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Cloud & Data

Data & Analytics Services

What is Data & Analytics?

Data and analytics is the work of collecting data from the systems you already run, shaping it into one reliable model, and putting it in front of the people who make decisions — as dashboards, reports or data other systems can use.

More tools rarely fix a data problem. The usual cause is that the same figure is calculated differently in different places. Analytics earns its place when the definitions are agreed once, tested, and reused everywhere the number appears.

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One source of truthTested data modelsDashboards people use

How it works

How We Turn Data Into Decisions

Every project follows the same path from scattered sources to answers people trust.

  1. Question

    We start from the decisions the data needs to support.

  2. Collect

    Pipelines bring data in from each source system on a schedule.

  3. Model

    Raw data shaped into clear, tested models with agreed definitions.

  4. Present

    Dashboards and reports built around how each team works.

  5. Govern

    Access, ownership and quality checks kept in place over time.

What we provide

Data Services We Deliver

From a first reliable dashboard to the data platform the whole business reports from.

  • Data Pipelines

    Automated loads from your applications, databases and SaaS tools, monitored for failures.

    • Batch and incremental loads
    • SaaS and API sources
    • Failure alerts

  • Data Warehousing

    A cloud warehouse that brings every source together in one place, ready to query.

    • Warehouse design
    • Historical tracking
    • Access controls

  • Data Modelling

    Business definitions written once as tested, documented models everyone reuses.

    • dbt models
    • Data tests
    • Shared definitions

  • Dashboards & Reporting

    Dashboards designed around the decisions each team makes, not around every available chart.

    • Executive dashboards
    • Operational reports
    • Self-service analysis

Under the hood

One Definition, Used Everywhere

Trusted numbers come from models that are written down, tested and reviewed like any other code.

  • Defined once

    Each business figure has one model, so every report agrees.

  • Tested on every run

    Checks catch missing, duplicated or unexpected data before anyone sees it.

  • Traceable to source

    Any number can be followed back to the system it came from.

-- Monthly revenue per customer, completed orders onlyWITH orders AS (    SELECT * FROM {{ ref('stg_orders') }}    WHERE status = 'completed')SELECT    customer_id,    date_trunc('month', ordered_at) AS order_month,    count(order_id)                 AS order_count,    sum(amount)                     AS revenueFROM ordersGROUP BY 1, 2
dbt build passingmain · v2.1

Use cases

When Data & Analytics Pays Off

Invest where decisions are waiting on data; skip it where they are not. These are the cases where it wins.

  1. Reports that disagree

    Different teams bring different numbers for the same thing to one meeting.

  2. Reporting by spreadsheet

    Someone spends days each month exporting, pasting and reconciling data.

  3. Data spread across systems

    Sales, finance and operations data sit in tools that do not connect.

  4. Decisions waiting on analysts

    Simple questions queue for days because only a few people can answer them.

Technologies We Use

  • Airbyte
  • Airflow
  • Python
  • Snowflake
  • BigQuery
  • PostgreSQL
  • dbt
  • SQL
  • Power BI
  • Looker Studio
  • Metabase
  • PipelinesAirbyte, Airflow, Python
  • WarehouseSnowflake, BigQuery, PostgreSQL
  • Modellingdbt, SQL
  • ReportingPower BI, Looker Studio, Metabase

A modern, widely adopted data stack, chosen so any good team can maintain it after us.

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Our process

Our Data & Analytics Process

One valuable question answered first, then the platform grows one trusted source at a time.

  1. Discovery

    We agree the key questions and map where the data for them lives.

    • Metric definitions
    • Source map

  2. Foundation

    We set up the warehouse and the first pipelines from key sources.

    • Warehouse
    • Pipelines

  3. Model & Test

    We build tested models for the agreed metrics, reviewed with you.

    • Data models
    • Data tests

  4. Report & Support

    We release dashboards, train users and keep extending the model.

    • Dashboards
    • Support plan

Start here

Not sure which numbers to fix first?

Tell us the questions you struggle to answer today. We will tell you where the data lives and what a first trusted dashboard would take.

Contact Explore use cases

Why Proponent

Data Platforms Built to Be Trusted

A dashboard is only as good as the data behind it. We build data your team can check, explain and extend.

Countries Served
70+
Projects Completed
600+
Hours Support
24x7
Office Locations
5

  • Your data stays yours

    Warehouse, pipelines and models sit in your accounts from day one.

  • Tested, not assumed

    Data tests run on every load, so problems surface early.

  • Clear definitions

    Metrics documented in plain English alongside the code.

  • Access done properly

    People see the data they need, and sensitive fields stay protected.

  • Built with your teams

    Dashboards designed with the people who will use them.

  • See what a first trusted dashboard could look like.

    Walk us through the questions you need answered. We will sketch the data model and the first dashboard.

Start a project

Tell us what you are building

A few lines is enough to start. Tell us the problem, not the solution, and we will come back with the questions that shape the plan.

What happens next

  1. We read it properly

    Someone who would work on the project reads your note and comes back with questions, not a sales script.

  2. We scope it together

    One call to agree the problem, the constraints and what finished looks like — before anyone talks about price.

  3. You get a proposal

    Scope, sequence, timeline and cost, in writing, with the risks we would plan for named up front.

To learn more about how we protect your data, please refer to the Proponent privacy policy.

Next step

Your Partner For What Comes Next. Let's Start The Conversation.

Starting is the easy part. Tell us where you are and what you are trying to reach, and we will map the route — the scope, the sequence, and the risks worth planning for now rather than later. From that first conversation through build, launch and everything after, the same team stays with it.

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