6 th Annual Business Intelligence Conference 19-Feb-2013, Auckland New Zealand Ray Major CEO & President Human Intelligence meets Business Intelligence
6th Annual Business Intelligence Conference19-Feb-2013, Auckland New Zealand
Ray MajorCEO & President
Human Intelligencemeets
Business Intelligence
WHY ARE YOU HERE?
Learn more about Business Intelligence
Changes in the BI IndustryBig Data
Data Governance
Self-serve BI
Agile
Implementations
Key Performance Indicators
EMPOWERING HUMAN INTELLIGENCE
0% 10% 20% 30% 40% 50% 60%
26%
39%
57%
31%
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?
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
What type of advantage do Best in Class Companies Enjoy?
+34% CASH FLOW+42% PROFIT
+41% REVENUE
+40% SALES PIPELINE +20% RETURN ON MARKETING
94% CUSTOMER RETENTION 96% EMPLOYEE RETENTION
4X
2X3X
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.
70-80% OF BI PROJECTS FAIL
“Technology” is only half the problem.
“Humans” are the bigger half.Ray Major 2012
The rise of the Knowledge Worker
WHO REALLY IS THE BI AUDIENCE?
The Knowledge Worker
The new BI Audience
Fundamental shifts in the workforce lead to new
demands for data
192
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945 1
950 1
955 1
960 1
965 1
970 1
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995 2
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005 2
010
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
White Collar
Blue Collar
The largest part of your workforce
PEOPLE WHO “THINK” FOR A LIVING
What are theirCharacteristics?
• 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)
`
2.4 hrsEffective 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!
Bringing order to what is inherently disordered,making sense out of what is inherently non-
sense
DECISIONS DECISIONS
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
Human Intelligence ContinuumHow decisions are made
Researching Absorbing Interacting Reflecting
Knowledge
Business Intelligence Continuum
HumanIntelligence
Data Warehousing
Visualisation
Collaboration
How decisions are made
Researching Absorbing Interacting Reflecting
Knowledge
Business Intelligence circa 2012
Business Intelligence
Business Intelligence meets Human Intelligence circa 2013
ITStatisticiansDBA’sData Entry
• POS• ERP• HR
Business Intelligence
Human Intelligence
Human Intelligence
Human Intelligence
AccountantsLine Managers
DesignersProduct Managers
CEOCorporate Strategists
Senior Managers
Long Time Employees
Subject Matter Experts
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.
Collaboration – core to BI initiative
• Share knowledge
• Discuss anomalies
• Shorten decision-making loop
• Involve right people
Human Intelligence is your biggest untapped Competitive Advantage
Accomplishments of the past two decades
• Overcome silos of data • Central repositories• Enabling technologies for data access
Challenges faced today
• Workers are still in silos
Marketing SalesFinance
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
New
#1Priority
Current BI tools allow access to data
Collaboration and conversations remain outside the tool
email Text Message
SkypePhone call
Meeting
Reports
Instant Messaging
Collaboration breaks down Silos
• Human Intelligence becomes Collective Intelligence.• Collective Intelligence results in better decisions• Empower Organic Intelligence
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
BI without Boundaries (Human Intelligence and the Business Ecosystem)
Employees43% 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?
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
0% 10% 20% 30% 40% 50% 60%
26%
39%
57%
31%
Collaboration on key metrics(Human Intelligence)
Empower knowledge workers(Human Intelligence)
BI without boundaries(Human Intelligence)
Disparate data and big data(Business Intelligence)
TO EMPOWERHUMAN INTELLIGENCE