Data Visualization - KPN - Tools v1.3

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Data Visualization (DV) tools

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| ©2012, Cognizant

Facts on Data Visulaistaion
The Data Visualization Market recently reached 1 billion dollars in size Growing faster than any other software market, including traditional Business Intelligence (BI) tools. Among Data Visualization Leaders we mention three important players:


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Tableau Software
Spotfire Qliktech

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Tableau

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Tableau - Features
• The fastest growing Data Visualization Vendor (113.5% Year-over-Year growth in 2010) • Tableau is an excellent Q&A tool which is very well designed and suited for non-technical users. It is powerful, easy to use, highly visual and aesthetically pleasant • Has best access to OLAP cubes and best Pivot Control among DV vendors • Recent Tableau release has a capable and fast in-memory (64-bit) data engine and ability to perform incremental data updates • Ability to distribute Data Visualizations and Interactive Visual Reports without Server involved with the help of free Desktop Tableau Reader • State-of-art data visualization makes Tableau outstanding in the crowd of BI suites • Ability to connect to SQL Server Analysis Services (SSAS) Cubes and to local PowerPivot multidimensional Cubes

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Tableau - Advantages
• • Provision for Geo maps: Maps is one of the strongest features of Tableau. It offers excellent mapping functionality which includes regularly updated maps and complimentary information (e.g. population or income) licensed from 3rd parties (with no additional costs for customers) Statistics: Tableau 7.0 provides enhanced statistical capabilities to enrich user analytics and make visualizations dynamic and powerful. Connectivity to multiple data sources: It has richest set of data connectors and adaptors among DV leaders. It offers the user the ability to connect simultaneously to multiple data sources. The idea is that the user knows the data (and how it relates) well enough to perform these kinds of tasks – but the user can act quickly to select the data sources they want and combine them as he or she sees fit. The Data connection menu is intuitive in the sense that it has three options for connecting to a table: One, Multi, or Custom SQL. In practice, Custom SQL seems to be the preferred method, as Multi doesn’t function as expected Mobility: Tableau introduced new, touch-optimized capabilities for users consuming visualizations on their iPad. Tableau builds on those capabilities with enhanced performance for loading your visualizations, deeper interaction through selections and pan/zoom, and improved quick filter performance and interactivity. Dashboarding flexibility: Tableau allows for individual grids/graphs to be placed in a single dashboard, and global controls (i.e. selectors) are immediately applied to all relevant targets Distribution mechanism: Tableau Reader enables excellent server-less distribution of all Data Visualizations, Users can immediately publish to the Tableau server without requiring a hand-off to admin/ops staff Prototyping & What-if-Analysis: Simplifies a quick way for novice users to prototype relatively polished reports or what-if types of analyses Time and Location Dimensions: These dimensions can be treated differently for efficient analysis. For instance location dimensions can easily be used for maps and spatial analysis. Time dimensions should be treated differently as well because almost in all cases information is relevant only in specific time context. Customizable metrics: Can create highly customizable user-defined metrics using the in-tool library of functions Ordering: Column/Row headers can be re-ordered on the fly Portability: Users can immediately publish to the Tableau server without requiring a hand-off to admin/ops staff Strong capability to use SASAS Multidimensional as Source and built Data Visualization with it
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Tableau - Disadvantages
• Performance: Performance is not something that Tableau is ready to boast about. Calculation in-memory engine is much weaker and far not so sophisticated. • Advanced authoring: Tableau makes bet not on syntax and scripting but on various settings and actions performed via user interface. For instance making objects (charts, tables, text labels) appear or disappear depending on some parameter (variable) is actually a hack in Tableau. In case of Tableau you will need to learn these hacks and tricks from someone else. Because sometimes it's near to impossible to understand logic behind them without help of more experienced developer. • Use of screen estate: Tableau does not offer easy management of object visibility which allows making dashboards very information rich. Having 10 quick filters on Tableau dashboard will most probably make it completely cluttered and barely usable. Also such thing as in-line mini charts simply doesn't exist in Tableau.

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Tableau Experience @ Large Online Market Place
About Client
 Diversified technology company that provides a global trading platform  Buyers have the option to purchase items in an auction-style format or items can be purchased at a fixed price  Offers a wide variety of educational tools, features, and services that enable members to trade buy and sell on the site quickly, safely, and conveniently  Key Business Strategy Themes: Create Customer Trust, Improve Customer Experience, Increase Customer Loyalty

Client Situation
The client being an online marketplace wanted to analyze the users behavior to the changes made to the pages to the site. This required generation of reports. The client was looking for a full- fledged Business Intelligence Layer that met the following requirements: A solution that comes with Lesser time to Market (TTM)  Lower Total Cost of Ownership  Individual grids/graphs to be placed in a single dashboard, and global controls (i.e. selectors)  Easy to create and deliver dashboards.

