Data analytics services your managers actually use One definition per number, and reports built around the decisions your teams make

A data strategy starts with the decisions your business makes, not with the tools. We sit with the people who run sales, operations and finance, write down the questions they ask every week, and agree who owns each number.

You end with a short list of measures, one definition for each, and the order to build them in. Most companies find that a handful of numbers drive most of their decisions.

Reports are only as good as the data under them. We connect the systems that hold your numbers, such as the ERP, the CRM, billing and the spreadsheets people keep on the side, into one model in Azure, AWS, Google Cloud, Snowflake or Databricks.

We set rules for quality and ownership, so a figure means the same thing in every report.

• One model for the measures that matter
• Data quality checks that run every day
• Access set by role, so each manager sees their own region

We build dashboards in Power BI, Tableau, Looker or the tool you already run. Each one answers the questions of one team and shows only what that team acts on.

We retire the reports nobody opens, so the ones that remain are the ones people trust.

Once the numbers are trusted, forecasts and alerts become useful. We add demand forecasts, churn and risk scores, and anomaly alerts where they change a decision, and we show how each one was worked out.

Many companies still report from an old warehouse or a set of linked spreadsheets. We move the models and reports to a modern platform one subject at a time, and keep the old figures running side by side until they match.

After launch, we can run the pipelines and reports for you: monitoring the data every day, fixing breaks before managers notice, and adding the next report when a team asks for it.

Data analytics consulting helps a company decide which numbers matter, get its data into shape, and build the reports and models that answer its questions. A consultant starts from the decisions the business makes and works back to the data.

A data analytics company connects your data sources, models the data, builds dashboards and forecasts, and often runs them for you afterwards. Damco does all of these, and ties every figure back to finance before it ships.

Without them, teams argue about whose number is right and decisions wait for spreadsheets. With one definition per number and reports built for each decision, managers act on the same facts the same week.

It depends on how many sources you connect and how many reports you need. We start with a short assessment, then quote a fixed price for the first build, or a monthly fee for a team or a managed service.

Power BI, Tableau, Looker and Qlik for reports, and Azure, AWS, Google Cloud, Snowflake and Databricks for the data underneath. We usually build on the tools you already pay for.