A Dashboard is a customizable container for one or more visuals, which are what represents the data pulled from the system. Logiwa Analytics comes with a number of pre-built dashboards, but they can also be created as needed.

Once a dashboard has been created, it can be named, sorted, and searched to be used repeatedly. It is recommended that the visuals in a dashboard be related for easier data analysis; however, this is not a requirement.

For more information on creating dashboards, cloning dashboards, pre-built dashboards, and other topics, please refer to the Logiwa Analytics: Dashboards article.

Visuals are what you add to a dashboard to visualize the data sources you have access to. Each visual typically presents one metric broken down by a criterion over time, though some visuals use other criteria. Visuals have extensive filters that can be used to add or remove data, thereby allowing for more granular control of the data you see at a given time.

Data within the data sources be shown as various types of visual, including:

The styles and contents of visualizations can be extensively customized. For an in-depth look at this topic, visit the Logiwa Analytics: Creating Visuals article.

Data sources are the collections of data used to generate visuals in dashboards and reports. This list contains a brief overview of what each source provides. Each data source refreshes every 15 minutes. Once loaded, there is no need to refresh your screen to get updates; dashboards will also be refreshed automatically.

Billing: This is the source of billing data. You can find your calculated billing records and use them to create reports.

History: Includes the history of changes to most fields within the warehouse, from accounts active to product names, transaction times, and more.

Inventory: This data source shows the inventory in your warehouse(s). In addition, you can find location/item/LP-related fields and create visuals based on these values.

Inventory Snapshot: Displays a more limited view of the inventory in the warehouse.

Item Master: This data source provides item master data with a variety of item fields like item main, sub, detail category, sales/purchase price, serial, lot, expiration date, production date, etc.

Location: This data source includes information related to warehouse locations.

Missing Item Log: This data source tracks data on missing items, such as their item ID, sales price, quantity, or which client they belong to.

Order Carrier Label: This data source includes important carrier information.

Order Details Info: This data source covers item details, quantities, prices, order status, and other such information.

Order Master: This data source covers a wide range of order master data, ranging from address and customer details, carrier/markup rates, and data on shipping time.

Order Shipment: This data source shows shipment order data including awaiting and shipped orders, along with other fields like shipment order detail fields, customer & address-related fields, item-related fields, etc.

Receiving: This data source provides receiving data including awaiting and completed orders, along with other fields like receipt order master/detail fields, vendor & address-related fields, item-related fields, etc.

Task/Job Count: This data source contains information about counts.

Task/Job All: The broadest Task/Job data set, will display all fields related to tasks and jobs from the system.

Task/Job: This data source allows you to see tasks with statuses, shipment order master fields, location-related fields, item-related fields, etc.

Task/Job Replenishment: Narrows the task/job data set to focus on replenishment-related information.

​User Productivity: This data source provides information about user performance based on warehouse and client. You can combine picked, packed, replenished, received, and counted quantities.

It's easy to manage user access to Logiwa Analytics as well as individual dashboards. This section will walk you through granting/removing user access, then dashboard access.