Cognizant Solution
Engagement Highlights  Cognizant performed Tool evaluation to find the best-fit for clients requirements. Tableau was evaluated as the best fit in clients context  Extracted the raw data from the experimental platform and providing business reports using Tableau platform to the users via Visualization tool hence reducing time to market component.

Client Benefits
 Ability to quickly define & develop the required metrics/reporting on top of available data. (Able to develop reports in less than a week’s time with prod deployment)  This aided client’s research and development for the quick changes & Innovative visualization keeping the cost factor under control.

 Best in class visualization.
 Easy to learn/Adopt for business users.

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Sample Dashboard View

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Tool Competency | Tableau
 40* People; 3* Projects
* As of Aug, 2012

• BI environment Assessment / Tool Evaluation
• Tableau Implementation • Report migration to Tableau Platform • Performance Investigation and Tuning • User Enablement Services

• POC development • Dashboard Configuration and Customization

Competency Profile

Representative Experiences Case 01 – leading e-commerce firm Case 02 – a leading technology firm Case 03 – a leading credit card company

 Helped the client observe user’s behaviour to changes on the site pages and test the performance of various marketing decisions and experiments  Reports were generated directly from Teradata Datasets to Tableau Reports. The reports were exposed via portal to the user base.  Once the experiment proved positive, site changes were done to handle 100% traffic and metrics for monitoring the system were provided from BI reporting tools.



Minimize the manual effort spent on data pull from Teradata database by automatic report generation using Tableau Tableau generates dashboards with the power of visualizing complex analysis on millions of records at once Tableau helped in making key business decisions by performing on-the-fly calculations with comparative visual analysis



Currently working on a POC to analyze the usage pattern across different segments Travel pattern, car rental pattern and dining pattern analysis across different geographies are linked to create a merchant cluster









Create Decision Tree using Tableau Visualization and analyze the campaign responses across different segments to perform targeted marketing

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Case 03 - Visualization Tool | Tableau
Tableau Data Visualization Experience @ Leading Online Retailer Client Situation Cognizant Solution
 Cognizant aided client’s experiment by using raw data from experimental platform and providing business reports to user via Visualization tool hence reducing time to market component  Reports were generated directly from Teradata Datasets to Tableau Reports. The reports were exposed via portal to the user base  Once the experiments proved positive results, the site changes are done to 100% traffic and long run metrics for monitoring the system are provided from BI reporting tools.  This aided client’s research and development for the Innovations keeping the cost factor under control

 Client being an online market system, abundance of data is available to make proper business decisions.  One of the case involved launch of page on site and observe user’s behavior to its changes. Most of these experiments are short lived.  While reports need to be generated to understand the user behavior to test the performance of experiments, building a fully fledged Business intelligence layer to meet the short lived experiment can prove to be expensive

Key Highlights: Database: Teradata Projects Execution: Fixed Bid Resources: 2 onsite Duration: 3 Months

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Tableau | Sample Visualizations

Will have to update with some geo heat map reports

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QlickView

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QlikView - Features
• • • • • • • • • • • Fast growing, with good Data Visualization functionality, especially visual drilldown but has QlikView creates endless possibilities of making ad hoc queries in a nonhierarchical data structure. Has a good in-memory columnar database and so called AQL (“Associative Query Language”) allows instant, in memory, manipulation of massive datasets does not require high cost hardware automated data integration and a graphical analytical environment attractive for customers fast and powerful visualization capabilities ease of use - end users require almost no training highly scalable - near instant response time on very huge data volumes fast implementation - customers are live in less than one month, and most in a week flexible - allows unlimited dimensions and measures and can be modified in seconds integrated - all in one solution : dashboards, power analysis and simply reporting on a single architecture low cost - shorter implementations result in cost saving and fast return on investment




