Extract the right data for Process Mining analysis with ease.
Data extraction, cleaning, and preparation lie at the core of every Process Mining initiative. Without properly connecting the data from company systems to a Process Mining solution, all your process improvement efforts will crash before they even start.
With so-called connectors, you'll easily transform all the necessary information from various IT business systems, applications, and platforms into a single process data model.
Most business systems, be it SAP, Salesforce, Oracle, or any other store their data in a proprietary format and structure that need to be adjusted and understood before being processed by a Process Mining solution.
Moreover, you need the right data logs for the analysis of a certain process in a certain time period, and only attributes that are relevant to it to prevent “garbage in, garbage out” problem.
For continuous process improvements, you need to make sure data extraction a constant stream of data meeting required quality.
How to ensure all these requirements?
The answer is connectors. To correctly implement the data into a Process Mining system, you’ll need to use specifically developed solutions that can clean up this data and transform it into a readable form.
- extract data from the source business systems and data interfaces (web service, flat files, database, etc.),
- transform the data into event logs by combining it with a relevant data model,
- enhance the event log with attributes needed for drilling down, filtering, and custom metrics calculations
- prepare data for loading into Minit Analyst.
Minit connectors extract the data from various common business systems, including:
- SAP, Oracle, Infor, Microsoft,
- ServiceNow, Salesforce, Zendesk,
- JDA Software, Manhattan,
- Any other system with ODBC drivers, for example: Mendix, OutSystems, Amazon Web Services, Google Cloud, Betty Blocks, and others.
Most importantly, Minit can create custom connectors or join forces with your team and develop them based on your specific needs.
Besides the necessary case ID, activity ID, and timestamp, where Minit supports event logs with none, one or two timestamps, and even one timestamp and duration format, you can enhance your analysis with other types of attributes. These can be defined as event-level attributes - change value per event or case-level attributes - having the same value for the whole case.
Minit connectors analyze the data and automatically set the encoding, the delimiter, and all the other parameters for a preview. You can scroll through and see if everything is recognized correctly and if the preview fits your needs.
With near real-time integrated
data flows from Minit, we can
truly understand how people
Juha Byman, Head of Advanced Analytics