Our Services

Full-SpectrumData Services

From research data analysis through to enterprise dashboards, we cover the full data lifecycle: collection, cleaning, modelling, visualisation and decision support. Every engagement is led by a senior analyst, documented as it goes rather than afterwards, and built to a deadline fixed before work begins.

What We Offer

Our Core Services

Nine services covering the full route from raw collection through to board level reporting. Each description names the platforms we actually build in, because the right tool for your project depends on your licensing, your team and the question you need answered, not on what happens to be fashionable this year.

Research Data AnalysisResearch
Research

Research Data Analysis

Research data analysis support for dissertation, thesis and wider academic enquiry, structured the way a research assistant works alongside a principal investigator. We join at the design stage to help match method to hypothesis, then run the descriptive and inferential analysis, factor analysis, structural equation modelling, logistic and ordinal regression in SPSS, STATA, R, SAS, AMOS or JASP, according to the convention your discipline follows. Results return as publication ready tables with a written interpretation in APA, Harvard or your faculty house style, alongside a methods note and the syntax file behind every figure. The argument stays yours to make and defend, which is precisely why we document the reasoning rather than handing over a result on its own. The same support extends to funded research teams, institutional studies and independent researchers preparing work for peer review.

SPSSSTATARSASAMOSJASP
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Business Intelligence & DashboardsBI
BI

Business Intelligence & Dashboards

Interactive dashboards and automated reporting that connect your live data sources to visuals leadership can act on the same morning they open them. We design the KPI framework first, build a governed semantic model underneath it, then write the DAX, LookML or calculated fields that keep every number consistent across reports. Delivery covers Power BI, Tableau and Looker Studio, chosen against your licensing position and the skills already sitting inside your team. Handover includes a working session so your analysts can extend the model themselves rather than returning to us for every new measure.

Power BITableauLooker StudioDAXLookML
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Exploratory Data AnalysisEDA
EDA

Exploratory Data Analysis

A deep first pass through your data to surface the patterns, anomalies and relationships that decide how the rest of the project should run. Working in Python with Pandas, Seaborn and ydata profiling, or in R where the analysis calls for it, we profile every distribution, build correlation matrices, test for outliers and missingness, and engineer the features your later models will depend on. You receive a visual narrative that states plainly what your data supports and, just as usefully, what it cannot support. Teams routinely revise their modelling plan after this stage, which is precisely why it runs first.

PythonPandasSeabornydata-profilingR
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ETL & Data PipelinesETL
ETL

ETL & Data Pipelines

Pipelines that move data reliably from any source into your warehouse, covering REST and GraphQL APIs, production databases, scheduled flat file drops and cloud storage buckets. We build in Python and SQL, orchestrate with Airflow or Prefect, model transformations in dbt, and reach for Fivetran where a managed connector is simply the cheaper answer. On the lakehouse side we work extensively in Databricks, using Spark and Delta Lake for volumes that outgrow a conventional warehouse, with Unity Catalog governing access and lineage across the estate. Every pipeline is idempotent, version controlled and monitored, with retries, alerting and failure messages a human can read. The goal is straightforward: you should never discover that a load broke by watching an empty dashboard load in a board meeting.

PythonSQLDatabricksSparkAirflowdbtPrefectFivetran
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Data Collection & CleaningCollect & Clean
Collect & Clean

Data Collection & Cleaning

Everything between an empty form and a dataset you can trust. We design instruments in Google Forms, SurveyMonkey, KoboToolbox, Qualtrics and ODK, then set the skip logic, constraints and validation rules that stop bad values entering in the first place. Once collection closes we handle the unglamorous half of the work in Python and R: deduplication, missing value treatment, outlier review, variable recoding, label harmonisation and merging across waves or sources. You receive the clean dataset, the raw file it came from, and a written log of every transformation applied between the two.

Google FormsSurveyMonkeyKoboQualtricsODKPythonR
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Custom Reporting & AutomationReporting
Reporting

Custom Reporting & Automation

Reporting that runs itself, so your analysts stop spending the first week of every month rebuilding the same deck. We build generators in Python, R Markdown, Quarto, VBA and Power Automate that pull live figures from your systems, apply your branding, and distribute polished PDF or HTML reports to each stakeholder group on a schedule or on a trigger. Recurring commentary can be templated so the narrative writes itself and only genuine exceptions need a human. No copy and paste step exists anywhere in the chain, which is exactly why formatting drift and stale numbers stop appearing.

