Primavera P6 analytics for AWS teams

Bring P6 schedule review facts into your AWS analytics lane.

Keep SuperWave-XER local-first for the scheduler, then hand AWS and IT teams derived review facts for dashboards, portfolio workflows, governed storage, and downstream analytics without exposing raw XER bodies by default.

Start a local XER review Existing customer sign in

possible now iAppSys branded direct URL demo

Why this matters.

AWS is the cloud analytics lane; XER review stays evidence-first and local-first.

Possible now AWS is the cloud analytics lane; XER review stays evidence-first and local-first. demo

Data boundary Raw XER bodies and source paths stay out of API, MCP, admin, and visual payloads. safe

Next conversation Start with local P6 review, then publish derived facts only when approved. action

1. Local review first

Run the XER baseline/update review, parser health, DCMA orientation, and critical-path checks before cloud handoff.

2. Derived facts only

Use hashes, summaries, review rows, visual indexes, and evidence references rather than raw schedule bodies.

3. AWS buyer path

Discuss S3, Athena, Glue, QuickSight, or lakehouse patterns after the evidence boundary is clear.

Choose your deployment model.

SuperWave-XER can be discussed as a product inside your data center, inside your cloud account, or as a managed hosted path. The boundary and operating responsibilities stay explicit.

On premise

Install inside your secure data center with your own network, storage, identity, and operations.

DIY

Run from Docker or source code when you want to own deployment and upgrades.

BYOC

Bring your own cloud account and retain control of tenancy, keys, network, and data placement.

FedRAMP environments

Shape a boundary-specific federal deployment with inherited controls reviewed separately from application controls.

Meet your analytics platform where it is.

Primavera P6/XER remains the scheduler input. Publish governed derived facts and evidence references to Snowflake, Databricks, Google BigQuery, Amazon Redshift, or MotherDuck when the selected architecture approves that path.

Snowflake

Warehouse trends, dashboards, and portfolio reporting.

Databricks

Lakehouse notebooks, pipelines, and governed models.

Google BigQuery

Curated schedule facts for SQL analytics and reporting.

Amazon Redshift

Warehouse-ready review summaries and portfolio views.

MotherDuck

Collaborative DuckDB analytics for lightweight sharing.

iAppSys brings FedRAMP experience and is working toward CMMC Level 2 certification. This is future/compliance-oriented deployment posture, not a blanket FedRAMP or CMMC authorization claim for every installation.

SuperWave-XER Demo Landing Page Tour. iAppSys branded. These pages are public read-only demo pages linked from the landing page; raw_xer_body_returned: false.