Monte Carlo announced Data Product Dashboard, a new capability that allows customers to easily define a data or AI product, track the health of corresponding data tables and training sets, and report on the product’s reliability to business stakeholders, directly in their data observability platform.
“As companies ingest larger volumes of data, the opportunity to build impactful and innovative data products exponentially grows. In order for data and AI products to realize their full potential, however, data teams must treat them with the same diligence as software applications, and that includes ensuring their accessibility, performance, and most importantly, reliability,” said Lior Gavish, co-founder and CTO of Monte Carlo. “Data Product Dashboard is the first solution of its kind to help organizations manage and improve the data quality of the tables and assets powering their most critical data applications, and in the process, foster greater trust and collaboration between data teams and their stakeholders.”
With the launch of Data Product Dashboard, customers can now easily identify which data assets feed a particular data product and unify detection and resolution for relevant data incidents in a single view.
Available to all customers today, Data Product Dashboard will focus on three main areas to help data teams better track and improve data health and reliability for critical data products across the organization:
- Define data products. Data Product Dashboard makes it easy to define the scope of specific data products based on the tables feeding it and their data and AI products, including dashboards and large-language models. Users can select the relevant tables and their associated assets to define specific data products, thereby keeping everyone aligned on data product definitions.
- Track data product health over time. The solution reports on key data health metrics and KPIs over time, including the number of incidents impacting a given data product, incident status and severity, monitor coverage for the tables feeding a given product, and more. This enables teams to create both trust and accountability in the data, tying your tables and assets directly to tangible business outcomes.
- Communicate data product reliability to stakeholders. Data Product Dashboard makes it easy to share high-level stats about data product reliability with downstream stakeholders, executives, and others reliant on them to inform their work.
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