From business process management to process mining, process analytics and process insight:

Improving businesses based on how they really work

Evidant does more than just process mining, our unique software introduces process analytics and process insight.

Our solution works across four stages: data transformation, process mining, process analytics and process insights.

Many companies simply form an opinion on how they operate based on their historical results, experience and the company culture. BI measures, KPIs and org charts don’t provide business leaders with the knowledge they need to best operate their company.

More advanced companies have implemented some level of business process management (BPM) which defines and orchestrates workflows where workers follow process flow from start to finish, and then documents the workflows and tries to find ways to improve their processes.

However, these workflows are restricted because they aren’t based on the actual processes being performed but defined through best estimates of the process from experienced people in the organization.  These simple models don’t take into account all of the variations, exceptions, changes, regulatory requirements or the evolving market and customer base. BPM typically uses a poor and shallow method to understand process.

What is process mining?

A new field, process mining, has taken things a step further by looking at actual/executed process data; this fits well for processes that involve a final product such as manufacturing or distribution, but doesn’t easily address the challenges in information-based organizations such as banking, healthcare, and insurance.

So, what is process mining?

Put simply, it is extracting knowledge from the event logs that are readily available in most companies’ information systems and turning that data into specially created graphs and tables that allow you to visualize how your company is really operating as opposed to how you think it is operating.

However, before we can even get to that stage, the data that has been extracted from the company’s raw data sources must be transformed to:

• clean it (such has removing redundancies, conflicts, filling in gaps, etc…)
• add intelligence via business and logic rules
• structure it into normalized business process format and other data processing functions

This data transformation is a critical step, and a difficult and often overlooked prerequisite to process mining.

This is where Evidant comes in.

The Evidant difference – Process Analytics

Evidant is the next generation of process intelligence using advanced data transformation techniques to enable more valuable and accurate process mining, and from there was born the next step: Process Analytics.

Hence, process mining is only one part of the job for Evidant. We combine log files and other raw data with metadata to create better data but also add new content resulting in new data details and metadata fields.

Process analytics comprises four main elements:

Evidant starts by using our own data transformation software which is based on the bespoke development environment we’ve been developing for years. This fills in the gaps allowing us to integrate many of your different data sets. We transform the data into a normalized, structured format in preparation for diving into process analytics.

 By starting with a much more complete set of related data, process mining can be performed in a far more useful and comprehensive way.

The final part of the service is Process Insight: working with you and the analytics to define how processes and services can be improved.

Ongoing improvement

All this work takes place on an ongoing basis, taking into account changes as you make them. You can measure the success of the changes you have made and make further changes in a planned and predictable manner.

At Evidant, we know it takes time to implement and measure change, so our simple subscription service works with you as you implement improvements on an ongoing basis.

Where we work

Evidant works across multiple industries because we look at processes in ways that you have never been able do before. We focus on organizations whose product is information (i.e. Banking, Health Care and Insurance).  In these industries, custom applications have been developed and deployed to provide competitive advantages.  This makes extracting data more difficult than in other industries where many businesses are run on off-the-shelf systems such as Oracle, SalesForce and SAP.