Data Visualization - KPN - Tools v1.3

8/13/2019 Data Visualization - KPN - Tools v1.3

http://slidepdf.com/reader/full/data-visualization-kpn-tools-v13 1/50

| ©2012, Cognizant1

Data Visualization (DV) tools



| ©2012, Cognizant

Facts on Data Visulaistaion

2

The Data Visualization Market recently reached 1 billion dollars in size

Growing faster than any other software market, including traditionalBusiness Intelligence (BI) tools.

Among Data Visualization Leaders we mention three importantplayers:

• Tableau Software

• Spotfire

•

Qliktech





| ©2012, Cognizant

Tableau - Features

4

• 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 fornon-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 localPowerPivot multidimensional Cubes



| ©2012, Cognizant

Tableau - Advantages

5

• 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 interactionthrough 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 instancelocation 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



| ©2012, Cognizant

Tableau - Disadvantages

6

• 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 sometimesit'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 completelycluttered and barely usable. Also such thing as in-line mini charts simply

doesn't exist in Tableau.



| ©2012, Cognizant

Tableau Experience @ Large Online Market Place

7

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.

Best in class visualization.

Easy to learn/Adopt for business users.

Cognizant Solution

Engagement Highlights

Cognizant performed Tool evaluationto find the best-fit for clientsrequirements. Tableau was evaluated

as the best fit in clients context Extracted the raw data from the

experimental platform and providingbusiness reports using Tableauplatform to the users via Visualizationtool hence reducing time to marketcomponent.

Ability to quickly define &develop the requiredmetrics/reporting on top ofavailable data. (Able to developreports in less than a week’s

time with prod deployment)

This aided client’s research anddevelopment for the quickchanges & Innovativevisualization keeping the costfactor under control.

Client Benefits



| ©2012, Cognizant

Sample Dashboard View

8



| ©2012, Cognizant

Tool Competency | Tableau

9

Competency

Profile

Representative Experiences

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 TeradataDatasets 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.

Case 01 – leading e-commerce firm

• Minimize the manual effort spent on data pull

from Teradata database by automatic report

generation using Tableau

•

Tableau generates dashboards with the power ofvisualizing 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

Case 02 – a leading technology firm

• 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 arelinked to create a merchant cluster

• Create Decision Tree using Tableau Visualization

and analyze the campaign responses across

different segments to perform targeted marketing

Case 03 – a leading credit card company

•POC development

• Dashboard Configuration and

Customization

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



| ©2012, Cognizant

Case 03 - Visualization Tool | Tableau

10

Tableau Data Visualization Experience @ Leading Online Retailer

Cognizant aided client’s experiment by using raw data from experimental platform and providing businessreports 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

Cognizant Solution

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

Client Situation

Key Highlights:

Database: Teradata

Projects Execution: Fixed Bid

Resources: 2 onsite

Duration: 3 Months



| ©2012, Cognizant

Tableau | Sample Visualizations

11

Will have to update with some geo heat map

reports


http://slidepdf.com/reader/full/data-visualization-kpn-tools-v13 12/50 | ©2012, Cognizant12

QlickView



| ©2012, Cognizant

QlikView - Features

13

• Fast growing, with good Data Visualization functionality, especially visualdrilldown but has

• QlikView creates endless possibilities of making ad hoc queries in a non-hierarchical data structure.

• Has a good in-memory columnar database and so called AQL (“Associative QueryLanguage”)

• 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



| ©2012, Cognizant

QlikView - Advantages

14

• 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 thatmeet the needs of IT professionals and third-party software developers — as well as theneeds 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 FresherData, Load Balancing Improvements Reduce Complexity and Cost , More GranularClustering Optimizes Available Computing Resources.

• Need for an ETL: In general this also is true for QlikView. However since loading script inQlikView 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 inusage tracking based on active sessions.



| ©2012, Cognizant

QlikView - Disadvantages

15

• Higher Total cost of ownership than SaaS BI: Compared to SaaS BI solutions, thecost of QlikView is higher because of the procurement and maintenance of the hardware

needed for development, QA and production environments, and costs associated withdowntimes.