PythonVBAR MarkdownQuartoPower Automate
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Predictive Analytics & Machine LearningML
ML

Predictive Analytics & Machine Learning

Forecasting, classification and clustering models built for your domain rather than lifted from a tutorial. We work in scikit learn, XGBoost, TensorFlow and Prophet, and every model meets the same bar before it ships: honest validation on held out data, calibrated probabilities where a decision threshold matters, and explainability through SHAP or LIME so your team can see which features drove any given prediction. Each delivery arrives with drift monitoring and an interpretation written in business language. We do not hand over black boxes, because a model nobody understands is a model nobody acts on.

scikit-learnTensorFlowXGBoostProphetSHAP
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Data Warehousing & ModelingWarehouse
Warehouse

Data Warehousing & Modeling

Warehouse design that stays usable as your data volume and your team both grow. We build star and snowflake schemas following Kimball dimensional methodology, implemented on BigQuery, Snowflake or PostgreSQL and transformed through dbt so every model is tested and documented in one place. Lineage is mapped from source column to reported figure, access is granted by role, and slowly changing dimensions are handled deliberately rather than discovered later. What you end up with is the single source of truth your dashboards and your analysts can both point at without argument.

BigQuerySnowflakePostgreSQLKimballdbt
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Data Strategy & ConsultationStrategy
Strategy

Data Strategy & Consultation

A structured look at how your organisation actually works with data, written for leadership rather than for engineers. We run a maturity assessment across people, tooling, governance and process, benchmark the result against organisations of comparable size, and produce a tool selection matrix that weighs licensing cost against the skills you already employ. The output is a phased roadmap covering three years, with realistic budgets, sensible sequencing and a named owner for each phase. Teams use it to decide what to fund now, what to defer, and what to stop paying for entirely.

Maturity AuditsKPI DesignGovernanceRoadmapsTraining
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Platforms

The Software Behind the Work

Every service above is delivered in one or more of these environments. We are fluent across the statistical, programming and visualisation stacks, so the choice can be made on the merits of your situation. Where you already own licences we build inside them. Where you do not, we will say so before you spend anything.

SPSS

SPSS

IBM Statistics

Stata

STATA

Econometrics

SAS

SAS

Advanced Analytics

Python

ML & Automation

R

Statistical Computing

Looker Studio

Cloud Dashboards

Excel

Data Modeling

Power BI

Enterprise BI

Tableau

Visual Analytics

SQL

Database Querying

TensorFlow

Deep Learning

Jupyter

Notebooks

How We Work

Our Process

A structured, transparent workflow running from first contact to final delivery. Scope is fixed in writing before work begins, updates arrive weekly without you having to ask for them, and you will always know exactly where your project stands.

01

Discovery Call

A free thirty minute consult where we clarify the question you are actually trying to answer, review the data you already hold, and agree on scope, timeline and budget before any money changes hands.

02

Scoping & Proposal

Within 48 hours you receive a written plan setting out the methods we intend to use, the milestones we will hit, every deliverable by name, and a fixed price attached to each stage of the work.

03

Execution

We clean, analyse and visualise your data with weekly written updates and a shared workspace you can open at any time to see current progress, draft outputs, and the questions we are still working through.

04

Review & Delivery

Final files, a recorded walkthrough of the analysis, and a live handover call. Revisions are included in the agreed price, and follow up questions after delivery are always welcome.

Investment

Transparent Pricing

Flexible engagement models for researchers, startups and enterprises alike. All prices below are starting points, since final cost depends on scope, complexity and how quickly you need the work. We bill against agreed milestones, so nothing arrives on an invoice that was not in the proposal you approved.

Academic

For researchers and students who need rigorous analysis they can defend in a viva.

From $250

Per analysis project

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Academic plan includes

  • Descriptive & Inferential Stats
  • SPSS / STATA / R Output
  • Interpretation Report
  • 1 Round of Revisions
  • 7-Day Turnaround

Professional

For teams that need deeper modelling, live dashboards and a faster turnaround.

From $800

Per engagement

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Professional plan includes

  • Everything in Academic
  • Advanced Modeling (SEM, ML)
  • Interactive Dashboard
  • Unlimited Revisions (30 days)
  • Priority 48hr Turnaround

Enterprise

For organisations that need a dedicated analyst and support that continues after launch.

Custom

Monthly retainer available

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Enterprise plan includes

  • Dedicated Analyst
  • Full BI Pipeline
  • Strategy Consulting
  • Ongoing Support & Training
  • SLA-Backed Delivery