2. Through the Eyes of Data
Harry Blount Discern
Through the Eyes of Data

3. Through the Eyes of Data
COFES 2017

4. Overview
$225T of capital is allocated every day using pre-internet tools and processes
Companies that create a Sustainable Competitive Information Advantage will thrive
We will discuss the 4 major pitfalls of using big data for decision-making
Proven methodology for achieving a 100x improvement over current processes
Putting the right data, in the right place, at the right time in the right business context

6. Superior Decision-Making Wins
What if…
Superior
Decision-Making Wins
…all the business rules and norms were about to change?
Superior Decision-Making Wins
2000s
1980s
Total Debt
Interest Rates
Demographics ?
Everybody
Makes Money
1960s
2000s
Superior
Decision-Making Wins
1980s
2017
Everybody
Makes Money
1960s
2000s
Superior
Decision-Making Wins
1980s
2015s

7. Industry Remains Reliant on Pre-Internet Tools…
Growing Gap Between Data Growth and Ability to Identify Actionable Insights
Industry Remains Reliant on Pre-Internet Tools…
Information of Everything
NextGen
Insight
Platform
Internet
Data Available
Data Generated
Opportunity
Lost
Spreadsheets
Libraries
Person
Data Interpreted
Time

8. Sources of Lost Return Insufficient, fragmented data Antiquated,
pre-Internet tools
Episodic manual
processes
Bias and
Blind spots
Benchmark
Returns
Relative Actual Returns

9. The World is Awash in Data
Insufficient,
fragmented data
Where Do You Start?

10. ? How Do You Identify the Optimal Data? Key Challenge:
Supply
Demand
Transaction
Valuation
Asset
Product
Marketplace
Entity ?
Key Challenge:
Awareness of all available data sets
Source of Competitive Advantage:
Enables you to focus resources on developing proprietary data where holes in public and commercial sources are lacking.

11. Many Rapidly Emerging Tools and Services Sources of Lost Return
Insufficient,
fragmented data
Antiquated,
pre-Internet tools
On-demand:
Processing
Storage
Bandwidth
Analytic tools

12. Sources of Lost Return Insufficient, fragmented data Antiquated,
pre-Internet tools
Episodic manual
processes
Identify
Load
Aggregate
Normalize
Synthesize
Model
Analyze
Visualize
Share
Monitor & Update

13. Data Utility Services
Persistent:
Requires:
Federated real-time data aggregation
Object-attribute data model
Continuous data link augmentation
Data loading
Data aggregation
Data normalization
Data synthesis
Enterprise Tools
Personal Tools
Emerging Platforms
All Relevant Data, Always-up-to-date, Delivered to Customers’ Desired Tools

14. Visualization Automation
Persistent:
Data visualization
Requires:
Object-attribute model
Object Visuals
Tagging
Companies
Marketplaces
Assets
Benefit:
Image specific analytics
Always up to date business images – more discoverable, usable, valuable

15. Report Automation Persistent: Up-to-date Reports On a schedule
On demand
On an event

16. Monitoring Automation
Persistent Monitoring of event types:
State change
Threshold breach
Pattern Match
Immediate notification of events users care about

17. Signals-As-A-Service™ Hurricane Matthew Wipes Out Key Supplier
Company
Price
Units
Asset
Marketplace
Supplier
Product
Location
of Asset
Customers
Company
Price
Company
Price
Product
Product
Marketplace
Asset
Units
Hurricane Matthew Wipes Out Key Supplier
Asset
Show linkages happening being mapped from data store to (companies, products, assets, markets) [  #1 Aggregated data #2 create linkages and place in 4 buckets >  #3 updates to the data buckets / get to consume data any way I want / customization  CHANGE TO: "MARKET PLACES"  Depict the PROCESSES: Capture, SYNTHESIZE!!, Deliver/  Action happens either outside or inside the discern circle. 
Price
Product
Location
of Asset
Company
Customers
Units
Asset

