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DataWeave Reviews & Insights

Score7 out of 10

3 Reviews and Ratings

Community insights

TrustRadius Insights for DataWeave are summaries of user sentiment data from TrustRadius reviews and, when necessary, third party data sources.

Pros

Valuable Content Monitoring Tool: Users consistently find Dataweave to be a valuable tool for monitoring and improving content on various platforms. They appreciate the comprehensive insights provided by the analytics and dashboards, which allow them to make data-driven decisions. Many reviewers have praised Dataweave's ability to track 6Ps - Product, Price, Promotion, Place, People, and Performance - in a timely manner.

Prompt Understanding of Requirements: The customer success team at Dataweave is commended for their prompt understanding of requirements. Users highly value this level of responsiveness as it allows their needs to be met efficiently.

Time Saving Automation: Users save significant time with Dataweave's fully automated process for tracking product performance on customers' websites. Manual data collection and analysis are no longer necessary. This automation enables users to focus on other important tasks while still obtaining accurate insights into their products' performance.

DataWeave Reviews

1 Review

Room for Growth

Rating: 6 out of 10
Incentivized

Use Cases and Deployment Scope

So we are not a retailer and did not use this in the traditional sense. We are a service provider so we used it to compare pricing for the services we provide OUTSIDE of listing - i.e. commercial BPOS, property evaluations for banks and holding companies etc.

Pros

  • Comparison
  • Analysis
  • Advise on pricing

Cons

  • Utilization more toward service
  • Additional means of research for data
  • Category additions

Likelihood to Recommend

Again, this is not being used in the traditional way but rather outside of the box. For service, I think there are a lot of options to add functionality. Although it does function it just does not function as well as it could with additional analytic data from prolonged research. More time would do this well for service pricing.