Datagedreven Field Service Management krijgt een steeds belangrijkere rol binnen serviceorganisaties. Waar de focus traditioneel vooral lag op het plannen van monteurs, verwerken van werkorders en registreren van onderhoud, wordt data steeds belangrijker om sneller en beter te bepalen wat er nodig is.
Serviceorganisaties beschikken over steeds meer informatie over hun equipment. Denk aan storingen, onderhoud, reparaties, gebruikte onderdelen, meterstanden, servicecontracten en eerdere werkorders.
Wanneer deze informatie goed wordt vastgelegd en met elkaar verbonden is, ontstaat een waardevolle basis voor slimmere service.
Hoe slimmer serviceprocessen worden, hoe belangrijker de kwaliteit van de data eronder wordt. Zonder complete equipment- en servicehistorie heeft zelfs de slimste technologie te weinig context om goede beslissingen te ondersteunen.
What is data-driven Field Service Management?
Data-driven Field Service Management means that service decisions are based not only on the current service request or an employee’s experience, but also on available historical and operational data.
When a new service issue is reported, for example, the customer’s description is only one part of the picture. Previous repairs, recurring issues, parts used, equipment configuration, and maintenance history can all provide valuable context.
By bringing this information together, service teams gain a more complete view of the situation. That context makes it possible to support employees more effectively and continuously improve service processes.
The equipment as the central information point
Throughout the lifecycle of a machine or other piece of equipment, new information is continuously generated.
A machine may be sold, rented, or leased. Over time, maintenance is carried out, parts are replaced, service issues are reported, and work orders are completed. Service contracts may also be linked to the equipment, while usage data and meter readings are recorded.
When this information is spread across different systems, documents, or individual employees, part of that knowledge becomes difficult to access.
A service technician may be able to see the current work order, but not immediately which issues have occurred before with the same equipment. A planner may know which technician is available, but have less insight into which technical expertise is most relevant for a specific issue.
That is why a central equipment view is becoming increasingly important. A new service request no longer stands on its own, but becomes part of the complete history of the equipment.
Why is service history so valuable?
A complete service history makes it possible to reuse knowledge and experience from previous service cases.
Suppose a new service request is received for a machine with a specific issue. When sufficient historical data is available, the service organization can check whether the same problem has occurred before.
This does not have to be limited to that specific machine. Similar issues may also have occurred with comparable equipment.
Dan ontstaan vragen als:
- What work was carried out previously?
- Which parts were used?
- Which solution proved successful?
- How often has the same issue occurred before?
- Was another service request reported after the repair?
- Which technician or type of technical expertise was involved?
Hoe beter deze informatie beschikbaar is, hoe sneller een serviceorganisatie van een melding naar een goed onderbouwde vervolgstap kan gaan. een serviceorganisatie van een melding naar een goed onderbouwde vervolgstap kan gaan.
A lot of data does not automatically mean good data
Collecting large amounts of service data is not enough in itself.
Ultimately, the quality of the data determines how much value an organization can get from it.
If service issues are described differently each time, work is not recorded consistently, or information about used parts is missing from the service history, it becomes much more difficult to identify patterns.
Data quality therefore becomes an important part of Field Service Management.
It is not just about how much data an organization collects, but whether that data is:
- complete;
- reliable;
- recorded consistently;
- linked to the correct equipment;
- accessible to other processes and applications.
The stronger this foundation is, the greater the opportunities to support service employees more effectively.
From searching for information to having it provided
Many service organizations already have access to valuable information. The challenge is that employees often still have to find that information themselves.
A service employee searches through previous work orders. A technician reviews earlier reports. A planner asks an experienced colleague whether a particular issue sounds familiar.
With well-structured equipment and service data, that process can change.
When a new service request comes in, relevant information can be made available immediately. This may include similar incidents from the past, previous solutions, or parts that were used in comparable repairs.
Based on that information, systems can increasingly support employees by helping answer questions such as:
What is likely to be happening here? Which solution worked before? Which parts may be needed? What is the most logical next step?
In this way, technology shifts from simply recording service activities to actively supporting the service process.
Data forms the basis for further automation
Automatisering en intelligentere ondersteuning beginnen niet bij de technologie zelf.
They start with context.
When a system has access to reliable information about equipment, service history, parts, completed work, and previous solutions, many more opportunities become possible.
For example, a system can help identify recurring issues, find relevant past cases, suggest likely parts, or prepare information for a new work order.
Ook andere scenario’s zijn denkbaar. Denk aan het herkennen van afwijkende onderhoudspatronen, ondersteunen van de planning of het beter beschikbaar maken van technische kennis voor servicemonteurs.
