutions. Our business intelligence and Analytics

solutions are integrated with our line of Application, Cloud, Mobile, and

Database & Technology offerings.

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Top differentiators for SAP Visual Intelligence include:

• Data acquisition without reliance on IT – Users can acquire and combine data from

enterprise and personal sources in a repeatable, self-service way without the help of IT.

• Data manipulation without reliance on IT – Users can enhance data using semantic

enrichment (such as adding geo-location and time dimensions) and automated

transformation workflows in a repeatable, self-service way without IT’s help, and

• Instant visualization on any volume of data – Visualize any amount of data in real-time with

SAP HANA; no data acquisition required!

With Visual Intelligence organizations can:

Eliminate bottlenecks by providing analysts with

the tools they need to examine and investigate

departmental data

Visualize the big picture, drill into the details, and

present data in intuitive charts, and get

Faster time-to-value with a reduced learning

curve

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<skip slide>

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SAP Visual Intelligence offers the ability to identify and categorize data into

measures and apply semantic enrichments to create hierarchies. Adding

hierarchies to your dataset enables you to easily group and drill down through

your visualizations.

In this tutorial, you will categorize and add time and geographic hierarchies to

your dataset.

http://www.sdn.sap.com/irj/scn/index?rid=/library/uuid/50193875-94a7-2f10-

05bd-e9c87b44ab87&overridelayout=true

SAP Visual Intelligence’s manipulation tools offer a quick and intuitive way to

edit and cleanse local datasets such as Excel and CSV files.

In this tutorial, you will use the manipulation tools to split and rename columns,

replace misspelled values, trim leading and trailing spaces, and group related

records.

http://www.sdn.sap.com/irj/scn/index?rid=/library/uuid/d0768c51-90a7-2f10-

27af-ae5742b7f321&overridelayout=true

SAP Visual Intelligence offers the ability to identify and categorize data into

measures and apply semantic enrichments to create hierarchies. Adding

hierarchies to your dataset enables you to easily group and drill down through

your visualizations.

In this tutorial, you will categorize and add time and geographic hierarchies to

your dataset.

http://www.sdn.sap.com/irj/scn/index?rid=/library/uuid/50193875-94a7-2f10-

05bd-e9c87b44ab87&overridelayout=true

You can merge the contents of two local datasets, provided they share a

column that contains the same data.

In this tutorial, you will merge the eFashion and Branch datasets.

http://www.sdn.sap.com/irj/scn/index?rid=/library/uuid/e04da127-91a7-2f10-

cf8e-ad811c442e70&overridelayout=true

SAP Visual Intelligence provides a broad selection of chart families and types

that you can use to create visual representations of your dataset.

In this tutorial, you will create visualizations using different chart types, and then

apply sorts, add calculations, and save the visualizations.

http://www.sdn.sap.com/irj/scn/index?rid=/library/uuid/900050d6-8fa7-2f10-

0fa5-a9404a2c28f4&overridelayout=true

SAP Visual Intelligence offers the ability to identify and categorize data into

measures and apply semantic enrichments to create hierarchies. Adding

hierarchies to your dataset enables you to easily group and drill down through

your visualizations.

In this tutorial, you will categorize and add time and geographic hierarchies to

your dataset.

http://www.sdn.sap.com/irj/scn/index?rid=/library/uuid/50193875-94a7-2f10-

05bd-e9c87b44ab87&overridelayout=true

For more information on topics discussed in this training, see the references

listed here.

Thank you for attending this lesson.

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