1. finding value in the digital maze
data driven
finding value in the digital maze

2. @ToufiqAbrahams Consultant Solution Provider Data strategy
Data architecture
Data models
Information delivery
Solution Provider
IoT Analytics
Mobile BPM Analytics
Hosted Analytics

3. how much is your data worth?
The Microsoft acquisition of Linked In is a definitive statement of the value of data.
Perhaps the biggest competitive advantage for the digital era is the ability to convert data into business value.

4. how do we get value from data?
Data = it starts with the ability to generate/harvest data points
Information = classification of data
Knowledge = understanding the relationships between classified data
Insight = definition of key metrics (ability to measure)
Wisdom = understanding the correlation between metrics (patterns in the data)
Image by David Somerville

5. digital industrial revolution
Steam Power
MECHANISATION
Electrical Power
MASS PRODUCTION
Computing Power
AUTOMATION
Cyber Physical Systems
SMART AUTOMATION 1 2 3 4
The value of data is even more pertinent with the onset of the 4th industrial revolution. Data fuels the “smart” in smart automation
1784 – First Mechanical Loom
1870 – First Assembly Line (Cincinnati Slaughter House)
1969 – First Programmable Logic Controller (PLC)
Now – Smart Automation (AI)

6. the road to 4.0
4.0
2006 – Amazon Elastic Compute Cloud (EC2)
2007 – Smart phones (iPhone)
2008 – LTE networks
2009 – Mongo DB (DB model for the mobile world)
2010 – Azure (Microsoft Cloud)
2011 – Hadoop (Hadoop Distributed File System)
2012 – Nexus of Forces (connecting the dots between mobile, social, information and cloud)

7. Gartner – Nexus of Forces
“…convergence and mutual reinforcement of four interdependent trends…”
“… transforming the way people and business relate to technology…”
“…To take advantage of the Nexus of Forces and respond effectively, organizations must face the challenges of modernizing their systems, skills and mind-sets…”
Conceptual precursor to Digital Industrial Economy

8. digital disruption Consumer culture change Virtual business models
Connected everything
Virtual business models
Facebook, Uber, Airbnb
Technology service models
IaaS
PaaS
SaaS

9. big data: focus on value
Connected Everything
Internal
Consumers
Big data is an ambiguous term, but what is clear is 3 key streams of data:
Traditional: transactional data from business processes (still the most valuable, still too often not realised value)
IoT: a new way to optimise processes (not only business) by adding sensors and analysing
Social: the hardest value add is understanding sentiment and behaviour (relies on digital/social presence)
Devices
Sensors
Business Processes (transactions)
Opinions
Facts
Facts
Opinions
Qualitative
Quantitative
Quantitative
Qualitative
Complex Value
Intrinsic Value
Known Value
Hidden Value

10. new data sources & challenges
Mobile
BPM
IoT Gateway
Complex Subject Areas
Difficult to model
Organizational speed
Complex Data Structures
Unstructured/semi-structured
Granular
Complex Analysis
Sentiment/Natural Language
Behaviour
Social AI
For the analytics world we have 4 new data sources that come with their own complexities

11. data landscape Reporting Data Viz Mobile Sales Data Warehouse ETL
Finance
Analytics
Advanced Analytics HR
Document DB
The traditional BI landscape becomes more complex, but cloud services offer some relief in abstracting complexity.
Mobile Platforms
API
Hadoop
Machine Learning
Event Hub
Social Media

12. data consumer landscape
Cloud (public and private) enables a more fluid combination of business process execution and measurement … the true value of this is “information at the point of decision”

13. enabled anywhere abstract complexity
enablement
elastic scale
enabled anywhere abstract complexity
BUSINESS VALUE
Cloud services pushes compute power to the cloud while you BYOD as a presentation and interaction tool.

14. responsible adoption Scale of computing – new possibilities
Understand impact & filter out hype
BI services, platforms and tools – extremely capable
Select for function, ease of use, integration & cost
Methodologies/approaches/techniques – tried & tested
Adapt to fit your requirements & culture
Skills and expertise - limited availability & expensive
Select carefully, nurture & develop

15. goal posts have not shifted
What happened?
What we would like to happen?
State of the Business
What is likely to happen?
Why did it happen?
Make Informed Decisions
Develop New Insights
Predict the Future

16. driving change
Find
NEW
Value
Find
Value
QUICKLY
Agility vs. Control

17. where are you stuck?
unhappy customer
struggling business

18. data driven
Social Man
happy customer
smart business