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QlikView - Advantages
• • • • • Comparative analysis: Perform comparative analysis for deeper insight. Users can now easily compare and interact with multiple different views or selection states of the data Mobility: Qlikview provides support for multiple tablet platforms which improves usability and time to value. QlikView 11 delivers full mobile functionality for tablets on Apple iOS, Android, and BlackBerry platforms. Rapid Analytic App Platform: QlikView 11 includes new and improved capabilities that meet the needs of IT professionals and third-party software developers — as well as the needs of business users who want to create their own analytic apps. Use of Screen estate: QlikView offers various gadgets, in-line minicharts, easy management of object visibility which allows making dashboards very information rich. Performance: QlikView 11 provides several new and improved capabilities to improve system performance. For instance, Publisher Performance Improvements Mean Fresher Data, Load Balancing Improvements Reduce Complexity and Cost , More Granular Clustering Optimizes Available Computing Resources. Need for an ETL: In general this also is true for QlikView. However since loading script in QlikView is capable to perform light ETL and data cleansing therefore in many cases this is sufficient enough. Session Activity Heat Map: The Statistics Sheet has a new Session Overview tab that presents a heat chart of QlikView session activity over the preceding 14 days. It will help in usage tracking based on active sessions.

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QlikView - Disadvantages
• Higher Total cost of ownership than SaaS BI: Compared to SaaS BI solutions, the cost of QlikView is higher because of the procurement and maintenance of the hardware needed for development, QA and production environments, and costs associated with downtimes. No OLAP-style analysis: QlikView does not offer the richness of MDX and other logical query languages provided by traditional on premise BI products. These languages enable end users to create far more powerful calculations (e.g. via addressing cells positionally in either a materialized or logical cube) than are possible in QlikView. Drag-n-drop authoring : QlikView has almost nothing to offer here -- fields still have to be picked from a cluttered properties dialogs and dashboards have rather static layout. QlikView is less flexible than the other products and the company is more rigid Qlikview portfolio(Client Tool, Server, Publisher, Information Access and Extranet Servers) is more complicated, data connectivity is less sophisticated, multi-tenancy is not supported, and access to different Data Visualizations (Documents in Qlikview’s speak) is limited



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Tool Competency | QlikView
 152* People; 31* Projects
* As of Aug, 2012

Global SI Partner
• BI environment Assessment / Tool Evaluation • Qlikview Implementation • Report migration to Qlikview Platform

Customer Speak “I want to thank you and your team your hard work developing in a very tight schedule as well as their interest to gather all our suggestions .” Sr Manager, Diversified Technology Company

Competency Profile

• Performance Investigation and Tuning • User Enablement Services

Representative Experiences Case 01 – Diversified Technology Company
Implemented a Supply chain scorecard with detailed KPI analysis
 Analyzed and integrated 25+ KPIs  Detailed analysis on KPIs by Month, Quarter, year, Area, Region, Country, Business, Division and Commodity  The Actual and operating plan on the key performance indicator helps the user to measure the success factors and goals of their organization  BI users from over 13 countries were provided with these reports

Case 02 – Leading Pharmaceutical firm
Implemented Clinical Trial and Planning Management Repository with detailed dimensions and facts  Implemented a set of flexible dashboards with filters, prompts, graphs, drill up/down, & column selector capabilities to analyze 65 KPIs  Provided Key metrics to leadership in the area of trial management  Created 7 UI screens using Qlikview to display 160 objects  Increased the usability among the users by better filters

Case 03 – Leading Network Solutions Company
Global information delivery and analytics solution to address its enterprise wide sales reporting needs  Provides information on Sales-In (Daily Sales), Trade Management, Point Of Sales, Goals data (forecasting information)  Developed individual data stores in the data warehouse to capture different measures of data  Implemented data dependency on LDW jobs in the QlikView reporting layer

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Case 01 - Visualization Tool | QlikView
Cognizant’s Qlikview Experience @ A Diversified Technology Company Client Situation


Cognizant Solution
Data from the Teradata (GEDW) was transformed and loaded to Qlikview application and several analysis charts and pivot tables were created that enabled the user to validate the data being analysed . EMMA Qlikview application includes screens for rates,Source of Supply, Supply Costs, Price Corridors, Rebates & Sales Departments, Exchange Rates, Invoicing Exchange Rates, Product Opportunity, EU Area Sales, Pricing View, Opportunity Views, Price Corridors, Customer by Product Sheet,Customer Price Detail, Actions Sheets, Invoices, Benefit vs Loss, Defects in Progress and Price Analysis

Client Benefits
• General productivity gains as significantly lesser time is spent in reviewing and building reports and it also provides instant access to information • Strategic benefits from being identify opportunity for Products, greater accountability transparency and speeding the decision making process able to building through strategic

An application for analysing the opportunity and European Prices by checking the Enterprise Lowest Net Selling Price (ELNSP) for a Product has to be developed and maintained



