AutomateNexus

Service / Analytics

The Monday report that builds itself.

The report your team spends 3 hours pulling every Monday — automated, formatted, and delivered to your inbox at 7am. We design warehouses, pipelines, and dashboards on Metabase, Power BI, Tableau, or Looker. Built once. Runs forever.

METABASE · POWER BI · SNOWFLAKE · DBT

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What it looks like running.

Not a dashboard login we control —
an instance you own.

LIVEPIPELINE VALUE$2.4MMODELS BUILT31FRESHNESS99.8%REVENUE · LAST 6 MONTHSDAILY ACTIVE · TRAILING 30 DAYS/ SELF-HOSTED · YOUR SERVER · YOUR KEYS

Data Analyticsa live dashboard on your own warehouse — refreshed automatically.

3 HRS

OF WEEKLY REPORTING ELIMINATED

100+

NATIVE DATA CONNECTORS

7AM

REPORTS IN YOUR INBOX, EVERY DAY

What you get

What's in the build

One-time fee. Documented. Owned by you.

Platform Selection & Strategy

01

We analyze your data landscape, team skills, and budget to recommend the right BI platform — Metabase, Power BI, Tableau, Qlik, or Looker. Vendor-neutral, no commissions.

Data Warehouse Architecture

02

Scalable warehouses on Snowflake, BigQuery, or Databricks that consolidate your sources into a single source of truth without data duplication.

ETL Pipeline Development

03

Automated extraction, transformation, and loading that keeps analytics fresh and consistent — eliminating manual data prep entirely.

Dashboard & Visualization Design

04

Interactive dashboards with real-time KPIs and drill-downs that non-technical stakeholders understand instantly.

Predictive Analytics

05

Machine learning models for demand forecasting, churn prediction, anomaly detection, and automated root-cause investigation.

Governance & Security

06

Row-level security, audit trails, and semantic layers that keep analytics reliable and compliant as you scale.

Use cases

Where it earns its keep

Churn Analysis

01

Behavioral pattern analysis with ML-powered predictions — know which customers are at risk before they cancel.

Sales Forecasting

02

CRM analysis with historical pattern recognition that turns pipeline data into forecasts you can actually plan against.

Inventory Optimization

03

Multi-location tracking with demand forecasting that cuts both stockouts and dead stock.

Marketing Attribution

04

Multi-touch channel-to-conversion analysis showing which spend actually produces revenue.

Financial Reporting

05

Automated close processes and variance tracking that compress days of spreadsheet work into a scheduled job.

Operations Monitoring

06

Multi-location KPIs with anomaly detection — see problems the moment they appear, not at the end of the quarter.

Five phases. Thirty days to live.

Our process →

01

Discover

Ops audit, process maps, ROI ranking.

02

Design

Architecture and tool picks — approved first.

03

Build

Constructed and tested against every edge case.

04

Launch

Deployment, training, real adoption.

05

Optimize

Monitoring, monthly reports, new wins.

Questions

Data Analytics — FAQ

Which BI platform should we use?

It depends on your data sources, team skills, and budget — and that is the first thing we work out. Metabase is the strongest self-hosted option, Power BI wins inside Microsoft shops, Tableau and Looker fit larger analytics teams. We are vendor-neutral and take no commissions.

Our data lives in a dozen disconnected tools. Is that a problem?

It is the normal starting point. We build pipelines from 100+ native connectors into a single warehouse, so every dashboard pulls from one consistent source of truth instead of twelve exports.

What does an analytics build cost?

A typical build is $7,500 one time, with ongoing costs limited to infrastructure and any model provider — usually $30 to $150 a month. Most clients break even around week 10 on eliminated reporting hours alone.

How long until we have working dashboards?

Live in 30 days for most builds — warehouse, pipelines, and the first dashboard set. We follow Discover, Design, Build, Launch, Optimize, and keep tuning against real usage after launch.

Can non-technical people actually use this?

That is the design goal. Dashboards are built for self-service with drill-downs and plain-language labels, and we can layer natural-language querying on top so your team asks questions in English, not SQL.

Where we go from here

Start with a call.

Thirty minutes, no pitch deck. We map your operations, find the friction, and show you where automation actually earns its keep. If there's no fit, we'll say so.

No subscription.

No lock-in.

No surprise invoices.

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