Revenue
Intelligence

A short call is a great way for us to better understand your problems, your current technology stack and the outcomes you are looking for. With these small bits of information, we can give you our initial thoughts on the best approach as well as time and cost.

With just a little information, we will send you a bespoke pitch. As a general rule of thumb, the more data sources that need to be integrated, the longer and more expensive it will be. That is why we typically recommend an iterative approach. Get the most value from each source before adding more. We will break down our pitch into smaller chunks of work.

Working with 173tech is effortless; wake up, log in, and instantly tap into a full data team at your fingertips.

We deploy a full team to every project and give you direct access through weekly syncs and shared slack channel.

The people you meet are the people working directly on your project and we do not outsource any element of our work,

In the first weeks, we will have a series of meeting to help us understand your business and the project in greater detail these include:

Strategic Overview – An introduction session between your key stakeholders and our team, setting the foundation for the project. We will explore your business model, growth objectives, key terminology, pain points, and the overarching goals of the data project.

Technical Overview – A high-level review session of your current technology stack, tools, data flow, and engineering practices. We will discuss with your technical lead to understand how key systems interact and identify opportunities for optimisation.

Customer Journey – We need your team to take us through the complete customer journey from acquisition through to retention and then explain the possible touchpoints, tools, systems and teams at each stage. We want to map out all the sources needed to establish a true, definitive ‘one source of truth’.

These meeting represent the most time-consuming aspect of our work together.

After our initial calls we will have a great idea on the specific metrics you will need, how they are calculated and which data sources they should come from. With this in mind we will do a first draft of a Data Dictionary which will include both business and technical definitions for each metric, along with other relevant information.

The Data Dictionary clearly sets out how your business defines metrics and acts as a blueprint that our team will then use for the extraction, modelling and activation of data.

Our team do all the the leg work for you. We transform your raw data into metrics, going through a process of extraction and cleaning until they are ready to be surfaced as data models. All data models we create undergo a process of peer review and data reconciliation to ensure accuracy. This is a team effort with at least two people reviewing the every step of the process to ensure that everything is both performant and cost-effective to run. 

Once we have created your data models, they are then surfaced through automated reports and interactive dashboards. We go through a process of wireframing and approval to ensure each dashboard is fit for purpose but business users can also create their own drag-and-drop reporting and export the data they need with ease.

We embed best practices throughout the process and provide detailed documentation. Where necessary, we suggest processes for dashboard creation and approvals to enhance consistency, governance, and usability.

We then conduct and record a training session with your team, demonstrating how to use the reporting tool, navigate dashboards, analyse data, and address any questions you may have.

Your Team: Business Stakeholder

Your Time: Minimal

Key Outcomes: Ensuring your team can use the dashboards and troubleshoot