Transcript (view)

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I’m gonna time
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about then the next couple minutes this hot topic I’ve the democratization
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means so first
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I think you all are well aware the fact that there are affords a private data
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sources and merging across organizations with new distributions of Hadoop
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in addition to all the legacy that other companies already have
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resulting in lotsa violins and data across the company
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but what’s equally interesting and in some ways even
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are more interesting and more of a challenge for organizations as their
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desire to bring together
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data from any public and private up web sources
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into the mix with that private data to be able to drive what we call a
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convergence I’d
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if you look at the a the wall so if public and web data available
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about 5-6 years ago there were about less than 100 Open Data API is in today
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there
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over a thousand Open Data API’s an interesting and now features than
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present a unique API
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that’s very difficult for companies to actually wrangle with and determine what
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is interesting inside a favorite sources and what is not
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a if you look across this interestingly about 3 percent of the state as Ashley
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tagged
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and surprisingly only half a percent if it is actually analyze
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so what it were faced with today and what we think is a really important
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aspect
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a similar the Big Data solutions and where Pistorius focused
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is allowing you to bring together data from multiple different sources
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Web data premium data as well as public data into the mix of your private data
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and being able to drive what we call a convergence I’d
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what this really comes down to is a couple of things that’s gotta be very
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easy to access so the time to actually pull this all together
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to drive a convergence I’d house to shrink from the ways that we’ve done in
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the past
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%uh secondly it’s gotta be easy to find so you’ve got to be able to surface to
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the user and the customer
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what is interesting in the external sources and might be a relevance in the
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context of the private sources
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and how to actually bubble up what’s up most interest and drive to a
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convergence I’d us certainly it’s not a easy day for users to interact with and
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be able to deduce insights from
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so what we see is that the composition of what people want to analyze is
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changing for the dramatically
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from what used to be a world have primarily looking at private data and
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many
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companies still doing it at silo to now being able to bring together private
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data from multiple repositories
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and mix that with East sources of data that are readily available across the
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web
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and across a public in premium sources as well
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the whole model for doing this has to change which goes from
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point of actually data access and data processing all the way to the user model
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so now this gets me to the use a model itself
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on when we talk about data democratization and there’s almost
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nothing out there today
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that actually makes it easy for a business user to access the data that
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they need to get to
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and see it when they need to see it at the right time we are still in the world
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so far solutions that mostly only data scientists can use
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a man obviously plenty of tools out there that were originally designed for
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the data analysts where it relies on
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structure data models Kyivstar schematic such a route
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there’s almost nothing out there today that gives a user a business user
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an easy way to gotta get the data that they want to see
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be able to actually converge at and be able to interact with its scale
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so to give you an example of what a business user might want to do if you
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think about the recent Super Bowl a van
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one of the most interesting things that happen as announce an anticipated power
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outage this went on for about 30 minutes
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and it turns out that that I mark bad when there was probably the best window
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for advertisers relative to
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the hearts and money a lot of them spend for buying time during the Super Bowl
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game
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i’m for companies are on the cutting edge they were able to pull data
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together from multiple sources they were able to determine
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what they should do during that window of time and actually and one company
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Oreo
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that actually did this very effectively where they were able to put an ad out
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very quickly and in fact
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analyze the response about in a short period of time
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leveraging data from multiple sources bring in all the data on post the van
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and this forty thousand dollars spend yielded more for them than the four
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million dollars fan but they had a invested in
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for a special spot spot during the Super Bowl itself
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so they’re really for things that we believe need to change
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and where the future is headed so first as well as you bring data together
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from many different sources it’s important to deliver a new platform in a
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new way
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for companies and business users to be able to see what day it is a VIN trust
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and what sources to trust and what the value of that data is and how to bring
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it into the mix with your private data
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um secondly it’s important to
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also make it possible for not just the thousands of folks in IT data scientists
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and eight architects to be able to get to date out
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but rather are provided to you as a model where the five million plus a
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business users
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can actually now find have an intuitive way to work with their that they didn’t
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have before
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thirdly being able to look at data on a continuous basis and convergent easily
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accessible as Lee
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and be able to look at inside staley and finally in
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in aligned with that is being able to get to insights in a real time or what
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we call a right time manner
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were suspending weeks and months and depending on it. that’s what we think
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the big opportunity is that’s where we think anew
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%uh solution is needed and we do you think the market is absolutely right for
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this and ready for change
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I’m so with that I think I’m at the end of my time here and I will
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turn it over to our necks was an hour