• Accelerate the engagement: Automates the analysis (70% reduction in effort) and recommendation of non-IBM customer workloads for potential move to Watsonx.data.
• Automate the ingestion: Migrates these workloads to Watsonx.data cheaper, faster, better.
• Create upsell opportunities: Delivers a customer ready ROI forecast model to motivate the transition of new, non-IBM workloads to Watsonx.data. The services team can add incremental value beyond the original SOW.

Note: Our DataDios suite of products has been successfully utilized in Expert Labs engagements with DataStage and IBM Knowledge Catalog and we are in the process of getting a PID approved by IBM procurement.

DataDios Workload Analyzer reduces risks via the automation of the workload analysis that is a very critical component of a successful engagement. Automation is the way to go; a manual assessment is not only a monumental task, the chances of getting it wrong and the potential for an unhappy customer is very high.

The short answer is – Yes. For instance, with Snowflake, DataDios can programmatically access cost factors. For Watsonx.data, we’re currently waiting on the API hooks to retrieve cost information. Once these are in place, the DataDios Workload Analyzer will generate and provide a client-ready ROI forecast.

Here are the steps:

• The sales rep introduces Watsonx.data to the customers and explains how it can optimize OpEx by moving non-IBM workloads to Watsonx.data.
• After confirming the client’s interest, the sales rep should highlight DataDios’ ability to automatically deliver accurate ROI forecasts.
• Offer the client a POC to show them the actual savings with Watsonx.data.
• To start this POC, reach out to Rishi Kumar from nFolks – rishi@nfolksdata.com. The POC usually lasts 2-4 weeks.
• During the POC, we’ll use the DataDios Workload Analyzer tool, which cuts down costs and time by 70%.

At the end, the client receives a detailed report showing which Workloads should be moved to Watsonx.data, and the expected cost savings.

To get started, reach out to Rishi Kumar from nFolks – rishi@nfolksdata.com. nFolks manages the end-to-end engagement (except for the project manager who is typically a client or IBM resource), structured in two separate phases:

• Phase1: Identify client recommended client-recommended workloads from a single data source for potential migration to Watsonx.data. The DataDios software accelerator can reduce cost and effort by 70%. Upon completion of this 2 to 4 week effort, we’ll deliver a detailed report.
• Phase 2: Once source workloads are finalized by the client for migration, nFolks will complete the workload migration/ingestion task accelerated again by our DataDios Workload Analyzer software.

Given the substantial cost savings that this effort delivers, we anticipate that the client will likely want to repeat phases 1 and 2 above for migrating additional workloads.

DataDios Workload Analyzer extracts query, run statistics, table & database storage details, and query-to-table object associations. All analysis is retained within the client’s IT environment.

DataDios Workload Analyzer currently supports Snowflake and Teradata, with Hadoop integration set for completion by October’s end. Our agile methodology ensures quick extensions — typically one to two weeks — for new databases and sources. Present us with a hot opportunity, and our engineering team will deliver!