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The clariBI blog

Articles on business metrics, reporting, forecasting and getting answers from the data in the tools you already use.

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Business Intelligence

Making decisions with data: a practical six-step framework

Most companies collect data and then decide on instinct anyway. This six-step framework shows how to use evidence on the decisions that matter, with a worked example, a guide to when to skip it, and the traps to watch for.

Jan 24, 2026 7 min read by Darek Černý
Business Intelligence

5 SaaS KPIs to track, with exact formulas

MRR, net revenue retention, CAC, LTV and gross revenue churn, each with its formula, one worked example that ties them together, and the mistakes that make the numbers look better than they are.

Jan 22, 2026 7 min read by Darek Černý
Business Intelligence

How to run a weekly business review with real data

The weekly business review is often a round of status updates where nothing gets decided. Built around a scorecard and a pre-read, it becomes the meeting where problems are found early and owners are named. Here is the agenda.

Jan 20, 2026 6 min read by Darek Černý
Business Intelligence

Self-service BI vs. traditional reporting: how to choose

Self-service BI promises answers without waiting for an analyst. Traditional reporting promises numbers everyone trusts. Most teams need some of both. Here are the trade-offs, a three-layer hybrid model, and a readiness check for small and mid-size companies.

Jan 18, 2026 5 min read by Darek Černý
Business Intelligence

Building a single source of truth: a practical playbook

When Finance, Sales and the CEO each bring a different revenue number to the same meeting, you need a single source of truth. This playbook covers the metric inventory, the definitions meeting, systems of record, official dashboards and the upkeep that keeps it working.

Jan 16, 2026 6 min read by Darek Černý
Business Intelligence

Evaluating BI tools for a 50-person company: what actually matters

At 50 people you have outgrown spreadsheets but cannot justify a data team. How to evaluate BI tools at that stage: the five criteria that matter, the real cost of ownership, the traps that waste months and a four-week trial plan.

Jan 14, 2026 7 min read by Darek Černý
Business Intelligence

Presenting data to non-technical stakeholders

Most data presentations follow the order the analysis was done in. Your audience wants the opposite: the answer, what to do, and how sure you are. Here is a structure, chart rules and phrasing that work for owners, boards and department heads.

Jan 12, 2026 5 min read by Darek Černý
Data Analytics

Cohort analysis: track how customer behavior changes over time

Totals hide what is happening underneath. Cohort analysis groups customers by when they started and follows each group separately, so you can see whether retention is getting better or worse. Here is how to build and read one.

Jan 10, 2026 8 min read by Darek Černý
Data Analytics

Customer acquisition cost: beyond the basic formula

Spend divided by new customers is a starting point, not an answer. How to calculate fully loaded and channel-level CAC, adjust for the delay between spend and sales, find marginal CAC and judge each channel by payback and customer value.

Jan 8, 2026 6 min read by Darek Černý
Data Analytics

E-commerce funnel analysis: from visit to purchase

Most visitors to an online store leave without buying. A funnel shows where. This guide covers the five stages, the formulas, a worked example with round numbers, how to segment it, and how to put a revenue figure on each possible fix so you work on the right one first.

Jan 6, 2026 6 min read by Darek Černý