The techo’s will say that there’s more than just 3 V’s, which is true, but knowing these 3V’s is an excellent starting point.
MIT did a study on how data-driven-decision based businesses performed compared to standard businesses . Much of the information was from Andrew McAfee – he’s got some good information about how technology is changing business.
Where it came from – A project manager using QlikView said to me, I don’t want to analyse the data – I just want to know where there’s a problem or who I should call.
Big Data and the Future of Analytics - 2016 CFO Series
Big Data and the Future of Analytics
Presented by: John-Paul Della Putta
Our Agenda for Today
From 1.0 to 3.0
The Rise of Big Data
What it is, how it can benefit you
Big Data Technology
What it is, what you need to know
Using Big Data & Analytics?
Becoming analytics driven
Enhancing your Analytics
Introducing KPI Pulse
Good old fashioned reporting & BI
Generally backward facing and showing what’s
happened and why
Often there’s a considerable lag between
event and insight
Traditional BI and Reporting – still relevant
today and won’t be going away soon
The Rise of Big Data
Looking at much larger, broader data sets, often un-structured data
Emergence of new technologies which deal with large volumes of often un structured data
Rise of the Data Scientist
Video is half way down the page
Closing the loop
= Traditional Analytics
+ Big Data Technology
+ (possibly Big Data)
+ Prescribed Action
Example – Remote Gas Well Maintenance
What action will be taken automatically?
Railroad sensor notices that a
wheel is too hot and sends a
signal to stop the train
A team is sent to perform repairs
Possible derailment is avoided
Open source (cost effective)
Stores data in 3 places (no backup)
Not a database, a file system (no loading)
Suitable for large amounts of unstructured data
Scalable – Can be distributed over many computers
(Yahoo has a 42,000 node implementation)
It’s pretty complex..
Sorry, I wish it wasn’t, but it is…
Performance and market value.
We find that DDD is associated
with a 5 – 6% increase in their
output and productivity, beyond
what can be explained by
traditional inputs and IT
5 – 6% Increase
So what did you learn?
If you were paying attention…
Analytics is changing
Moving from descriptive analytics
through Predictive to Prescriptive.
Big Data has 3V’s
Big Data is different data and It’s
being used everywhere. You might
end up renting it.
You can get real time analytics
pushed out to your users’ mobile
Hadoop isn’t a DB
It’s not a database, it’s a
filesystem and it’s complex.
You can use it without building it