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The Chief Marketing Officer (CMO) Council and SAS will team to take an active thought leadership role in advancing the state of Customer Intelligence in the rapidly evolving Asia Pacific (APAC) region. This best practice, knowledge brokering initiative, and dialogue series looks at how using high performance analytics (HPA) yields better, faster marketing decision making and more valued, profitable customer engagement.
2Degrees (New Zealand) - Malcom Phillipps, Chief Marketing Officer AA Insurance (New Zealand) - Richard Park, Head of Marketing ASB (New Zealand) - Neil Hanna, Head of Customer & Marketing Analytics Australia Post - John Moore, General Manager Marketing & Customer Experience Commonwealth Bank of Australia - Geoffrey Kerry, Head of Analytics GE Capital (Australia) - Renae Smith, Marketing Director Genesis Energy (New Zealand) - Christopher Watney, Head of Sales & Marketing George Weston Foods (New Zealand) - Sandra Geange, General Manager Marketing ING BOB Life Insurance (Beijing) - Pieter-Bas Vos, Chief Marketing Officer ING Direct (Australia) - Carlie Lau, Head of Marketing Korvac (Singapore) - Jos Birken, Chief Marketing Officer Loyalty (New Zealand) - Chris Lamers, Head of Customer Engagement Medibank (Australia) - Chris Carroll, GM Marketing & Group Brand New Zealand Post - Hamish Mitchell, Head of Marketing & Insight Pan Pacific Hotels Group (Singapore) - Kittisak Eh Chuei, Director of Loyalty Marketing PayPal (Singapore) - Yogesh Sangles, Regional Head of Marketing Singtel (Singapore) - Mike Sherman, Head of Center of Exellence & Business Intilligence Southern Cross Health Society (New Zealand) - Emma Mathews, Marketing & Brand Manager Suncorp Australia - Mark Reinke, Executive General Manager, Group Marketing Tata (Mumbai) - Veetika Deoras, VP Brand Marketing and Corporate Communications Telecom Retail (New Zealand) - Chris Thompson, Head of Marketing Telstra (Australia) - Liz Moore, Chief Marketing Officer Unilever (Singapore) - Rudratej Singh, Global Brand Director
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This study will include an assessment of customer intelligence progress and an identification of where and how key verticals can benefit from the adoption of High-Performance Analytics to “Improve Every Marketing Move.” A series of “discovery” discussions with banking, insurance and telco marketers in ANZ and Southeast Asia will cumlinate into a strategic brief, which will be the topic of conversations during dinner dialogues with CMO Council members in Auckalnd, Melbourne, Singapore and Sydney during Q2, 2012. Topics of conversation will include:
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93% of executives believe their organization is losing revenue – on average, 14% annually – as a result of not being able to fully leverage the information they collect - Oracle 2012 A new IDC study says the market for big data technology and services will grow from $3.2 billion in 2010 to $16.9 billion in 2015 - CIO Insight 2012 If an average Fortune 1000 company can increase the usability of its data by just 10%, the company could expect an increase of over 2 billion dollars - InsightSquared Infographic 2012 Data volume is growing 40% per year, and will grow 44x between 2009 and 2020 - McKinsey Global Institute 2011 29% of organizations in the APEJ region are evaluating “Big Data” tools and over 30% still do not have plans regarding these technologies – IDC 2011 38% of organizations surveyed reported practicing advanced analytics, whereas 85% said they would be practicing it within three years – TDWI 2009 Over 65% of the 1,300 CIOs and IT decision makers who participated in a recent Asia/Pacific excluding Japan (APEJ) survey consider Business Analytics (BA) a top priority for their organization, both in the short and long term. – IDC 2011 Worldwide IT spending will grow 6.9 per cent year-over-year to US$1.8 trillion in 2012. As much as 20 per cent of this total spending will be driven by smartphones, media tablets, mobile networks, social networking and Big Data analytics - IDC 2011 33 percent of business intelligence functionality will be consumed via handheld devices by 2013 - Gartner 2011 By 2014, 30 percent of analytic applications will use in-memory functions to add scale and computational speed. By 2014, 30 percent of analytic applications will use proactive, predictive and forecasting capabilities - Gartner 2011 |
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High-Performance Analytics – SAS Magic Quadrant for Business Intelligence Platforms - Gartner Supply Chain Analytics Implementation during Business Transformation - Infosys Big Data: The Next Frontier for Innovation, Competition, and Productivity - McKinsey Global Institute
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