As we’ve discussed before, before you can realize any value from utility data, a reliable data pipeline is required. This data pipeline must be integrated with all the disparate sources of data that the utility might possess, such as WFM software HES, ERP, CRM and the list goes on. The pipeline architecture also needs to be purpose-driven rather than simply collecting data for the sake of it. All information, from meter data, to consumer data and information on field force activities has to go through a secure ingestion process, it must be accompanied by the relevant context and it must be shared with the right people for operational, planning or execution purposes.
There are multiple softwares that provide the ability to analyze data once it is available, and we thought it would be a good idea to see how they stack up against Grid. Today, we’re looking at Yellowfin. Both Yellowfin and Grid provide support to utility companies in managing different stages of the data pipeline. Yellowfin is widely regarded as one of the world’s best software when it comes to business intelligence tools, with interactive dashboarding and AI-assisted analytics. Grid, meanwhile, focuses on end-to-end operational data management, while also providing world-class business intelligence and analytics features. The main difference is that Grid is a platform designed for utility specific requirements: integrating data from multiple sources, automating triggers and workflows, data warehousing and analytics, etc.
Both platforms enable utility stakeholders to view their data and act upon it. However, the extent of their capabilities across the data pipeline management varies. And this is an important distinction, since getting the most complete, up to date and comprehensive data is what’s ultimately important - you may have the most impressive BI toolset, but if the data you’re pushing through it is incomplete or out of date, you’re going to see absolutely no benefits whatsoever.
Let’s make a detailed comparison between Yellowfin and Grid for utility data pipeline management:
A Head-to-Head Look At Yellowfin and Grid: Which Platform Supports Your Utility Requirements Better?
FAQs
Do Yellowfin and Grid support utility-specific integrations?
Yellowfin’s platform supports 200+ connectors for enterprise systems (Salesforce, SQL). However, it does not provide utility specific connectors. Grid is designed to facilitate seamless integration utility systems via native connectors for SCADA, AMI, GIS, etc, allowing for real-time data ingestion across layers.
Can reports be customized in Yellowfin and Grid?
Yes, Yellowfin and Grid enable users to create custom reports and dashboards with filters and dropdown features. Both platforms also allow users to create role-based access configurations for reports (managers, CXOs, engineers).
How does Grid’s API Outbound compare to Yellowfin’s data export capabilities?
Yellowfin comes with webhook and data export features that can be extended to connect to other systems but calls for external configuration. Grid comes with native outbound APIs and connectors, enabling seamless data exchange between legacy and modern utility systems.
How does Geospatial Mapping differ in Yellowfin and Grid?
Yellowfin has built-in geospatial mapping support for map-based visualizations of assets, field activities, event heatmaps, etc., but does have native support to enable real-time ingestion of geospatial data. Grid connects directly with GIS solutions, which allows utility teams to track real-time flow of assets, events, field clusters, outage zones, etc.
