Insights & resources
Practical perspectives on data science, AI, research and visualisation—written to help you move from understanding to action.
The Data Partner
Explore SI Analytics newsletter editions, read the key idea, then continue to the full article on LinkedIn.
Week 14 · Banking Analytics
A profit headline cannot explain a bank on its own. Read UBA's results across profitability, capital, asset quality, loss coverage and funding to understand signals that can move in different directions.
Explore this edition →Week 13 · How to Design a KPI Tree for Any Organization
Connect strategy to outcomes, drivers and actions before choosing dashboard metrics. This quarterly synthesis brings guardrails, ownership and review cadence into one practical KPI-tree framework.
Explore this edition →Week 12 · People and HR Analytics
Hiring activity is not the same as workforce health. Read Accenture's headcount, attrition and utilization together to distinguish capacity growth from retention and capability outcomes.
Explore this edition →Week 11 · E-commerce Analytics
GMV describes an outcome, not the behaviour behind it. Explore buyer growth, purchase frequency, category participation and conversion to explain what changed beneath Mercado Libre's marketplace growth.
Explore this edition →Week 10 · Retail Analytics
Comparable sales and total sales answer different questions. Carrefour's reporting bridge shows why store eligibility, scope and currency must be understood before interpreting retail growth.
Explore this edition →Week 9 · Revenue Analytics
A signed contract is not yet earned revenue. Use SAP's results to distinguish backlog from recognition, unpack recurring and one-time revenue, and compare reported with constant-currency growth.
Explore this edition →Week 8 · Pricing Analytics
The same ARPU definition can hide different growth engines. Explore Airtel Africa's regional results to separate price, usage, customer volume, mix and currency before interpreting performance.
Explore this edition →Week 7 · Product Analytics
Not every activation event creates durable engagement. See how product teams can separate one-time effects from sustainable usage with DAU, stickiness, experiments and guardrail metrics.
Explore this edition →Week 6 · Customer Analytics
Churn and retention are shaped by policy choices as much as customer behaviour. This edition separates voluntary and involuntary churn, reactivation and the logic behind reliable retention metrics.
Explore this edition →Week 5 · Marketing Analytics
Attribution is a policy layer, not proof of causality. Learn how to connect marketing spend, channel evidence and growth without asking a dashboard to claim more than the data supports.
Explore this edition →Week 4 · Sales Analytics
Pipeline and forecast metrics are only as reliable as their definitions. Explore what GMV reveals about stage discipline, disclosure rules and the danger of comparing labels instead of economics.
Explore this edition →Week 3 · Accounting Analytics
An “actual” is only decision-ready when the close, controls, ledger quality and audit trail can support it. This edition examines the analytics discipline behind trustworthy financial reporting.
Explore this edition →Week 2 · Financial Planning & Analytics
Strong FP&A is not only about beating a target. It is about updating the plan quickly, explaining the bridge and keeping adjusted performance distinct from reported outcomes.
Explore this edition →Week 1 · Executive Analytics
A dashboard can report real growth and still miss the guardrails leaders need. See how executive analytics connects outcomes, operating drivers and risk before a headline metric becomes a decision.
Explore this edition →Learning guide
A practical decision checklist for choosing an R or Python learning pathway based on your work, team and first project.
Read the guide →Reporting guide
Define your audience, metrics, data checks and review process before building a dashboard. A practical SI Analytics guide for reporting teams.
Read the guide →A beginner-friendly guide to learning programming fundamentals and getting started with coding.
How data analytics is transforming healthcare delivery through actionable insight.
A comprehensive guide to developing robust research protocols for health and development programmes.
Transform research ideas into compelling abstracts that get accepted.
An interview on transforming raw data into meaningful public-health intelligence.
Master the art of telling compelling stories with data to drive action.
Transform raw data into actionable insight with this practical guide.
The role of AI in programme monitoring, disease surveillance and resource optimisation.
Design dashboards that tell compelling stories and support better decisions.
Capture and communicate programme impact through evaluation and data storytelling.
Critical questions for responsible AI deployment in vulnerable communities.
How real-time data enables faster and more effective responses.
Lessons from implementing evidence-based policy in resource-constrained settings.
Dr Olugbenga Stephen Asaolu's approach to public-health analytics and research.
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