6th annual bi conference nz


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  • 34% year over year increase in operating cash flow.42% year over year improvement in operating profit.41% Year over year increase in organic revenue.nearly 4 times the industry average40% year over year increase in sales pipeline.nearly triple that of the industry average.20% year over year increase in Return on Marketing Investment.more than double the industry average.94% customer retention over previous 12 months.96% employee retention over previous 12 months.Harte Hankes /Aberdeen Group 2012
  • White collar vs Blue collar, known as Gold Collar.
  • Majority of the workforce
  • (travel, calling meetings, VM) Improves Efficiency of decisionAccuracyEliminates logistic hurdles – Captures Human Intelligence.57% from not getting done.
  • 6th annual bi conference nz

    1. 1. 6th Annual Business Intelligence Conference 19-Feb-2013, Auckland New Zealand Ray Major CEO & President Human Intelligence meets Business Intelligence
    2. 2. Big Data
    3. 3. 26% 39% 57% 31% 0% 20% 40% 60% Align business activity to strategic performance indicators (KPI’s) Collaboration on key metrics (Human Intelligence) Enable self-service delivery of BI solutions Deliver BI and analytic capabilities to more users Identify and enhance data sources for use with BI systems Empower knowledge workers (Human Intelligence) BI without boundaries (Human Intelligence) Disparate data and big data (Business Intelligence) What do Best in Class companies want from a solution?
    4. 4. What are the characteristics of companies with Best in Class BI implementations? Companies whose executives were best able to identify and exploit tangible opportunities for top and bottom line enhancement. Harte Hankes /Aberdeen Group 2012 In other words: They used data to make decisions that drove better business decisions
    5. 5. What type of advantage do Best in Class Companies Enjoy?
    6. 6. What’s the Problem? • Most companies approach BI as an engineering problem that requires a software package to solve a business problem • The end user questions come from a place of “Human Intelligence” and are psychological and sociological. • They are not technical “Business Intelligence” questions.
    7. 7. “Technology” is only half the problem. “Humans” are the bigger half. Ray Major 2012
    8. 8. The rise of the Knowledge Worker
    9. 9. The Knowledge Worker The new BI Audience Fundamental shifts in the workforce lead to new demands for data 0% 10% 20% 30% 40% 50% 60% 70% 80% 90% White Collar Blue Collar
    10. 10. The largest part of your workforce
    11. 11. What are their Characteristics? • Spend 15-30% of their working time with actively searching for information, about 50% is considered to be successful. • 2.1 hours per day are lost by interruptions and diverting attention in a multitasking environment (Basex 2006). • Workers reacted to 40% of the e-mails within 4 seconds. They needed 15 minutes to resume their tasks. (Iqbal & Horwitz 2007)
    12. 12. ` 2.4 hrs Effective work hours per day If you could just increase this by half an hour -- for 100 person company = 15,000 hrs. of productivity per year!
    13. 13. Bringing order to what is inherently disordered, making sense out of what is inherently non-sense
    14. 14. A Business is a collection of Decisions • 500 Decisions per day X 100 workers = 50,000 decisions per day 50,000 decisions per day X 300 work days per year = 15,000,000 decisions per year Decisions require Human Intelligence Various studies range between 612 and 3,500 decisions per day
    15. 15. Human Intelligence Continuum How decisions are made Researching Absorbing Interacting Reflecting Knowledge
    16. 16. Business Intelligence Continuum Human I nt el l i genc e Dat a War ehousi ng Vi sual i sat i on Col l abor at i o n How decisions are made Researching Absorbing Interacting Reflecting Knowledge
    17. 17. Business Intelligence circa 2012 Business Intelligence
    18. 18. Business Intelligence meets Human Intelligence circa 2013 IT Statisticians DBA’s Data Entry • POS • ERP • HR Business Intelligence Human Intelligence Human Intelligence Human Intelligence Accountants Line Managers Designers Product Managers CEO Corporate Strategists Senior Managers Long Time Employees Subject Matter Experts
    19. 19. The value derived from “Business Intelligence” comes not from the data itself, but from the “Human Intelligence” to interpret, interact with, and learn from the data.
    20. 20. Collaboration – core to BI initiative • Share knowledge • Discuss anomalies • Shorten decision-making loop • Involve right people Human Intelligence is your biggest untapped Competitive Advantage
    21. 21. Accomplishments of the past two decades • Overcome silos of data • Central repositories • Enabling technologies for data access
    22. 22. Challenges faced today • Workers are still in silos Marketing SalesFinance
    23. 23. CEO sees : Margins 14% If you have a minute, can someone tell me why are margins are down 14% this month?? Marketing SalesFinance CEO asks : Hey guys … Played out daily across the country
    24. 24. Current BI tools allow access to data Collaboration and conversations remain outside the tool
    25. 25. Collaboration breaks down Silos • Human Intelligence becomes Collective Intelligence. • Collective Intelligence results in better decisions • Empower Organic Intelligence
    26. 26. Social Business Intelligence “Community” aspect of social becomes integral for collaborative contribution Meets the new generations skills and expectations of information delivery Decisions leverage knowledge – Ideas and information are collected – Perspectives are shared – Options are developed
    27. 27. BI without Boundaries (Human Intelligence and the Business Ecosystem) Employees 43% of workforce works remotely Customers • Self Service BI • What did we order in the last 6 months? Partners • Collaborative Decisions • Check inventory levels Supplier • Comparative Performance • Stock is left at each store?
    28. 28. What differentiates Best in Class BI solutions from the rest? “the ability to exploit the data and transform it into useable business insight” Aberdeen Group 2011, survey of 370 executives In other words: Where Business Intelligence meets Human Intelligence
    29. 29. 26% 39% 57% 31% 0% 20% 40% 60% Collaboration on key metrics (Human Intelligence) Empower knowledge workers (Human Intelligence) BI without boundaries (Human Intelligence) Disparate data and big data (Business Intelligence)