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Christine
Trainor
Director of Data
Intelligence
Big Data the Myth and the Reality
 Big Data what is it?
 The evolution from traditional structured data to native.
 Native format of data
 Extract transform and load to extract load and
transform
 Governance of Data must be part of your strategy
Cloud and Industry of Things (IoT)
 Dispersed data sources are transformed in the cloud.
 Cost is now affordable for all
 Challenge of what is next once your data is in a
distributed world
 You still need to digitally transform your data to insight
to find value.
 Data Intelligence teams now have easier access with
virtual machines
Applied Data Science
 Wrangling data in the wild is key.
 Finding the Data in dispersed environments
 Conversing with the expert to find the value.
 Strategy for Minimal Viable Services
 The agile approach to digital visualize data
Unlocking Profitability and Performance
 Strategy is the key to unlocking new revenue opportunities increase
profitability and increased performance.
 Minimal viable service
 agile is key to the team
 Digital Transformation happens in collaborative environment
 Put App in hands of the client
 Applied data science is rooted in the voice of data and the ability to
develop algorithms and train models
 Once you have to taught the data to talk and answer questions you
might not have known to ask you are on the path
 Empowering the human in the loop not replace them
Q&A

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Digital Data Transformation

  • 2. Big Data the Myth and the Reality  Big Data what is it?  The evolution from traditional structured data to native.  Native format of data  Extract transform and load to extract load and transform  Governance of Data must be part of your strategy
  • 3. Cloud and Industry of Things (IoT)  Dispersed data sources are transformed in the cloud.  Cost is now affordable for all  Challenge of what is next once your data is in a distributed world  You still need to digitally transform your data to insight to find value.  Data Intelligence teams now have easier access with virtual machines
  • 4. Applied Data Science  Wrangling data in the wild is key.  Finding the Data in dispersed environments  Conversing with the expert to find the value.  Strategy for Minimal Viable Services  The agile approach to digital visualize data
  • 5. Unlocking Profitability and Performance  Strategy is the key to unlocking new revenue opportunities increase profitability and increased performance.  Minimal viable service  agile is key to the team  Digital Transformation happens in collaborative environment  Put App in hands of the client  Applied data science is rooted in the voice of data and the ability to develop algorithms and train models  Once you have to taught the data to talk and answer questions you might not have known to ask you are on the path  Empowering the human in the loop not replace them
  • 6. Q&A