“Our aim is to make data accessible to everyone on project teams, not only data engineers or analysts,” Elizabeth said. “This may increase transparency and improve efficiency amongst cross-functional teams.”
Zoho has also brought its in-house AI engine, Zia, to the platform to automate data evaluation and generate insights. For example, Zia can spot project bottlenecks and take corrective motion, determine where resources are being underutilized or overutilized and tap the correct people based on their skills, and make predictions based on how a project goes in order that managers could make adjustments to avoid delays and value overruns.
“Zia’s ability to generate real-time insights based on various project metrics significantly increases the success probability of the project, and conversational AI enables users to ask questions on the project,” Elizabeth explained. For example, teams can ask Zia to indicate them overdue tasks, and Zia will robotically pull out that data.
