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www.pwc.com Queens University Business Intelligence in the real world Gareth Diamond Contents 1. Recap on last week's lecture 2. Key Messages 3. Emerging trends in Business Intelligence 4. How clients are implementing BI to realise value 5. Hype versus reality PwC 2 1. Covered last week 1. What is Business Intelligence and Analytics? 2. Why do businesses need BI&A? In a moment... 3. Business challenges in implementing BI 4. BI isn’t new, so what’s different? PwC 3 2. What is Business Intelligence and Analytics? • BI&A is the collective term for strategies, methods and tools that empower an organisation to unlock value from their data. • It is the key to an organisation making better decisions using relevant, reliable and timely data. Enterprise Reporting Data Mining Modelling Alerts and Notifications Data Visualisation BI Strategy and Roadmap OLAP Analysis Predictive Analytics BI Competency Centre Data Cubes Forecasting • Without it, businesses would make poor decisions based on gut instinct alone. Scorecards Business Process Modelling PwC Text Mining Dashboards Mobile BI 4 3. Why do businesses need BI&A? BI&A provides a solution to key client challenges… New Insights – How can I obtain insights that can help pinpoint new revenue-generating opportunities and improve operational efficiencies and visibility across the organization? Relevant, reliable and timely data – How do I ensure I have the right data at the right time to improve my decisionmaking capability? Spreadsheet Reporting – How do I reduce my reliance on spreadsheets for forecasting or reporting, and reduce resources spent on manual reworking of data? Optimise IT Investment – How do Optimizing the return on existing business and IT investments such as data management, relationship management and enterprise resource planning technology. Increased regulatory pressures – How do I provide the necessary reports and analysis to meet future regulatory demands? Single Version of the truth – How do I get insights on a comparable basis from across the organisation, e.g. a global view of my customer, product or brand. PwC 5 4. Business Challenges in implementing BI 1. Unclear Business objectives 6. Requirements are Technology led 2. Ownership – CFO, CIO? 7. Existing technology complexity 3. Business buy-in due to previous 8. Data Quality failures 4. Business changes 9. Implementation approach 10.Cost & Return on investment 5. Lack of Skills • Business • Technical PwC 6 5. BI isn’t new, so what’s different? 1. Competitive advantage – what value is first mover advantage? 2. Rapidly changing external environment e.g. • Market – need to be more competitive and reduce costs • Regulations – increasing post the crash on all businesses • Shareholders – want better performance and transparency • Customers – demanding greater value for money 3. Information overload - ‘drowning in data but starved for knowledge’ (John Naisbitt) 4. Technology investments failing to deliver promised RoI; • Lack of business ownership • ERP & Operational/’silo’d’ reporting solutions • Data is not managed as a corporate asset PwC 7 Key Messages 1. Business Intelligence, while always important, is now critical to allow businesses to; • Manage risk and regulatory challenges • Drive operational efficiency • Enhance value and revenues 2. Helps businesses overcome the underlying technological complexity 3. Increasing volume of data requires businesses to have good underlying data management 4. Businesses are likely to have different levels of ‘maturity’ in the skills and abilities required to deliver good business intelligence 5. Implementing BI in a business is not easy and has a number of business, and then, technology challenges PwC 8 1. Emerging trends in BI Competitive Intelligence Hardware Analytics Data Quality Bureau On-demand Analytics Cloud Computing Big Data Information Asset Management Data Visualisation Master Data Management Operational Data warehouses Drill-Down Reporting SOA (Service Orientated Architecture) Enterprise Information Integration BI Competency Centres PwC SaaS/PaaS 9 1. Emerging trends in BI – Data Data Quality Bureau Information Asset Management Cloud Computing Big Data Master Data Management Operational Data warehouses Enterprise Information Integration BI Competency Centres PwC 10 1. Emerging trends in BI – Data A service (internal or external) that provides DQ capabilities Data Quality Bureau A means by which to deliver technology – renting rather than owning Information Asset Management Cloud Computing Big Data Utilise ever growing sources and volumes of data to achieve new insight Approach to treat Information as an asset in the same way as £ or staff Master Data Management Operational Data warehouses Ensuring trusted definition of key information Data sources containing specific operational data e.g. HR, Finance Connecting information across the enterprise Enterprise Information Integration BI Competency Centres Dedicated skills/business function to support Business intelligence with business and technology skills PwC 11 1. Emerging trends in BI – Reporting & Analytics Competitive Intelligence Hardware Analytics On-demand Analytics Cloud Computing Big Data Data Visualisation Operational Data warehouses Drill-Down Reporting BI Competency Centres PwC SaaS/PaaS 12 1. Emerging trends in BI – Reporting & Analytics Competitive Intelligence Hardware Analytics Prebuilt Servers and software bundles, optimised for analytics On-demand Analytics Cloud Computing Big Data Having Analytics carried out by a 3rd party using your Data. Data Visualisation Combining and presenting Data using visually rich techniques so as to derive new insight Operational Data warehouses Drill-Down Reporting Ability to ‘drill’ down from high level report/figures to underlying detail BI Competency Centres SaaS/PaaS Software or Platform – as a service PwC 13 PwC Reporting & Analytics Layer Economics Finance Document Exports Operations Operational Reports People Strategy Technology Dashboards GRC Analytics Business Intelligence Applications Analytics Applications Data Mart Cubes Operational Data Store Data Warehousing Data Management Client Data Data Quality Data Profiling Master Data Management ETL CRM Enterprise Resource Platform Transaction Data Other Data Business Intelligence Competency Centre Analytical Queries Analytical Services BI&A Platform Enterprise Information Platform Source PwC Analytic Team Output 2. How clients are implementing BI to realise value 5. Hype versus Reality PwC 15 Business Intelligence and Analytics Any Questions? http://spotfire.tibco.com/ http://www.tableausoftware.com/ http://www.qlikview.com/uk http://data.gov.uk/data This publication has been prepared for general guidance on matters of interest only, and does not constitute professional advice. You should not act upon the information contained in this publication without obtaining specific professional advice. No representation or warranty (express or implied) is given as to the accuracy or completeness of the information contained in this publication, and, to the extent permitted by law, PricewaterhouseCoopers LLP, its members, employees and agents do not accept or assume any liability, responsibility or duty of care for any consequences of you or anyone else acting, or refraining to act, in reliance on the information contained in this publication or for any decision based on it. © 2011 PricewaterhouseCoopers LLP. All rights reserved. In this document, “PwC” refers to PricewaterhouseCoopers LLP which is a member firm of PricewaterhouseCoopers International Limited, each member firm of which is a separate legal entity.