Data Consulting.

Clean, Unified, Actionable Data Built for Growth.

Six & Flow’s Data Consulting services help you transform your data into a source of clarity and confidence. We align your systems, structure your data, and create the foundations for better reporting, smarter automation, and stronger revenue performance.

Request An Infrastructure Audit

Six & Flow _ Operations Hub _ Data Clean Up

The Cost of Messy Data

You can’t scale with spreadsheets, silos, and CRM clutter. Poor data doesn’t just slow teams down. It leads to bad decisions, wasted spend, and missed revenue.

We help businesses regain control. From inconsistent naming conventions to mismatched formats between systems, we uncover and correct the silent errors that make your CRM unreliable and your reporting flawed.

You can’t scale if your data is speaking ten different languages. We bring it back to one.

Six & Flow _ _Six & Flow Strategic Approach_

Our Approach to Data Consultancy

Bringing outside perspective and hands-on expertise.

We help you spot inefficiencies, unlock opportunities, and clean up the data you rely on every day.

Every engagement starts with deep discovery. Through data mapping, system audits, and categorisation exercises, we explore how your business currently collects, stores, and uses data. Then, we align on consistent definitions, identify what should stay or go, and help you clean out misaligned or irrelevant properties, so your CRM reflects the reality of your business.

The Foundation For a Scalable HubSpot Strategy

The Workshop.

Before we can optimise your systems, we need to understand your context. Our process starts with a business-alignment workshop where we gather the critical inputs needed to build a practical, high-impact data strategy. We then deliver a structured set of outcomes that give your teams clear guidance and shared visibility.

Requirements Gathering

We translate business goals into clearly defined operational needs. This includes understanding what data each team needs to track, which reports inform decision-making, how automation can eliminate inefficiencies, and how lifecycle stages should be standardised across departments. The outcome is a shared blueprint that connects the needs of your business with the structure of your systems.

CRM Process Map

Once we’ve captured the requirements, we visualise how your teams should flow through the CRM. We map out how each role interacts with the system, where data should be captured and surfaced, and how handoffs between marketing, sales, and customer success need to function. The result is a process map designed to drive consistency, support adoption, and guide the implementation of a scalable, user-friendly CRM experience.

Data Normalisation & Entity Mapping

Align your Systems. Unify your Language. Unlock Better Decisions.

When different platforms handle the same data in different ways, the result is confusion, duplication, and operational drag.

That’s where our data normalisation and entity mapping process comes in. We translate and restructure your customer, company, and deal records into a single, consistent schema, so every tool in your stack is speaking the same language.

Smarter Data with HubSpot AI & Automation

Use AI to Eliminate Errors and Speed up Data Workflows.

Manual data entry is one of the biggest culprits behind bad CRM data. Reps skip fields. Admins mistype values. No two records look the same.

We solve data inefficiency using HubSpot’s built-in AI tools and automation features. Where possible, we replace human input with automated data enrichment, cleansing, and scoring. Free-text fields become structured drop downs. Accounts are categorised automatically. Target accounts are mapped with clear visibility for reps.

Get Moving With Breeze

Create a Shared Data Layer

The Foundation of Cross-Functional Alignment.

We help you build a shared data structure that acts as a single source of truth for your business. That means clear definitions, shared logic, and a structure that supports all revenue teams.

With a shared data layer in place, reporting becomes easier, automation becomes more intelligent, and handoffs between teams stop breaking down. Everyone works from the same data, so everyone moves faster.