Free Real-Time Analytics Readiness Assessment for AWS - Data Foundations

Analytics that are fast and wrong are worse than analytics that are slow. That is the risk nobody prices when “real time” goes into a roadmap, and it is the one this assessment is built to find.

WHAT IT IS A four-hour working session in which Vivanti data engineers connect Dagen.ai to your Amazon Web Services (AWS) environment and measure it against the demands of real-time and near-real-time analytics: how fresh your data genuinely is by the time a person sees it, where latency is introduced and whether it can be taken out, and what the numbers look like at the volume and concurrency you are planning for rather than the ones you have today.

This is a working session, not a discovery call. Bring the people who know your pipelines.

WHY THESE FINDINGS ARE DIFFERENT Your Dagen.ai free trial is provisioned before the session and run live during it. The trial includes agent compute credits, up to three connected data sources, up to five autonomous pipelines per month, and access to all nine Dagen specialist agents with tri-layer, session-scoped memory. Sign-up by email, Google SSO, or GitHub, and the account stays yours afterward.

Running the assessment live gives you real information. That is the part no architecture review gives you. You watch the platform run against your own pipelines, so the latency in your report is measured rather than inferred, and the fragilities in your audit are ones the agents actually hit.

WHAT WE DO TOGETHER Connectivity and discovery. Secure read-only connection established; the Metadata Discovery Agent runs against the tables that feed the reports you care about. Agentic analysis. Dagen profiles the sources, maps the relationships between them, and performs dialect and dependency analysis: where each number on a dashboard comes from, and how many hops stand between the event and the answer. Simulated build. A target Apache Iceberg schema is generated and a transformation pipeline simulated for the domain you chose, so the target state is a concrete path rather than a diagram. Synthesis and findings. We walk the readiness report together: broken views, unprotected personally identifiable information (PII), schema mismatches, and the pipeline fragilities that turn a live dashboard into a confidently wrong one. Roadmap handoff. The specific next step that maps to what we found, or the reasons to wait.

WHAT YOU GET OUT OF THIS 1. Project Complexity Score. What moving to real time actually costs you in effort, so the commitment you make is one you can keep. 2. Risk Audit. The blocking issues named explicitly: high-risk PII, cross-dataset dependencies, and the fragilities that break a pipeline quietly and leave the dashboard running. 3. Target-State Blueprint. A conceptual architecture that serves the query patterns you actually have, whether that means reshaping your current estate or moving to one built for the job. 4. Business Case. Current run-rate against projected efficiencies, including the places where real time reduces cost rather than adding to it.

WHO THIS IS FOR Teams being asked for real-time or near-real-time reporting on an estate designed for batch. Teams whose refresh windows have quietly stopped fitting inside the business day. And teams who already know the freshness number is bad and need it measured, named, and costed before anyone will fund the fix.

WHY VIVANTI AND DAGEN Vivanti has spent two decades preparing enterprise data for activation across financial services, health and life sciences, supply chain, media and entertainment, the public sector, and more. Dagen contributes the part that tells you what's happening once data moves fast: its agents monitor for schema drift, service-level breaches, and data quality anomalies, and act on them rather than waiting for someone to notice. A pipeline that fails at 3 a.m. and stays broken until an engineer wakes up is the whole problem with real time, stated plainly.

WHAT HAPPENS NEXT IS YOURS TO DECIDE The four artifacts are yours to keep and to use. If you want help, we will tell you which use cases fit what we found. If the honest answer is that batch is serving you well enough, we will tell you that too.

No cost. No obligation. Request a private offer to schedule