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Big-Data Initiatives Drive Procurement Strategies

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Jacob
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Re: Big Data Analysis and Quality
Jacob   10/28/2013 11:26:02 PM
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"Unfortunately, many organizations live in a world where various departments load data into cloud based services without the knowledge of IT, where virtual machines are spun up in a hurry without being properly documented, and legacy systems are never really brought into the fold."

Hailey, after the implementation of cloud storage, space is not a constrain for dumping any data and anybody can use it. but as long as its not used or analyzed, its like junk data.

Hailey Lynne McKeefry
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Re: Big Data Analysis and Quality
Hailey Lynne McKeefry   10/27/2013 9:48:55 PM
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@Jacob, in an ideal world, i think you are right. Unfortunately, many organizations live in a world where various departments load data into cloud based services without the knowledge of IT, where virtual machines are spun up in a hurry without being properly documented, and legacy systems are never really brought into the fold. I would guess that its not uncommon for organizations to be woefully unaware of data.

Jacob
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Re: Big Data Analysis and Quality
Jacob   10/25/2013 10:57:21 PM
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"first and substantial big challenge is kowing hwere all the data is and then getting an idea of how its stored, backed up, used, etc. I believe a lot of organizations are still in early stages on this."

Hailey, I think data administrators may be well aware of that and normally they used to keep a data map to know which data resides where. But I had seen in many companies such data resides in storage disk safely even with out refer it once.

Hailey Lynne McKeefry
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Re: Big Data Analysis and Quality
Hailey Lynne McKeefry   10/25/2013 6:09:13 PM
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@Jacob a first and substantial big challenge is kowing hwere all the data is and then getting an idea of how its stored, backed up, used, etc. I believe a lot of organizations are still in early stages on this.

Hailey Lynne McKeefry
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Re: Big Data planning
Hailey Lynne McKeefry   10/25/2013 6:08:11 PM
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@TechGuy, thanks for the video. It was, as promised, cute--and informative. I don't know if i caught all eleven space and scifi references. Do  you have a sense of how the specifics of the electronics supply chain (with previously siloed systems and global networks fo folks exchanging information) are particularly challenged by big data initiatives? Any best practice advice specific to that market?

Jacob
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Supply Network Guru
Re: Big Data Analysis and Quality
Jacob   10/13/2013 11:21:05 PM
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"I think you are right. There has to be well-designed databases so it can capture the necessary data. And some smart people have to develop the algorthims to dig out meaningful information from there."

Alex, datas are generating every minutes and seconds, how to be used it for prediction and analysis is important than preserving it for a long time.

t.alex
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Re: Big Data Analysis and Quality
t.alex   10/11/2013 9:44:17 AM
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Jacob, I think you are right. There has to be well-designed databases so it can capture the necessary data. And some smart people have to develop the algorthims to dig out meaningful information from there.

Jacob
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Re: Big Data Analysis and Quality
Jacob   10/9/2013 11:27:16 PM
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"I agree with you especially for public sectors - helps government well enough than before in making decisions and budgeting."

Wale, you are right. Government departments are the one, has lots of customer interaction happening at various levels and capacities.  If they are able to analyze this customer query and interactions, they can derive a better solution or can minimize the citizens concerns up to an extent.

Wale Bakare
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Re: Big Data Analysis and Quality
Wale Bakare   10/9/2013 6:16:25 AM
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I agree with you especially for public sectors - helps government well enough than before in making decisions and budgeting.

Jacob
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Supply Network Guru
Big Data Analysis and Quality
Jacob   10/8/2013 11:48:47 PM
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Lalit, big data is a new domain, where lots of analytical researches are happening. In our day to day activities, lots of datas are generating and its simple lying in our machine. When it's get filtered and analyzed, quality of datas can be derived, which can serve the purpose. Quality is an important factor; otherwise it won't serve the purpose.

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