The technology used to support these processes may change over time. The underlying requirement remains the same: without high-quality data, intelligent support will always be limited.
WHY INTEGRATED EQUIPMENT DATA IS BECOMING INCREASINGLY IMPORTANT
For equipment companies, service is only one part of the overall process.
Throughout the equipment lifecycle, data is generated across sales, rental, lease, service, maintenance, parts management, contracts, and financial processes.
When this data is connected, organizations gain a much broader view than they would by looking at individual service work orders alone.
A recurring issue, for example, may not only be technically relevant. It can also affect maintenance costs, equipment availability, and the total cost over the equipment’s lifecycle.
Daarmee wordt datagedreven Field Service Management onderdeel van een breder Equipment Life Cycle-proces.
Niet alleen de vraag:
“Hoe lossen we deze storing op?”
is belangrijk, maar uiteindelijk ook:
“What do we know about this equipment, and how can we use that knowledge to make better decisions?”
Datagedreven service als volgende stap in Field Service Management
Goede data staat niet op zichzelf. Ze ontstaat doordat service, equipment, onderhoud, onderdelen en andere processen met elkaar verbonden zijn.
Daarom is datagedreven service een volgende stap binnen een breder Field Service Management-proces.
Wilt u meer weten over hoe planning, service, equipment, onderdelen en administratie daarin samenkomen? Lees dan ook onze hoofdpagina Field Service Management voor equipmentbedrijven: van werkorder naar geïntegreerde service.
SMARTER SERVICE STARTS WITH A STRONG DATA FOUNDATION
Developments in AI and automation often focus on what new technology can do.
Voor serviceorganisaties zijn andere vragen minstens zo belangrijk.
Is bekend wat er eerder met het equipment is gebeurd? Zijn werkzaamheden goed geregistreerd? Is duidelijk welke onderdelen zijn gebruikt? Kunnen vergelijkbare situaties worden gevonden? En zijn gegevens uit verschillende processen met elkaar verbonden?
When the answer to these questions is yes, a strong foundation is created for increasingly intelligent support
TOMORROW’S FIELD SERVICE MANAGEMENT STARTS WITH TODAY’S DATA
Field Service Management zal zich verder ontwikkelen. Monteurs, planners en servicemedewerkers kunnen steeds beter worden ondersteund bij het vinden van informatie, herkennen van patronen en voorbereiden van acties.
Organisaties die daar echt waarde uit willen halen, moeten vandaag al nadenken over de kwaliteit en samenhang van hun data.
The Equipment Life Cycle (ELC) , equipment is central to the different business processes.
Dysel ELC is built on Microsoft Dynamics 365 Business Central and connects with the Microsoft Power Platform. Daardoor kan informatie uit service, onderhoud, onderdelen, verhuur, lease en andere processen rondom hetzelfde equipment worden opgebouwd.
Dat zorgt niet alleen voor inzicht in het verleden, maar vormt ook de basis om serviceprocessen in de toekomst slimmer te ondersteunen.
Meer weten over hoe Dysel ELC, Dysel Field Service en Equipment Management binnen één geïntegreerde omgeving ondersteunt? Contact Dysel to arrange an introductory meeting.
Frequently Asked Questions About Equipment Life Cycle Software
What Is Equipment Life Cycle Software?
Equipment Life Cycle software helps organizations manage equipment throughout its full useful life. It brings together information from sales, rental, lease, service, maintenance, parts, contracts and finance around the same equipment.
What Is the Difference Between Equipment Management and Equipment Life Cycle Management?
Equipment Management focuses on managing equipment and its current data and status. Equipment Life Cycle Management takes a broader view of everything that happens to equipment throughout its useful life, including deployment, service, maintenance, contracts, costs, revenue and its eventual sale or replacement.
Which Processes Are Part of the Equipment Life Cycle?
Depending on the organization, the Equipment Life Cycle may include purchase, sales, rental, lease, service, maintenance, inspections, parts management, contract management, invoicing, reporting, and the eventual sale or replacement of equipment.
Why Is the Equipment Life Cycle Central to Dysel ELC?
In Dysel ELC, equipment remains central throughout its full life cycle. Sales, rental, lease, service, maintenance, parts, contracts and finance are connected around the same equipment. This creates one coherent view of its current status, history, costs, revenue and next steps.
Which Companies Benefit from Equipment Life Cycle Software?
Equipment Life Cycle software is relevant to organizations where machines, vehicles, installations or other individually managed equipment are central and are sold, rented, leased, maintained, repaired or redeployed during their useful life.