Data to Insight to Action How Analytics can drive High Performance

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Data to Insight to Action How Analytics can drive High Performance Christelle Goblet Belux Marketing & Analytics Lead @cgoblet

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by Christelle Goblet, Accenture Belux Marketing & Analytics Lead @cgoblet Analytics is a key ingredient of High Performance. High performers are five times more likely to aggressively use information and analytics to improve decision making and business performance than lower performers.

Transcript of Data to Insight to Action How Analytics can drive High Performance

Page 1: Data to Insight to Action How Analytics can drive High Performance

Data to Insight to ActionHow Analytics can drive High PerformanceChristelle GobletBelux Marketing & Analytics Lead@cgoblet

Page 2: Data to Insight to Action How Analytics can drive High Performance

Analytics is a key source of competitive advantage

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• High performers are five times more likely to aggressively use information and analytics to improve decision making and business performance than lower performers

• Companies that invest heavily in advanced analytical capabilities outperform the S&P 500 on average by 64%

• Companies that invest heavily in developing analytical skills and adopting an analytical mindset recover quicker from economic downturns

Analytics is a key ingredient of High Performance

Source: Accenture research40%

70%

100%

130%

160%

190%

220%

250%

2002 2003 2004 2005 2006 2007 2008 2009

Analytical ShakersS&P 500 Index

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New data sources and technologies make the Analytics opportunity bigger

Utilities Health & Lifesciences

Communications Retail

Financial Services Public Services

Commodity priced storage and computation

Network speed

Cloud architectures

Open source and big data technologies

New approach to unstructured data analysis

New data sources are available for virtually every industry…

… whereas new technologies extend the boundaries of possible applications

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However, for most companies, data remains an underused and underappreciated asset

8 of 10

90%

companies having invested in reporting and business intelligence technology solutions are not achieving the desired goals

of those companies have not achieved their anticipated return on investments for these technology solutions

65%of U.S. companies surveyed acknowledge that they need to improve their analytical capabilities

Source : Accenture research, based on a survey of more than 600 C-level and other senior executives of large companies in the U.S. and U.K.

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What prevent those companies to unlock the value of Analytics?

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“Not everything that can be counted counts, and not everything that counts can be counted”

Albert Einstein

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Sport has been leading the way on analytics for many years. Leveraging data is simply “part of the game” and often a minimum to remain competitive.

They are now showing the way to ensure the right metrics are being selected and integrated in the decision process to generate actual

business outcomes

Wrong metrics or too many metrics

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Data analysis usually generates many possible insights, some more useful than others. A critical review of the statistical analysis through the filter of management experience is what makes the difference

Inability to validate insights

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One attribute shared by high-performing companies is the speed with which managers make decisions

Slow & hesitant execution

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of business decisions are still made based on judgement alone

Cultural resistance

40%

"In God we trust. All others must bring data.” – W. Edwards Deming

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How high performing companies do it

Although the development of analytical capabilities and capacity is obviously important, a focus on data, methods and technology alone will not magically deliver the insights needed for competitive edge.

Data Methods Outcomes

Tools & Technology

People, Leadership& Organization

• Access to and extraction of data• Moving from data to insight

• Insights driving processes andactions to impact results

Process

Decisions

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When they improve on this journey, they can grasp the value of more and more sophisticated analytics

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Some innovative examples from across industries

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Artificial Intelligence in a Natural LanguageFinancial Services

How to bring relevant messages to your customers while supporting your relationship managers to work more efficiently

Paper based or email

Tablet PC

Via workstation

Effective client meeting preparation, contextualizing offers in the client situation

Ready to send client meeting summary, respecting compliance restrictions

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Mobile Marketing Use Case in Retail

50

How do I interact with my connected customers to maximize cross sell opportunities?

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Final thoughts

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Data

Evaluate the opportunity offered by new data sources

Insight

Focus on the right metrics

Action

Create a favorable culture and processes

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[email protected]

@cgoblet

www.accenture.com/analytics

@accenturebelux

@ispeakanalytics

Thank you

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