Case study · Legacy modernization

Dango – Automated Reporting System

75% reduction in reporting time – 12-week engagement replacing a 4-day manual workflow with an automated pipeline for Dango.

Industry Education analytics · Engagement 12 weeks · Stack Java · Spring Boot · PostgreSQL

75%Reporting time reduced
120hSaved per month
12wkEngagement
0Production incidents

We replaced a legacy reporting workflow with an automated pipeline – cutting analyst time from 4 days to 1 without disrupting production.

Client

Mediacom

Timeline

12 weeks

Time saved

120h / month

Stuck in a maze of manual data processing

Every Monday the same loop: pull, reconcile, format, distribute. Analysts spent four days a week on a report that should take one hour.

  • Three siloed data sources reconciled by hand – no shared schema, no API, no source of truth.
  • Twelve stakeholders blocked every week, waiting for finance before they could move.
  • Zero audit trail on the numbers that landed on the board’s desk.

Dango – automated reporting that runs while your team sleeps

A self-serve pipeline that ingests, validates, and ships your weekly reports – no analyst intervention needed.

Automated ingestion

We map how your team handles each data source, then automate retrieval, cleaning, and validation. Reports generate themselves in 1 day instead of 4.

Schema unification

Three legacy systems mapped to a single canonical model. Cross-source joins run on demand instead of overnight.

Auditable pipeline

Every transformation logged, every error surfaced at the source. Audit logs are queryable – reviewers don’t wait on engineering.

One workspace, every report

The reports view – every output, every run, one source of truth.

How we shipped it

Twelve weeks, three phases. No mystery.

Weeks 1–3

Discovery & data audit

Mapped every report source, traced the manual steps, scoped the schema gaps. No code yet – just the truth about how reporting actually worked.

Weeks 4–9

Pipeline + schema build

Built the ingestion layer, unified the canonical model, wired validation. Reports started running unattended in week 8 against a live mirror.

Weeks 10–12

Cutover + audit trail

Production switch with the analyst team shadow-checking every output. Compliance sign-off on the audit logs. Zero rollback events.

Results

Same reports. A quarter of the time.

Before

4 days

After

1 day

75%

reporting time saved

120h

analyst hours / month freed

12 wk

discovery to cutover

0

rollback events

Have a similar problem? Let’s talk.

If your team has a complex technical challenge – scaling a methodology, modernizing a legacy system, or building a data product – we’d like to hear about it.

No deck, no sales pitch – just a conversation about what’s broken and what it would take to fix it.