Scope, fee and working days are published on every engagement
A dashboard is only as reliable as the pipeline behind it. These engagements fix sources, tests and definitions first, then build the reporting and AI features that are worth trusting on top.
Practice readout
DAT Working principle
Metrics get written definitions, pipelines get tests, and any model gets an evaluation set before it gets a launch date.
03 Engagements
A Postgres or Snowflake warehouse with tested dbt models, so app, payment and ad data share one set of definitions everyone trusts.
Postgres or Snowflake warehouse provisioned with access roles
Fixed fee · GST incl.
₹39,999
Duration
25 working days
Four Metabase dashboards on a governed model layer, built around leadership decisions so recurring questions no longer need an analyst.
Metabase set up with a connection to your warehouse or database
Fixed fee · GST incl.
₹14,999
Duration
9 working days
A data audit and baseline model that show whether your data supports the model you want, before you commit budget to building it.
Audit of data volume, quality, labelling and class balance
Fixed fee · GST incl.
₹18,999
Duration
10 working days
Up to eight Airflow pipelines with retries, alerts and safe backfills, replacing unmonitored cron jobs so data failures are caught fast.
Airflow environment on MWAA, Cloud Composer or your own Kubernetes cluster
Fixed fee · GST incl.
₹34,999
Duration
18 working days
An assistant that answers from your own manuals and policies with a citation on every reply, reducing repeat support questions.
Pipeline that ingests PDF, Word, HTML and Confluence sources
Fixed fee · GST incl.
₹44,999
Duration
22 working days
IDX Other practices
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