"data techniques" is a correct and usable phrase in written English.
It can be used whenever discussing methods or approaches used to analyze or handle data. Example: "Our company has implemented new data techniques to improve the accuracy of our market analysis."
But as more companies instil big data techniques, customers will cooperate, on the premise that they will benefit.
HR departments are always under pressure to be more analytic, employing big data techniques — which is justified to some extent.
And more and more, we find companies using data techniques to spot irregularities in payments and receivables.
Big data techniques helped it to save around €10 billion, or $12.7 billion, in recent years.
Big data techniques are also used by the Department of Human Services to improve service delivery, including creating more personalised services and detecting fraud and compliance issues.
As a very perceptive academic study of predictive analytics points out, there are some serious downsides to this application of big data techniques.
Backed by cloud services and big-data techniques, the unprecedented data gathering capabilities of drones have the potential to radically alter the competitive dynamics of the information landscape.
Big-data techniques will guide the treatment of individual patients, as well as the best ways to organize our systems of care.
By using dynamic panel-data techniques, I aim to overcome this shortcoming.
As big-data techniques become commonplace, it's becoming easier to navigate these masses of data, and so cut down on the number of repeated tests and treatments.
The McKinsey report is based on the assumption that companies from all sectors of the U.S. economy will fully adopt big-data techniques by 2018.
