Who should use the Behavioral Analytics workflow?
Teams or solo builders working on data tasks who want a repeatable process instead of one-off tool experiments.
Journey overview
How this pipeline works
Instead of relying on a single generic AI model, this pipeline connects specialized tools to maximize quality. First, you'll use Dynatrace Davis AI to inputs, context, and settings are ready so the workflow can move into execution without blockers. Then, you pass the output to a specialized tool to supporting assets from optimize campaigns using real-time analytics are prepared and connected to the main workflow. Then, you pass the output to a specialized tool to supporting assets from embed analytics into other applications are prepared and connected to the main workflow. Then, you pass the output to Exabeam to a first-pass decision-ready insight is generated and ready for refinement in the next steps. Then, you pass the output to a specialized tool to the decision-ready insight is improved, validated, and prepared for final delivery. Then, you pass the output to a specialized tool to the decision-ready insight is improved, validated, and prepared for final delivery. Finally, a specialized tool is used to a finalized decision-ready insight is ready for publishing, handoff, or integration.
A finalized decision-ready insight is ready for publishing, handoff, or integration.
Predictive Analytics
Inputs, context, and settings are ready so the workflow can move into execution without blockers.
Prepare inputs and settings through Predictive Analytics before running behavioral analytics.
Predictive Analytics sets up the foundation for behavioral analytics; clean inputs here reduce downstream rework.
Inputs, context, and settings are ready so the workflow can move into execution without blockers.
Use Optimize campaigns using real-time analytics to build supporting assets that improve behavioral analytics quality.
Optimize campaigns using real-time analytics strengthens behavioral analytics by feeding better supporting material into the pipeline.
Supporting assets from optimize campaigns using real-time analytics are prepared and connected to the main workflow.
Use Embed analytics into other applications to build supporting assets that improve behavioral analytics quality.
Embed analytics into other applications strengthens behavioral analytics by feeding better supporting material into the pipeline.
Supporting assets from embed analytics into other applications are prepared and connected to the main workflow.
Execute behavioral analytics with Behavioral Analytics to produce the primary decision-ready insight.
This is the core step where behavioral analytics actually happens, so it determines baseline quality for everything after it.
A first-pass decision-ready insight is generated and ready for refinement in the next steps.
Refine and validate behavioral analytics output using Provide recruitment analytics before final delivery.
Provide recruitment analytics adds quality control so issues are caught before the workflow is finalized.
The decision-ready insight is improved, validated, and prepared for final delivery.
Refine and validate behavioral analytics output using Predictive Demand Analytics before final delivery.
Predictive Demand Analytics adds quality control so issues are caught before the workflow is finalized.
The decision-ready insight is improved, validated, and prepared for final delivery.
Package and ship the output through Behavioral Biometrics Analysis so behavioral analytics reaches end users.
Behavioral Biometrics Analysis is what turns intermediate output into a usable, publishable result for real users.
A finalized decision-ready insight is ready for publishing, handoff, or integration.
Start this workflow
Ready to run?
Follow each step in order. Use the top pick for each stage, then compare alternatives.
Begin Step 1Time to first output
30-90 minutes
Includes setup plus initial result generation
Expected spend band
Free to start
You can swap tools by pricing and policy requirements
Delivery outcome
A finalized decision-ready insight is ready for publishing, handoff, or integration.
Use each step output as the input for the next stage
Why this setup
Repeatable process
Structured so any team can repeat this workflow without starting over.
Faster tool selection
Each step recommends the best tool to reduce trial-and-error.
Quick answers to help you decide whether this workflow fits your current goal and team setup.
Teams or solo builders working on data tasks who want a repeatable process instead of one-off tool experiments.
No. Start with the top pick for each step, then replace tools only if they do not fit your pricing, compliance, or output needs.
Open the mapped task page and compare top options side by side. Prioritize output quality, integration fit, and predictable cost before scaling.
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