Industry digitalisation analysis

Business Consultancy: Digitalization Opportunities

More time for analysis and clearer recommendations to the customer

Digital maturity

Typical digital maturity

Shows the level of digitalisation companies in this line of business typically operate at.

The assessment considers use of core systems, how far processes are digitalised, integrations, data readiness and advanced use of data.

A 3 means ordinary, middling maturity. A 5 is given only where real-time data, automated decisions and advanced optimisation are already a routine part of core operations.

medium
Digitalisation potential

Digitalisation potential

Shows the scale of business impact digitalisation could have in this line of business.

It weighs economic leverage, the scope for digital impact, the scale and repetition of processes, value lost today, and the leverage of better data and decisions.

A business area’s score is calculated from five weighted dimensions. A sector’s score is derived from the scores of its business areas.

62/100
Biggest challenge
The client problem and project outcome are formulated too broadly
Biggest opportunity
Less data retrieval, more time for reasonable analysis

Operating model

The consultation project may result in a recommendation or continue in its implementation.The analysis, cooperation and project management measures are selected according to the work that is really being done.

Strategic analysis and recommendations

The consultant analyzes the business situation, compares opportunities and makes a recommendation. The client agrees on which solution the conclusion will be used for and what data it will use.

Process improvement and assistance with the implementation of the changes

The team together with the client plans and tests changes in the organization of work. For each action, a responsible person, term and method of evaluating the result is assigned.

Periodically updated data analysis

The consultant regularly updates the agreed calculations and indicators. Saves data sources and assumptions to the results in order to explain changes.

One-time expert advice

The specialist answers a specific business question or reviews the solution prepared by the client. It is agreed what information the customer provides and what response he expects.

Market context

The consultation project is based on the client's data, employee insights and clearly agreed upon purpose of the decision. It is valuable for the client to be able to compare choices and understand the assumptions of recommendations. The consultant needs to control the scope of the project and pass conclusions in a way that they help organize further actions.

  • Data preparation for analysisClient information can be split between divisions, so its assembly and revision takes a significant part of the project.
  • Adaptation of the recommendationThe client must understand the reasons for the conclusion, the most important assumptions and the intended implementation steps.

Workflow and responsibilities

01

Question

Distinguish between the attribute of the problem, hypothesis, and the preferred measure.

02

Assignment

Combine result, data and consultant role.

03

Analysis

Check alternatives, assumptions and conclusion limits.

04

Client decision

Explain the choice and resources required.

05

The agreed continuation

Pass the conclusion or conduct the test and result check, if provided.

Digital maturity scale

1

Separate records and manual work

Information is mainly held in separate files or notes. Employees pass it on and reconcile it manually.

2

Organised data within individual teams

Teams record their work consistently, but sharing information with colleagues still requires considerable manual checking.

3

Partially integrated systems

Core work is managed in systems. Some information is transferred automatically, but repeated data entry remains.

4

Coordinated systems and teams

Systems deliver the required data on time. Employees can see unfinished work and know who is responsible for resolving discrepancies.

5

Continuous measurement and improvement

The team checks data quality, evaluates results and uses them to improve operations. Automation is applied where its value can be demonstrated.

Executive conclusion

The team needs to understand the client's question, compare alternatives and explain the recommendation. The work and results of the selected initiative are then evaluated against separately agreed criteria.

Related digitalisation topics

Digital Diagnostic PlatformsCustomer collaboration portalsKnowledge and Methodology ManagementManaging the implementation of recommendationsManaged by AI in consultation

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