• No OLAP-style analysis: QlikView does not offer the richness of MDX and other logicalquery languages provided by traditional on premise BI products. These languagesenable end users to create far more powerful calculations (e.g. via addressing cellspositionally 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 staticlayout. • 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 isnot supported, and access to different Data Visualizations (Documents in Qlikview’s speak) is limited

|



| ©2012, Cognizant

Tool Competency | QlikView

16

Competency

Profile


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, Divisionand 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 01 – Diversified Technology

Company

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 02 – Leading Pharmaceutical firm

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

Case 03 – Leading Network Solutions

Company


* As of Aug, 2012

Customer Speak

“I want to thank you and your

team your hard work developingin a very tight schedule as well

as their interest to gather all our

suggestions .”

Sr Manager, Diversified

Technology Company

Global SI Partner

• BI environment Assessment / Tool

Evaluation

• Qlikview Implementation

• Report migration to Qlikview

Platform

• Performance Investigation and

Tuning


i li i l | lik i



| ©2012, Cognizant

Case 01 - Visualization Tool | QlikView

17

Cognizant’s Qlikview Experience @ A Diversified Technology Company

• 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, PriceCorridors, 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

Cognizant Solution

An application for analysing the opportunity

and European Prices by checking the

Enterprise Lowest Net Selling Price (ELNSP) fora Product has to be developed and maintained

Client Situation

• 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 able to

identify opportunity for Products, building

greater accountability through

transparency and speeding the strategic

decision making process

• Sales and service benefits from better

understanding of new market

opportunities, from seeing trends and from

improved chances to convert prospects to

customers

Client Benefits

Technology Landscape |

Database : Teradata

OS : WINNT

Tools : QlikView, BO

Effort : 12 Person Months

QlikVi | S l Vi li i



| ©2012, Cognizant

QlikView| Sample Visualizations

18





| ©2012, Cognizant

Spotfire - Features

20

• 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 bestZero-Footprint (web-based) Client in DV market).

• Has an excellent in-memory (64-bit) data engine and unlimitedability to scale-up to disk

•

Meets the needs of all users from ad-hoc analysis, to interactivereporting and dashboards, to domain-specific applications. Itintegrates with existing enterprise data sources and security models,and provides IT with a centralized means to administer and deployanalytics across the enterprise.

• Spotfire 3.3 also includes collaborative bookmarking, which enables

all Spotfire users to capture a dashboard - its completeconfiguration, including markings, drop down selections, and filtersettings and share that visualization immediately with other users ofthat same dashboard, regardless of client in use



| ©2012, Cognizant

Spotfire - Advantages

21

• 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 acrossmultiple data Sources. A highly responsive, drag-and-drop user interface gets users upand running in minutes.

• Simplified Data Access, Distributed Processing: end users can access both localand enterprise data sources in the same analysis. And, a flexible, in-memoryarchitecture allows the option of processing data on either desktop client CPUs or centralservers.

•Centralized Administration and Deployment: Spotfire Analytics Server providescentralized administration of end user access rights and client configurations, making ita breeze to deploy analytics across the enterprise.



| ©2012, Cognizant

Spotfire - Disadvantages

22

• Analytical views are simply not supported which can even be verified by running a selectstatement on the views.

• In-memory associative index: Limited by physical memory. Some scripting/modellingstill required to load the data.

T l C t | S tfi



| ©2012, Cognizant

Tool Competency | Spotfire

23

Competency

Profile


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) and

Embedded (Data in DXP) Spotfire Analyses

Case 01 – US Biotech Company

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-MemoryAnalytics 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 02 – Global Integrated BioPharma

Client

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 dataretrieval.

