2014 International Summit London International Summit London - Welcome. Afternoon Agenda. Visit our Solutions Showcase NEW

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1 2014 International Summit London 2014 International Summit London - Welcome Welcome Peter Walker Country Manager UK & Ireland This year s theme Morning Agenda Welcome Peter Walker Break and Solutions Showcase Intelligence for Everyone Sylvain Pavlowski, Michael Corcoran + Peter O Grady Lunch and Solutions Showcase 10:00 10:05 10:50 11:20 11:50 12:30 13:30 Start Creating a Data Driven Business Gary Barnett Optimising the Customer Experience through Mobile Web Analytics Anthony Payne + Suzanne van Tienen Afternoon Agenda Visit our Solutions Showcase InfoApps Interactive self-service BI applications for all users on all devices Gary Pemberton Governed Data Discovery Peter O Grady NEW Close Peter Walker Drinks 13: :15 14: :05 15:10 15:20 16:30 End Achieving better Operations and Analytics through Master Data Management Jeremy Pritchard Let your data talk Activate Intelligent Decisions with Predictive Analytics Gary Pemberton App Studio for the Developer Studio User Making the Transition Paul Phillips InfoAssist for the Power User Paul Phillips

2 Competition 1 Competition 2 Get Social with Information linkedin.com/companies/informationbuilders facebook.com/informationbuilders google.com/+informationbuilders forums.informationbuilders.com xing.com/companies/informationbuilders Social at today s Summit Follow the conversation: If you tweet and include #IBSummit You ll be entered into a prize draw to win 100 Amazon Voucher! #IBSummit youtube.com/informationbuilders Thank you and Enjoy the Day Creating a Data Driven Business Gary Barnett Principal Analyst for Ovum

3 What we re going to talk about Hello! The journey to a data driven business Again From Broccoli to dessert Creating a data driven business Some trends and wild predictions Picking a partner Cloud Looking beyond the technology Gary Barnett, Ovum gary.barnett@ovum.com Analytics (and big data) Mobile Social Three things Plus some bonus things 14 Cloud Trends and wild predictions Gary Barnett Data Mobile Tape library, CERN, Geneva 2 by Cory Doctorow / CC BY-SA Wikimedia 17 18

4 Internet of things My Baby Nico flickr Gary Barnett Social Notes on big data Kathleen flickr The real value of big data is. Little data Pretty much every penguin has the same needs and wants 23 24

5 In many cases we can make reliable assumptions about the majority Except this one A little bit of data Look out for the Penguin in a party hat Data is sociable Data is sociable The Journey 29 30

6 BI and Analytics tools are just tools There s no such thing as a Unicorn Public Domain Derived from: - Fallacia83 and (Salix) Remember your mission Be a sherpa (SarahStierch) - Copyright Ovum. All rights reserved. Ovum is Ccsionline part of Informa Group Eat your greens Make sure you remember dessert Public Domain Gary Barnett Creative commons CC BY-SA

7 Becoming a data driven business Know what you know Every organization knows more than it thinks Don t forget what you re in business for We re all employed to support our organization s overall mission Help your LOB clients get the glory Picking a partner Think about the things that will help them succeed Don t forget the dull stuff Keeping fit isn t necessarily fun, but it s essential You should be looking for a relationship A good partner will lend a hand Three things Always keep your eyes on the prize Three things You re delivering business benefit, not reports Eat your greens Lay the groundwork Choose a partner that will help you be successful Technology is only a part of the picture 41 42

8 Bonus things Get to know at least one other attendee today Someone you ll stay in touch with Get to know at least one new person from Information Builders They re actually rather nice Thank you! and enjoy the day Gary Barnett, Break Optimising the Customer Experience through Mobile Web Analytics Anthony Payne Suzanne van Tienen Netbiscuits More than 14 years experience in mobile Optimising the customer experience through Mobile Web Analytics WAP (WML) Proprietary ML (XML) HTML5 (+ CSS3) RWD (RESS and Adaptive)

9 New market opportunity mobile web analytics 30% More tablet models in Q compared to last quarter 2016 Google Glass becomes a mainstream product? 300% Growth in number of smart watches in 2014 compared to % million smartphones sold in Q In 2014: Number of mobile users surpasses desktop globally 7 billion Mobile subscriptions by end 2014 Netbiscuits Mobile Analytics Project Requirements Time-to-market: required an end-to-end solution as we lacked the time or expertise to assemble from components Mission-critical: required building a product for sale, required enterprise grade, from product quality to support, reliability and responsiveness of the team Scale: existing customer base meant immediate scale followed by significant expected growth; performance was critical for impatient users Key features: flexible reporting logic, multiple data types, real-time data aggregation Netbiscuits Device Detection Server Netbiscuits Logging Server Solution Architecture Overview Logfile Logfile fluentd fluentd MongoDB IBI Reporting Engine (WebFocus) Different devices for different scenarios Netbiscuits Transcoding Server Logfile fluentd Netbiscuits Device Detection Netbiscuits DataCollector Netbiscuits Application API IBI Data Store & ETL Server (HyperStageDB) Context and device vary hugely track the differences and take advantage

