Data & Analytics

Collecting the right data, keeping it clean, and showing it in a way people can act on. In practice that means tracking set up correctly on your website and product, sales data that agrees across tools, and a small set of reports that arrive without someone building them by hand.

Most businesses already have numbers. The trouble is that they come from several places and do not agree. We start by finding the gaps, then fix them one by one.

Founders who cannot say which channel brings paying customers. Leadership teams that sit through meetings with three versions of the same figure. Sales teams working from a CRM full of duplicates. Product teams who want to see where users drop off.

A quick way to begin is the free online health check for the basics, or the fuller Digital Health Check for a written report on tracking, speed, search basics and email setup.

• Analytics setup with GA4, consent-aware tracking and server-side tagging. Server-side tagging sends data through your own server before it reaches analytics tools, so you control what is shared. See analytics setup.
• Business dashboards and reporting. See business dashboards.
• KPI frameworks for founders and leadership: a short list of measures, each with a clear definition and an owner.
• Data pipelines and warehousing: moving information from several systems into one central store.
• CRM and sales data cleanup.
• Product analytics: tracking the steps people take inside a product, such as signing up or placing an order.
• Operations and asset intelligence: reporting on equipment, contracts and day-to-day operations.

Data rarely stands alone. Search reports feed Search & Answer Visibility. Personal data rules connect to Trust, Security & Compliance. Clean data is also what any AI system stands on. The same team handles all of it.

We use The Path. In Listen we list the decisions you make and the questions you cannot answer today. In Shape we agree what each term means: what counts as a lead, a customer, a repeat order. Build puts the tracking, pipelines and dashboards in short sprints, so you see real numbers early. Launch checks that the figures match the source systems. Evolve keeps them honest as the business changes.

Every important number is checked against its source before a dashboard goes live. If two sources disagree, we explain why and agree with you which one wins.

The TechSum Standard applies to every data project:

• Secure by default: tracking waits for consent where it is required, personal data is kept to what you need, and access to reports follows roles.
• Built to scale: definitions, pipelines and dashboards built so a new tool or channel slots in without rebuilding the reports.
• Tested before it ships: every important number checked against its source before anyone decides with it.
• Looked after after launch: tracking is watched, so a site change that breaks a tag is caught early.
• Small changes handled, not invoiced: a new filter, a renamed field or one more chart for the weekly meeting gets done. It does not become a quote.
• Honest advice, even when it means less work for us: if you have too little data for dashboards to help yet, we say so and set up the basics instead.

You can answer a few plain questions without calling a meeting. Which channel brings the best customers? How long does a lead take to convert? Which feature do people use? The numbers match what finance sees. The dashboard loads quickly and nobody refreshes it by hand.

Visitors are respected too. Tracking runs only after consent where it is required, and you can say what you collect and why.

If you have very little traffic or data, heavy dashboards will not help yet. A simple setup and one clear question will, and we will say so. We also cannot promise a business result from the numbers. We make sure they are correct. What you do with them is your call.

To begin, tell us what you need.