clariBI Forecasting: backtested projections, prediction ranges and drivers
clariBI Forecasting projects a metric forward with a method chosen by backtest on your own history, shows 50, 80 and 95…
Articles on business metrics, reporting, forecasting and getting answers from the data in the tools you already use.
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clariBI Forecasting projects a metric forward with a method chosen by backtest on your own history, shows 50, 80 and 95…
clariBI runs its own MCP server at claribi.com/mcp/v1/. Connect Claude Desktop, Cursor, ChatGPT or your own agent and i…
At ten people the spreadsheet that runs the company starts to crack. Four questions decide which BI tool fits: engineer…
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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.
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.
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.
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.
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.
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.
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.
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.
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.
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.