Service 02 — Business Intelligence

One dependable source of truth — across every client.

Cloud-agnostic data warehouses and reporting across Azure, GCP, and AWS, plus a proprietary rollup platform built specifically for the problem multi-client BPOs face: reconciling performance across clients who each run a different CCaaS platform.

What We Do

Five ways we work on your data and reporting

From a single source of truth to a rolled-up view across your entire book of business.

01 — DATA WAREHOUSE ARCHITECTURE

One dependable source of truth

We design and build data warehouses that give you a single, trustworthy place to look — cloud-agnostic across Azure, GCP, and AWS, so you're never locked into one vendor's roadmap because that's where your data happens to live.

02 — STANDARDIZED REPORTING

Clean, consistent, repeatable

We develop standardized migration tooling that moves your platforms into clean, consistent tables and reports — cutting down the time and risk of reconciling data by hand every time leadership asks a "quick question."

03 — AI-NATIVE ANALYTICS

Ask your data a question in plain English

Where it makes sense, we configure the AI-native layers already built into your BI stack — natural-language querying, automated anomaly detection, and proactive insight alerts — so your team gets answers without waiting on a report request.

04 — MULTI-CLIENT ROLLUP REPORTING

Built for BPOs specifically

Our proprietary reporting platform pulls data from any CCaaS system, transforms it into a standardized structure, and generates templated reports at either level — a single client's dashboard, or a rolled-up view across your entire book of business.

05 — CONTINUUM

Keeps up with business demand

Source systems change, platforms update their data models, and the business starts asking new questions. Continuum is our monthly plan that keeps your warehouse and reports matching those changes without you having to ask, and keeps everything optimized so your BI keeps pace with business demand instead of quietly falling behind it.

What We're Seeing

What bad reporting actually costs

1.8 hrs/day

Average time knowledge workers spend searching for or compiling information instead of acting on it (McKinsey).

24%

Share of executives who say their organization is truly data-driven, despite years of BI investment (NewVantage Partners).

60%+

Estimated share of self-service analytics rollouts that stall before ever delivering real business value (Gartner).

3.9 / 3%

Average technologies juggled per contact center — every additional platform in a BPO's client book multiplies the manual reconciliation work behind one rolled-up report.

Sources: McKinsey, NewVantage Partners Big Data & AI Executive Survey, Gartner, Metrigy CX MetriCast 2026.

How It Works

A BI engagement, start to finish

01

Assess

We audit your current reporting — every spreadsheet, dashboard, and data source — and where the numbers stop being trustworthy.

02

Design

We architect the warehouse and data model around the business questions you actually need answered, not a generic template.

03

Build

We build the pipelines, reports, and dashboards ourselves — single-client views, rolled-up views, or both.

04

Support

We stay on to evolve the platform as your client book, your questions, and your source systems change.

The ROI Case

What one dependable source of truth is actually worth

1.8 hrs/day

Time back per knowledge worker when reporting stops requiring manual searching and reconciling (McKinsey).

30–60%

Cut in process costs from automation tied to clean, standardized data pipelines (McKinsey).

We don't have a portfolio of client case studies to point to yet — Chaingent is early. What we do have is the industry data above, and direct experience building a company's first real data warehouse from scratch and taking reporting from manual to full BI — done five times across a career, most recently at BPO scale. The math is simple: every hour your team spends reconciling spreadsheets is an hour not spent on the client relationship.

Experienced Across These Platforms
Microsoft Power BI & Fabric Tableau Snowflake Databricks Google BigQuery Amazon Redshift

Don't see your platform? Chances are we've still got it — and if we don't yet, we bring in that expertise fast.

Not sure your numbers are actually right?

Tell us what's not working, and we'll tell you what we'd actually do about it.

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