Real-time Analytics: The Path to Intelligent Retailing Infographic

Real-time Analytics:
The Path to Intelligent Retailing
Power has shifted in the retail industry – and consumers are now in control. With access to more data than ever before,
consumers can quickly compare you against the competition and make buying decisions in an instant. This is true whether you’re
a big box store, boutique, or e-retailer.
With real-time data analytics, companies can now act as fast as their customers – leveling the playing field by moving from data to
actionable decision in an instant. What are you doing to maximize the value of your data?
How much data
do you have?
Can you act on the data you have?
55%
The issue isn’t a lack of data,
it’s about overabundance.
It’s not easy analyzing mountains of information.
How important is analytics?
Better, faster insight leads to better, faster decisions.
of companies have more
data than they can act upon.1
88%of retail companies have
issues generating actionable
insight from their data.2
43%of company data is deemed
actionable by retailers on
average.3
16%of retail organizations
are using information to
identify strategic and
competitive advantages.4
70%
of retail executives regard
data analytics as a “core
component of strategy
and planning.”5
Nearly
Only Only
Where can analytics help?
Key areas using data analytics to support
strategic decisions include:8
Aren’t data analytics just for megaretailers?
Whether you’re big or small, better insight means better decision making.
How important is speed?
In a real-time world, you need real-time analytics.
61%of merchants can’t get
information fast enough to
react to what’s happening now.6
35%of retailers are leaving room in
their budgets to give employees
immediate mobile access to business
intelligence tools and data.7
“Even the smallest companies
can no longer get a clear picture
of the overall health of their
business without the help of
analytics.”9
• Customer insight (68%)
• Brand and productmanagement (64%)• Pricing decisions (50%)• Market expansion (45%)• Operating model optimization (37%)
• Portfolio rationalization (23%)
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What kind of benefits
can be expected?
Major retailers have seen these gains:
Greater efficiencies for store and channel operations
More intelligent space and product allocation
Increased inventory accuracy
Higher customer retention rates
Move from data to decision faster
than you ever thought possible.
Find out how analytics solutions from SAP
can help you at www.sap.com/analyticsforretail.
Sources
1. 2012 SAP UK Retail Industry Research, Loudhouse.
4. SAP Performance Benchmarking, 2012.
5. “Retail Industry Pulse Survey,” KPMG LLP, 2011.
6. “Retail Business Intelligence: A Work in Progress,” RSR Research,
October 2012.
October 2012.
8. “Retail Industry Outlook Survey: Modest Gains Keep Cautious
Optimism in Style,” KPMG LLP, 2012.
October 2012.
© 2013 SAP AG or an SAP affiliate company. All rights reserved. CMPID 24816
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Real-time Analytics: The Path to Intelligent Retailing Infographic

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