Have you ever created a dashboard that had so many data visualizations that users were forced to scroll (and scroll) down the screen to find the information they’re looking for? We’ve all been there. Sometimes you need to fit a LOT of information in a single dashboard. But adding a LOT of information is overwhelming to users. Enter the principle of progressive disclosure.
The importance of data and analytics for modern organizations is no longer up for debate. Every day, organizations capture and store increasing volumes of data. That raw data then needs to be transformed into meaningful analytical insights that can be used to make data-driven business decisions. There is no shortage of analytical tools to choose from.
Salesforce’s Educational Data Model (“EDA”) is an innovative and flexible architecture that gives educational institutions from K-12 to higher education a way to capture a 360-degree view of their students. With EDA, institutions can easily view the relationships that students have with faculty, staff, academic advisors, family members, and even memberships with academic departments and student organizations. It’s truly an innovative data architecture built on the Salesforce platform designed to facilitate a Connected Campus.
The Role of Einstein Bots in Manufacturing
In part three in the series “The Art of the Possible: Manufacturing,” let’s explore use cases Chatbots and AI for manufacturing.
The manufacturing industry is well-positioned to take advantage of AI enabled chatbot functionality. According to a recent Salesforce “State of Service” report, 24% of manufacturing customer service professionals currently use AI chatbots with 33% planning to use them in the next 18 months. The projected growth rate of AI chatbot use in the manufacturing industry over the next 18 months is 137%.