Industries
Focused on your industry
Discover the challenges in your industry & how we can help you deal with them
Retail
Retail thrives on precision — from understanding consumer behavior to managing inventory and pricing. Data empowers retailers to move faster, tailor experiences, and improve margins in a market where agility and insight are key.
Key areas where data creates value in retail include:
Personalized marketing
Product recommendations
Inventory tracking
Sales trend analysis
Stock level monitoring
Footfall measurement
Customer feedback collection
Promotion performance
Price testing
Store layout testing
Banking
In financial services, data underpins trust, compliance, and profitability. From customer intelligence to fraud detection and risk scoring, it provides the foundation for sharper decision-making and more resilient operations.
Some examples of frequent use-cases are:
Risk scoring
Fraud flagging
Customer churn detection
Product uptake tracking
Contract cancellation logging
CRM note structuring
KYC data monitoring
Compliance calendar tracking
Policy portfolio analysis
Offer decline patterns
Audit trail maintenance
Task completion logging
Manufacturing
Modern manufacturing depends on visibility — across machines, people, and processes. Data enables better coordination, waste reduction, and quality assurance in environments where efficiency and consistency are critical.
Here is a list providing the major applications of data science in manufacturing:
Equipment uptime tracking
Production volume logging
Quality inspection digitization
Waste monitoring
Maintenance scheduling
Production target tracking
Machine performance comparison
Process timing measurement
Energy usage logging
Use-case
MDM Architecture to Enable SAP Integration
We designed a scalable master data architecture that would support its global SAP rollout and ensure consistency across diverse business units.
The project in a nutshell
Challenges
- Disparate systems with inconsistent definitions for products, customers, and suppliers
- Fragmented master data across regions and business entities
- Inefficient processes causing duplication and data quality issues
- Need for a unified, SAP-aligned data foundation before migration
Approach
- Designed an enterprise-wide MDM architecture aligned with SAP MDG principles
- Defined canonical data models and synchronization processes
- Established governance roles and data quality KPIs
- Collaborated closely with SAP implementation teams to ensure end-to-end alignment
Impact
- Unified master data model across manufacturing and sales entities
- Reduced inconsistencies and duplication pre-migration
- A scalable, future-proof foundation for the global SAP program
- Improved data quality and readiness across the organisation
Public services
Public institutions manage complex systems with limited resources — making data a powerful enabler of efficiency, transparency, and accountability.
Whether it’s service delivery, citizen engagement, or internal operations, structured data use supports better decisions and helps restore public trust. Even simple tools can lead to meaningful improvements.
Service response time tracking
Permit request logging
Citizen feedback collection
Case handling time measurement
Satisfaction score recording
Resource allocation overview
Subsidy disbursement monitoring
Document status logging
Request backlog analysis
Fraud flagging
Use-case
Automated Reporting & Data Integration
Agentschap Justitie & Handhaving partnered with Dark Light to modernise their reporting landscape and streamline the growing demand for reliable, automated insights.
The project in a nutshell
Challenges
- Rapid increase in reporting requests across the organisation
- Limited internal BI expertise and capacity
- Manual processes leading to slow turnaround times
- Fragmented data sources causing inconsistencies in reporting
Approach
- Deployment of a dedicated Power BI consultant to reinforce BI capabilities
- Development of automated ETL pipelines for stable data processing
- Streamlined data integration and transformation across systems
- Creation of clear, interactive dashboards tailored to stakeholder needs
Impact
- Significant reduction in workload for the internal data team
- Faster, automated insights for management
- A scalable reporting environment ensuring future-proof operations
- More reliable and accessible decision-making tools across the department
Telecom
Telecom providers must balance infrastructure demands with fast-evolving customer expectations.
Data helps optimize networks, reduce churn, and uncover growth opportunities in a highly competitive, high-volume industry.
Examples of data / BI utility are varied, e.g.:
Network issue logging
Complaint volume tracking
Missed contact monitoring
Customer segmentation
Plan usage analysis
Signal quality reporting
Churn indicator tracking
Installation delay logging
Contract lifecycle tracking
Offer acceptance monitoring
Support case duration tracking
Service upgrade targeting
Professional Services
In client-driven businesses, performance depends on how well time, talent, and relationships are managed. Data helps firms stay on top of delivery, profitability, and pipeline health — enabling better decisions across both strategic planning and day-to-day execution.
Billable hour tracking
Project time allocation
Lead conversion logging
Client interaction tracking
Support issue logging
Pipeline stage monitoring
Revenue per client analysis
Resource utilization tracking
Feedback collection
Proposal status tracking
Schedule adherance monitoring
Onboarding milestone logging
