STRIX maSTer
aluco's data cleansing validates and harmonizes the master and transaction data relevant for scheduling, reduces inconsistencies, and creates a reliable basis for efficient planning and the sensible use of AI.
Data Cleansing
High data quality through data cleansing
Data cleansing is a central process for ensuring data quality, especially for master data such as customer, supplier or product information. The aim is to identify and correct incorrect, duplicate, incomplete data and inconsistencies. This creates a reliable basis for operational and strategic decisions with a data-driven foundation.
Data Cleansing - Solves the following Problems!
Select one of the problems. You will receive instructions that you can use to calculate optimization potential.
Errors in the Master Data
Data Cleansing - Find the Right Offering for You
Select products and receive detailed information. You can use the platform to contact product suppliersData Cleansing - The Solution can be Combined with the Following Solutions
Here you can find solutions, which can be combined with the presented solution.
Asset Management
- Tracking of inventory
- Management of multiple types of assets
- Maintenance management
Logistics Consulting
- Reduction of costs and time required for the implementation of a project
- Objective support for projects and decisions
- Reducing project risks and maximising project success opportunities
Inventory Optimization Solutions
- Reduction of inventory, storage time and capital commitment costs
- Shortening the response time to unforeseen events
- Improvement of adherence to delivery dates and delivery capability
Freight Cost Optimization
- Creating transparency for freight rates, contracts and tariffs
- Data-based analysis of potential savings in transportation
- Simple reporting thanks to harmonized transport and cost master data
Optimization of production planning processes
- Automated production planning processes
- Efficient use of resources and materials
- Suitable for complex production processes
Production and logistics planning through simulation
- Optimization of processes
- Risk minimization
- Cost reduction
Warehouse Management System – WMS
- Transparency about stock levels and lead times
- Automation of processes as well as support for data collection and calculation of key figures
- Often modular structure enables selection of software modules according to requirements
Enterprise Resource Planning – ERP-System
- Support for business decisions
- Improvement of the resource management
- Central database for transparency
Route Optimization – Dispatch Routing Software
- Coordination of delivery schedules to optimize efficiency
- Minimization of distances and times for deliveries
- Optimization of cost and delivery quality
Transport Management System – TMS
- Planning of tours and transportation routes
- Optimization of workflows and processes
- Seamless integration into existing company systems
Data Cleansing - The Following Solutions can also Solve the Pain Point
Here you can find other solutions, which are suitable for the optimization of the pain points (Errors in the Master Data) as well as variants of the current solution.
Storage space monitoring in the warehouse
- Precise detection of storage spaces
- Real-time monitoring
- Flexible adaptability to the warehouse layout
Freight Cost Optimization
- Creating transparency for freight rates, contracts and tariffs
- Data-based analysis of potential savings in transportation
- Simple reporting thanks to harmonized transport and cost master data
Task Mining
- Analysis of real usage directly on the desktop - independent of systems
- Recognizing inefficiencies and harnessing unused potential
- Objective and data-based foundation for process analyses
Digital learning platform for employees in logistics
- Efficient onboarding and training
- Interactive learning content for employees
- Ready-made or customized training content
