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Business Intelligence

Making informed decisions requires reading between the lines. And the code. We collect, analyse and present data in order to help you make better decisions.

Through the use of technologies, applications, and processes, we activate your data to enable data-driven decisions.

Data Collection

We collect and gather meaningful data from multiple data sources.

We interrogate data until we get the answers we’re looking for. We help you explore the data available to you, understand its structure, its semantics, its meaning and extract only important and relevant information.

Data Transformation

We make sure your data scrubs up well – we structure, enrich, and combine data in preparation of analysis or visualisation.

We ensure that the data you use is accurate, up-to-date and relevant, allowing you to make informed decisions.

Data Visualisation

We build visualisations that shape your data in an easy-to-understand way.

Never met a pie (chart) you didn’t love? We create custom visualisations including graphs, charts, and maps to meet the specific needs of your business.

Data Analysis

We run an in-depth analysis of your data using advanced features and solutions.

We uncover trends, patterns, and relationships that would otherwise go undetected by diving deep into your data.

Process

Our data team helps businesses make the most of their data. We follow a six-step process, from exploring data to putting insights into action. This includes getting the data ready, seeing what patterns and connections exist, and making sure the insights are used correctly.

Step 1

Explore

Understanding the data source and identifying anomalies, patterns, and opportunities/risks.

Step 2

Ingest

Ingesting the data into a warehouse and performing any required pre-processing.

Step 3

Transform

Cleaning and formatting the data for further processing.

Step 4

Visualise

Presenting the data in a manner that is easy to understand and interpret.

Step 5

Analyse

Identifying trends and correlations from the data.

Step 6

Activate

Taking action on the insights and making decisions based on them.

Our data team works to extract insights from data on behalf of your business and its customers. This is done through a six-phase process. The first phase is exploration, where we understand the data source. Through this process, we identify any anomalies or patterns in the data, as well as any potential opportunities or risks that the data may present.

The second phase is ingestion, where the data is ingested into the data warehouse and any required pre-processing steps are taken. The third phase is transformation, where we ensure that the data is in the right format and ready for further processing. This includes any data cleaning, enrichment, or feature engineering processes.

The fourth phase is visualisation, where we present the data in a manner that is easy to understand and interpret. The fifth phase is analysis, where we identify trends, correlations, and topics of interest from the data. Finally, the sixth phase is activation, where we take action on the insights discovered. This could include making decisions based on the insights, or taking action to address a trend or risk identified.

Make the most out of your data. We’ll show you how.

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Case Studies

Machine learning for internal link structure prioritises conversions for Expedia

Our objective was to deliver a tailored long-term solution to a large-scale issue of internal link errors

What we did

The specialists from In Marketing We Trust’s technical SEO team, designed a dynamic, automated solution to provide ongoing updates to the internal architecture of the Expedia site. We combined our knowledge of search engines, with expertise in data science and development to create a bespoke software solution.

The impact

We provided Expedia with a customised Web Crawler and developed a recommendation engine using some of our existing machine-learning solutions. This produced an algorithm capable of suggesting the most accurate replacement for an error page and turned a painstaking manual process into an automated one.

25%

Of unnecessary links removed

99%

Cleanliness with new architecture

Data Science,
SEO

Machine learning for internal link structure prioritises conversions for Expedia

Julien Perreard

SEO Manager

The team at In Marketing We Trust, led by the very knowledgeable Frederic, has been working with Expedia since 2014 and has helped us uncover and fix a number of on-site issues across our 18 million-page website. Their deep understanding of complex sites’ issues and pragmatic approach to enterprise SEO in an autonomous fashion helped me deliver results while allowing me to focus on some other matters. I would highly recommend his skills & the team at In Marketing We Trust to anyone looking to succeed in Digital and Search in particular.

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

Data & Analytics, Specialist team

Francis Felices

Analytics Specialist

Francis joined In Marketing We Trust in May 2022 as a Digital Analytics Specialist. He specialises in Google Analytics and…

Francis is a data craftsman obsessed with your data layer, he creates tags in his sleep.

