Apps Run The World Apps Purchases

Customer	Industry	Empl.	Revenue	Country	Vendor	Application	Category	When	VAR/SI	Insight Source
Claro Brasil	Communications	10000	$6.8B	Brazil	Pegasystems	Pega Process Mining (Formerly EverFlow)	Process Mining	2019	n/a	In 2019, Claro Brasil deployed Pega Process Mining (Formerly EverFlow) to instrument and analyze end to end operational workflows. The deployment used Pega Process Mining as a Process Mining platform to provide visibility across network operations, service assurance, customer care and field operations. Configuration emphasized process discovery, variant analysis and conformance checking, with interactive analytics and dashboarding for throughput, cycle time and exception pattern investigation. Pega Process Mining (Formerly EverFlow) was configured to support data model mapping, event log enrichment and temporal sequence analysis to enable root cause filtering and process segmentation. Event data was ingested from operations support and business support system sources, ticketing and provisioning traces, mediation records and CRM event feeds, using standardized event log schemas and extract transform load pipelines. The implementation linked process insights to orchestration layers and case management workflows, enabling automated creation of remediation tasks and prioritized exception handling in downstream systems. Governance and operationalization included defining process owners, establishing model refresh cadence and embedding continuous review into operational runbooks to assure process conformance and sustained observability. Rollout was organized as phased operational pilots across critical service lines, with configuration focused on surfacing automation candidates, compliance gaps and repeatable optimization opportunities.
Eindhoven University of Technology	Education	4252	$649M	Netherlands	Fluxicon	Fluxicon Disco	Process Mining	2019	n/a	In 2019 Eindhoven University of Technology implemented Fluxicon Disco for Process Mining to support academic and operational process analysis activities. The deployment is tied to faculty-led research, with Prof Wil van der Aalst describing Disco as a great process mining tool that simply works and noting its capacity to handle large event logs and complex models. Fluxicon Disco was used to ingest and preprocess event logs, leveraging built-in conversion and filtering capabilities to normalize datasets for analysis. The implementation emphasized process discovery and performance analysis, using Disco's model visualization and animated history playback together with direct, intuitive performance metrics to surface throughput and timing patterns. Operational use focused on interactive process exploration workflows common to Process Mining, including event log exploration, model interrogation, and performance-oriented analysis to identify process variation and bottlenecks. Governance and adoption were driven by academic research teams and applied within research and analytical projects led by faculty, with usage documented in commentary from Prof Wil van der Aalst.
	Manufacturing	78189	$18.3B	Netherlands	Fluxicon	Fluxicon Disco	Process Mining	2019	n/a
	Media	600	$200M	South Korea	Fluxicon	Fluxicon Disco	Process Mining	2019	n/a
	Professional Services	310	$150M	Canada	Automation Anywhere	Process Discovery (formerly FortressIQ )	Process Mining	2019	n/a
	Professional Services	3800	$900M	United Kingdom	Automation Anywhere	Process Discovery (formerly FortressIQ )	Process Mining	2019	n/a
	Professional Services	40	$4M	United States	Automation Anywhere	Process Discovery (formerly FortressIQ )	Process Mining	2019	n/a
	Banking and Financial Services	12000	$3.6B	United States	Automation Anywhere	Process Discovery (formerly FortressIQ )	Process Mining	2019	n/a
	Consumer Packaged Goods	525	$207M	Japan	Fujitsu	Fujitsu Interstage	Process Mining	2019	n/a
	Professional Services	4000	$1.5B	France	HCL Technologies	HCL DRYiCE iControl	Process Mining	2019	n/a

Logo

Customer

Industry

Empl.

Revenue

Country

Vendor

Application

Category

When

VAR/SI

Insight

Insight Source

Claro Brasil

Communications

10000

$6.8B

Brazil

Pegasystems

Pega Process Mining (Formerly EverFlow)

Process Mining

2019

n/a

In 2019, Claro Brasil deployed Pega Process Mining (Formerly EverFlow) to instrument and analyze end to end operational workflows. The deployment used Pega Process Mining as a Process Mining platform to provide visibility across network operations, service assurance, customer care and field operations. Configuration emphasized process discovery, variant analysis and conformance checking, with interactive analytics and dashboarding for throughput, cycle time and exception pattern investigation. Pega Process Mining (Formerly EverFlow) was configured to support data model mapping, event log enrichment and temporal sequence analysis to enable root cause filtering and process segmentation. Event data was ingested from operations support and business support system sources, ticketing and provisioning traces, mediation records and CRM event feeds, using standardized event log schemas and extract transform load pipelines. The implementation linked process insights to orchestration layers and case management workflows, enabling automated creation of remediation tasks and prioritized exception handling in downstream systems. Governance and operationalization included defining process owners, establishing model refresh cadence and embedding continuous review into operational runbooks to assure process conformance and sustained observability. Rollout was organized as phased operational pilots across critical service lines, with configuration focused on surfacing automation candidates, compliance gaps and repeatable optimization opportunities.

Eindhoven University of Technology

Education

4252

$649M

Netherlands

Fluxicon

Fluxicon Disco

Process Mining

2019

n/a

In 2019 Eindhoven University of Technology implemented Fluxicon Disco for Process Mining to support academic and operational process analysis activities. The deployment is tied to faculty-led research, with Prof Wil van der Aalst describing Disco as a great process mining tool that simply works and noting its capacity to handle large event logs and complex models. Fluxicon Disco was used to ingest and preprocess event logs, leveraging built-in conversion and filtering capabilities to normalize datasets for analysis. The implementation emphasized process discovery and performance analysis, using Disco's model visualization and animated history playback together with direct, intuitive performance metrics to surface throughput and timing patterns. Operational use focused on interactive process exploration workflows common to Process Mining, including event log exploration, model interrogation, and performance-oriented analysis to identify process variation and bottlenecks. Governance and adoption were driven by academic research teams and applied within research and analytical projects led by faculty, with usage documented in commentary from Prof Wil van der Aalst.