Data & Analytics for your industry

Every industry has its own processes, data sources and decisions. A good data environment reflects that. Not just technically, but also in terms of the business: from absence and policy management to inventory, campaign performance, occupancy and delivery reliability.

Bitmetric helps organisations bring data from different systems together and make it useful for day-to-day management, analysis and decision-making. With solutions that fit the way your industry actually works.

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Same technology, different realities

Power BI, Qlik, Microsoft Fabric and TimeXtender can be used in almost any industry. The technology may be similar. The information needs are not.

An occupational health provider focuses on absence, employability and lead times. An insurance intermediary needs to connect policy, customer and claims data. In e-commerce, the focus may be on conversion, inventory, fulfilment and returns. In floriculture, price, quality and availability can change throughout the day.

That is why we do not start with the dashboard or the tool. We first look at the processes, definitions and decisions that matter within your industry. From there, we determine which data, models and applications are needed.

Experience across different industries

We have built Data & Analytics solutions for organisations across a wide range of industries. On this page, we highlight several areas where we have extensive experience and regularly encounter recognisable challenges.

Is your industry not listed? That does not mean we are unfamiliar with it. We have also worked for banks, insurers, municipalities, NGOs, professional associations, television companies and manufacturers of consumer goods, among others.

Explore the industries below to see which processes, data sources and applications are often most relevant.

Communications

Understanding and accurately responding to the demands of viewers, subscribers, and advertisers are vital to any media company. At the same time optimizing customer acquisition, retention programs and advertising are a driving force to building innovative data solutions while managing ever evolving privacy regulations. Let us show you how to uncover more insights and accelerate your initiatives.

Consumer Products

Data analysis is quickly becoming a staple within the consumer product industry. Whether it is providing the merchandising department with realtime information, optimizing collection development or sales forecasting, Bitmetric is able to provide the optimal dashboarding and tools. We help you gain valuable insights in all aspects of your company. Optimize stock turn and sell through, limit overdevelopment, manage early buys or production limits. With our in-dept knowledge we help you cater to any department.

Financial Services

Bitmetric delivers advanced, data-driven solutions across the financial services sector, enhancing customer insights, optimizing operations, and ensuring compliance. Discover how we help drive innovation and growth in finance.

Healthcare 

Aside from general insights into facility management, staffing or financial planning, many of the challenges that face healthcare come from stakeholder collaboration and interoperability. Increasing staff and patient confidence in the use of health care data while proactively protecting privacy and upholding the standards. Whichever aspects you need assistance with on your data journey, we’ve got the experience and professionals to match.

Logistics

Empower decisions with real-time analytics on WMS, TMS and other systems, both internal and external. Improve operational efficiency by monitoring customer demand, the quality of operational processes and digitizing crucial operations. It’s a continuous learning process that we can help you facilitate.

Retail & E-Commerce

The role of the retail store is changing. While still the primary sales channel, stores are transforming into customer engagement centers and critical supply chain hubs. Whether you need insights directly on the retail floor, surface actionable metrics at scale, deliver omni-channel analytics or optimize inventory from supply chain to shelf, we help achieve the level that you require.

Why industry knowledge matters

A technically sound data environment is not automatically a useful one. The real value comes from understanding the processes, definitions and exceptions behind the data.

Getting the definitions right

Revenue, active customer, available inventory, absence duration or delivery reliability may sound straightforward. In practice, several definitions often exist side by side. We help make those differences explicit and establish clear definitions.

Connecting data in context

It is not just about technically connecting systems. Order lines need to align with inventory movements, policies with claims, bookings with stays, and campaigns with revenue and reach.

Accounting for exceptions

Every industry has processes that do not fit neatly into a standard model. Returns, partial shipments, return-to-work notifications, cancellations and quality holds are often exactly where additional insight is needed.

Making information actionable

A dashboard is only useful if someone can act on it in time. That is why we also look at data freshness, alerts, planning, forecasting and clear responsibilities.

Different industries, familiar data challenges

The processes may differ, but beneath the surface the same challenges often come back.

