Construction projects can be highly complex and are not without possibilities of inefficiency and risks. These challenges can result in project costs and delays. Construction Dive brought this topic to our attention in their article, “How predictive AI will curb construction risk and improve decision-making.”
Many engineering and construction organizations are exploring their automation options. Traditionally, organizations have focused on gaining operational improvements by using technology to refine processes and procedures, but the data gathered from digitization can sometimes be an afterthought.
In the current market, data is key. Data and business intelligence (BI) can help organizations make the right decisions and at the right time. However, there are two critical components to BI – the data itself and the analyst who interprets the metrics.
However, when it comes to incorporating BI into strategy, many marketing teams encounter several questions. It’s not just the software or the tools that make the data valuable, it’s the knowledge behind it. Knowledge is power in every facet of business.
Melody K. Smith
Sponsored by Data Harmony, a unit of Access Innovations, the world leader in indexing and making content findable.
