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Data Analytics

Turn your data into decisions your team can act on.

14 · Data

Data analytics and business intelligence services

Most businesses already have the data they need — spread across spreadsheets, databases and SaaS tools. We bring it together into a reliable data model, build business intelligence dashboards that leaders actually use, and apply data science where it adds value, such as forecasting, segmentation and churn prediction.

  • Data audit, KPI definition and analytics strategy
  • Data pipelines and warehousing (ETL / ELT)
  • Business intelligence dashboards in Power BI and Looker Studio
  • Data visualisation and self-service reporting
  • Data science: forecasting, segmentation and predictive models
  • Data quality, governance and documentation
Data Analytics
Why it matters

What you get with M-CORE VISION.

One accountable team from planning to launch and beyond — with clear communication and measurable outcomes.

01

One source of truth

Everyone sees the same numbers, defined the same way.

02

Faster decisions

Dashboards update automatically, replacing hours of manual reporting.

03

Insight, not just charts

We highlight trends, risks and opportunities in plain language.

Technologies

Tools we work with.

We choose the right tools for your goals, team and budget — not the trendiest ones.

How we work

Simple, transparent, disciplined.

Every data analytics engagement follows the same proven rhythm.

Discover

Goals, users, constraints and success metrics.

Design

Plan, architecture or strategy, agreed with you.

Deliver

Short iterations with regular demos and reports.

Evolve

Measure, learn and improve after launch.

FAQ

Questions about data analytics.

Which BI tool should we use?

It depends on the tools you already use and your budget. Power BI suits Microsoft environments, Looker Studio suits Google Workspace, and Tableau suits advanced visual analytics. We recommend based on your needs.

Can you connect data from different systems?

Yes. We connect databases, spreadsheets, CRMs, accounting and marketing tools into one data model that refreshes automatically.

Do we need a data warehouse?

Not always. Smaller teams can start with direct connections; a warehouse becomes worthwhile as data volume, sources and reporting needs grow.

Related services

Often combined with.

Let's talk about data analytics.

A 30-minute call with our team is usually enough to know if we're a good fit. No pitch decks, no pressure.