Emerging business models for the IoT focus on monetizing all that data.
A study shows that fewer than 8 percent of the 86 countries surveyed publish data sets on government budgets, spending and contracts as open data.
While organizations often find that the cloud makes it easier to add external data, cloud-based BI can encounter problems when dealing with legacy system data.
Wikibon CTO David Floyer has a plan for obtaining a decent ROI on Big Data, and it involves Hadoop and inline analytics.
In the early days, integration with legacy IT systems was a problem for SaaS, but now, APIs have largely resolved integration.
The data deluge is a multi-pronged problem for businesses.
This week in data news, integration trends for the year, Big Data investments and midsize IT data skills gaps.
If the past is a predictor of the future, we can expect that the IoT will take off in 2015, and then we’ll spend 2016 unraveling the data problems.
Instead of focusing on the challenges of cloud integration, it may be time to look at some of the successes that have been achieved.
Building up data and analytics literacy is a crucial task right now, but how to do it?