Data Discovery is a data visualization tool for Kinetic (the new name for Epicor ERP). With Data Discovery, staff can use their natural visual abilities to quickly spot areas of interest in real-time production data that they might have otherwise missed by just looking at rows and columns of numbers.
In the Data Discovery view, users can set filters and drag and drop measures and dimensions to produce rich visualizations—a process like manipulating a pivot table in a spreadsheet. They can then focus on a data point or area and drill down into the underlying ERP transactional detail.
Driven by real-time Business Activity Queries (BAQs) in Epicor ERP and other data sources, EDD complements Epicor Data Analytics (EDA)—EDD visualizes short-term, up-to-the-second enterprise data out of the box. Meanwhile, EDA allows for longer-term data exploration with full, pre-built content packs running in a cloud- based data warehouse.
Become a data-driven company able to quickly make informed decisions
EDD action buttons instantaneously switch views of your data
Data Discovery Content
Project Management Role
Epicor IoT Widgets
EDD Card Views and Dashboards in Active Home Page
Typical Usage Stories
Data Discovery Advanced
Key Performance Indicators (KPIs)
Visually rich, color-coded, and intuitive KPI tiles and dashboards can be created in minutes with this feature in Data Discovery Advanced. This expands the KPI feature—first introduced with Epicor IoT widgets in Epicor ERP version release 10.2.400—to your otherreal-time data. The stoplight approach’s greatest strength is its intuitive logic. Your organization sets the goals or operating parameters and then managers can see problems (or achievements!) at a glance and drill down into what requires their immediate attention, in real-time.
We all love maps. They provide orientation. They give us a context for the data we are using, they relate most closely to our real-life experience, and they are beautiful to look at. Now an image can act as a background in a Data Discovery Advanced visual- ization, with data points placed in context on the image. Imagine being able to see a map of your country or the world, with data points displaying information in different provinces or states, or a map of your plant floor as shown. Or an image of a machine, with data points related to sensor placement on the machine. Data points on these maps can simultaneously display data in two categories (dimensions) via size and color, and your users can drill down for more information. This map- based enhancement is sure to engage your users more than any other chart type and promote their use of real-time analytics for increased reactive productivity.