Now Accepting Q3 2026 Projects

Turn Raw Data IntoDecisive Insights

We help researchers, startups and enterprises turn complex datasets into clear, actionable intelligence, covering everything from research data analysis through to enterprise BI dashboards. Every engagement is led by a senior analyst, delivered against a deadline agreed in writing, and built on methodology you can defend in front of anyone who asks.

0+
Projects Delivered
0%
Client Satisfaction
0+
Tools Mastered
0hr
Avg. Turnaround
Analyst reviewing holographic data dashboards on a laptop
Who We Are

Data analytics built for real decisions

We are data scientists, statisticians and BI engineers who keep analysis rigorous, reproducible and straightforward to act on. The same standard applies to a doctoral candidate defending a thesis and to an operations director presenting numbers upstairs, because in both rooms the first serious question is always how the figure was produced.

That means the method comes before the chart. We document the test we chose and the assumptions we checked, keep every cleaning step in a version controlled script rather than in a spreadsheet nobody can audit, and hand over the working files alongside the finished output so the analysis stays yours after we leave.

From a base in Nairobi we serve clients across East Africa, Europe and the United States, with full documentation on every dataset and response times measured in hours rather than days.

More About Us
What We Do

Core Capabilities

Data services covering the whole route from raw collection through to polished reporting, with every step handled by an analyst who can explain the reasoning behind it. Explore the three below, or see the full set of nine services with the platforms we build them in.

Research Data Analysis
Research

Research Data Analysis

SPSSSTATARSAS

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.

Business Intelligence & Dashboards
BI

Business Intelligence & Dashboards

Power BITableauLooker StudioDAX

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.

Exploratory Data Analysis
EDA

Exploratory Data Analysis

PythonPandasSeabornydata-profiling

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.

Sector Practice

Data4Energy Impacts

Our dedicated energy practice builds the pipelines, asset management systems and analytics that let utilities, independent power producers and large consumers act on measured evidence rather than on estimates. It covers energy management systems, metering and consumption data pipelines, efficiency analytics, compliance reporting and consultancy for the wider energy sector, along with the same management system engineering applied outside energy.

Explore Data4Energy Impacts →
Client Stories

Trusted by Researchers & Enterprises

Over the past five years we have delivered for PhD candidates defending in three time zones, operations teams making million dollar calls, and startups closing their first funding rounds. Here is what a few of them had to say about the experience.

Amina K.
James M.
Wanjiku N.
Sofia L.
David O.

Amina K.

PhD Candidate, University of Nairobi

They turned my messy survey data into a beautifully structured SPSS analysis. My supervisor was impressed by the depth of the regression diagnostics.