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Alpha Data Bits

Services

Data Science and Analytics

From a business question to a defensible answer, with the working shown.

Overview

Data science and analytics cover exploring data, testing hypotheses, building statistical models and communicating findings. The craft lies in asking a precise question, choosing an appropriate method and being honest about uncertainty.

Our analysts and data scientists work alongside business teams so that analysis answers the question actually being asked, and so that results are reproducible and understood.

Problems we help with

  • Reports that describe the past but do not explain it
  • Conflicting numbers from different teams
  • Analyses that cannot be reproduced when someone leaves
  • Findings that are technically correct but not decision-ready

Capabilities

Exploratory and diagnostic analysis

Segment, trend and driver analysis to understand what changed and why.

Statistical modelling

Regression, survival, Bayesian and multilevel models.

Customer and operations analytics

Segmentation, funnel, cohort and process analysis.

Experiment design

Sample-size planning, test design and analysis.

Reproducible workflows

Version-controlled code and documented data lineage.

Insight communication

Narratives and visuals tailored to the audience.

How we approach it

  1. 01

    Understand the question

    Restate the problem and agree what evidence would change a decision.

  2. 02

    Prepare the data

    Profile quality, resolve definitions and document assumptions.

  3. 03

    Analyse

    Use methods matched to the question and test robustness.

  4. 04

    Communicate

    Deliver findings, limitations and recommended next steps.

Where it is applied

  • Understanding drivers of churn or conversion
  • Measuring the effect of a policy or campaign
  • Segmenting customers or products for targeted action
  • Root-cause analysis of operational variation

Outcomes to aim for

These are goals we design towards, not guarantees.

  • A single, documented answer to a contested question
  • Reproducible analysis assets
  • Clear statements of confidence and limitation
  • Prioritised next actions

Frequently asked questions

Yes. Data preparation is usually the largest part of the work, and we are open about quality issues and their impact on conclusions.

Bring us a decision you want to improve.

Tell us about the problem and the data you have. We will reply with a candid view of where we can help.

Contact Alpha Data Bits