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

Case 03 –Global Healthcare Leader

Global Consulting Partner 65* People; 4* Projects

* As of Aug, 2012

•

Content and Environment Support• Customization of Spotfire

Environment and Functionalities

• Integration with Enterprise portals

• Automation

•BI environment Assessment / ToolEvaluation

• Spotfire Dashboard Implementation

• Adoption

• Advisory

• Administration

Case 02 Visualization Tool | Spotfire



| ©2012, Cognizant

Case 02 - Visualization Tool | Spotfire

24

In Memory BI & Visualization Solution Using Spotfire @ US Biotech Company

Cognizant implemented an in-Memory BIsolution 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

Cognizant Solution

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

Client Situation

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

Client Benefits

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 Systems - 6

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

Key Business Questions Answered

Spotfire | Sample Visualizations



| ©2012, Cognizant


25



©2012, Cognizant

Thank You



©2012, Cognizant

Thank You

What is Data Visualization all about



| ©2012, Cognizant

What is Data Visualization all about…

28

Represent important messages in data as patterns andpattern violations by using trends, gaps, and outliers

Exploration and provisioning useful information in anefficient way

Rapid processing of data for edge detection, shaperecognition, and pattern matching

Access to challenging data sets and making it available foranalysis

Making it interactive and using layers of data

Visual representation of quantitative data in schematic form (either

with or without axes)

Traditional BI vs Advanced Data Visualization



| ©2012, Cognizant

Traditional BI vs Advanced Data Visualization

29

Advanced Data Visualization – Sample Screenshots

Conventional BI Advanced Data Visualization

Seeing numbers on the grid Seeing data as patterns when represented by graphs

Cannot fit lot of data into a screen Techniques can fit tens of thousands of data points in a single screen

Fitting in and analyzing hundreds or thousands

of attributes is a challengeShow deep and broad data sets in single screen

A typical single chart or graph cannot display

more than a few dimensions at a time.

Visualize and analyze data by multiple dimensions or attributes.

Navigating through a dimension in one panel automatically updates

all visualizations on all other panels.

Manual clicking and scrolling Animated Visualization

Ad-hoc queries on pre-modeled data setsCan perform True ad-hoc business analytics as no pre-definedmodels are required

Primarily focused on disk-resident and pre-

computed data

“in-memory” solutions make computation much faster

Components & features of Data Visualization



| ©2012, Cognizant

Components & features of Data Visualization

30

Visual

Analytics

Visual

Exploration

Augmentation

of Human

Perception

Visual

Expressiveness

Automatic

Visualization

Visual

Perspective

Shifting

Visual

Perspective

Linking

Collaborative

Visualization

Visual analytics is becoming the fastest way for people to explore and understand data of any size

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

Accommodation of multiple

dimensions to create visual

representation for easy

interpretation

Uniform multidimensional

representation across geographies

and time

Encouraging the utility of human

perception

Graphical representation of data

for visual appreciation

Application driven automatic

analysis process

Shortening the analysis time

Automatic suggesting and effective

visualization

Series of alternative

visualization for effective

information communication

Helps generate right

questions in analysts mind to

move to next appropriate

visual instrument

Intimately linked information

representation for better data

relevance

Intuitive linking to enhanceuser experience of data

interpretation

Iterative creation of useful

information for better usage by

teams

Enables quick access to data toensure team collaboration

S it bilit f DVNeed to add Real time examples from KPN



| ©2012, Cognizant

Suitability for DV

31

p

B fit f DV




Benefits of DV

• Real-life business analytics for real-life business data100 times Faster

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

Ease of use

• Combine multiple views into a dashboard. Insert web pages anddocuments for greater explanation and insight. Highlight and filterrelated data

Smart, fit andbeautiful

dashboards

• Connect directly to databases, cubes, data warehouses, files andspreadsheets with only a few clicks, no programming required

• Manage data connection and metadata

Direct connect &go

• Combining data sources in the same view is so easy, can even filter

from one data source to another and highlight across data sourcesPerfect mashups

• no changes for your dashboards to show up on web browsers,mobile Safari, or the Tableau Mobile app

Analytics onSharePoint, iPad,

Tablets…

E amples of Use cases from Telecomm nications

Need to include current used cases from KPN




Create a geographicanalysis of a wireless

network - Analyzenetworks geographically

to find inefficiencies

Avoid major risks byperforming what-if

analyses

Evaluate expansionprospects and find

hidden opportunities

Assemble and analyzedata in minutesinstead of days

Examples of Use cases from Telecommunications

Cognizant’s Dashboarding Capabilities



| ©2012, Cognizant

Cognizant s Dashboarding Capabilities

34

Competency

Profile


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

Mobile dashboard implementation @ a

leading food products company

Delivery of interactive dashboards using MicroStrategy

Mobile BI

Corporate Revenue dashboards by Channels/

Brand/Region, Franchise Performance, FlightOperations, 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

