clearstory

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

Doug VanderMolen

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

2 Votes Vote

John Furrier I like how you layout the "data stories" brilliant.. and adding social component on iterative data modeling is genius.. #bigdata done right

Bob Gourley5

Question for @ClearStoryData: Can you give top 3 or 4 best practices you have seen when new data based solutions are fielded.

3 Votes Vote

John Furrier

great question

Bob Gourley I'm learning things here that will help me get my job done so I appreciate your bringing attention to this.

Stephanie McReynolds

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

Bob Gourley Thanks for the helpful reply.

Stephanie McReynolds

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...

Narayan Bharadwaj

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

Will Davis

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

Bob Gourley Thanks for those comments

Stephanie McReynolds3

Data intelligence is a new way to analyze data. How does it compare to the old ways - e.g. data warehousing, business intelligence, dashboarding?

3 Votes Vote

John Furrier

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

John Furrier

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..

Will Davis

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

Jeff Kelly

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

Crowd Doc4

What are @ClearStoryData 's offering w.r.t to #Spark ?

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

3 Votes Vote

John Furrier5

Why are you guys so pumped up about Spark?

4 Votes Vote

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

Stephanie McReynolds

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

Jeff Kelly

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'