WADE is an integrated service framework aimed at synthesizing and drawing insights from the multiple pockets of data which lie across the organization and accurately anticipate current and future trends, and thereby, inspire the organization to change the way it thinks / acts to achieve its long-term growth targets. For more details - http://bit.ly/Uv8OJk

1. SM
WNS Analytics
Decision Engine
Insights for Intelligent Growth
Copyright © 2012 WNS Global Services | wns.com

2. Introduction WNS Analytics Decision
n The ability to create outcome-based transformational
solutions supported by proprietary frameworks, process
Engine (WADE)*
excellence, technology and cutting-edge analytics is a key WADE is an integrated service framework aimed at
differentiator for WNS, in its pursuit to profitable growth. synthesizing and drawing insights from the multiple pockets
n WNS Analytics Decision Engine has been developed in line of data which lie across the organization and accurately
with this key differentiator. anticipate current and future trends, and thereby, inspire the
organization to change the way it thinks / acts to achieve its
The Market Landscape Seventy percent of the growth in most long-term growth targets.
industries depends on the GDP growth of an economy. While
With respect to the effective use of data, organizations today
signs of recovery are slowly beginning to show in the US, there face six main challenges:
is still a certain amount of unrest. Uncertainty is still apparent
in Europe, resulting in the economic momentum to shift 1. Access: The data exists in silos, isolated by its sources
(sales, customers, marketing and insights, suppliers,
eastwards. Such changes in the global economic order are
finance) and in the cloud with little
making it crucial for business enterprises to make smart and
coordination / integration
astute decisions. Decisions relating to the extent of play in
emerging markets, real-time execution of ideas and projects, 2. Quantity: Comprehensiveness and consistency across
and better leverage the Internet are becoming critical for multiple sources varies, thereby limiting the ability
business success. of usage
3. Quality: Data varies in complexity and cleanliness; skills to
While foraying into new markets may offer exciting clean and synthesize are limited
opportunities for business expansion in times of domestic
4. Insights: Pockets of expertise exist throughout the system;
economic turmoil; it also presents challenges in the form of:
no standard best practices; multiple ad-hoc project-based
competition from local and regional players; requirement of a
efforts by different departments and regions
robust globalized supply base and making sense of and
leveraging marketing channels like social media and 5. Execution: The ability to act upon the insights derived from
e-commerce. With the emergence of digital technology and the various touch-points often falls short in organizations
social media networks, consumerism is becoming all about 6. Speed-to-Harvest Insight: Freshness of data is very critical
value, innovation, personalization and customer engagement. in a dynamic market to react to competition and changing
consumer preferences
Today a business needs to make the right investment choices
and adopt technologies that enable it to take smart and astute Most organizations today, have an enterprise data warehouse
decisions, irrespective of the geographies that it is present in to harness organizational data. But, not all data that can drive
or the customer demographics that it reaches out to. important decisions, sits in the data warehouse. More often
than not, the data warehouse cannot meet the organizational
Technology
n is making possible the capture of data at every data analysis requirements, crucial for the decision making
consumer interface, providing a huge opportunity for firms process. What organizations really need are the 'meta' insights
to leverage this data to draw key insights and make superior that can only come from intelligent coupling of data.
business decisions.
Many organizations have tried to build internal and third party
nsurprisingly,
Not firms are seeking insights from all consumer analytics 'Centres of Excellence', which to start off with looked like
touch-points and moving towards an enterprise-wide adoption a great idea, but has led to complexities after implementation.
of analytically-based choices. WNS is helping clients meet Organizations implementing this model are caught in the complex
these twin objectives through our proprietary service web of data sources and the Center of Excellence trying to
framework, the WNS Analytics Decision Engine. coordinate and make sense of the data deluge with limited
integration, adhoc engagements and lack of scale.
* Trademark Being Filed
Copyright © 2012 WNS Global Services | wns.com 01

3. SM
Figure 1: Access to Enterprise-wide Data is Inhibited by the Three Main Silos of Decision-Making
Strategic
n Planning
Portfolio
n and Brand Planning
Consumer Insights
n
n and Opportunity Analysis
Trend
Cloud / Innovation Strategy
n Research
Web Data Data
Sales Data
Syndicate Macro
Data Data
Financial Manufacturing
Data Data
Supply
Forecasting
n and Tracking Chain Operating
n Planning
n and
Sales Account Reporting Demand
n Forecasting
Customer,
n Channel and Planning
n and
Category Management Inventory Management
Customer
n Marketing Network
n planning
Procurement
n
Retail Customer
Execution Data
A plain-vanilla analytics Centre of Excellence is no longer the available to the organization; harmonizing them and making
solution for data analytics needs of organizations. It requires them available at a single user interface; and generating
specific competencies in data management, analytics and actionable insights for timely application to business.
insight generation and applying those to busines s action. The framework is vertical specific, Figure 1 illustrates the
It helps de-couple the skill sets: WADE solution for the CPG-Retail Industry
Data
n specialists to create data repositories, harmonise data
For the Consumer Packaged goods and Retail Industry, WADE
across departments and lines of business
delivers a 3 fold business impact:
A concentrated
n resource pool of seekers-specialists on data
Fact
n based Marketing Strategy by synthesizing all Research
management and analytics who harness the data, run
data for Issue based Meta Analysis
innovation analytics , generate insights and help build
scaled solutions for the business Market
¾ Landscape and growth analysis to enable
Business Growth Strategy
Enabling
n the General managers on the client side to apply
Actionable
¾ Consumer and Shopper Insights for effective
the solutions to business, enhance their span of control
Portfolio and Brand Strategies
Leveraging its rich experience in generating actionable Efficiency
¾ and Effectiveness in Commercial
insights by harmonizing diverse data sources already existing Innovation Programs
within organizations, WNS has pioneered a proprietary
framework, which enables harnessing multiple sources of data
Copyright © 2012 WNS Global Services | wns.com 02

4. Enables
n Insight Exchange through a meaning based Enables
n Retailer Supplier Cooperation Programs by
computing platform harnessing Store POS daily data to drive
Meaning
¾ based search for documents and subject Demand
¾ Driven Supply Networks
matter expertise Winning
¾ at Moment of Truth
Format
¾ and language agnostic, integrates focus group
and ethnography videos
Accessible
¾ through smart devices
Librarian
¾ on demand
Figure 2: The WADE Solution Framework for CPG Retail Industry
Helping build Business Winning at Demand
Marketing Commercial
Custom Growth
Strategy Innovatioin
Moment Driven
Strategy Of Truth Networks
Business solutions
Enable enterprise +
wide connect
and develop Insight exchange through meaning-based computing
Overlays ACE- Data Mining, Business Social Media /
CRM Research
Specialist Skills in Business Financial Web
Analytics Analytics
Intelligence Research Analytics
Research & Analytics
Research Repository – Upstream Data Demand Signal Repository – Downstream Data
WADE helps harness
Data Repositories
with specialists Macro Data
n Retail Execution
n
Research Data
n T-Log
n
n / Social Media
Web Syndicate Data
n
Need based interaction
The client ERP Sales / CRM Supply Manufacturing
Financial Data
does not hold all data Data Chain Data Data
ERP - Mid stream Data
Conclusion:
WADE is a vertical specific framework that enables organizations to harness and consumer all data at their disposal through an
analytics centre of excellence, enabling scaled custom solutions that build competitive advantage, In summary WADE enables the
adoption of analytics in business decision making, enabling clients in their journey towards becoming fact based organizations.
Copyright © 2012 WNS Global Services | wns.com 03