Interactive dashboard design @ a leading

chain of Hotels and Resorts

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

Dashboard design @ a leading Global

Pharmaceutical Company


* As of Aug, 2012

•

Four Aces Framework

• C-Smart

• Early Warning System

• Logitics

DM Review Innovative Solution Award

2008 for performance management

dashboard solution

Microstrategy World 2010 Award

under the best dashboard design

category

Solution AcceleratorsAwards and Recognition




Tableau Capabilities



| ©2012, Cognizant

Tableau Experience @ Large Online Market Place

36

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.

Best in class visualization.

Easy to learn/Adopt for business users.

Cognizant Solution

Engagement Highlights

Cognizant performed Tool evaluationto find the best-fit for clientsrequirements. Tableau was evaluatedas the best fit in clients context

Extracted the raw data from theexperimental platform and providingbusiness reports using Tableauplatform to the users via Visualizationtool hence reducing time to marketcomponent.

Ability to quickly define &develop the requiredmetrics/reporting on top ofavailable data. (Able to developreports in less than a week’s

time with prod deployment)

This aided client’s research anddevelopment for the quickchanges & Innovativevisualization keeping the costfactor under control.

Client Benefits




| ©2012, Cognizant


37




| ©2012, Cognizant


38

Competency

Profile


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.

Case 01 – leading e-commerce firm

• 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

Case 02 – a leading technology firm

• 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

Case 03 – a leading credit card company

• POC development

• Dashboard Configuration and

Customization


* As of Aug, 2012• BI environment Assessment / Tool

Evaluation

• Tableau Implementation

• Report migration to Tableau Platform

• Performance Investigation and Tuning


Case 03 - Visualization Tool | Tableau



| ©2012, Cognizant

Case 03 Visualization Tool | Tableau

39

Tableau Data Visualization Experience @ Leading Online Retailer

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

Cognizant Solution

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 begenerated 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

Client Situation

Key Highlights:

Database: Teradata

Projects Execution: Fixed Bid

Resources: 2 onsite

Duration: 3 Months

Tableau | Sample Visualizations Will have to update with some geo heat map

t



| ©2012, Cognizant

ab eau | Sa p e sua at o s

40

reports



©2012, Cognizant

Thank You




QlikView Capabilities



Case 01 - Visualization Tool | QlikView



| ©2012, Cognizant

|

44

Cognizant’s Qlikview Experience @ A Diversified Technology Company

• 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

Cognizant Solution

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

Client Situation

• 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 able to

identify opportunity for Products, building

greater accountability through

transparency and speeding the strategic

decision making process

• Sales and service benefits from better

understanding of new market

opportunities, from seeing trends and from

improved chances to convert prospects to

customers

Client Benefits

Technology Landscape |

Database : Teradata

OS : WINNT

Tools : QlikView, BO

Effort : 12 Person Months

QlikView| Sample Visualizations



| ©2012, Cognizant

| p

45




Spotfire Capabilities

Tool Competency | Spotfire



| ©2012, Cognizant

47

Competency

Profile


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) and

Embedded (Data in DXP) Spotfire Analyses

Case 01 – US Biotech Company

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 02 – Global Integrated BioPharma

Client

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 dataretrieval.

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

Case 03 –Global Healthcare Leader

Global Consulting Partner 65* People; 4* Projects

* As of Aug, 2012

• Content and Environment Support

• Customization of Spotfire

Environment and Functionalities

• Integration with Enterprise portals

• Automation

• BI environment Assessment / Tool

Evaluation

• Spotfire Dashboard Implementation

• Adoption

• Advisory

• Administration

Case 02 - Visualization Tool | Spotfire



| ©2012, Cognizant

48

In Memory BI & Visualization Solution Using Spotfire @ US Biotech Company

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

Cognizant Solution

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

Client Situation

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

Client Benefits

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 Systems - 6

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

Key Business Questions Answered




| ©2012, Cognizant

49



©2012, Cognizant

Thank You

Date post:	04-Jun-2018
Category:	Documents
Upload:	anandh-kumar
View:	225 times
Download:	0 times