Teradata AnalyticOps

Teradata is a pioneer in this space. The company does not yet provide an encapsulated AnalyticOps or model management product per se (and thus there is no “product” for us to review) but nevertheless it is acutely aware of the growing importance of these areas. Accordingly, Teradata offers an AnalyticOps Accelerator, a software and services offering comprised of best practices, proven design patterns, and tried-and-tested code, which jointly enable the client to implement an AnalyticOps Framework to support robust and continuous operationalisation of analytics, as illustrated in Figure 1. These assets have been taken from successful real-world projects and Teradata services, and genericised so that they may be reused and customized to other client settings. The services and technical IP of the AnalyticOps Accelerator are designed to help organisations get up and running with AnalyticOps and model management very quickly, accelerating deployment and increasing return on investment. While the company has told us that it intends to productise some or all of its AnalyticOps capabilities, it has not done so yet. Thus, the AnalyticOps Framework is available primarily via a services engagement.

Fig 01 – Teradata AnalyticOps conceptual architecture

We should say that we have seen a demonstration of what can be achieved using Teradata’s AnalyticOps Framework, and it was impressive. It included model performance monitoring and management, job management (but not approval workflows, though the company has integrated approvals since the demo we saw), model comparisons (champions and challengers), and the ability to examine model history and track changes. The company is not providing bias detection (it, perfectly reasonably, sees this as a part of the data science function) but does have explainability on its roadmap.