Business Intelligence Consulting: Requirements Before Tools

A software demo shows you how good a dashboard can look. It rarely explains which decisions your business will make better as a result. That is where business intelligence consulting should begin: with the questions your management and finance teams need answered, the available data and IT requirements.

If you are looking for a BI solution, start with a clear requirements brief. This article gives you a template for documenting objectives, metrics, data sources and selection criteria before choosing software. It turns a matter of preference into a defensible investment decision.

In short: Successful BI tool selection starts with business decisions, agreed metric definitions, data sources and selection criteria—not product comparisons. A shared BI requirements brief establishes which solution fits your business needs, technical environment and budget.

What does business intelligence consulting deliver before software selection?

Business intelligence consulting translates business decisions into testable requirements for data, analysis and operations. Its first deliverable should be an agreed target state with clear priorities, not a licence quotation.

Management may need visibility into financial performance and risks. Finance needs traceable calculations and reliable comparisons. IT needs to understand data integration, access control and refresh monitoring.

BI consulting brings these perspectives together. It also establishes whether reporting is actually the problem: a new dashboard cannot fix missing master data or conflicting accounting rules.

If you also need forecasting or analysis of underlying drivers, data analytics consulting can extend the scope. These requirements belong explicitly in the brief rather than becoming an unspoken addition to the BI project.

How can mid-sized businesses select the right BI tool?

Mid-sized businesses can select the right BI tool by agreeing on requirements, defining mandatory criteria and testing candidates with their own data. An impressive demo alone is not a sound basis for a decision.

Follow this sequence:

1. Prioritise decisions: Which recurring business decision should improve first?
2. Agree on metrics: How will the required values be calculated, and who owns their definitions?
3. Check the data: Are sources, access, quality and history sufficient?
4. Document constraints: What requirements apply to security, integration and operations?
5. Test candidates: Can each solution demonstrably support the same priority use case?

Also agree on decision-making responsibilities. Business teams assess usability and relevance; IT assesses architecture and operations; management prioritises value and budget. Without these responsibilities, selection can easily become a vote on personal tool preferences.

What belongs in a BI requirements brief?

A BI requirements brief documents the decisions to support, the definitions of relevant metrics, the data needed and the criteria for choosing a solution. It gives business teams, IT and potential consulting partners a shared basis for their work.

Copy the following template into your project document. Keep unanswered fields visible as open issues and assign someone to resolve each one.

1. Business objective and decision questions

• Use case: Which business process should improve?
• Decision question: What specific question must the analysis answer?
• Users and frequency: Who makes decisions daily, weekly or monthly?
• Follow-up action: What happens when a metric flags an issue?
• Boundaries: What is explicitly outside the initial scope?

For example, replace “We need a sales dashboard” with “Which product groups are losing gross profit, and where should we review prices or purchasing terms?” This makes the intended action clear.

2. Metric definitions

Complete these fields for every priority metric:

• Name and purpose: What is the metric called, and which decision does it support?
• Formula: Which values are used, and how are they calculated?
• Time reference: Does it follow invoice date, delivery date or accounting period?
• Level of detail: Is analysis required by entity, customer, product or order?
• Exceptions: How are credit notes, cancellations, currencies and missing values handled?
• Ownership: Who signs off on the business definition?

For gross profit, “revenue minus cost of goods sold” is not enough. Specify which revenue and cost components are included and how they are assigned to periods. Otherwise, two technically correct reports may produce different results.

3. Data sources and quality

• Source systems: Which data comes from ERP, CRM, files or other applications?
• Access: Which interfaces and permissions are available?
• Linking records: Are there shared customer, product and entity identifiers?
• History and refresh: How far back does the data go, and how current must it be?
• Known gaps: Where are values, mappings or reliable master data missing?
• Responsibility: Who can correct errors at the source?

Describe freshness as a business requirement. A monthly financial review does not automatically require continuous real-time updates.

4. Selection criteria and operating model

• Mandatory criteria: Which requirements are essential, such as role-based access?
• Preferences: Which capabilities are useful but negotiable?
• Integration: Which existing systems and identity services must connect?
• Operations: Who handles support, changes, monitoring and permission management?
• Budget boundaries: What implementation and recurring costs are acceptable?
• Acceptance criteria: How will you establish that the use case works?

A testable acceptance criterion might be: finance can reconcile the reported monthly figure with the agreed source data, and users can see only the entities they are authorised to access.

5. Open issues and approval

Record assumptions, unresolved questions, owners and decision dates. Management, finance and IT approve the brief before tool comparisons begin; subsequent changes are documented.

How do you compare BI tools objectively?

An objective BI tool comparison assesses every candidate against the same requirements and test case. Mandatory criteria are checked first; weighted evaluation criteria come afterwards.

Set the weights before watching product presentations. For every criterion, record both the assessment and its supporting evidence: a tested data connection, a verified access rule or a documented cost assumption. An unknown capability is not a confirmed capability.

Test with a representative dataset provided in compliance with applicable data protection requirements. Include difficult cases such as missing mappings and credit notes, not just clean sample data.

Keep two decisions separate: Requirements analysis and tool comparison establish which solution fits. Comparing proposals for Power BI evaluates specific services, responsibilities and commercial terms once the platform choice has been narrowed down. Ailio’s Power BI consulting provides platform-specific support at that stage.

What does BI consulting cost, and what should the budget include?

BI consulting costs depend on business scope, the condition of the data and the implementation work required. A credible estimate separates requirements work, data preparation, reporting and ongoing operations.

Beyond licences, account for internal staff time, interfaces, data modelling, training, support and future extensions. Ask providers to state their assumptions and exclusions explicitly.

A clearly bounded initial use case makes estimating easier. If data quality is still unknown, commission an assessment first rather than building a seemingly precise total on uncertain assumptions.

How we work

At Ailio, we start by clarifying decision-making needs, the data foundation and operational responsibilities together. We use those findings to propose a prioritised implementation approach rather than assuming a software choice upfront.

• Develop the brief: We structure the relevant questions with management, finance and IT, documenting open issues.
• Assess feasibility: We examine source systems, metric definitions, data quality and access requirements.
• Prepare the selection: We translate requirements into testable criteria and a suitable test case.
• Plan implementation: We clarify the data model, reporting, acceptance and handover to operations.

With locations in Bielefeld and Hamburg, Ailio helps you connect business requirements with technical implementation. If Power BI fits your requirements, we take the brief into detailed platform planning.

Turn your brief into a sound decision

You do not need every metric fully defined before your first consulting conversation. Bring your most important decision question, the known data sources and the roles involved.

Want to assess whether Power BI fits? Talk to Ailio about your requirements and next steps.