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.

Mitchel en Miranda

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.

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.

Data & Analytics voor E-commerce

E-commerce

Bitmetric helps e-commerce organizations and online stores bring together data from e-commerce platforms, marketing, CRM, ERP, fulfillment, customer service, and finance to better manage conversion, customer value, inventory, service, and profitability.

Data & Analytics voor Fashion en Modebedrijven

Fashion

Bitmetric helps fashion brands and businesses bring together data from ERP systems, wholesale, stores, e-commerce, inventory, logistics, and finance to better manage collections, sales, purchasing, and margins.

Data & Analytics voor Sierteelt en Bloemenhandel

Floriculture

Bitmetric helps growers, traders, processors, and exporters bring together data from trade, inventory, production, logistics, and finance to better manage availability, sales, and profitability.

Data & Analytics voor Assurantiekantoren en Tussenpersonen

Insurance Brokers

Bitmetric helps insurance brokers and insurance intermediaries bring together data from policy administration, Finance, and other sources. This provides control over the portfolio, revenue, workload, and claims handling.

Data & Analytics voor Media en Advertising

Media & Advertising

Bitmetric helps Media & Advertising organizations bring together data from sales, campaign, and advertising platforms. This provides control over campaign delivery, customer reporting, pipeline, revenue, and margin.

Data & Analytics voor Arbodiensten

Occupational Health Services

Bitmetric helps occupational health services analyze sickness absence, billability, contracts, and financial performance in context. This enables you to manage your operations more effectively and give clients more targeted advice on absence and prevention.

Data & Analytics voor Recreatie en Toerisme

Recreation & Tourism

Bitmetric helps holiday parks and other recreation and tourism organizations combine data from reservation systems, point-of-sale systems, access control systems, and additional sources to improve decision-making around occupancy, pricing, revenue, and operations.

Data & Analytics voor Retail en Winkelbedrijven

Retail

Bring sales, stores, products, customers, and costs together in a single analytics environment to better manage retail performance and profitability.

Data & Analytics voor Supply Chain en Logistiek

Supply Chain & Logistics

Bitmetric helps organizations bring together data from ERP, WMS, TMS, planning, quality, fulfillment, maintenance, and finance. This provides better insight into inventory, capacity, lead times, delivery reliability, and profitability.

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.

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.

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.

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.

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.

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.

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.

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

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.

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

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

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

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

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 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

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.

us

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.

We reply within one business day

+31 297 445 036

Available on weekdays between 8:00 AM and 6:00 PM (Amsterdam time)