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Data Visualisation

Because graphs are data’s mouthpiece. We help you analyse and understand your data by transforming it into powerful visualisations.

We make data look pretty. Pretty interesting, that is. We present data in a visually compelling and digestible form to help your stakeholders make data-driven decisions.

Standard Dashboards

Everything you need to know, at a glance. We build self-serve, automated, and interactive dashboards so that your teams can explore their analytics data more easily.

We create standard dashboards that make basic exploration and analysis of data easier.

Reports

Build a dashboard for your team to report on key metrics and performance indicators.

The dashboards we create will include insights and recommendations, and will be used to generate performance reports on a weekly or monthly basis.

Advanced Dashboards

We create unique dashboards with custom visualisation using non-standard data sources.

We can help extract data, transform it, store it and create a dashboard with custom visualisations to better bring your data to life.

Storytelling

Because everyone loves a good story. We help you uncover the tale that lies within your data.

We present data in a way you’ve never seen before. We conduct an advanced analysis and then create visualisations to support our analysis.

Process

This is the process we follow to understand your reporting requirements, explore existing data sources, design and build your dashboards and ensure success by enabling you to make business decisions based on the data.

Step 1

Discover

Understand your reporting requirements.

Step 2

Design

Design a tailor-made dashboard that answers your questions and uses your data sources.

Step 3

Develop

Create the dashboard.

Step 4

Deploy

Walkthrough and training.

The first step is to understand what your reporting requirements are. We do this by understanding what questions you need to answer, how often you ask those questions and how the answers are used. Then we explore existing data sources to define how we can answer your questions.

We enter the design phase with a full understanding of your reporting needs and available data sources. Our data visualisation experts use this information to wireframe your dashboards. Once we have agreed on your reporting architecture and dashboard design, our data engineers will add the data and build each one of your dashboards.

The final step is when we show your team how to read the dashboards and interrogate the data to gain rich business insights. Our success is measured in how well your team learns to use the dashboards to make valuable business decisions.

Want to make your data look pretty good? We’re the experts.

Get a quote

Case Studies

Using analytics to save $200,000 in media fees each month

How improving the connection between multiple critical marketing systems enabled Open Colleges to create exclusion lists and focus on targeting the right users.

What we did

Combining data from Google Analytics, Google Tag Manager, and Salesforce allowed us to create a unified view of the customer journey for Open Colleges. This was done to reduce some of the barriers between the sales and marketing teams, and potentially shorten the sales cycle, and improve marketing investment.

The impact

We were able to assist Open Colleges in achieving their goals and make a $200,000 per month saving on media fees, by implementing an analytics strategy that drove insights and helped to understand their customers better.

17-20%

Media fees saved per month

10-15%

Decrease in duplicate conversions

Analytics,
Paid

Using analytics to save $200,000 in media fees each month

Joao da Costa

Head of SEO

Coming from an agency environment myself, I was a bit dubious of any SEO company working for me as a client. Turns out that Freddy Chanut and the team at In Marketing We Trust are more than just an agency that delivers work. They are truly committed to understanding and doing the right thing for our channel and our business.

Specialist Team

Data & Analytics, Leadership, Specialist team

Benoit Olivier Weber

Head of Digital Analytics

Benoit Weber has been a part of the team at In Marketing We Trust since 2015 and as the Head…

If Google Analytics and Google Tag Manager get you excited too then Benoit could be your new best friend.

View bio

Clients

Technology Partners / Certifications

Testimonials

FAQ’s

What is data visualisation?

We use Data Visualisation techniques to help make complex data easier to understand and present. We create visually appealing charts, graphs, and other visuals to represent information in a meaningful way. This helps our clients to identify patterns, trends, and correlations in their data and make more informed decisions. We also provide interactive dashboards and reports for our clients to explore their data in more detail.

What are the best visualisation techniques to use for a particular purpose?

Visualisations come in many forms, but some of the most commonly used are bar charts, line graphs, scatter plots, heat maps, and histograms. Each type of visualisation serves a different purpose. For example, bar charts can be used to compare values between different categories, while line graphs can help to illustrate trends over time. Scatter plots are useful for showing relationships between two or more variables, and heat maps can be used to represent geographical data. Histograms can be used to show the distribution of data. Ultimately, the best visualisation to use depends on the data and the message the analyst wants to convey.

What are the most used data visualisation tools?

Tableau, Power BI, Looker Studio and Excel are some of the most popular data visualisation tools on the market.

Tableau is a powerful data visualisation tool designed to quickly and easily create and share interactive charts and graphs. It offers a variety of visualisation options, including maps, bar charts, pie charts, and more.

Microsoft Power BI is a cloud-based business analytics solution that enables users to easily create visualisations and reports. It also allows users to connect to a variety of data sources and explore data with interactive visuals.

Looker Studio is another popular data visualisation tool that helps users create data-rich visuals. It also offers a variety of features that allow users to access and explore data from multiple sources.

Microsoft Excel is the most used spreadsheet software, and it offers a wide range of features for data visualisation. It allows users to create charts, tables, graphs, and other visuals quickly and easily.

All four of these tools are powerful and offer different features and benefits for data visualisation.

How can one determine the most effective data visualisation?

Selecting the best data visualisation for your project involves considering a few key factors. First, you need to think about your audience, and what type of visualisation would be most effective for them. You also need to consider the purpose of the visualisation, so you know what type of data you will be using and what size and format it should be in. Finally, you need to think about the type of data you’re working with to determine which visualisation will be the most appropriate. By considering these factors, you’ll be able to come up with the best data visualisation for your analysis.