10 Create personas based on behaviours and preference Example of behaviour variation in mobile Proportion of traffic, by hour, all devices. Weekend vs weekdays Proportion of traffic in each hour, tablet vs mobile phone 12% 10% 8% Lunchtime rush Night in during the week? 12% 10% 8% Night owls Caffeine Lunchtime Commuters browsers Sofa surfers 6% 4% Weekend lie-in 6% 4% Identify how different profiles engage in order to increase conversions 2% 0% 0:00 1:00 2:00 3:00 4:00 5:00 6:00 7:00 8:00 9:00 10:00 11:00 12:00 13:00 14:00 15:00 16:00 17:00 18:00 19:00 20:00 21:00 22:00 23:00 Weekday Night out at the weekend? Weekend 2% 0% 0:00 1:00 2:00 3:00 4:00 5:00 6:00 7:00 8:00 9:00 10:00 11:00 12:00 13:00 14:00 15:00 16:00 17:00 18:00 19:00 20:00 21:00 22:00 23:00 Tablet Mobile Phone Profile web visitors based on capabilities Make content and UX decisions to maximise conversion Mobile continues to drive huge data growth Netbiscuits Mobile Analytics: 2.5 million data points collected per second 6 billion page hits to date Growth in mobile set to continue: Mobile traffic as a share of all web visits to reach 30% by end of 2014 Mobile data will rise to 190 exabytes by 2018 (from 1.5 today) Thank You Anthony Payne Director of Product Marketing a.payne@etbiscuits.com Suzanne van Tienen Product Manager s.citro@netbiscuits.com

11 Information Builders Intelligence for Everyone Sylvain Pavlowski Intelligence for Everyone Improving Enterprise Intelligence Sylvain Pavlowski Peter O Grady Intelligence for Everyone What is it? Intelligence for Everyone - Benefits Create an environment that enables the connected and extended Enterprises to strategically transform their business to gain competitive advantage, find new revenue opportunities and optimise their cost structure Gain insight through value added customer experiences to increase satisfaction and loyalty Address the needs of all user populations across the enterprise and outside the organization Mobile enablement for BI on the go on ALL devices Extend Analytical applications to create new revenue opportunities and deliver higher margins The world is changing The 3 on-going revolutions : Mobility : more data consumerisation, connected and disconnected, on any device, for Everyone Real Time : Provide context to information at any time Event Driven : provide accurate business view in real time Predictive 3 Key components to enable Intelligence for Everyone # 1 - DATA Monetizing Data as corporate asset : a 10% Increase in Data Accessibility translates into an additional 65.7M$ in net income for a typical fortune 1000 Baseline According to author Larry English, data quality issues are costing companies 20-35% of their operating revenue Thinking the change ahead : Data in Motion and Data at rest Real Time Data Movement Include context to enrich value Big Data Available on any device To all and Trusted (IT Centric) Objectives : Fully Integrated Data Experience Information Relevance and Trust

12 The Data Value The Data Value $$$$ Business Event $$$$ Business Event The value of Data is a function of time Data Collected Data Collected $$$ $$$ Business Value $$ Data Set Presented to User Decision Made Business Value $$ Data Set Presented to User Decision Made $ Action Taken $ Action Taken Time Time 3 Key components to enable Intelligence for Everyone # 2 - Wider Processes = Richer Analytics Need for Predictive and Event Driven Strategically transform the enterprise > The Analytical challenge Widening Data Access in processes (360 view) Enterprises are not efficient within silos Break the 20/20 rule 3 Key components to enable Intelligence for Everyone # 3 Information Consumer : A new Paradigm Adapt the information consumption to Digital natives Multiple business cases (DD, Statistical, Reporting) Connected and Disconnected Different ways of consuming the same information BYOD : a reality in Enterprises Connected Enterprise : Expand reach beyond the Firewall Include enterprise eco-system CRM ERP Marketing Objective : Business Agility and Adaptability Objective : Empower Intelligence for Everyone Business Value Quadrant Measuring the Value Intelligence for Everyone What to look for? Data Business Insight Information Access Trust Adoption Economies of Scale Information Relevance and Trust Lower TCO Fully Integrated Data Experience IT Business Value Strategic Business Transformation Intelligence for Everyone Business Process Optimisation Business Agility and Adaptability Business - Integrated Platform : Integration, Integrity and Intelligence in a single platform - Application Mash-up : Combine any type of application, customisable experience - Robust Analytical platform : Mobile Agnostic, Blending of social and corporate data - Real time, Event Driven and Predictive : Real time decision making, Statistical models

13 Intelligence for Everyone Lunch Peter O Grady 2014 International Summit London