See on Scoop.it – Corporate Challenge of Big Data
The real changes in our lives will come from products that have the richness of data without calling attention to the data.
See on strata.oreilly.com
Advertisements
Data mining
All posts tagged Data mining
See on Scoop.it – Corporate Challenge of Big Data
Gartner is right about big data projects proceeding slowly in the corporate world. People are still figuring out how exactly big data works.
See on www.fiercebigdata.com
See on www.topcoder.com
If you’ve yet to dive into material and begin to understand the impact of what is called the quantified self, we suggest you do. This movement is about to get huge as the sheer volume of those classifying themselves as self-quantifiers is doubling annually. As barriers to quantified self fall – via ever smaller sensors, ever smarter data and ever more passive ways to collect and analyze the data – the continuation of individuals into the greater movement accelerates. If your world is technology and you believe in the consumerization of IT, understand now that quantified self is about to jettison the niche realm and rightfully proclaim the position of next.
See on www.topcoder.com
See on Scoop.it – Corporate Challenge of Big Data
If it is hard to integrate the predictive analytic models that result from your modeling solution into your software product you will spend time and money making your analytics actionable, time and money you could have spent elsewhere. A strong set of APIs, an awareness of how predictive analytics are being used in real-time and good integration tools are critical.
See on smartdatacollective.com
See on Scoop.it – Corporate Challenge of Big Data
Big data is rapidly transforming the way we think, work and play. It is helping enterprises use their data to improve their processes, recognize anomalies and better connect with customers.
See on www.cio.com
See on Scoop.it – Corporate Challenge of Big Data
Big data can deliver new evidence in court. Several American examples indicate that big data collected and analysed from public data sets can be admitted as evidence.
See on smartdatacollective.com
See on Scoop.it – Corporate Challenge of Big Data
[M]aster data continues to be a critical concern for large and medium-sized enterprises…basic records on customers, products, suppliers, employees, locations, assets and more…
Unfortunately, in most organizations, this operational information is duplicated and scattered across multiple systems and applications. As it evolves independently, it becomes error-prone and keeps decision makers from having a unified view of operational intelligence. The disparate information also prevents customers from getting the accurate and timely information they need to make purchasing decisions.
See on insideanalysis.com
