The document summarizes a presentation given at the 6th Annual Business Intelligence Conference in Auckland, New Zealand. The presentation discusses how business intelligence needs to meet human intelligence to be most effective. It argues that while technology provides access to data, human collaboration and conversations are needed to derive insights. It promotes the idea of social business intelligence and removing boundaries to enable employees, customers, partners and suppliers to collaborate on business intelligence. The goal is to leverage collective human intelligence for better decision making.

1. 6th Annual Business Intelligence Conference
19-Feb-2013, Auckland New Zealand
Ray Major
CEO & President
Human Intelligence
meets
Business Intelligence

2. Big Data

4. 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?

5. 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

6. What type of advantage do Best in Class
Companies Enjoy?

7. 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.

8. “Technology” is only half the problem.
“Humans” are the bigger half.
Ray Major 2012

9. The rise of the Knowledge Worker

10. 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

11. The largest part of your workforce

12. 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)

13. `
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!

14. Bringing order to what is inherently disordered,
making sense out of what is inherently non-sense

15. 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

16. Human Intelligence Continuum
How decisions are made
Researching Absorbing Interacting Reflecting
Knowledge

17. 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

18. Business Intelligence circa 2012
Business
Intelligence

19. 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

20. 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.

21. Collaboration – core to BI initiative
• Share knowledge
• Discuss anomalies
• Shorten decision-making loop
• Involve right people
Human Intelligence is your biggest untapped
Competitive Advantage

22. Accomplishments of the past two decades
• Overcome silos of data
• Central repositories
• Enabling technologies for data access

23. Challenges faced today
• Workers are still in silos
Marketing SalesFinance

24. 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

25. Current BI tools allow access to data
Collaboration and conversations remain outside the tool

27. Collaboration breaks down Silos
• Human Intelligence becomes Collective Intelligence.
• Collective Intelligence results in better decisions
• Empower Organic Intelligence

28. 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

29. 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?

30. 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

31. 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)