  • Data is spread across operational, commercial and financial systems.
  • Definitions differ between departments, reports and dashboards.
  • Manual Excel reports have grown faster than the formal data environment around them.
  • Reporting mainly shows what has already happened, but does not yet provide enough support for what needs to happen next.
  • The existing Qlik or Power BI environment has become difficult to extend, manage or keep reliable.
  • A migration is being considered, while it is not yet clear what can be retained and what needs to be redesigned.

By combining industry knowledge with experience in data architecture, modelling and reporting, we can get to the heart of the problem faster. Not by copying standard solutions, but by applying familiar patterns to your specific situation.

How Bitmetric helps

We combine industry knowledge with experience in data architecture, modelling, reporting and support. We look not only at what needs to be built, but also at what is already useful and where the greatest improvements can be made.

1. Understand the question and context

We map out processes, terminology, users and decisions. This makes it clear which information is needed and where definitions or responsibilities are still ambiguous.

2. Build a reliable data foundation

We connect operational, commercial and financial sources and make sure the data fits together logically. Using an appropriate data architecture, we build a reliable foundation for reporting and analysis.

3. Make information useful in practice

We develop dashboards, reports and analyses that support day-to-day work and management decisions.

4. Build on what is already there

We can improve, extend, migrate or support an existing environment. Using Qlik, Power BI, Microsoft Fabric, TimeXtender and other platforms that fit the situation.

Practical experience across different industries

We work with organisations that have very different processes, systems and information needs. From commercial environments with high transaction volumes to organisations where planning, service delivery or operational reliability is central.

In these projects, we combine technical expertise with a deeper understanding of the business context. Our work includes data platforms, dashboards, reporting, analysis, migrations and support, always with attention to how the solution needs to work in day-to-day practice.

Topgeschenken customer case

Topgeschenken

For Topgeschenken, we brought commercial, operational and financial information together in an environment that provides better support for managing sales, assortment and performance.

View the customer case
Nature's Pride customer case

Nature’s Pride

In an international fresh produce supply chain, information needs revolve around inventory, quality, availability and logistics movements. This is where commercial and operational data challenges directly come together.

View the customer case
Medux customer case

Medux

Medux uses data to organise the delivery of mobility and healthcare equipment more effectively. By bringing data from across the organisation together, it gained better insight into revenue, orders, maintenance and performance.

View the customer case

Frequently asked questions

No. This overview highlights a selection of industries where we have documented our experience and approach in more detail. We have also built solutions for banks, insurers, municipalities, NGOs, professional associations, television companies and manufacturers of consumer goods, among others.

Even if your industry is not listed, there is a good chance that we can bring relevant experience to the table.

Where it makes sense, we reuse knowledge, KPIs, models and approaches from previous projects. We do not, however, provide a standard dashboard that can be applied to every organisation without modification. Processes, definitions, exceptions and system configurations differ too much for that.

Industry knowledge helps us ask the right questions sooner, recognise important definitions and account for exceptions. The technology may be similar, but a policy, booking, absence case, campaign or inventory position requires a different understanding of the underlying business.

That is actually a very common starting point. We first identify which sources are available, how the data relates and where definitions differ. From there, we determine which information can be brought together reliably.

Yes. Perfectly clean data is rarely the starting point. We first investigate which data quality issues have the greatest impact on reporting and decision-making. We then determine what needs to be resolved upfront and what can be improved during development.

Yes. We start with what is already there and assess what is useful, where the limitations are and which improvements make sense. Replacement or migration is not the default assumption.

You can read more about our way of working and how we structure projects on our Data & Analytics Consultancy page.

No. We can start with the processes, decisions and challenges that need better support. From there, we determine which information, architecture, setup and technology are appropriate.

No. A clearly defined challenge or an initial use case can be a sensible place to start. This allows us to validate the information requirements, available data and chosen approach before larger investments are made.

Our Data & Analytics Consultancy page explains our approach, how we structure projects and the different ways we can work together.

Whether something's still unclear or you're ready to take the next step, Barry and Eric are happy to talk it through. Email us, call us, or book a meeting at a time that works for you.

How can we help?

Whether something’s still unclear or you’re ready to take the next step, Barry and Eric are happy to talk it through. Email us, call us, or book a meeting at a time that works for you.