Processand Expertise in process mining
With over 200 process implementations, we know exactly what the crucial parts of a successful Process Mining initiative are.
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Most operational systems record every detail of what happens in a process. Think of these activities as “digital footprints” people leave behind as they move through a process. Process Mining captures the digital footprints from any number of systems throughout an organization. It organizes them in a way that shows each step of the journey along with any deviations from the expected path.
An incomplete view of the performance of a business process can lead to misguided decisions and costly mistakes. The ever increasing complexity of business process transformations and optimization poses a tremendous challenge for process transparency, control, and efficiency. Using state-of-the-art Process Mining Technologies, we increase the transparency of your processes giving you greater control over business operations.
Based on data- and fact-driven insights from top-down and bottom-up perspectives, we define and prioritize process optimization measures in order to tackle process bottlenecks. By using the Celonis Action Engine we directly support your operativity via smart messages exactly where and when they are needed.
Founded in 2017 by former Celonis data scientists and business developers, Processand was build entirely to ensure the clients' success with the Process Mining technology. Our expertise comes right from the development source and we have one of the most extensive track records in the world.
Our teams are comprised of highly experienced data engineers, data scientists and machine learning specialists to guarantee the fast and reliable completion of even the most complex projects and tasks.
Headquartered in Munich - with offices in the US and Asia - Processand is on a mission to help enterprises turn their raw data into quick and tangible business value.
Every journey begins with the first step. Let our team of highly experienced Process Mining veterans guide you through the rough parts of the road ahead and help you realize maximum ROI with minimal risk.
Make sure your Process Mining initiative is set up to prefectly fit into your company's culture and working processes.
We help you extract the necessary data from a large variety of IT systems, whether it be on-premis or in the cloud.
Our extensive knowhow in different processes and systems provides your with a very fast event log creation for any given business or custom process.
Based on many transformation projects, you can rely on a large Processand best-in-class use case repertoire to ensure value-driven analyses for your organization.
Based on the insights we can produce for you, our value discovery framework provides you with elaborate quick wins as well as long term process optimizations.
in order to extend the process mining success in your organization, we support you with our "Processsand Care" program after the initial process implementation.
Every interaction inside the transactional systems of your business (like SAP, Oracle, Salesforce, ServiceNow, etc.) leaves "digital footprints" - raw data that can be transformed into a history of actions.
The first stage of Process Mining involves data engineers establishing a continuous data link to key data sources (through pre-build connectors and APIs), extracting and transforming raw data into an event log.
Event logs have three parts:
Process Mining technology aggregates these event logs and reconstructs process flows across your whole organization as they happened - every time they happened.
Analyzing event logs at scale renders your whole process environment in a level of detail that whiteboards, interviews and process mapping software could never provide— every step of every process, every time it’s ever been executed.
In the second stage of Process Mining, data analysts methodically quantify the sum total of your process environment: every case, pathway, variation and error, as well as their business impacts.
The objective is to discover:
All of this happens across a few different steps:
Build a complete picture of every process by exploring an interactive visualization of key metrics, like:
Use powerful AI to understand the root cause (and enhancement opportunity) of every process variation, determine its operational significance and prioritize your response according to its impact on meaningful KPIs tied to key business outcomes, like:
The variations and root causes identified during the Discover phase form the basis of enhancement opportunities—practical actions that remove friction and automate flow for your human and digital work forces.
In the third stage of Process Mining business users leverage AI and machine learning models to execute these enhancement actions across all relevant transactional systems within the same Process Mining interface.
These actions could be in service of:
Continual improvement is central to Process Mining—discovery, analysis and enhancement are on-going activities that keep your processes in tight lockstep with your evolving business needs.
In the fourth stage of Process Mining, executives and managers measure and monitor process performance toward KPIs and business outcomes.
This feedback loop is vital to help the entire business:
Process Mining has a wide variety of applications in an enterprise. It can be beneficial in many diverse situations and across a multitude of organizations.
Create complete process KPIs and dashboards for any business process.
Drive compliance with agreed processes, rules and regulations
Understand the "big picture" - how organizations work, what to prioritize, and what to transform
Increasing process performance by identifying activities that can be automated
Identify bottlenecks, rework, and other symptoms of inefficient processes
Making sure that Shared Service Centers or Accounting Departments are equipped with an optimum quantity of clerks
Support ERP consolidation, new deployments and major version upgrades
Supporting the shop floor or production planning to intervene proactively to ensure delivery dates can be kept
Understand the actual processes, variations, and automation opportunities in order to succeed In RPA projects
