First part of "Winning in Today's Data-Centric Economy"

1. Winning in Today's
Data-Centric Economy
Alexander Loth

2. Help people see and
understand their data
Data
Analytics
Data Strategy

3. The Data-Centric Economy
is Everywhere

4. previous century:
THE ERA OF MASS PRODUCTION
Products, products and more products

5. today:
WE LIVE IN A DIGITAL WORLD

6. Data
is Everywhere
Data
Analytics
Data Strategy

7. The Data Opportunity
Extracting value from the data deluge
Source: IDC, CAGR = Compound Annual Growth Rate
Data
Analytics
Data Strategy

8. You can‘t store it in a
datawarehouse anymore
Data
Analytics
Data Strategy

9. …it‘s all about data
Data Business
Value
Adoption of data as a strategic business asset
Data
Analytics
Data Strategy

10. HERE’S THE PROBLEM
Existing systems were built for products and one-time transactions,
not customers and long-term relationships
Multiple Systems | Manual Processes | Rigid Technology | Product-Centric
A Product
? ?
Quoting Fulfillment
E-Commerce
Revenue
Recognition
Financials
ERP
SCM
InventoryProduct
Catalogue
Collections Invoicing
Data
Analytics
Data Strategy

11. When did data become so complicated?
Branch
Banking
Web
Banking
Mobile
Banking
Context
Banking
Increased data centricity
Data
Analytics
Data Strategy

12. Data
Analytics
Data Strategy

13. Marketing
FinanceSales
IT
Product Operations
THE NEW RULE FOR
A DATA-CENTRIC
STRATEGY
Wrap your data around
your customers
to create business value
Data
Analytics
Data Strategy

14. Analytics
are Everywhere
Data
Analytics
Data Strategy

15. …it‘s all about data + analytics
Data Business
Value
Analytics is essential
for any competitive strategy
Data
Analytics
Data Strategy

16. 2009
Data
Analytics
Data Strategy

17. The Status Quo
Data
Analytics
Data Strategy

18. Industry Disruptions
Analytics is key to create the future of Banking
Engineering
Automotive
Banking
Key Disruptive Technologies
Open API
Blockchain
Advanced Analytics

19. Visual Analytics
Data
Analytics
Data Strategy

20. 6 analysts spend 60% of
time producing a weekly
leadership report
Reducing report creation and
delivery time by 75%
6,912 hrs
annually
TIME TO
INSIGHT
BEFORE TODAY
5 1DAYS DAY
Data
Analytics
Data Strategy

22. Top Questions for Analytics
Data
Analytics
Data Strategy
• What are we doing?
• Data --> Desisions
• Who is the consumer?
• Tactical --> Strategic
• Core --> Ubiquitous
• What data do we need?
• Aggregate --> Detail
• Data Silos --> Multple Demensions
• What analytic techniques do we use?
• Reporting --> Discovery
• Human --> AI
• Who does the analysis?
• Platform Choice --> Analytic Portfolio
• How is the analysis used?
• Data Confidentally --> Open Data
• Stand Alone --> Embedded Analytics

23. Analytics applies to every stage of a decision
Data
Analytics
Data Strategy
Report
Awareness
ContextPrediction
Decision

24. Five Rules for Success
Data
Analytics
Data Strategy
• Analytic projects fail; find a sponsor for change
• Get out of your comfort zone; find data to challenge
assumptions
• AI is here, but only in places; advanced is not always
better
• Single sourcing will fail; building an Analytic Portfolio
• Analytic stagnation will kill you; find a new audience

26. @xlth aloth@tableau.com Alexander Loth