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Actionable
Intelligence for the
Whole Enterprise
Actionable
Intelligence for the
Whole Enterprise
VP Marketing
& Sales
Web
Entrepreneur
Banking
About me: managing partner at Sensika
The state of the art
Step 1: Harvesting
Step 2: Processing
Step 3: Display
few minutes
Corporate environment
Whereto
Step 1: Harvesting
Step 2: Processing
Step 3: Display
Adaptive workflow, allowing
full-scale collaboration
Assign ...
2012 will mark the transition from
passively monitored data to
actionable data
Now is
the time!
“… Welcome to the future
w...
Def.: Actionable Intelligence
Having the necessary information
immediately available in order to
deal with the situation a...
A campaign of integrating all regional
influencers into the affiliate partner
network of a car dealership
1st
Case
Query:
...
Actionable meta data:
1st
Case
source
Custom
rank
Contact
details
Talking
about
Target
audience
Source
topic
A campaign of lead generation/prospect
creation for a car dealership.
2nd
Case
In plain English: Give me all that are disc...
Actionable meta data:
2nd
Case
user
Gender
Influence
Sentiment
Geo-
location
Following
Followers
Bridge the intelligence – execution gap
Workflow
Integration
Management processes
Operational processes:
Purchasing, Manuf...
Bridge the intelligence – execution gap
within the Corporate Intelligence System
Adaptive
Workflow
• Profile Prospect
• De...
Mirroring the organizational structure#1 Critical
condition
• Hierarchy
• Rights
• Responsibilities
• Connections
Allow actions on top of the dataset
Dataset
Assign
tasks
Delegate
Escalate
Transfer
Request
Re-share
Discuss
Drill-down
Sy...
Enormous boost of self-initiative, autonomous knowledge
building, efficiency, engagement and loyalty!
Allow User Autonomy ...
Conclusion
Step 1: Harvesting
Step 2: Processing
Step 3: Display
Relevant data to
the right people
Adaptive, collaborative...
Conclusion
Step 1: Harvesting
Step 2: Processing
Step 3: Display
Relevant data to
the right people
Adaptive, collaborative...
Conclusion
Step 1: Harvesting
Step 2: Processing
Step 3: Display
Relevant data to
the right people
Adaptive, collaborative...
Konstantin Christoff
Managing Partner
konstantin.christoff@sensika.com
LinkedIn: konstantinchristoff
+359 896 863 500
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II-SDV 2012 Actionable Intelligence for the Whole Enterprise

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II-SDV 2012 Actionable Intelligence for the Whole Enterprise

  1. 1. Actionable Intelligence for the Whole Enterprise Actionable Intelligence for the Whole Enterprise
  2. 2. VP Marketing & Sales Web Entrepreneur Banking About me: managing partner at Sensika
  3. 3. The state of the art Step 1: Harvesting Step 2: Processing Step 3: Display few minutes Corporate environment
  4. 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. 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. 6. Def.: Actionable Intelligence Having the necessary information immediately available in order to deal with the situation at hand.
  7. 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. 8. Actionable meta data: 1st Case source Custom rank Contact details Talking about Target audience Source topic
  9. 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. 10. Actionable meta data: 2nd Case user Gender Influence Sentiment Geo- location Following Followers
  11. 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. 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. 13. Mirroring the organizational structure#1 Critical condition • Hierarchy • Rights • Responsibilities • Connections
  14. 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. 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. 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. 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. 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. 19. Konstantin Christoff Managing Partner konstantin.christoff@sensika.com LinkedIn: konstantinchristoff +359 896 863 500

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