The document discusses actionable intelligence for the whole enterprise. It describes a three step process: 1) harvesting data, 2) processing the data, and 3) displaying the data to the right people. It emphasizes the need for an adaptive, collaborative workflow to bridge the gap between intelligence and execution. The system should mirror the organizational structure, allow actions on datasets, and provide user autonomy to boost engagement. This will provide relevant data to the right people through an adaptive, collaborative workflow to get work done across the corporate environment.

1. Actionable
Intelligence for the
Whole Enterprise
Actionable
Intelligence for the
Whole Enterprise

2. VP Marketing
& Sales
Web
Entrepreneur
Banking
About me: managing partner at Sensika

3. The state of the art
Step 1: Harvesting
Step 2: Processing
Step 3: Display
few minutes
Corporate environment

4. Whereto
Step 1: Harvesting
Step 2: Processing
Step 3: Display
Adaptive workflow, allowing
full-scale collaboration
Assign tasks, Manage assignments, Interact
with on data, Collaborative analysis,
Engage, Raise awareness, Transfer
knowledge, Request data etc.
few minutes
Corporate environment

5. 2012 will mark the transition from
passively monitored data to
actionable data
Now is
the time!
“… Welcome to the future
where winners are determined
by who arrives first with the
most intelligence…”
Tony Greenberg
CEO RampRate

6. Def.: Actionable Intelligence
Having the necessary information
immediately available in order to
deal with the situation at hand.

7. A campaign of integrating all regional
influencers into the affiliate partner
network of a car dealership
1st
Case
Query:
(Mercedes AND (Consultant OR
Expert) AND SourceCountry:(United
States) AND SourceLocation:(Georgia)
AND SourceSection:(Contact))
In plain English: Give me all that act as Mercedes Benz
experts/consultants in the state of Georgia

8. Actionable meta data:
1st
Case
source
Custom
rank
Contact
details
Talking
about
Target
audience
Source
topic

9. A campaign of lead generation/prospect
creation for a car dealership.
2nd
Case
In plain English: Give me all that are discussing/
speculating with the possibility of purchasing a Mercedes
now from the state of Maryland
Social Query:
(buy AND Mercedes) AND SourceCountry:(United States) AND
SourceLocation:(Georgia) AND sentiment:(Positive))

10. Actionable meta data:
2nd
Case
user
Gender
Influence
Sentiment
Geo-
location
Following
Followers

11. Bridge the intelligence – execution gap
Workflow
Integration
Management processes
Operational processes:
Purchasing, Manufacturing, Advertising and Marketing,
and Sales.
Supporting processes:
Accounting, Recruitment, Call center, Technical
support.

12. Bridge the intelligence – execution gap
within the Corporate Intelligence System
Adaptive
Workflow
• Profile Prospect
• Develop Solution
• Arrange Meeting
• Invite to Event
• Profile Contact
• Make Introduction
• Import into CRM
• Create Offer
• Send Offer
Marketing department Sales department

13. Mirroring the organizational structure#1 Critical
condition
• Hierarchy
• Rights
• Responsibilities
• Connections

14. Allow actions on top of the dataset
Dataset
Assign
tasks
Delegate
Escalate
Transfer
Request
Re-share
Discuss
Drill-down
Synthesize
Compare
Re-arrange
Refine
Save
Report
#2 Critical
condition

15. Enormous boost of self-initiative, autonomous knowledge
building, efficiency, engagement and loyalty!
Allow User Autonomy within the
Corporate Intelligence System
Personal:
• Spaces
• Datasets
• Queries
• Reports
#3 Critical
condition

16. Conclusion
Step 1: Harvesting
Step 2: Processing
Step 3: Display
Relevant data to
the right people
Adaptive, collaborative
workflow
To get the job done
Corporate environment

17. Conclusion
Step 1: Harvesting
Step 2: Processing
Step 3: Display
Relevant data to
the right people
Adaptive, collaborative
workflow
To get the job done
Corporate environment

18. Conclusion
Step 1: Harvesting
Step 2: Processing
Step 3: Display
Relevant data to
the right people
Adaptive, collaborative
workflow
To get the job done
Corporate environment

19. Konstantin Christoff
Managing Partner
konstantin.christoff@sensika.com
LinkedIn: konstantinchristoff
+359 896 863 500