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Big Data Gone Wild

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Hailey Lynne McKeefry
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Re: Re : Big Data Gone Wild
Hailey Lynne McKeefry   3/24/2014 12:25:45 AM
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@tiriapur, certianly information on the Internet is out there forever. Within the organization, though, there are legal and practical ramifications for maintaining records forever. It is legitimate and good data hygeine to make sure that some types of corporate data are maintained as long as is legally required and not longer. If it remains availalbe, it can still be used against the organization in the event of a lawsuit.

tirlapur
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Supply Network Guru
Re : Big Data Gone Wild
tirlapur   3/23/2014 4:33:36 AM
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@docdivakar: Historical data needs to be stockpiled because who decides from which point does history begin? For any employee related with the technological aspect in a company, old data may not be necessary, and can be deleted, but what about the management sector of the company, which may need any kind of case file or old directions from the data sector? History for any engineer might begin from yesterday, but for them it might begin from the creation of the company. Hence stockpiling of data needs to be done. Also who gets to decide what kind of data to trash?

tirlapur
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Re : Big Data Gone Wild
tirlapur   3/23/2014 4:31:01 AM
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@Hailey: Judicious trashing of old data cannot be done, because at any time any kind of data might be required for any company. And with the advent of Internet, I think deleting old data will only hamper the "free to move around" right of the average man having a healthy online footprint.

Hailey Lynne McKeefry
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Re: If I kept
Hailey Lynne McKeefry   3/22/2014 1:19:28 AM
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@Rich, don't move to London. It's officially one of the most surveilled (is that a word?) cities in the world.

Hailey Lynne McKeefry
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Re: Big Data Gone Wild
Hailey Lynne McKeefry   3/22/2014 1:18:21 AM
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@Docdivakar, thanks for these great examples. I learned something... I hadn't realized the innovation associated with RFID, but more have tracked it as part of a logistics strategy.

Eldredge
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Re: If I kept
Eldredge   3/21/2014 7:50:12 PM
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@ Rich - By that definition, we are already being stalked. I'm sure it's all for our own good!

tirlapur
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Supply Network Guru
Re: Wearable Tech and Supply Chain
tirlapur   3/20/2014 3:39:31 PM
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The supply chain can only wait till the wearable tech gains momentum. While more and more technology along the lines of connected things are approaching, many companies are warming up to the prospects of increasing their business, however, the most of the companies are still unsure whether this kind of technology would benefit people in the long run, and are hence slow in making decisions. They only want to invest until they see successful running models. This is going to make the supply chain wait over the design principles of connected technology. Supply chain cannot progress to make such technology unless it gets an "ok go" signal from the giants of companies.

docdivakar
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Re: Big Data Gone Wild
docdivakar   3/20/2014 1:19:41 PM
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@Hailey: I can give you several examples of real time and historical data analytics and combinations of both.

Brazil for example is experimenting with no license plates for cars in Rio. Vehicles will have passive RFID tags for everything related to the vehicle's use and operation in the city or wherever it travels to. In fact, RFID tags are mandatory in all vehicles starting 2014 in Brazil (http://bit.ly/1ijAjDn). The tags can be read by only authorized officials and entities and are nearly 100% counterfeit-proof. They can be used for many other applications such as the iTrack / Fastrack-like access to tolls and carpool lanes. Privacy and data security not withstanding, there are many benefits to no-license plate vehicles, such as avoiding thieves following you! The data from the pilot program was already crossing terabytes monthly in the small pilot program alone! In this application, the real time data is probably more often accessed than historic.

A use case for historic data would be the smart infrastructure examples -monitoring of bridges with sensor networks which yields large volumes of data (daily/hourly temperature data, deflections, etc.). One can then use the data to estimate the damage/stress accumulated and predict remaining usable life of that structure.

 

 

Hailey Lynne McKeefry
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Re: Threat or opportunity?
Hailey Lynne McKeefry   3/20/2014 1:24:15 AM
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@Eldredge, we've been stockpiling data for a long time now, perhaps decades. Storage has gotten cheaper and people get busy. I think, thogh, that the more we know about the data we have, the easier it will be to figure out what to keep and what to get rid of. Judicious trashing of old data will make everything much more efficient, I'm sure.

Hailey Lynne McKeefry
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Re: Big Data Gone Wild
Hailey Lynne McKeefry   3/20/2014 1:22:44 AM
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@DocDivakar, thanks for chiming in! I agree that the market is segmented and it will take time to see what will come out of all the hoopla. Most organizations underestimate how much data they could cull from various systems and many don't know how to bring it together in a useful way. More concerning, many don't know how to secure the data once it is brought together into a monetizable form. It will take time for everyhting to shake out.


Have you seen any good examples of use cases yet? or how long do you think we'll have to wait?

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