Executive Briefings

Big Data May Be New Buzz Word, But Managing Critically Important Data Isn't

The data explosion: so much to look at, so much to sift through! We are so fascinated with big! Big boats, big cigars and big shoes. But what, really, is big data? What does it mean to your business? And how can you or should you manage it? Although adoption of the buzz word is new, the management of big data is not.

Big data vs. data is really about the challenge that the data explosion presents to us. Today we have unprecedented access to multiple data sources about society, economics, products and people. It comes to us from multiple channels - systems, web and mobile. In addition, our generation, unlike past generations, is much more likely to share information with trading partners, necessitating the use of secure, managed data transport technology.

Companies have systematically accumulated a lot of their own historical data. As well, data can allow them to look at patterns in customer and environmental behavior and create predictive analytics that can help with everything from avoiding catastrophic events, detecting stress patterns in machines so they know when to repair them, to predicting demand for new products. The problem is that accumulating all this data takes space. And analyzing it takes software. Thus, the current rage in discussing big data.

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Keywords: Business Intelligence & Analytics, Business Process Management, Technology, Supply Chain Analysis & Consulting, Global Supply Chain Management, ChainLink Research, Managed Data Transport Technology, Predictive Analytics

Big data vs. data is really about the challenge that the data explosion presents to us. Today we have unprecedented access to multiple data sources about society, economics, products and people. It comes to us from multiple channels - systems, web and mobile. In addition, our generation, unlike past generations, is much more likely to share information with trading partners, necessitating the use of secure, managed data transport technology.

Companies have systematically accumulated a lot of their own historical data. As well, data can allow them to look at patterns in customer and environmental behavior and create predictive analytics that can help with everything from avoiding catastrophic events, detecting stress patterns in machines so they know when to repair them, to predicting demand for new products. The problem is that accumulating all this data takes space. And analyzing it takes software. Thus, the current rage in discussing big data.

Read Full Article


Keywords: Business Intelligence & Analytics, Business Process Management, Technology, Supply Chain Analysis & Consulting, Global Supply Chain Management, ChainLink Research, Managed Data Transport Technology, Predictive Analytics