• Sales and service benefits from better understanding of new market opportunities, from seeing trends and from improved chances to convert prospects to customers

Technology Landscape | Database OS Tools Effort : Teradata : WINNT : QlikView, BO : 12 Person Months
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QlikView| Sample Visualizations

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Spotfire

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Spotfire - Features
• It is a cloud-based BI tool for creating and publishing dashboards and reports. • includes functionality for analysis, reporting, dashboards, and advanced data visualization while Spotfire Silver (provides the best Zero-Footprint (web-based) Client in DV market). • Has an excellent in-memory (64-bit) data engine and unlimited ability to scale-up to disk • Meets the needs of all users from ad-hoc analysis, to interactive reporting and dashboards, to domain-specific applications. It integrates with existing enterprise data sources and security models, and provides IT with a centralized means to administer and deploy analytics across the enterprise. • Spotfire 3.3 also includes collaborative bookmarking, which enables all Spotfire users to capture a dashboard - its complete configuration, including markings, drop down selections, and filter settings and share that visualization immediately with other users of that same dashboard, regardless of client in use

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Spotfire - Advantages
• User Driven Analysis: A self-configuring, in-memory data engine creates filters, hierarchies and aggregations right from the data- without cubes or programming. Dynamic, linked visualizations immediately reveal hidden trends and outliers across multiple data Sources. A highly responsive, drag-and-drop user interface gets users up and running in minutes. Simplified Data Access, Distributed Processing: end users can access both local and enterprise data sources in the same analysis. And, a flexible, in-memory architecture allows the option of processing data on either desktop client CPUs or central servers. Centralized Administration and Deployment: Spotfire Analytics Server provides centralized administration of end user access rights and client configurations, making it a breeze to deploy analytics across the enterprise.





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Spotfire - Disadvantages
• • Analytical views are simply not supported which can even be verified by running a select statement on the views. In-memory associative index: Limited by physical memory. Some scripting/modelling still required to load the data.

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Tool Competency | Spotfire
 65* People; 4* Projects
* As of Aug, 2012

Global Consulting Partner

• BI environment Assessment / Tool Evaluation • Spotfire Dashboard Implementation • Adoption • Advisory • Administration

• Content and Environment Support

• Customization of Spotfire Environment and Functionalities

Competency Profile

• Integration with Enterprise portals • Automation

Representative Experiences Case 01 – US Biotech Company
Implemented an in-Memory BI solution that involved a virtualized semantic layer to enable faster data discovery and advanced visualization  Used Spotfire visualization, analytics and dashboarding capabilities to display Sales, Product, Customer and Call Activity metrics and details (20+ views)  Visuals published and shared using zero foot print Spotfire Web player accessible via web browser enabled faster data analysis capability reducing turn around time by 70%  Implemented Linked (Live connection) Embedded (Data in DXP) Spotfire Analyses and

Case 02 – Global Integrated BioPharma Client
Developed End-to-End solution to standardize and centralize Clinical Pharmacology data and enabled effective Trial safety monitoring  Enabled the business to review monitoring data in an integrated manner leveraging the In-Memory Analytics and Visualization features of Spotfire  Reduced the man hours and elapsed time in preparation of data for safety review and increased individual subject safety  Performance analysis and improvement when connecting to diversified sources for improved user experience

Case 03 –Global Healthcare Leader
Designed and Implemented a complete Interactive dashboard with filtering mechanisms using Spotfire

Deliver technical solutions for implementation of
highly interactive and intuitive visuals that uses in-memory filters, controls and on-demand data retrieval. Designed a functional testing approach to test entire functionality of Product Dashboard containing 12 tabs and 45+ visualizations across Post marketing and Clinical Trial Safety reporting Implemented Web player Caching and Automation

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Case 02 - Visualization Tool | Spotfire
In Memory BI & Visualization Solution Using Spotfire @ US Biotech Company Client Situation
Business Need  To enable Division and Regional managers to do basic sales analysis without support from IT and sales operation teams. Key Challenges  Stand alone metrics with no correlation  Static reports with no analysis capabilities  No unified platform and process for different brands  Complex report generation process with very limited automation  Long turnaround times for maintenance and enhancement changes  Inability to integrate data dynamically from different data sources using traditional BI tools like SAS, BO etc  Limited advanced BI capabilities

