Data & Analytics

Transform raw data into decisions that drive measurable growth.

As a data analytics agency, we build executive dashboards, data warehouses, predictive models, and the full data stack modern businesses need to compete on intelligence.

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What you receive

Our data analytics agency connects source systems, agrees the definitions behind your KPIs, and builds reporting your team can use to make decisions. Projects can include a Power BI, Tableau, Looker or Looker Studio dashboard, data pipelines, a reporting data model, or a predictive model.

A source-system inventory and agreed KPI definitions
Data transformations and a reporting model suited to your systems
Dashboards with documented calculations and refresh requirements
Validation against source records and a handover for your team

A useful starting scope is one business question, the systems needed to answer it, and the people who will use the output. Dashboard work and a full data-platform build have different dependencies; we define access, refresh needs and acceptance criteria before implementation.

Our predictive lead-scoring engagement used source, behavior, geography, service category and historical conversion data to help a service business prioritize sales effort. Read the engagement summary.

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Services within Data & Analytics

Dashboards & Reporting

See everything that matters. Act on it immediately.

Data Science & Predictive Modeling

Advanced analytics that reveal what your data is really saying.

Data Architecture & APIs

Build the data foundation your business will grow on.

Data Analysis & Pattern Detection

Find the signal in your data noise.

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Book a free consultation to discuss your needs. No commitment required.

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How we deliver data & analytics

Scope, measurement, implementation and handover, agreed around your business needs.

Agree on the decision and the measures

Choose the questions the reporting must answer, who owns each KPI, and how the output will be used. Document definitions before building charts.

Inspect the source systems

Review exports, APIs, CRM stages and existing reports. Identify missing identifiers, inconsistent records and access requirements that affect the scope.

Build the data model and refresh workflow

Connect the agreed sources and organize the transformations needed for reporting. Define how records join, how often data refreshes and who owns the pipeline.

Validate the dashboard or model

Reconcile calculations with source records and walk through real business questions with the people who will use the output. Resolve discrepancies before handover.

Document and support the handover

Explain metric definitions, refresh dependencies and maintenance responsibilities. Agree on support and any next phase separately from the initial delivery.

Frequently asked questions

What data analytics services does Render Analytics offer?

We offer the full data analytics stack: dashboards and reporting, data science and predictive modeling, data architecture and APIs, and data analysis and pattern detection.

What BI tools do you work with?

We work with Tableau, Power BI, Looker, Google Looker Studio, Metabase, and custom-built dashboards. We recommend the right tool based on your team's needs and budget.

How long does it take to build a data analytics solution?

Simple dashboard projects can be completed in 2–4 weeks. Full data warehouse and analytics platform builds typically take 6–12 weeks depending on complexity and data volume.

Do I need a data engineer or data scientist?

Not necessarily. We provide both capabilities as a service, so you get the expertise you need without the overhead of full-time hires.