dataeconomy

I see it evolving to a marketplace where anyone can query data sets to accomplish a task. Think about the data trapped inside Target, for example, and all the retail behavior nuggets in there. Monetize that, lots of interested parties

#dataEconomy means leveraging information on behaviors to tightly "target" pricing, offerings, operations

To me it's about defining the narrative around the business of using data as a competitive advantage. C-level execs are transforming their business with data driven process/application/infrastructure re-engineering

trying to help clients control data growth while controlling costs.

the Data Economy is the emerging economy in which organizations succeed or fail based in large part on their ability to leverage data and analytics to improve business outcomes http://wikibon.org/wiki/v/The_Data_Economy_Manifesto

at #df13 the notion of technology is driving changes on how companies market to customer with technology as the enable..same at #IBMIOD for #socialbusiness #innovation

its transformative from cutting internal cost and driving efficiencies, to leveraging it to drive top line revenue, and generating new revenue opportunities .

Data is an asset that has monetary value to organizations. Not leveraging data is the same thing as throwing away money.

Data economy means using data to think better, react faster, provide better products and services to clients

its about using data to improve efficiencies, create new ways of doing business and becoming more customer-centric

data is a source of value if customers have the tools to get the right insights from that data. Data economy means to get data insights in an efficient, cost effective way

it opens the door to all you can do with the data that will maximize the value of that data for your company. You can gain competitive advantage, understand your customers better, proactively resolve an issue, etc. The sky is the limit!

Start with the data I would say...what are the data sources? What's your data architecture? Who is in charge of data strategy? etc.

Hasn't the lead always been the Internet of Consumers? (at least after the visualization of the browser experience)

Are you asking how to deploy greenfield when the rest are trying to shoe-horn this into their existing IT infrastructures?

TheTipping Point by Malcolm Gladwell ow.ly/r17P5 explains that the focus should be on key influencers that are socially connected

What was the Internet before it was the "Internet of Consumers"?

Need to understand who your customers are, what value will they get out of the data you can provide, before you define the strategy

many smart folks in the crowd say that we need to understand the different "properties of data" .. @furrier quoted the term years ago "data chemistry"

some are and some aren't. there will be winners and losers in the data economy.

Decision Support Systems have been around for decades but limited in access to a few analysts and C-level executives. Now it has broader reach

Like many changes in IT, I think it is taking longer than people at first expected. So some of the talk is ahead of the reality but people are moving that way since the potential value is compelling

If i know what I want at an electronics store, I don't go to the store until I check online if it's in stock. If a company doesn't give me that data, I go somewhere else.

It depends, largely on how core data is to the business they are, or they business they want to be

#dataeconomy Depends on the IT department. Old school ones focused on cost cutting vs cutting edge ones that redefine themselves as enablers for LOB. Customer angle for the latter is rapid rate of change based on what data tells you.

Amazon sent me an email about a new product coming out based on my past purchases. I plan to buy it and wouldn't have known about it otherwise.

#cloud-computing companies do monitor their hardware & s/w metrics closely, mine patterns out of them, find bottlenecks, fix them as performance goals, and save cost!

Someone has to know what to do with the results. If you had access to a personal home x-Ray machine, you would still need to be a radiologist to make sense of it.

I think that there are some basics associated with the definition of an economy/marketplace that are important... instruments, fluidity, exchange, and bookkeeper... critical imo we need the #NYSE for #dataeconomy to grow

#dataeconomy Data scientists are critical, but we can't train enough to keep up w demand. Tooling that brings some of #BigData analytics to the everyman is needed like spreadsheets did to # crunching that used to be reserved for accountants

potentially. as more analytics-infused applications, users' domain knowledge becomes more important than knowing how to write algorithms. for now, though, most enterprises need someone with data science skill

Data science is critical but more importantly to tell a clear story on the data you need knowledge workers to be the new data science users - democratization of data - oppty to make it easy is a companies oppty #bigdata

IMO it's not just the scientists that will help. It's the workerbee users that will be vital to the success of how the data is leveraged into something valuable for their organization

but scientists are the traders of value in this economy.. but even science = hypothesis, methodology, test, conclusions, repeat... to do this,

DS are needed/ valuable until it becomes more commonplace throughout the org. Sign of maturity in data analytics.

If you mean that in the same way that a good DBA is necessary to get the most out your DB's, then they are absolutely necessary. Users can become savvy as the tools to do so evolve, much like the ability to now create your own webpage.

Many will need to step up to help realize the data economy vision, but data scientists must be the thought leaders

as my friend @ab_hi_ said on #theCUBE, you need combination of technical, data science and business domain expertise to truly leverage #BigData http://youtu.be/uIoqFD-jS9Y

flash already playing an important role in streaming real-time analytics - see ad tech biz

is it flash or is it cloud?

Disk and Tape share a lot of technology, GMR heads, surface coatings, etc.

That's the sort of thing you hear a lot. And it will be true. But not overnight. Not with the volumes of data many are speaking about. Hybrid solutions will be with us for a while

From a portability perspective, I see a lot of people treating external USB drives as if they were tape for their backup and archives

One of our FlashSystem clients can run simultaneous marketing campaigns when previously they could only run one at a time on disk.

realizing the promise of #bigdata requires architecting systems that get the right data to the right analytic environments at the right time - requires hybrid storage approach

one thing that is converging big time is the application and data integration.. closing the loop in the infrastructure

With LTFS Enterrpise Edition - tape is the new disk!

#dataeconomy at #CloudExpo, @HGSTStorage had a really nice presentation on different storage types. Here's the money slide: twitpic.com/dlyviq

Flash allows analytics to be done in real-time that couldn't be done before. Instant knowledge to provide better service on a customer support phone call for example.

#AWS Facebook and many others are able to offer a ton of new services thanks to flash. Disk (like tape) becoming purely capacity play.

Sprint certainly leveraged flash and made major improvements to client sat http://www.youtube.com/watch?v=gtj-3QSB1bI

it fits at the top...today on bio tech nation I heard that there is 3ZB worth of data in existence today...flash is going to be instrumental in how you move, sort, and deal with that volume...

#IBM offers #FlashSystem solutions (Storage + FlashSystem) for simpler, more powerful and cost efficient data management

Flash is definitely helping organizations to crunch more data without increasing time-to-insight like Coca Cola Bottling Co (video) http://bit.ly/Hs59eG