Cognizant Solution
 Cognizant implemented an in-Memory BI solution that acted as a virtualized semantic layer and enabled advanced visualization and faster reporting capability  The solution supported following Business Processes & Subject areas  Sales, Product, Customer, Call Activity  Cognizant recommended Tibco Spotfire for visualization and dashboarding and traditional OLAP tools like BO/SAS for detailed reports.  SAS Enterprise Guide provided the ETL and warehousing solution. Technical Highlights  On-the-fly data analysis like changing data views, slicing and dicing data  Reports made available on Spotfire Webplayer and accessible via browser without any installation on user’s computer

Client Benefits
 On-the-fly data analysis freed up Sales Analyst time to perform complex analysis  Streamlined process helped the client to make enhancements and changes efficiently  Automated reporting process helped in reducing manual errors  Reduced maintenance cost  Increased user adoption due to better and faster report generation  Reduced turnaround time by 70% and enabled continuous improvements to the existing service level standards  Enhanced reporting capability and faster and more efficient response to customer requests

Key Business Questions Answered
 Sales  Weekly and Monthly sales data view  Performance Planning  Sales Growth analysis at multiple levels  Sales forecasting Marketing  Speaker Program analysis  Debit Card Program analysis  Regional & Business Planning Product  Competitors’ sales analysis and Market share Call Activity  Reach and Frequency  Strategy and Tactics

Technology Landscape BI Tools: Tibco Spotfire Professional 3.2, Spotfire WebPlayer, SAS Enterprise Guide 4.2, Business Objects ETL Tools: Informatica, SAS Key Statistics | Spotfire Views – 20+ LS Domain - Sales Operations and Marketing Sciences Source 6 ©2012,-Cognizant 24 |Systems



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Spotfire | Sample Visualizations

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Thank You

©2012, Cognizant

Thank You

©2012, Cognizant

What is Data Visualization all about…
Visual representation of quantitative data in schematic form (either with or without axes)
Represent important messages in data as patterns and pattern violations by using trends, gaps, and outliers Exploration and provisioning useful information in an efficient way Rapid processing of data for edge detection, shape recognition, and pattern matching Access to challenging data sets and making it available for analysis

Making it interactive and using layers of data

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Traditional BI vs Advanced Data Visualization
Conventional BI
Seeing numbers on the grid Cannot fit lot of data into a screen Fitting in and analyzing hundreds or thousands of attributes is a challenge A typical single chart or graph cannot display more than a few dimensions at a time. Manual clicking and scrolling Ad-hoc queries on pre-modeled data sets Primarily focused on disk-resident and precomputed data

Advanced Data Visualization
Seeing data as patterns when represented by graphs Techniques can fit tens of thousands of data points in a single screen Show deep and broad data sets in single screen Visualize and analyze data by multiple dimensions or attributes. Navigating through a dimension in one panel automatically updates all visualizations on all other panels. Animated Visualization Can perform True ad-hoc business analytics as no pre-defined models are required “in-memory” solutions make computation much faster

Advanced Data Visualization – Sample Screenshots

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Components & features of Data Visualization
Visual analytics is becoming the fastest way for people to explore and understand data of any size
Iterative creation of useful information for better usage by teams Enables quick access to data to ensure team collaboration

Visual Exploration Augmentation of Human Perception

Unifying the steps of querying, exploring and visualization data into a single process Data and visualization work in tandem Usability of data based on user requirement

Collaborative Visualization
Intimately linked information representation for better data relevance Intuitive linking to enhance user experience of data interpretation

Encouraging the utility of human perception Graphical representation of data for visual appreciation

Visual Analytics Visual Perspective Linking Visual Expressiveness

Accommodation of multiple dimensions to create visual representation for easy interpretation Uniform multidimensional representation across geographies and time

Series of alternative visualization for effective information communication Helps generate right questions in analysts mind to move to next appropriate visual instrument

Visual Perspective Shifting

Automatic Visualization

Application driven automatic analysis process Shortening the analysis time Automatic suggesting and effective visualization

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Suitability for DV

Need to add Real time examples from KPN

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Benefits of DV
100 times Faster
• Real-life business analytics for real-life business data

Ease of use

• Intuitive, drag-and-drop tool that lets you see every change as you make it

Smart, fit and beautiful dashboards

• Combine multiple views into a dashboard. Insert web pages and documents for greater explanation and insight. Highlight and filter related data

Direct connect & go

• Connect directly to databases, cubes, data warehouses, files and spreadsheets with only a few clicks, no programming required • Manage data connection and metadata • Combining data sources in the same view is so easy, can even filter from one data source to another and highlight across data sources

Perfect mashups Analytics on SharePoint, iPad, Tablets…
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• no changes for your dashboards to show up on web browsers, mobile Safari, or the Tableau Mobile app

