Business Intelligence Reports with DIVINT
Business Intelligence Reports with DIVINT
Business Intelligence Reports with DIVINT
Up to 60% faster reporting
Up to 60% faster reporting
Faster Decisions
Faster Decisions
Early Warning System for Risks
Early Warning System for Risks
These companies trust DIVINT
These companies trust DIVINT
These companies trust DIVINT
Our BI reporting focus areas at a glance
Our BI reporting focus areas at a glance
Data Integration & Architecture (ETL/ELT, DWH/Lakehouse)
We consolidate sources, model a clean data foundation (e.g., Star/Snowflake), and automate pipelines – the basis for fast, reliable analyses.
Data Integration & Architecture (ETL/ELT, DWH/Lakehouse)
We consolidate sources, model a clean data foundation (e.g., Star/Snowflake), and automate pipelines – the basis for fast, reliable analyses.
Data Integration & Architecture (ETL/ELT, DWH/Lakehouse)
We consolidate sources, model a clean data foundation (e.g., Star/Snowflake), and automate pipelines – the basis for fast, reliable analyses.
Visualization & Dashboard Design
Appropriate chart selection, interactions, drill-downs, and alerts – for comprehensible dashboards and Business Intelligence reports on desktop and mobile.
Visualization & Dashboard Design
Appropriate chart selection, interactions, drill-downs, and alerts – for comprehensible dashboards and Business Intelligence reports on desktop and mobile.
Visualization & Dashboard Design
Appropriate chart selection, interactions, drill-downs, and alerts – for comprehensible dashboards and Business Intelligence reports on desktop and mobile.
Data Quality & Governance
Validation rules, master data standards, lineage and role/permission concepts ensure that numbers in business intelligence reports are reliable company-wide.
Data Quality & Governance
Validation rules, master data standards, lineage and role/permission concepts ensure that numbers in business intelligence reports are reliable company-wide.
Data Quality & Governance
Validation rules, master data standards, lineage and role/permission concepts ensure that numbers in business intelligence reports are reliable company-wide.
Data Strategy & KPI Framework
We define the relevant business questions, translate them into clear KPIs, and establish a consistent metrics model as a foundation for reliable Business Intelligence reports.
Data Strategy & KPI Framework
We define the relevant business questions, translate them into clear KPIs, and establish a consistent metrics model as a foundation for reliable Business Intelligence reports.
Data Strategy & KPI Framework
We define the relevant business questions, translate them into clear KPIs, and establish a consistent metrics model as a foundation for reliable Business Intelligence reports.
Self-Service BI & Ad-hoc Analysis
We empower departments to perform their own analyses—with certified datasets, guardrails, and clear KPI definitions.
Self-Service BI & Ad-hoc Analysis
We empower departments to perform their own analyses—with certified datasets, guardrails, and clear KPI definitions.
Self-Service BI & Ad-hoc Analysis
We empower departments to perform their own analyses—with certified datasets, guardrails, and clear KPI definitions.
Embedded BI & Automation
Insights where work happens: Business Intelligence Reports in specialized applications, subscription reports, notifications, and API exports.
Embedded BI & Automation
Insights where work happens: Business Intelligence Reports in specialized applications, subscription reports, notifications, and API exports.
Embedded BI & Automation
Insights where work happens: Business Intelligence Reports in specialized applications, subscription reports, notifications, and API exports.
Why Business Intelligence Reports – and what happens without them?
With DIVINT as your partner, you benefit from clear advantages. Without BI reporting, however, you face typical risks:
With DIVINT IT BI Reporting
Benefits
Unified KPI Language Instead of Excel Silos
Faster decisions through up-to-date, self-service-capable reports
Measurable process improvements along the value chain
Early warning systems for risks (Operational, Financial, Compliance)
Less manual data collection, more focus on actions
Scalable architecture for new sources, markets, and teams
Without structured BI reporting
Disadvantages
Contradictory numbers and endless rounds of voting
Delayed responses to deviations in market, production, or finance
Significant time investment for manual report assembly
Decision risks due to lack of data quality and governance
Shadow reporting without versioning and audits
Missed Opportunities in Cross-/Upselling and Efficiency
Frequently Asked Questions
What are Business Intelligence Reports?
