Data Analysis

Find the answer in the data, not another pile of numbers

Data Analysis starts with a question, not a chart. We define the decision first, then prepare and test the data, look for patterns and check whether the conclusion survives scrutiny.

Discuss a task What I analyse This service in the data journey ↗

When a separate analysis is useful

The data exists. The answer does not yet.

Many tables, no common picture

Data sits in spreadsheets, registers or systems, but the measures do not yet add up to one defensible answer.

The average hides the problem

The overall figure looks acceptable while specific groups, places or periods behave very differently.

A chart shows what happened, not why

The task is to examine factors, segments, relationships and anomalies rather than repeat the same number visually.

Scope

From raw data to a checked conclusion

I do not use a complex method simply because it is available. The method has to fit the question, data quality and the cost of being wrong.

Data preparation, normalisation and profiling.
Anomaly, missing value, duplicate and distribution analysis.
Comparison across groups, locations, periods, plan and actual.
Segmentation, trend analysis and examination of factors that change the outcome.
Statistical, financial, management and geospatial analysis where the question requires it.
Visualisation of findings with explicit data limitations.

How I work

Question first. Tool second.

Question

Define the decision to support and what a sufficient answer looks like.

Data

Collect sources and test structure, quality and comparability.

Analysis

Look for patterns, variance, segments and alternative explanations.

Validation

Test the conclusion against the data and document limitations.

Decision

Present the result in a form the team can use next.

Application areas

Where analysis produces practical value

Financial Analytics

Budget and actuals, variance, cash movement, revenue and cost structure, financial reporting logic.

Open service

Management Analytics

KPIs, trends, comparison across units or regions, delivery control and decision points.