Examples of Use cases from Telecommunications

Need to include current used cases from KPN

Create a geographic analysis of a wireless network - Analyze networks geographically to find inefficiencies

Avoid major risks by performing what-if analyses

Evaluate expansion prospects and find hidden opportunities

Assemble and analyze data in minutes instead of days

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Cognizant’s Dashboarding Capabilities
 780* People; 85* Projects
* As of Aug, 2012

Awards and Recognition

Solution Accelerators



DM Review Innovative Solution Award 2008 for performance management dashboard solution

• Four Aces Framework • C-Smart • Early Warning System



Microstrategy World 2010 Award under the best dashboard design category

Competency Profile

• Logitics

Representative Experiences
Mobile dashboard implementation @ a leading food products company
Implemented MicroStrategy dashboards in iPhone and iPad  iPhone Focus – Personnel in market - Pre-defined Metrics, Canned Analytics  iPad Focus – Leadership Access - Executive Cockpit, Selectable Measures, Drill down core Metrics  Corporate view of sales across Divisions  User selected sales view across Customer/Geo/Brand  Top 5/Bottom 5 view of sales across Customers/Geo/Brand  Total of 5 dashboards , 30 reports were developed with a refresh time of under 30 Seconds

Interactive dashboard design @ a leading chain of Hotels and Resorts
Delivery of interactive dashboards using MicroStrategy Mobile BI  Corporate Revenue dashboards by Channels/ Brand/Region, Franchise Performance, Flight Operations, Social media summary  Delivery -Smartphone, iPad and iPhone  Refresh time < 1 min on a wifi connection  BI Mobile server integrated with Mobile I-Server  OLAP cubes for faster performance  MicroStrategy caching strategy applied so the dashboards access the ‘cached’ datasets

Dashboard design @ a leading Global Pharmaceutical Company
Designed & implemented global Xcelsius architecture on SAP BI platform and increased the functionality and user friendliness to cover wide user base for dashboards  Phase 1- Offline dashboards with data extracts from SAP Bex and Phase 2 – Direct integration to SAP Bex Queries.  Proof of Concept for existing Bex dashboards converted to Xcelsius 2008  Included 60 components with enhanced performance and interactivity  User interactivity resulting in 3 dimensional entry to the dashboards  Hyperlink dashboards - Executive summary to detail dashboards

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Tableau Capabilities

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About Client

Tableau Experience @ Large Online Market Place

 Diversified technology company that provides a global trading platform  Buyers have the option to purchase items in an auction-style format or items can be purchased at a fixed price  Offers a wide variety of educational tools, features, and services that enable members to trade buy and sell on the site quickly, safely, and conveniently  Key Business Strategy Themes: Create Customer Trust, Improve Customer Experience, Increase Customer Loyalty

Client Situation
The client being an online marketplace wanted to analyze the users behavior to the changes made to the pages to the site. This required generation of reports. The client was looking for a full- fledged Business Intelligence Layer that met the following requirements: A solution that comes with Lesser time to Market (TTM)  Lower Total Cost of Ownership  Individual grids/graphs to be placed in a single dashboard, and global controls (i.e. selectors)  Easy to create and deliver dashboards.

Cognizant Solution
Engagement Highlights  Cognizant performed Tool evaluation to find the best-fit for clients requirements. Tableau was evaluated as the best fit in clients context  Extracted the raw data from the experimental platform and providing business reports using Tableau platform to the users via Visualization tool hence reducing time to market component.

Client Benefits
 Ability to quickly define & develop the required metrics/reporting on top of available data. (Able to develop reports in less than a week’s time with prod deployment)  This aided client’s research and development for the quick changes & Innovative visualization keeping the cost factor under control.

 Best in class visualization.
 Easy to learn/Adopt for business users.

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Sample Dashboard View

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Tool Competency | Tableau
 40* People; 3* Projects
* As of Aug, 2012

• BI environment Assessment / Tool Evaluation
• Tableau Implementation • Report migration to Tableau Platform • Performance Investigation and Tuning • User Enablement Services

• POC development • Dashboard Configuration and Customization

Competency Profile

Representative Experiences Case 01 – leading e-commerce firm Case 02 – a leading technology firm Case 03 – a leading credit card company

 Helped the client observe user’s behaviour to changes on the site pages and test the performance of various marketing decisions and experiments  Reports were generated directly from Teradata Datasets to Tableau Reports. The reports were exposed via portal to the user base.  Once the experiment proved positive, site changes were done to handle 100% traffic and metrics for monitoring the system were provided from BI reporting tools.



