Data Analytics
Value can be generated from data in many different ways. Whether this is done by SIMULATION of your data or by forecasting your future business, we provide practical and tailored solutions that exactly address your needs.
Using both machine learning and deep learning models we can discover inefficiencies and their root causes, streamline your processes, and reduce unnecessary work and costs.
What is it?
Machines learn how to drive (sub-) processes themselves. Machines are figuring out where automation can help to accelerate and improve process efficiency.
Automation
Machines learn how to drive (sub-) processes themselves. Machines are figuring out where automation can help to accelerate and improve process efficiency.
Assess, Implement and monitor Automation in your processes
Optimize ticket processing by checking incoming tickets against previous resolution processes
Evaluate your automation rate regarding purchase order creation
Check incoming tickets against knowledge data base for automatic response generation
Natural Language Processing
NLP and text mining enables you to organize unstructured text documents e.g. free text orders or ITSM tickets. NLP enables you to increase the quality of your master data
Identify accounting errors or fraud
Categorize complex incoming tickets to speed up the time to solution
Identify potentials for Smart Form Templates by scanning free text orders
Automatically compare price indices on item level to identify negotiation potentials
Forecasting & Predictive
Forecasting based on neural networks containing all the relevant information sources. Predicting harmful scenarios by proactive prevention
Predict material sourcing to increase adherence of deliveries
Predict Budget amount that will be spent by the SCM department
Identify maintenance demand to avoid time and budget loss
Optimize resource planning by predicting the adherence to SLAs
Predict the workload associated with invoices based on seasonal changes, holidays, open POs etc.
Pattern Recognition
Many patterns repeat over time indicating process divergence, fraud and other harmful events. Algorithms discover such patterns which can be kept or eliminated by the user.
Identify root causes for manual goods receipt
Save time and money due to automated invoice pay recommendations
Automatically match invoices that can not directly be allocated to the PO Item
Detect non-reassigned approvals
Generate recommendations for e.g. supplier, contracting, pricing conditions
Pattern Recognition
Experiences
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