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Procesmining

Procesmining analyseert bedrijfsprocessen en biedt inzichten voor efficiëntie en optimalisatie.

Wat is Procesmining?

Procesmining is een geavanceerde analytische discipline die gebruikmaakt van gegevens uit gebeurtenislogs om bedrijfsprocessen te ontleden en een grondig inzicht te krijgen in hun operationele verloop. Het is een hulpmiddel op het snijvlak van datawetenschap en procesmanagement, dat gebeurtenislogs onderzoekt om processen in de praktijk te ontdekken, te monitoren en te verbeteren. Een concreet voorbeeld van de toepassing ervan is in het supply chain management, waar procesmining de levenscyclus van een product kan analyseren, van productie tot levering. Het onthult knelpunten, identificeert procesafwijkingen en biedt inzicht in de algehele werking van de supply chain.

Wat zijn de voordelen van Procesmining?

Procesmining biedt aanzienlijke voordelen en revolutioneert de manier waarop bedrijven hun operaties begrijpen en optimaliseren.

Wat is RPA?

Intelligent Process Automation (IPA) is an advanced form of technology that orchestrates the creation, deployment, and management of smart bots designed to mimic human activities within digital interfaces. These bots can astutely perform tasks such as extracting customer information from a database and using it to generate invoices. They are capable of interpreting on-screen data, executing accurate keystrokes, seamlessly navigating through diverse systems, and extracting relevant data. An added layer of sophistication allows these bots to learn from previous tasks, adapt to changes in process, and even handle unstructured data, proving their robustness in handling a vast array of complex digital tasks.

Wat zijn de voordelen van RPA?

Robotic Process Automation (RPA) presents a revolutionary approach to streamlining business operations, offering significant advantages ranging from enhanced efficiency to improved accuracy.

Procesmining Procesvoorbeelden

Kostenverlaging

Identificeert inefficiënte praktijken, waardoor operationele kosten worden verlaagd.

Naleving

Monitort processen om naleving van wettelijke normen te garanderen.

Transparantie

Biedt duidelijk inzicht in daadwerkelijke processen, wat transparantie bevordert.

Risicomanagement

Helpt bij het vroegtijdig opsporen van procesafwijkingen en het beheersen van operationele risico's.

Waar kan Procesmining worden gebruikt?

Procesmining maakt grote impact in meerdere industrieën vanwege het potentieel om operationele efficiëntie te transformeren. In vastgoedbeheer wordt het gebruikt om de levenscyclus van huur- of leaseprocessen te volgen en te optimaliseren, waardoor een gestroomlijnde dienstverlening mogelijk wordt. Binnen de belastingadministratie ondersteunt procesmining een uitgebreide analyse van belastingaangifte- en auditprocessen, helpt het knelpunten te identificeren en naleving van regelgeving te waarborgen. De horecasector gebruikt procesmining om de klantervaring te verbeteren door processen zoals reserveringen, inchecken en housekeeping te optimaliseren. Het wordt ook veel toegepast in sectoren zoals de gezondheidszorg voor het in kaart brengen van de patiëntreis, in de productie voor het optimaliseren van productieprocessen en in de logistiek voor het verbeteren van supply chain management.

Check out in depth what Automation can deliver for Banks in these cases:

Risk and compliance assessments.

These essential components of banking and financial operations, aiming to ensure that banks operate within legal and regulatory requirements and manage various forms of risks.

Yet another
case

These essential components of banking and financial operations, aiming to ensure that banks operate within legal and regulatory requirements and manage various forms of risks.

Yet another
case

These essential components of banking and financial operations, aiming to ensure that banks operate within legal and regulatory requirements and manage various forms of risks.

Yet another
case

These essential components of banking and financial operations, aiming to ensure that banks operate within legal and regulatory requirements and manage various forms of risks.

Yet another
case

These essential components of banking and financial operations, aiming to ensure that banks operate within legal and regulatory requirements and manage various forms of risks.

Yet another
case

These essential components of banking and financial operations, aiming to ensure that banks operate within legal and regulatory requirements and manage various forms of risks.

Yet another
case

These essential components of banking and financial operations, aiming to ensure that banks operate within legal and regulatory requirements and manage various forms of risks.

Yet another
case

These essential components of banking and financial operations, aiming to ensure that banks operate within legal and regulatory requirements and manage various forms of risks.

Yet another
case

These essential components of banking and financial operations, aiming to ensure that banks operate within legal and regulatory requirements and manage various forms of risks.

Yet another
case

These essential components of banking and financial operations, aiming to ensure that banks operate within legal and regulatory requirements and manage various forms of risks.

Yet another
case

These essential components of banking and financial operations, aiming to ensure that banks operate within legal and regulatory requirements and manage various forms of risks.

Yet another
case

These essential components of banking and financial operations, aiming to ensure that banks operate within legal and regulatory requirements and manage various forms of risks.

Yet another
case

These essential components of banking and financial operations, aiming to ensure that banks operate within legal and regulatory requirements and manage various forms of risks.

Hoe profiteert AI make RPA better?

Robotic Process Automation (RPA) greatly benefits from advancements in Artificial Intelligence (AI). While RPA is excellent at following rules-based processes, AI provides the capability for RPA bots to learn, adapt, and make decisions, enhancing their functionality. AI-powered cognitive capabilities like Natural Language Processing (NLP), Machine Learning (ML), and Computer Vision enable bots to understand and respond to text or voice commands, learn from historical data, and recognize images, respectively. For instance, in customer service, AI-powered RPA can analyze customer sentiments in real-time, allowing bots to handle customer complaints and queries more effectively, delivering personalized responses and improving overall customer experience. 

Ontdek hoe Procesmining in verschillende sectoren worden gebruikt