AskEMCITbigdata

A Data Lake is a tech platform to store large volumes of data. A Bussiness data lake is used to deliver value to the business via analytics against the data. It is a full stack solution.

Do customers talk in terms of outcomes can you share with us the types of outcomes come out of the data lakes?

the outcomes should be new insights on how to improve the business. But it also requires integrations with the business processes to capture the value.

@sbrownpgh, can you give a specific example?

- Customers are starting to talk in terms of outcomes - specifically business value outcomes.

an example would be a model that was built to score likelihood of a contract renewal. This was integrated with SFDC so the sales team could take action and monetize the insight.

While we have done multiple implementations internally in IT ... here is a video talking about overall implementation http://www.brainshar...

@furrier I believe customers are starting to change and focus on outcomes rather than ask for technology.

Hi Karen, there are a number of Big Data Implementations in EMC - example in SalesOps, Internal IT solutions. One key one to mention is EMC Connected Proactive Services - giving EMC customers visibility to data around their EMC products

@DonLynch6 ; marketing analytics too, in identifying big data visionaries in companies with disparate data sources

. @SoxMomSection94 @schmarzo the dean of big data would be great for this chat #cc #EMCworld

Is ECPS something which could be leveraged as a solution for other customers ?

the ECPS methodologies for ingesting, storing and processing data as well as the algorithms built on top of these can defintely be leveraged by other customers in different areas of customer engagements

There is a strong relation between social media and internal data. To give a simple example, imagine collecting social media to identify interesting technological terms on the rise in order to combine that with installed base data from customers.@subahe

That's something IT can use for sure!

all with the purpose of recommending products and offerings to our customers based on what we identify as technologies on the rise.

good example @oshryb ; also the work of the Marketing Sciences lab on finding big data visionaries used internal + social data

mashup of internal customer data + twitter + Facebook data to form profiles of visionary individuals on big data at customer sites

Data velocity is important bc integrated data sets need massive compute. This is a huge technical challenge

@imdaviddietrich is the case study published somewhere,can you share link

try here: http://www.emc.com/b...

the biggest thing you need from the business is the willingness to adapt their business processes to harness the value from the analytics.

and of course their business knowledge to confirm the outputs of the analysis.

@sbrownpgh excellent answer. The biggest thing you need is an open mind. Big Data Analytics uncovers things the business may not expect, so they need to be flexible

Use @ to reply This will have to start with POCs on smaller use cases, what is the flexibility that IT can offer in terms of ease and access to data for BU users

speaking for EMC we have an innovation environment where the business can request a workspace and access to any of the data in the lake.

what is the time taken for IT to provisions environment and right tools to business...typically?

, good question. In short, if you want to get a full stack of EMC Federation software and hardware, we can provide the Business Data Lake that way. We also provide the EMC Business Data Lake such that we can leverage other third party tools

in other words, customers have choices in terms of what they choose to use ; many customers have heterogeneous environments

David's response might be confusing - the Federation Business Data Lake has components from the EMC Federation, and the EMC Business Data Lake provides for alternatives to Federation only product, but they function identically

thanks Ian

@sbrownpgh is an IT leader with over 15 years of specialization in the BI & Analytics domain. He has a proven ability to create & deliver innovative technology strategies that produce business advantage for the enterprise and measurable bottom-line value.

@oshryb is the lead scientist of a team of data scientists in EMC, focused in developing advanced, data driven solutions to answer complex and varied challenges for different business units and EMC customers.

Welcome gents!

thanks Steven

EMC Global Services provides a Big Data Vision Workshop that helps companies develop a strategy and roadmap for Big Data

many times our customers begin with our services to help them get started; we offer Vision Workshops to help companies map out their potential projects and identify good candidates for a pilot project

the best strategy IMHO is to build the solution or platform around the use cases, basically starting with one or two interesting use cases of value to the organization and then implementing these solution on a capable platform

the thing that must be taken into account is that the platform should be inherently expandable and scalable so that when new use cases are introduced, the environment can be expanded and scaled to support these

thanks @oshryb

key for this is ingestion at the speed of the business - that is ingest and act as the events happen

to acheive this we are utilising EMC Federated products like #SpringXD

I find your distinction of real time vs. near real time interesting; in essence, what is "real time" ? seconds? milliseconds? microseconds? All these things are units are time, they're just fast

In other words, the more I work with big data, the less I believe in the concept of "real time"; however, there are certainly things that make it really, really fast

@DonLynch6 It is also using that ingested data to produce insight - of course real-time means that you know what was going to happen before it actually occurred, otherwise any response to the ingested data would not be real-time but near-real time

there several challenges I can think of, most with respect to utilization. First is governance, we wanrt the data in the BDL to be of quality, and clearly presented so that consumers of that data can easily use it and share it, requires contro

second, the data should be shared so that the entire organization benefits for it, that requires some regulation and meta data management so that some pieces of information are kept protected

I speak to this a bit in my session. I see the biggest risk being misinterpretation of the data leading to bad conclusions. You still need a way to certify the findings.

one other challenge is educating the business users on the value of the business data lake and the advanced data solutions that can be developed on top of it, eventually, the value of the BDL is also in the value and level of insights it can bring

Customers can navigate our EMC IT Proven microsite to find use cases, blogs, videos, and other great assets like infographics, here: http://www.emc.com/c...

Information on EMC's Business Data Lake and the value it brings can be found at EMC.com/bigdata, and greater technical information can be found at EverythingBigData@EMC - on the EMC Community Network