Embed Size (px)
Citation preview
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
Listening to the Voice of the Customer
15 1516
1718
20
2224
0 2 3 46
810
14
0
5
10
15
20
25
30
1995 1996 1997 1998 1999 2000 2001 2002
Sales Forecast in 1999
Traditional Cameras Digital Cameras
Extrapolated Forecast Actual Data
0
2
4
6
8
10
12
14
16
18
20
1995 1996 1997 1998 1999 2000 2001 2002
What Really Happened
Traditional Cameras Digital Cameras
Predicted demand adjusted for social media influences
Home Prices – Retail Sales
0
10
20
30
40
50
60
70
80
90
100
Nov Dec Jan Feb
Protein Bar Sales
Sales Twitter Data Twitter Sentiment
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
Data Brokers
Data Markets
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%)
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
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
Copyright © 2013 Accenture All rights reserved.
Demos