Business Intelligence reports are curated analyses from integrated corporate data. They consolidate information into KPIs, trends, and patterns—from ad-hoc queries to interactive dashboards—creating a clear basis for decision-making.
What are Business Intelligence Reports?
Business Intelligence reports are curated analyses from integrated corporate data. They consolidate information into KPIs, trends, and patterns—from ad-hoc queries to interactive dashboards—creating a clear basis for decision-making.
For which company sizes are Business Intelligence reports useful?
With approximately 50 employees, a structured BI setup becomes worthwhile. At the latest, when dealing with multiple countries, brands, or system landscapes, Business Intelligence reports become essential to ensure a unified factual basis.
For which company sizes are Business Intelligence reports useful?
With approximately 50 employees, a structured BI setup becomes worthwhile. At the latest, when dealing with multiple countries, brands, or system landscapes, Business Intelligence reports become essential to ensure a unified factual basis.
How does one start a BI reporting project?
With a BI Readiness Check: prioritize goals & use cases, clarify KPI definitions, review data situation. This is followed by an MVP dashboard (e.g., sales or operations) as a quick proof of value – then iterative expansion.
How does one start a BI reporting project?
With a BI Readiness Check: prioritize goals & use cases, clarify KPI definitions, review data situation. This is followed by an MVP dashboard (e.g., sales or operations) as a quick proof of value – then iterative expansion.
Are internal specialist departments involved?
Yes. Data models and reports are developed in collaboration with business owners. Responsibilities (Data Owner, Stewards) are clearly established, and expertise remains in-house.
Are internal specialist departments involved?
Yes. Data models and reports are developed in collaboration with business owners. Responsibilities (Data Owner, Stewards) are clearly established, and expertise remains in-house.
How long do typical BI initiatives take?
A focused MVP for Business Intelligence reports often requires 4-8 weeks. Programmatic rollouts (additional areas/regions) occur iteratively over 6-18 months.
How long do typical BI initiatives take?
A focused MVP for Business Intelligence reports often requires 4-8 weeks. Programmatic rollouts (additional areas/regions) occur iteratively over 6-18 months.
Are implementations also possible remotely?
Yes. Workshops, reviews, and go-lives are conducted flexibly – either on-site or 100% virtually, including secure access to staging and production environments.
Are implementations also possible remotely?
Yes. Workshops, reviews, and go-lives are conducted flexibly – either on-site or 100% virtually, including secure access to staging and production environments.
How is the service billed?
Transparent: Fixed price for assessments/MVPs, time & material for expansion or as a retainer for operations, enablement, and continuous improvement.
How is the service billed?
Transparent: Fixed price for assessments/MVPs, time & material for expansion or as a retainer for operations, enablement, and continuous improvement.
Which tools and technologies are supported?
Tool-agnostic. What matters are compatibility with your data landscape, scalability, governance, self-service capability, and performance – not a single brand name.
Which tools and technologies are supported?
Tool-agnostic. What matters are compatibility with your data landscape, scalability, governance, self-service capability, and performance – not a single brand name.
What results are realistic?
Typically: significantly less time spent on manual reporting (-30% to -60%), faster decision-making cycles, increased data reliability, and measurable process KPIs (quality, throughput time, costs).
What results are realistic?
Typically: significantly less time spent on manual reporting (-30% to -60%), faster decision-making cycles, increased data reliability, and measurable process KPIs (quality, throughput time, costs).
How does BI reporting address data protection and compliance (e.g., GDPR)?
Through role/rights concepts, masking/pseudonymization, audit trails, and data domains with clear access rules. Business intelligence reports only display what the respective role is permitted to view.
How does BI reporting address data protection and compliance (e.g., GDPR)?
Through role/rights concepts, masking/pseudonymization, audit trails, and data domains with clear access rules. Business intelligence reports only display what the respective role is permitted to view.
Thang Nguyen
CEO, DIVINT
In a complimentary consultation, discover how Fabric can transform your business
Thang Nguyen
CEO, DIVINT
In a complimentary consultation, discover how Fabric can transform your business
Thang Nguyen
CEO, DIVINT
In a complimentary consultation, discover how Fabric can transform your business