View bio

Data & Analytics, Leadership, Specialist team

James Bardsley

Head of Data & Engineering

James has been at In Marketing We Trust for 7 years and is the Head of the Data and Engineering…

James designs products, automates solutions and is often bested by his cats.

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Data & Analytics, Specialist team

Rohit Gupta

Data Scientist

A dedicated and results-driven Data Scientist, Rohit has a strong foundation in advanced analytics, machine learning, and data visualisation. At…

Rohit is obsessed with data and the great outdoors, and analysing data while he’s exploring the great outdoors.

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Data & Analytics, Specialist team

Oleg Kolyamkin

Data Scientist

A skilled SEO analyst, Oleg is the Head of Technical SEO in Southeast Asia. He brings a wealth of experience…

If you need your data to talk, Oleg’s the man who can make it say the right things.

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Data & Analytics, Specialist team

Andrew Patterson

Senior Data and DevOps Engineer

A computer scientist with 14 years of consulting experience, Andrew's clients have spanned diverse sectors and industries, including the Australian…

Andrew will beat you in a game of trivia even as he low-key flexes his background as a computer scientist.

View bio

Clients

Technology Partners / Certifications

Testimonials

FAQ’s

What is Business Intelligence?

Business Intelligence (BI) is the process of analysing data to help inform business decisions. It involves gathering and analysing data from various sources to gain insights into customer behaviour, market trends, operational efficiency, and more. BI tools and techniques can be used to identify opportunities, forecast future performance, and make better decisions. Business Intelligence can help organisations make data-driven decisions, increase efficiency, and improve customer service.

What are the main components of Business Intelligence?

Business intelligence (BI) is a range of technologies, processes and applications used to collect, store, analyse, and present data to help make better decisions. It includes data warehouses, data marts, databases, ETL tools, OLAP cubes, data mining software, reporting and visualisation tools, dashboards, scorecards and performance management applications. Through data collection, analysis, modelling, and report generation, BI helps to identify patterns and trends and predict future behaviour.

What are the most common BI tools?

Microsoft Power BI, Tableau, Looker, and QlikView are the most commonly used BI tools. They are all powerful business intelligence (BI) tools. They each offer powerful visualisation capabilities and data analytics features to help you gain insights into your data.

While all four tools share similar features, they differ in their approach to BI. Power BI is a versatile, cloud-based platform with an intuitive user interface. Tableau focuses on data discovery and self-service analytics. Looker provides a comprehensive data platform and helps to create data-driven applications. Lastly, QlikView offers an enterprise-level BI solution with advanced interactive visualisations. Each BI tool has its own unique strengths and can be used for different business needs.

What are the main challenges when it comes to BI?

Gathering accurate data, integrating data from multiple sources, analysing the data, ensuring its security, and reporting on it are the major challenges in Business Intelligence. It is important to ensure that the data is accurate, up to date, and protected from any unauthorised access. Reporting on the data in a meaningful way is also necessary to make informed decisions.

Business Intelligence

Through the use of technologies, applications, and processes, we activate your data to enable data-driven decisions.

Data Collection

Data Transformation

Data Visualisation

Data Analysis

Process

Step 1

Explore

Step 2

Ingest

Step 3

Transform

Step 4

Visualise

Step 5

Analyse

Step 6

Activate

Case Studies

Machine learning for internal link structure prioritises conversions for Expedia

What we did

The impact

Specialist Team

Benoit Olivier Weber

Head of Digital Analytics

Francis Felices

Analytics Specialist

James Bardsley

Head of Data & Engineering

Rohit Gupta

Data Scientist

Oleg Kolyamkin

Data Scientist

Andrew Patterson

Senior Data and DevOps Engineer

Clients

Technology Partners / Certifications

Testimonials

FAQ’s

What is Business Intelligence?

What are the main components of Business Intelligence?

What are the most common BI tools?

What are the main challenges when it comes to BI?

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