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Business area digitalisation analysis

Digitalisation of real estate management and administration

How to connect the asset register, client requests, contractors, maintenance, costs and portfolio analytics

Digital maturity

Typical digital maturity

Shows the level of technological and process digitalisation at which companies in the sector or business area typically operate today.

A typical market situation is assessed, not the most advanced companies.

The assessment consists of five equally weighted dimensions:

Core system usage
Whether ERP, CRM, WMS, MES, customer portals or other operationally important systems are widespread in companies.
Process digitalisation
How many core processes run in systems and how many are still managed manually.
Systems integration
Whether core systems exchange data between themselves or whether employees transfer information manually.
Data quality and readiness
Whether core data is structured, up-to-date, consistent and suitable for automation and analytics.
Advanced data use
Whether real-time analytics, forecasting, automated alerts, optimisation models or AI are used.

The final score is the average of the five dimensions.

1–5 scale

  • 1 very low maturity
  • 2 low maturity
  • 3 medium maturity
  • 4 high maturity
  • 5 very high maturity

A low maturity score does not necessarily indicate low potential. On the contrary, low maturity and a high level of manual work may indicate significant untapped digitalisation value.

average
Skaitmenizacijos potencialas

Digitalisation potential

Shows how much significant business value a typical sector or business area company can create by systematically digitalising core processes.

The rating is calculated on a 100-point scale across five dimensions:

Process frequency and scale 20 %
An assessment of how frequently the digitalised processes recur and what proportion of operations they represent.
Manual work intensity 20 %
An assessment of the extent to which processes depend on email, telephone, Excel, paper documents and repeated data entry.
Impact on revenue and costs 25 %
An assessment of the potential effect on sales, margin, customer retention, administrative costs, errors, downtime or inventory.
Growth and scale potential 20 %
An assessment of whether digitalisation would enable operational capacity to be increased without expanding headcount and costs at the same rate.
Impact on decisions and risk 15 %
An assessment of the potential effect on data reliability, decision-making speed, customer experience, and the reduction of errors and operational risk.

The final score is calculated according to the assessments and weights of all dimensions.

100-point scale

  • 0–20 very low potential
  • 21–40 low potential
  • 41–60 moderate potential
  • 61–80 high potential
  • 81–100 very high potential

A high score does not mean the solution will be easy to implement. It indicates the size of the potential value, not the implementation complexity.

80/100
Biggest challenge
Critical data is missing from the asset register
Biggest opportunity
Unified platform for asset, service and contractor management

In this business area, the greatest value will be created by a unified asset, service and contractor management platform. It is recommended to start with a clearly defined first process and expand the solution in stages.

Real estate management and administration operating model

The asset manager coordinates client enquiries, internal teams, contractors, maintenance work, costs and reports across multiple properties on a daily basis. A consistent model of property, equipment, service and work enables these processes to be compared at portfolio level.

High volume of recurring enquiries

Faults, requests, inspections and service requirements are logged daily.

Multiple external contractors

Service quality depends on the linkage between task assignment, proof of completion, SLA and invoice.

Costs must be allocated to property

Work, utilities and overhead costs must be attributed to a specific asset or client.

Portfolio comparability is strategic value

Consistent KPIs enable identification of the most expensive properties, the worst-performing systems and investment priorities.

Market and technology context

The property management market is under increasing pressure to manage requests, contractors, costs and asset condition uniformly across the portfolio. Self-service, CAFM and CMMS create value only when their statuses are based on the same property, job and contract data foundation.

  • Pressure for administrative efficiencyLarger portfolios need to be managed without a proportional increase in administration.
  • Customer self-service expectationsUsers expect to submit a request, view status, documents and invoices in one place.
  • Contractor quality transparencyOwners want to see not only invoices, but also actual SLA, job quality and repeat failures.
  • Data-driven investmentAsset condition, cost and failure history becomes the foundation for renovation and capital plans.

Typical operating chain

01

Asset and contract register

Managed properties, premises, assets, documents, service contracts and responsibilities.

02

Client or user request

The need is registered, classified, prioritised and linked to the property.

03

Work assignment

The task is assigned to the internal team or contractor according to competence, contract and SLA.

04

Execution and evidence

Time, materials, photographs, inspections and actual outcome are recorded.

05

Acceptance, costs and invoice

Execution is verified, costs are allocated, completion certificates are approved and client accounting is performed.

06

Portfolio analysis and investment

Property SLAs, energy, failures, costs, condition and capital requirements are compared.

Digital maturity model for the business area

0

Property servicing does not accumulate shared history

Requests are received by phone or email, contractor jobs and costs are accumulated separately, and the history of properties and equipment is not reliably traced.

1

Properties are managed separately

Each administrator uses their own spreadsheets, contacts and email history, so the portfolio view lacks important information.

2

Digital requests and accounting

Some jobs are recorded in systems, but asset, contractor, cost and customer data remain separated.

3

Unified property services process Typical current situation

Request, task, contractor, evidence of completion, SLA and costs linked to a specific property and asset.

4

Real-time portfolio management Siektina

Managers compare properties using standardised KPIs, whilst exceptions and budget variances are visible in real time.

5

Predictive asset maintenance

Historical, BMS, energy and fault data are used to forecast investment, maintenance and contractor requirements.

Key conclusion

The greatest administrative burden arises when a single enquiry travels through multiple channels, and the contractor's work, evidence, invoice and service level are not linked. A single property enquiry process is a practical way to create a reliable data foundation for day-to-day work.

The first priority is a single property enquiry process from client registration to contractor work, SLA, acceptance, costs and closure.

Related digitalisation topics

Digitalisation solutions: property management and administrationProcess digitalisationData analytics
Next step

Assessment of digitalisation opportunities in 'Property Management and Administration'

The value created by a unified platform for asset, service and contractor management can be assessed, and a realistic first version defined with measurable KPIs.

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