concept#Data#Analytics#Data Analysis

Business Intelligence (BI)

Business Intelligence (BI) includes technologies, applications, and practices for analyzing data and providing actionable insights.

Business Intelligence refers to the processes and technologies that companies use to collect, analyze, and visualize data.

Maturity

Established

Cognitive loadMedium

Classification

ComplexityMedium
Impact areaBusiness
Decision typeDesign
Organizational maturityAdvanced

Technical context

Integrations

CRM systemsDatabasesReporting tools

Principles & goals

Principles

Ensure data integrityMake data-driven decisionsSimple visualization of complex data

Value stream stage

Build

Organizational level

Enterprise

Use cases & scenarios

Use cases

Scenarios

Compromises

Risks

Misinterpretation of data
Data privacy risks
Dependency on technologies

Best practices

Regular data reviews
Training for staff
Use of visualization techniques

I/O & resources

Inputs

Access to relevant data sources
Training in using BI tools
Data management policies

Outputs

Actionable business insights
Reports and dashboards
Graphical data analyses

Resources

Description

Business Intelligence refers to the processes and technologies that companies use to collect, analyze, and visualize data. This enables informed decision-making and strategic planning by leveraging real-time data analytics.

✔Benefits

Increased efficiency
Better decision-making
Faster access to data

✖Limitations

High implementation costs
Complexity of tools
Data manipulation possible

Trade-offs

Metrics

ROI of BI Solutions
Measurement of the return on investment of BI applications.
Processing Time of Data Requests
The time needed to process data requests.
User Satisfaction
Assessment of user satisfaction with BI tools.

Examples & implementations

Sales Analysis at Company X

Company X used BI tools to analyze sales data and make strategic decisions.

Customer Satisfaction Study at Company Y

Company Y evaluated customer feedback to improve products.

Market Research by Company Z

Company Z conducted market analyses to identify new business opportunities.

Implementation steps

Identify and integrate data sources

Select and set up BI tools

Create report templates

⚠️ Technical debt & bottlenecks

Technical debt

Outdated BI software
Insufficient hardware resources
Lack of documentation

Known bottlenecks

Data QualityDelays in data processingTechnological dependencies

Misuse examples

Misinterpretation of BI data
Data leaks due to insecure practices
Overload from too much data

Typical traps

Too high expectations for BI tools
Neglecting data security
Lack of user acceptance

Required skills

Data analysis skillsKnowledge in BI toolsCommunication skills

Architectural drivers

Integration of data sourcesReal-time data processingUser-friendly interface

Constraints

• Compliance with data protection regulations
• Budget constraints
• Technical infrastructure