clearstory

insights and recommendations gleaned from #BigData analytics need to be seamlessly integrated into apps people use at work everyday

Data consumerization is not just about the individual or self-service. It's about getting more people working together with more data to find insights quicker. @theCUBE

to me the iphone in 2007 set the agenda - the connected consumer with a smart phone will change the data and the capability..consumerization of IT will enable new apps and new future Billy Beane's to tie into #moneyball

@clearstorydata can't have #bigdata convo without moneyball reference.. every company will have a Billy Beane just waiting to change the game - #valuecreation can come from anywhere - that is Consumerization of Data - possible from any device

I think this also has to do with a growing shift among organizations to be more open and transparent - making data available to business teams, customers, etc.. so they are making informed decisions and are more productive

at #bigdataNYC event http://www.youtube.com/playlist?list=PLenh213llmcb2WrxTrFMo14lGDrzRzicb

UX perspective: Experiences must be designed that empower all people to understand and utilize data. ClearStory is focused on this; realizing that doing this empowers more people to make data-influenced decisions.

hit send too soon #bigdataNYC event we talked about two things in this context: 1) data artist and 2) the new knowledge worker - yes the non-geeks not writing python..the new spreadsheet is visualization -tooling is need HUGE oppty

self-service visualization with collaboration capabilities - analytics is collaborative by nature

Platform perspective: The data platform needs to support low latency computation, different data formats and operations and understand data semantics to assist the users to make data-driven decisions

with what? 8,000 public data source api's looks like the vision of for open, connected and plentiful consumption

@furrier @clearstorydata is creating a product that will enable companies to have lots of Billy Beanes!

Enterprise users interact with ClearStory through an intuitive, browser-based application which has a new user model with built-in support for collaboration

@dvellante loves the data harmonization angle here is Sharmila Mulligan at our #BigDataNYC event http://youtu.be/9fZVK9cyOvY

The Clearstory experiences was designed so that business users interact directly with both internal and external data through the Clearstory interface.

great question

Getting value from new data based solutions means making the solution easy to use no matter what the use case.

That said, we see organizations adopting data intelligence for new use cases like: localized market intelligence in retail, multi-screen behavioral analysis in media & entertainment...

There are use cases that cut across verticals- anything that typically involves interactive and iterative analysis to get to one or more fast insights

Bob how you see these guys from say @platfora @benwerther has been on before

Accessing more sources of disparate data both internal & external, providing fast interactive analysis on data at scale and collaboration for making analysis within a team intuitive and productive

We use Spark and Shark as part of our stack for analytics on Diverse data

Data Intelligence requires new technology to deliver more speed to more people. Spark is a technology we've been working with for years now as part of that equation @furrier

to me Spark offers opportunity to build a Unifed Big Data stack on Hadoop rather than disparate components

Spark's in-memory data processing also allows our users to 'fail fast', in case a particular data exploration reaches a 'dead end'

Spark is one component of our stack. ClearStory Data is a application + platform which enables analytics on diverse data sources, both internal and external

are you a data hacker?

In the new world, we all need to be new data analysts. #dataintelligence

in the #sparksummit CrowdChat the emphasis was on real time analytics what's different now for end users?

to me it's the consumerization of data and that means the data scientist will be the new BI analyst.. 4 million data analysts will soon be data scientists

At #AWS they are seeing #devops driving a new paradigm of applications (aka agile) which will create a new model of "knowledge worker" more #data #artist less math geek..

I think of Data Intelligence as a new way to analyze data by leveraging 'smarts' on the data itself to make working with and analyzing data faster, more intuitive and more flexible

big difference is not needing to pre-define the questions you want to ask or the data models - data intelligence is real-time and iterative

@jeffjonas at IBM always says and I love this quote "big data is like puzzle pieces" need to have them but putting it together is an art & science" this is the new way for analytics which is storytelling and datascience as one #bigdata