18. Signals-As-A-Service™ Negatively impacting the company and customers…
Price
Units
Asset
Marketplace
Supplier
Product
Location
of Asset
Customers
Company
Price
Product
Asset
Units
Negatively impacting the company and customers…
Show linkages happening being mapped from data store to (companies, products, assets, markets) [  #1 Aggregated data #2 create linkages and place in 4 buckets >  #3 updates to the data buckets / get to consume data any way I want / customization  CHANGE TO: "MARKET PLACES"  Depict the PROCESSES: Capture, SYNTHESIZE!!, Deliver/  Action happens either outside or inside the discern circle. 
Price
Product
Company
Units
Asset

19. Signals-As-A-Service™
Company
Price
Units
Asset
Marketplace
Supplier
Product
Location
of Asset
Customers
…But positively impacting the other players in the marketplace
Show linkages happening being mapped from data store to (companies, products, assets, markets) [  #1 Aggregated data #2 create linkages and place in 4 buckets >  #3 updates to the data buckets / get to consume data any way I want / customization  CHANGE TO: "MARKET PLACES"  Depict the PROCESSES: Capture, SYNTHESIZE!!, Deliver/  Action happens either outside or inside the discern circle. 

20. Signals-As-A-Service™
The customer is Immediately notified of the event and the implications of the signal
Hurricane Matthew: negative implications for Company A, positive implications for Companies B and C
Show linkages happening being mapped from data store to (companies, products, assets, markets) [  #1 Aggregated data #2 create linkages and place in 4 buckets >  #3 updates to the data buckets / get to consume data any way I want / customization  CHANGE TO: "MARKET PLACES"  Depict the PROCESSES: Capture, SYNTHESIZE!!, Deliver/  Action happens either outside or inside the discern circle. 
Persistently scans the world of relevant data
Asking the questions you care about most
Immediately notify you when an actionable event is detected

21. Analytics-As-A-Service A Landscape of Perspectives
Past, present and future
Asset, geography, global, company, marketplace, product
Cognitive Visual Analytics Framework
Multiple synthesized views showing the interplay of key data attributes at a point-in-time and over time
Pre-computes likely next step analytic flows accelerating time from awareness to informed decision
Panorama
A searchable, sortable, screenable gallery of always up-to-date business charts, maps, and other report-ready visuals
Valuation Perspectives
Cone of the Future Valuation Framework empowers the user to see how their valuation view compares to the landscape of other valuation views 
Show linkages happening being mapped from data store to (companies, products, assets, markets) [  #1 Aggregated data #2 create linkages and place in 4 buckets >  #3 updates to the data buckets / get to consume data any way I want / customization  CHANGE TO: "MARKET PLACES"  Depict the PROCESSES: Capture, SYNTHESIZE!!, Deliver/  Action happens either outside or inside the discern circle. 

22. Sources of Lost Return Insufficient, fragmented data Antiquated,
pre-Internet tools
Episodic manual
processes
Bias and
Blind spots
Key Considerations:
A landscape of perspectives:
Past, present and future
Macro and micro
Human and machines

24. More Insights, More Often, Better Decisions
Insufficient,
fragmented data
Antiquated,
pre-Internet tools
Episodic manual
processes
Bias and
Blind spots
All relevant data,
always up-to-date
Modern,
cloud-based tools
Persistent
processes
Better decisions,
better returns

25. over existing processes
Outcomes from this Process
Find the right data at the right time in the right context regardless of source
Data
More Useful
Data in business context
More Valuable
Faster time from awareness to informed decision
More Discoverable
Via visualization and tags
Benefits
Persistence
Awareness of events that matter
10x – 100x
over existing processes
Perspective
Reduced bias and blind spots
Automation
of low-value activities
Effectiveness
Reduced time from awareness to informed decision
More Insights. More Often. Better Returns.

26. Summary
$225T of capital is allocated every day using pre-internet tools and processes
Companies that create a Sustainable Competitive Information Advantage will thrive
We will discuss the 4 major pitfalls of using big data for decision-making
Proven methodology for achieving a 100x improvement over current processes by:
Putting the right data, in the right place, at the right time in the right business context

27. Thank you!

28. Through the Eyes of Data
Harry Blount Discern
Through the Eyes of Data