As localities slowly begin to reopen, technology will be an essential part of the process. The digital infrastructures at the heart of many modern cities may prove critical to keeping the coronavirus at bay. There are many other potential coronavirus-related applications for video in digitally connected cities and the organizations within them. Some, such as using facial recognition for contact tracing, may be controversial, and there are certainly privacy and security issues that municipalities must address. But the fact that a device as simple as a mounted camera combined with powerful analytics software might be used to accomplish in just a few seconds what would otherwise be quite difficult — that’s something localities and other organizations must consider.

Organizations keep their data in a lot of different places: onsite, in the cloud (another person’s data center) or in an all-in-one data warehouse. Often, this data is siloed. But if an organization could harness the power of its data and become a data-driven organization, it would be able to grow and compete more effectively. The company could move mountains — or so the idea goes. So why do data projects fail, and how can changing the organization’s culture turn things around?

Until someone invents a crystal ball, business analytics tools are the best way to achieve a deeper understanding of business trends, such as emerging opportunities and changes in customer expectations and habits. The latest BA tools also enable organizations to unlock insights that otherwise would require hiring data scientists.

Retailers that do business in the European Union are settling in to the new normal of operating under the privacy and security provisions of the General Data Protection Regulation. In the early days, retail IT teams paid significant attention to the structure of their back-end systems, trying to understand how to modify them to meet…

Creating a solid use case for data is like cooking a great meal. You need the correct ingredients, or data. You also have to take special needs into consideration (is anyone allergic to any ingredients? is the data sensitive, subject to regulation?). With both food and data, you want to know where it’s sourced (is…