A solid data management strategy can reap rewards for any business seeking to capitalize on the value of data. Still, the road to data-driven decision-making remains rife with challenges and conundrums.
With organizations increasingly turning to data science to derive business value, the tools that support the work are proliferating. Here are the key tools successful data scientists rely on.
Tying together customer data from various sources, customer data platforms (CDPs) provide detailed profiles of customers and the means for delivering customized marketing to them.
Enterprises looking to supplement their data-driven decisions or digital services with data they might not otherwise have on hand have a growing number of options to turn to.
When it comes to infrastructure and production systems, stability is king. And yet change persists, as organizations seek greater security and faster speeds u2014 without sacrificing reliability.
With companies increasingly shifting most or all of their workloads to the cloud, the reasons for rolling your own server rack are dwindling u2014 but still very compelling.
From design to service and beyond, product lifecycle management (PLM) suites and platforms help coordinate the work of developing, maintaining, and improving products of all stripes.
Enterprises are increasingly looking to APIs to make their services more interoperable — and more profitable. But beware the following issues that could undercut the value of your API.