Minimize the manual effort spent on data pull from Teradata database by automatic report generation using Tableau Tableau generates dashboards with the power of visualizing complex analysis on millions of records at once Tableau helped in making key business decisions by performing on-the-fly calculations with comparative visual analysis



Currently working on a POC to analyze the usage pattern across different segments Travel pattern, car rental pattern and dining pattern analysis across different geographies are linked to create a merchant cluster









Create Decision Tree using Tableau Visualization and analyze the campaign responses across different segments to perform targeted marketing

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Case 03 - Visualization Tool | Tableau
Tableau Data Visualization Experience @ Leading Online Retailer Client Situation Cognizant Solution
 Cognizant aided client’s experiment by using raw data from experimental platform and providing business reports to user via Visualization tool hence reducing time to market component  Reports were generated directly from Teradata Datasets to Tableau Reports. The reports were exposed via portal to the user base  Once the experiments proved positive results, the site changes are done to 100% traffic and long run metrics for monitoring the system are provided from BI reporting tools.  This aided client’s research and development for the Innovations keeping the cost factor under control

 Client being an online market system, abundance of data is available to make proper business decisions.  One of the case involved launch of page on site and observe user’s behavior to its changes. Most of these experiments are short lived.  While reports need to be generated to understand the user behavior to test the performance of experiments, building a fully fledged Business intelligence layer to meet the short lived experiment can prove to be expensive

Key Highlights: Database: Teradata Projects Execution: Fixed Bid Resources: 2 onsite Duration: 3 Months

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Tableau | Sample Visualizations

Will have to update with some geo heat map reports

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Thank You

©2012, Cognizant

QlikView Capabilities

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Tool Competency | QlikView
 152* People; 31* Projects
* As of Aug, 2012

Global SI Partner
• BI environment Assessment / Tool Evaluation • Qlikview Implementation • Report migration to Qlikview Platform

Customer Speak “I want to thank you and your team your hard work developing in a very tight schedule as well as their interest to gather all our suggestions .” Sr Manager, Diversified Technology Company

Competency Profile

• Performance Investigation and Tuning • User Enablement Services

Representative Experiences Case 01 – Diversified Technology Company
Implemented a Supply chain scorecard with detailed KPI analysis
 Analyzed and integrated 25+ KPIs  Detailed analysis on KPIs by Month, Quarter, year, Area, Region, Country, Business, Division and Commodity  The Actual and operating plan on the key performance indicator helps the user to measure the success factors and goals of their organization  BI users from over 13 countries were provided with these reports

Case 02 – Leading Pharmaceutical firm
Implemented Clinical Trial and Planning Management Repository with detailed dimensions and facts  Implemented a set of flexible dashboards with filters, prompts, graphs, drill up/down, & column selector capabilities to analyze 65 KPIs  Provided Key metrics to leadership in the area of trial management  Created 7 UI screens using Qlikview to display 160 objects  Increased the usability among the users by better filters

Case 03 – Leading Network Solutions Company
Global information delivery and analytics solution to address its enterprise wide sales reporting needs  Provides information on Sales-In (Daily Sales), Trade Management, Point Of Sales, Goals data (forecasting information)  Developed individual data stores in the data warehouse to capture different measures of data  Implemented data dependency on LDW jobs in the QlikView reporting layer

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Case 01 - Visualization Tool | QlikView
Cognizant’s Qlikview Experience @ A Diversified Technology Company Client Situation


Cognizant Solution
Data from the Teradata (GEDW) was transformed and loaded to Qlikview application and several analysis charts and pivot tables were created that enabled the user to validate the data being analysed . EMMA Qlikview application includes screens for rates,Source of Supply, Supply Costs, Price Corridors, Rebates & Sales Departments, Exchange Rates, Invoicing Exchange Rates, Product Opportunity, EU Area Sales, Pricing View, Opportunity Views, Price Corridors, Customer by Product Sheet,Customer Price Detail, Actions Sheets, Invoices, Benefit vs Loss, Defects in Progress and Price Analysis

Client Benefits
• General productivity gains as significantly lesser time is spent in reviewing and building reports and it also provides instant access to information • Strategic benefits from being identify opportunity for Products, greater accountability transparency and speeding the decision making process able to building through strategic

An application for analysing the opportunity and European Prices by checking the Enterprise Lowest Net Selling Price (ELNSP) for a Product has to be developed and maintained



