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BIG DATA: What Your IT Team Wants You To Know

BIG DATA: What Your IT Team Wants You To Know | Collaboration | Scoop.it

The purpose of Big Data is to supply companies with actionable information on any variety of aspects. But this is proving to be far more difficult than it looks with over half of Big Data projects left uncompleted.


Two of the most often reported reasons for project failures are a lack of expertise in data analysis. Reports show that data processing, management and analysis are all difficult in any phase of the project, with IT teams citing each of those reasons more than 40% of the time.

 

However, failures in Big Data projects may not solely lie on faulty project management. In a recent survey, a staggering 80% of Big Data’s biggest challenges are from a lack of appropriate talent. The field’s relative infancy is making it hard to find the necessary staff to see projects through, resulting in underutilized data and missed project goals.

 

IT teams are quickly recognizing a chasm between executives and frontline staffers whose job it is to apply findings from Big Data. In the end,it may not be the anticipated cure-all for 21st century business management. It is only as good as good as the system that runs it.


Via Peter Azzopardi, Berend de Jonge, Lauren Moss
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Olivier Vandelaer's curator insight, January 29, 2013 11:45 PM

Looking at the infographic, it clearly reminds me about the start of "Enterprise Data Warehouse": failures by "Innacurate scope", "Technical Roadblocks" & "Siloed data and no collaboration". It looks so familiar.

Tony Agresta's curator insight, January 30, 2013 7:15 AM

Very interesting infographic.  Why do they fail?  For all of the reasons above and then some...    Over 80% of the data being collected today is unstructured and not readily stored in relational database technology burdened by complex extract, transform and load.  There's also pre-existing data, sometimes referred to as "dark data" that includes documents which need to be included and made discoverable for a host of reasons - compliance and regulatory issues are one.   Log activity and e-mail traffic used to detect cyber threats and mitigate risk through analysis of file transfers is yet another set of data that requires immediate attention.

 

Social and mobile are clearly channels that need to be addressed as organizations continue to mine data from the open web in support of CRM, product alerts, real time advertising options and more.  

 

To accomplish all of this, organizations need a platform with enterprise hardened technology that can ingest all of these forms of data in real time, without having to write complex schemas.   Getting back to the point - What do most projects fail?   If companies attempt to do this with technology that is not reliable, not durable and does not leverage the skills of their existing development organization, the project will fail.  

 

We have seen this time and time again.   MarkLogic to the rescue.   With over 350 customers and 500 big data applications, our Enterprise NoSQL approach mitigates the risk.  Why?  Our technology stack includes connectors to Hadoop, integration with leading analytics tools using SQL, Java and Rest APIs, JSON support, real time data ingestion, the ability to handle any form of data, alerting, in database analytics functions, high availability, replication, security and a lot more.  

 

When you match this technology with a world-class services organization with proven implementation skills, we can guarantee your next Big Data project will work.  We have done it hundreds of times with the largest companies in the world and very, very big data.

 

www.marklogic.com



Adrian Carr's curator insight, January 30, 2013 7:27 AM

This is a great infographic - it shows that whilst everyone is doing it (it being "Big Data" - whatever that is...), talent is rare, technology is hard to find and the projects never end.  A far cry from the speed with which companies such as the BBC deployed MarkLogic to serve all data for the sport websites through the Olympics.  Now that was big data, delivered by a talented team in a short space of time.

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Don’t Underestimate the Power of (Social) Collaboration. It Is Not a Given

Don’t Underestimate the Power of (Social) Collaboration. It Is Not a Given | Collaboration | Scoop.it

Ok, back to Social Business. After the last few days where I have been blogging a number of different times about some musings on redesigning and refining further along the workplace of the future, it’s time to get down to business again and continue to share further insights around social networking / computing for business or the good old Social Business itself.

 

By the way, stay tuned because very soon I will be putting together an article where I will explain why I’m going to move away from the social business concept into another one that I think is much more accurate and fitting in helping explain where we are today with the whole mantra behind Social. But till then, how about if one of these days you come to work and you bump into a rather controversial article, a superb read, actually, that questions the whole social business industry, right where it hurts the most: Social Networking for Business doesn’t count much on today’s CIO’s top priorities, after all. Disappointing or a huge opportunity? Both, eventually!

 

Read more: http://bit.ly/IRUGGH


Via Martin Gysler
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