A data fabric lets companies reuse and combine different styles of data science, enabling them to reduce integration design time by up to 30%, deployment by up to 30% and support by as much as 70%.

Too much privacy—just like too little privacy—can undermine the ways we can use information for progressive change, writes Orly Lobel.

It's time data collection catches up. ... For example, the MAPS Project has used data models that forecast changes in the demographics of higher education through 2030.

Unfortunately, changes in data-collection methods and an increase in privacy laws, including the move to cookieless browsers, are forcing marketers to move away from this reliance on third-party data.

In data collection, we design the necessary parallel groups for intervention studies. We ensure the planned sample size is sufficient for the selected analysis methods and provides reliable assessment ...

They found that 14.2% (1,618 apps) contained a privacy policy with logical contradicting statements about data collection. Examples include privacy policies that stated in one section that they do ...

Data are generated every time we make a purchase or receive other services such as health care. This has always been the case, but over the past 20 years, data collection has become increasingly ...

It's time to move on from the old method of pen-and-paper documentation in long-term care. Point-of-care electronic data collection offers improved accuracy, communication and resident care.