Low-Code Process Mining in Practice
Blog: AuraQuantic Blog
Process mining uses data mining techniques
to analyse event logs to
identify trends and patterns to improve the understanding of business
processes, optimize and make them more efficient.
Organizations are becoming more aware of
the value of their data, which makes process mining very useful for detecting
and diagnosing any irregularities in their processes.
Organizations can use process mining to discover
new automations and detect deviations in their running processes, but low-code
tools are needed to make the necessary adjustments with the agility and
efficiency required in today’s business environment.
PROCESS MINING REFLECTS THE REALITY OF YOUR COMPANY
Process mining facilitates the acquisition
of control over data, and its use to draw conclusions that allow us to make
decisions based on occurrences rather than intuition.
Companies need to look at their past and
analyse their mistakes to improve results. It is not possible to improve the
overall performance of a business when the deficiencies and missed
opportunities are not analysed nor is it possible to make predictions about the
future without looking at the trends and patterns reflected in the historical
records.
Process mining can help organizations to:
- Detect problems in their
workflow - Improve operations.
- Discover bottlenecks.
- Reduce time in the execution of
processes, prioritizing the most profitable actions. - Discover new processes.
- Increase customer satisfaction.
- Define the automation of our
processes.
Processes play an essential role in a
company’s path to success. As the company grows, new elements come into play
that may slip out of control. For this reason, it is very important that our
data always provides a real view of the organization’s state.
WHAT’S GOING ON IN YOUR COMPANY?
Most organizations believe that they have
good control over the execution of their processes, and that everyone always
knows what to do. In fact, this is not always the case. Generally, there are
deviations between the ideal process drawn up by management and the way processes
are actually executed.
It is true that, automating a process with
a low-code BPM tool can help to standardize the execution of process activities,
but true control can only be obtained by analyzing the data.
must be used to measure the efficiency of the changes.
Many companies use different technologies
to record their activities (ERP, CRM, BPM, …). And each one of them generates
large amounts of data, but unfortunately on many occasions this information is
isolated. This makes it necessary to have a tool that has connectors that make it possible
to carry out the integrations in a simple way, and thus we can access a consistent
depiction of events.
The use of data mining is only effective if
we have access to information from all applications in our system and can
perform our processes to identify possible improvements and bottlenecks.
The days of visceral decisions are over,
and nowadays it is not possible to make important decisions, or to drive
organizational change, without having data to support the actions.
LOW CODE DRIVES PROCESS MINING
Process mining focuses on collecting data
from event records by identifying what happened at a given time and provides a
workflow for analysing and detecting process loops, inefficiencies,
bottlenecks, and possible improvements.
process mining is its ability to cut through the noise.
However, if we are not able to implement it
quickly and effectively the information is of no value. In order to do this, the
best option is a low-code tool that allows us to implement new solutions in a
minimal amount of time, guaranteeing the integration of all system components, data
control and process monitoring.
Low code is the tool that allows us to implement the strategies that data mining discovers, and to reach its objectives, ensuring end-to-end process.
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