Our data science specialists use the power of data to help our clients understand how their technology is performing, how their users are behaving, and what can be done to maximise the potential of their digital product.
What is data science?
Data science uses various techniques, algorithms, processes, and systems to extract knowledge and insights from your data. It combines aspects of statistics, mathematics, programming, and domain expertise to uncover patterns, trends, and meaningful, useful insights from vast amounts of data. These insights can be related to customer behaviour, market trends, operational efficiency and more.
How can data science benefit your business?
Implementing data science and analytics into your products helps you to start making more informed, strategic decisions, as well as optimising your processes and systems. Using data science to understand user behaviour and preferences can allow you to implement more personalised user experiences and overall improve the way your users interact with your digital products.
Leveraging data science also gives your business a competitive edge by staying ahead of market trends, adapting to changing customer preferences, and making data-driven strategies that outperform competitors.
Our core services
Our team of data experts have many years of experience of interrogating data and have the skills to deliver insight that will allow you to make data driven decisions. Whether it is ad-hoc queries, building reusable analytics for monitoring KPIs & key user journeys, or doing deep dives into your data to help you discover the unknown unknowns, we are here to help.
Data & Analytics Audits
Data may have been described as “the new oil”, but it’s only valuable if it’s relevant and can be used to help influence business decisions. Our team of experts can perform an analytics audit on your product to determine if you're getting the right insights from your current setup. We can also perform a data audit that maps out all of the data you collect, the pipelines that process this data, how your data is currently being used, and whether you are GDPR compliant. Once this is done we will highlight any issues we have noticed such as data silos or data that is not currently being utilised and come up with a plan to help take your strategy to the next level.
We provide rich, interactive data visualisations from multiple sources, customised for your specific needs. With tailored dashboards, we ensure that KPIs and insights are always available at your fingertips.
Optimisation and Conversion
Data findings and learnings can consistently be used to drive decision making, empowering us to effectively increase conversion rates and reduce churn through continued optimisation.
Too much data can quickly become debilitating. Apadmi's ethos of always moving forward means we keep our data science approach as simple as possible. We use data to better understand user behaviour and make more informed decisions about how to continuously improve the products we build.
Apadmi can make your data more manageable and use it to make your digital product more effective. We do that through a range of powerful data analytics tools and data services that are tailored to your business needs.
Harnessing data to tackle Chelsea’s marketing inefficiencies
The marketing team at Chelsea FC collect data on website analytics, paid media, email marketing and more. But this data was disconnected between different platforms, each with its own login and dashboards - meaning the team couldn’t compare data from different sources. This made it impossible to run the targeted campaigns they were planning.
Apadmi created a data warehouse that combined data from mobile app, website, email marketing and paid media ads into one place, so the marketing team could get the whole picture. That meant they could specifically target ads or content to the right audience based on what they’d already interacted with. Now, Chelsea FC can run campaigns targeting any type of user. What’s more, the cost of their data warehouse has been substantially reduced, meaning the project paid for itself within 6 months - a great example of how data science can effectively tackle operational inefficiencies.
We really wanted to challenge ourselves with how we present the content and data coming off the boats and show it in a way that truly enhances the fan experience
Russel Couts CEO, SailGP