West Chester, 19382, PA,
United States
BPM-Discipline US Technographics
Discover the latest software purchases and digital transformation initiatives being undertaken by BPM-Discipline US and its business and technology executives. Each quarter our research team identifies on-prem and cloud applications that are being used by the 40 BPM-Discipline US employees from the public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources.
During our research, we have identified that BPM-Discipline US has purchased the following applications: Microsoft Azure Cloud Services for Application Hosting and Computing Services in 2015, Microsoft 365 for Collaboration in 2015, Process Discovery (formerly FortressIQ ) for Process Mining in 2019 and the related IT decision-makers and key stakeholders.
Our database provides customer insight and contextual information on which enterprise applications and software systems BPM-Discipline US is running and its propensity to invest more and deepen its relationship with Microsoft , Amazon Web Services (AWS) , Automation Anywhere or identify new suppliers as part of their overall Digital and IT transformation projects to stay competitive, fend off threats from disruptive forces, or comply with internal mandates to improve overall enterprise efficiency.
We have been analyzing BPM-Discipline US revenues, which have grown to $4.0 million in 2024, plus its IT budget and roadmap, cloud software purchases, aggregating massive amounts of data points that form the basis of our forecast assumptions for BPM-Discipline US intention to invest in emerging technologies such as AI, Machine Learning, IoT, Blockchain, Autonomous Database or in cloud-based ERP, HCM, CRM, EPM, Procurement or Treasury applications.
IaaS
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
Insight Source |
|---|---|---|---|---|---|---|---|---|---|
| Microsoft | Legacy | Microsoft Azure Cloud Services | Application Hosting and Computing Services | IaaS | n/a | 2015 | 2015 | ||
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Application Hosting and Computing Services | IaaS |
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2016 | 2016 |
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Collaboration
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
Insight Source |
|---|---|---|---|---|---|---|---|---|---|
| Microsoft | Legacy | Microsoft 365 | Collaboration | Collaboration | n/a | 2015 | 2015 |
Analytics and BI
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
Insight Source |
|---|---|---|---|---|---|---|---|---|---|
| Automation Anywhere | Legacy | Process Discovery (formerly FortressIQ ) | Process Mining | Analytics and BI | n/a | 2019 | 2019 | In 2019, BPM-Discipline US deployed Process Discovery (formerly FortressIQ) from Automation Anywhere to analyze the invoicing portion of its Order to Cash process. The engagement applied targeted Process Mining analysis across business units in the United States, United Kingdom, and India as part of BPM-Discipline US's Rapid Process Improvement methodology. Process Discovery (formerly FortressIQ) was configured to capture user interaction and transaction-level process intelligence, producing visual process maps, variant analysis, and activity sequencing to expose deviations in invoicing workflows. Configuration prioritized end-to-end traceability of invoice creation, approval, and billing handoffs to surface frequent exceptions and nonstandard paths. The implementation focused on finance and accounts receivable functions within the Order to Cash value stream, addressing cross-functional handoffs between commercial, delivery, and billing teams. Operational coverage included the firm’s UK, US, and India business units, with analyzed process variants used to align process owners around standardized invoicing steps. BPM-Discipline US governed remediation through its Rapid Process Improvement program, prioritizing targeted fixes and updated operating procedures with accountable process owners. Use of Process Discovery (formerly FortressIQ) enabled identification and resolution of process inconsistencies and reduced invoicing process times by 24%. |
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