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Empowering Retailers with Customer Insight

Feb 10, 2017

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ShiSh Shridhar
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Page 2: Empowering Retailers with Customer Insight

Retail has a multitude of devices that generate petabytes of potential

insights

Monitoring and Mining Social Media Data enables

Retailers to enhance customer insights

Open Data Sources & Internal Sources enables

Retailers to better understand Customers

Page 3: Empowering Retailers with Customer Insight

Listening to the Voice of the Customer

15 1516

1718

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2224

0 2 3 46

810

14

0

5

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1995 1996 1997 1998 1999 2000 2001 2002

Sales Forecast in 1999

Traditional Cameras Digital Cameras

Extrapolated Forecast Actual Data

0

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1995 1996 1997 1998 1999 2000 2001 2002

What Really Happened

Traditional Cameras Digital Cameras

Page 4: Empowering Retailers with Customer Insight

Predicted demand adjusted for social media influences

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Home Prices – Retail Sales

Page 6: Empowering Retailers with Customer Insight

0

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Nov Dec Jan Feb

Protein Bar Sales

Sales Twitter Data Twitter Sentiment

Page 7: Empowering Retailers with Customer Insight

How A Retailer Figured Out A Teen Girl

Was Pregnant Before Her Father Did

Shopping Patterns Reflect Life Changes

Data from Sales Correlated to Birth Registry to determine patterns

Attempt to get better customer insights & predict what customers want before they tell you

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Page 9: Empowering Retailers with Customer Insight

Data Brokers

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Top Scenarios for Big Data Analytics in Retail

1. Targeted offers & promotions (50%)

2. Demand forecasting and supply chain modeling (49%)

3. Customer-centric marketing (43%)

4. Loyalty program management (35%)

5. Workforce management (28%)

6. Store design (18%)

7. Loss prevention (16%)

Page 19: Empowering Retailers with Customer Insight

Copyright © 2014 Accenture All rights reserved.

ACCENTURE ANALYTICS PLATFORM

Technical Platform Services

Is a scalable cloud based platform to delivery BI and Analytics through a subscription model.

Business Analytic Services

Consumer

Data

Retailer

Data

Enterprise

Systems

CRM

Data

Syndicated

Data

Internal DataExternal Data

Customer &

Marketing Analytics

Operations

Analytics

Sales & Service

Analytics

Product

Development

Human Capital

Analytics

Enterprise

Analytics

Data Integration & Management

Business Intelligence

Industry and functional expertise

Leading class analytics

techniques

Latest software releases

Industry data standards and

models

• Public or Private Cloud (AO/IO)• Software Licenses• 24x7x365 Tier 1-2-3 Support• Disaster Recovery

• Hosting• Service Level Agreements• Data and User Security• Self Service

Leading class foundational

platform

Better

Insights

Flexible &

Scalable

Speed to

Value

Reduced

Costs

Analytics Service Bureau

Decision – Now What?Modeling – So What?Sensing – What?

Data Discovery Analysis Functional Analytics Value Realization

Generate Insight Take Action

Role-based Consumption

Accenture Perfect Analytics for CPG

20

Page 20: Empowering Retailers with Customer Insight

Copyright © 2014 Accenture All rights reserved.

DEPLOYMENT OPTIONS

21

E2E Enterprise Solution: Migration to a fully

outsourced data and analytics platform.Example: A global healthcare company has deployed

Perfect Analytics to have a single source of the truth.

Advanced Analytics Only: Modules deployed to

address specific functional needs.Example: A global home & personal care company is using

Perfect Analytics to integrate and harmonize data and run

analytic models to improve forecasting.

Data Integration & Management: Perfect Analytics can

coexist with the EDW or replace the EDW, potentially

starting as the external data integration engine.

Reporting: Leverage industry leading KPIs and

visualization capabilities to deliver a powerful

performance management solution.Example: A global beverage company is piloting Perfect

Analytics as a service to provide its bottlers with an

integrated analytics platform with next best actions.

Visualizations & Consumption: Data visualizations to

complete portal functionality.

An analytics service platform could be leveraged to replace, enhance or fill gaps in

existing analytics solutions. This can also be used to standardize the platform

technology components across emerging markets.

Sandbox/POC Environment: Rapid Prototyping – spin

up POC scenarios to test use cases, adoption, feasibility,

etc… Try before buy concept

Page 21: Empowering Retailers with Customer Insight

Copyright © 2013 Accenture All rights reserved.

Demos

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