• Sales and service benefits from better understanding of new market opportunities, from seeing trends and from improved chances to convert prospects to customers

Technology Landscape | Database OS Tools Effort : Teradata : WINNT : QlikView, BO : 12 Person Months
| ©2012, Cognizant

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QlikView| Sample Visualizations

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Spotfire Capabilities

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Tool Competency | Spotfire
 65* People; 4* Projects
* As of Aug, 2012

Global Consulting Partner

• BI environment Assessment / Tool Evaluation • Spotfire Dashboard Implementation • Adoption • Advisory • Administration

• Content and Environment Support

• Customization of Spotfire Environment and Functionalities

Competency Profile

• Integration with Enterprise portals • Automation

Representative Experiences Case 01 – US Biotech Company
Implemented an in-Memory BI solution that involved a virtualized semantic layer to enable faster data discovery and advanced visualization  Used Spotfire visualization, analytics and dashboarding capabilities to display Sales, Product, Customer and Call Activity metrics and details (20+ views)  Visuals published and shared using zero foot print Spotfire Web player accessible via web browser enabled faster data analysis capability reducing turn around time by 70%  Implemented Linked (Live connection) Embedded (Data in DXP) Spotfire Analyses and

Case 02 – Global Integrated BioPharma Client
Developed End-to-End solution to standardize and centralize Clinical Pharmacology data and enabled effective Trial safety monitoring  Enabled the business to review monitoring data in an integrated manner leveraging the In-Memory Analytics and Visualization features of Spotfire  Reduced the man hours and elapsed time in preparation of data for safety review and increased individual subject safety  Performance analysis and improvement when connecting to diversified sources for improved user experience

Case 03 –Global Healthcare Leader
Designed and Implemented a complete Interactive dashboard with filtering mechanisms using Spotfire

Deliver technical solutions for implementation of
highly interactive and intuitive visuals that uses in-memory filters, controls and on-demand data retrieval. Designed a functional testing approach to test entire functionality of Product Dashboard containing 12 tabs and 45+ visualizations across Post marketing and Clinical Trial Safety reporting Implemented Web player Caching and Automation

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Case 02 - Visualization Tool | Spotfire
In Memory BI & Visualization Solution Using Spotfire @ US Biotech Company Client Situation
Business Need  To enable Division and Regional managers to do basic sales analysis without support from IT and sales operation teams. Key Challenges  Stand alone metrics with no correlation  Static reports with no analysis capabilities  No unified platform and process for different brands  Complex report generation process with very limited automation  Long turnaround times for maintenance and enhancement changes  Inability to integrate data dynamically from different data sources using traditional BI tools like SAS, BO etc  Limited advanced BI capabilities

Cognizant Solution
 Cognizant implemented an in-Memory BI solution that acted as a virtualized semantic layer and enabled advanced visualization and faster reporting capability  The solution supported following Business Processes & Subject areas  Sales, Product, Customer, Call Activity  Cognizant recommended Tibco Spotfire for visualization and dashboarding and traditional OLAP tools like BO/SAS for detailed reports.  SAS Enterprise Guide provided the ETL and warehousing solution. Technical Highlights  On-the-fly data analysis like changing data views, slicing and dicing data  Reports made available on Spotfire Webplayer and accessible via browser without any installation on user’s computer

Client Benefits
 On-the-fly data analysis freed up Sales Analyst time to perform complex analysis  Streamlined process helped the client to make enhancements and changes efficiently  Automated reporting process helped in reducing manual errors  Reduced maintenance cost  Increased user adoption due to better and faster report generation  Reduced turnaround time by 70% and enabled continuous improvements to the existing service level standards  Enhanced reporting capability and faster and more efficient response to customer requests

Key Business Questions Answered
 Sales  Weekly and Monthly sales data view  Performance Planning  Sales Growth analysis at multiple levels  Sales forecasting Marketing  Speaker Program analysis  Debit Card Program analysis  Regional & Business Planning Product  Competitors’ sales analysis and Market share Call Activity  Reach and Frequency  Strategy and Tactics

Technology Landscape BI Tools: Tibco Spotfire Professional 3.2, Spotfire WebPlayer, SAS Enterprise Guide 4.2, Business Objects ETL Tools: Informatica, SAS Key Statistics | Spotfire Views – 20+ LS Domain - Sales Operations and Marketing Sciences Source 6 ©2012,-Cognizant 48 |Systems



 

Spotfire | Sample Visualizations

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| ©2012, Cognizant

Thank You

©2012, Cognizant

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