List of Minit Process Mining Customers
Microsoft
One Microsoft Way,
Redmond, 98052-6399, WA,
United States
Redmond, 98052-6399, WA,
United States
1 425-882-8080
Professional Services
221000
$243.0B
Since 2010, our global team of researchers has been studying Minit Process Mining customers around the world, aggregating massive amounts of data points that form the basis of our forecast assumptions and perhaps the rise and fall of certain vendors and their products on a quarterly basis.
Each quarter our research team identifies companies that have purchased Minit Process Mining for Process Mining from public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources, including the customer size, industry, location, implementation status, partner involvement, LOB Key Stakeholders and related IT decision-makers contact details.
Companies using Minit Process Mining for Process Mining include: Telus, a Canada based Communications organisation with 106800 employees and revenues of $14.47 billion, Stora Enso, a Finland based Manufacturing organisation with 20000 employees and revenues of $10.06 billion, Gartner, a United States based Professional Services organisation with 20104 employees and revenues of $5.48 billion, BDO Netherlands, a Netherlands based Banking and Financial Services organisation with 2150 employees and revenues of $530.0 million and many others.
Contact us if you need a completed and verified list of companies using Minit Process Mining, including the breakdown by industry (21 Verticals), Geography (Region, Country, State, City), Company Size (Revenue, Employees, Asset) and related IT Decision Makers, Key Stakeholders, business and technology executives responsible for the software purchases.
The Minit Process Mining customer wins are being incorporated in our Enterprise Applications Buyer Insight and Technographics Customer Database which has over 100 data fields that detail company usage of software systems and their digital transformation initiatives. Apps Run The World wants to become your No. 1 technographic data source!
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| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | SI | Insight |
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BDO Netherlands | Banking and Financial Services | 2150 | $530M | Netherlands | Microsoft | Minit Process Mining | Process Mining | 2019 | n/a |
In 2019, BDO Netherlands implemented Minit Process Mining. The deployment applied Process Mining to client engagements across finance, order to cash and procure to pay processes, and supported advisory work from its 19 offices in the Netherlands.
BDO Netherlands' Analytics team used Minit Process Mining to perform process discovery, variant analysis and conformance checking on transactional datasets. For the auction house engagement the team ingested data from three different datasets to build as is process maps and then compared those maps against BPMN process models to surface deviations between the happy path and actual flows. For a construction client the team combined Minit Process Mining outputs with ERP transaction extracts to decompose complex subprocesses in the OTC cycle.
Operational coverage included Shared Service Centers that provide finance services worldwide for the auction house case, and site level OTC and P2P administration for the construction customer. Business functions impacted were finance, accounts payable, accounts receivable and internal control reviews performed by audit and advisory practitioners.
Governance and workflow restructuring used outputs from Minit Process Mining to identify resource usage issues and anomalous account behavior, prompting clients to inspect user account configurations and purchase order practices. BDO Netherlands compared discovered variants to BPMN models to inform process governance discussions led by the Analytics team and Advisory partners including David Bos and Sander Rurup.
Explicit findings reported by BDO Netherlands included over 2000 process variants with the first 20 variants accounting for less than 30 percent of cases, and more than 200 distinct resources observed in one finance process. The team also found that a variant using purchase orders ran faster, the admin account was used in 20 percent of construction client cases, multiple payments shared identical IDs, bank account changes occurred before and after payments, and Minit Process Mining helped track down nine such problematic cases.
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Gartner | Professional Services | 20104 | $5.5B | United States | Microsoft | Minit Process Mining | Process Mining | 2019 | n/a |
In 2019, Gartner implemented Minit Process Mining to accelerate objective process discovery across data-rich operational workflows. The deployment at Gartner targeted Process Mining use cases within its professional services environment, with an emphasis on visibility into service delivery, finance, and operations. Minit Process Mining was used to construct empirical process models from event log data, surfacing variants and performance characteristics for analysis.
The implementation leveraged core Minit Process Mining capabilities, including automated process discovery, conformance checking, variant analysis, and bottleneck identification, to produce visual process maps and time-based KPIs. The solution ingested event logs from transactional sources and enriched records with business context to enable root cause analysis and process fragment extraction. Configuration focused on process filtering, variant clustering, and SLA oriented metrics to support recurring continuous improvement workflows.
Operational governance emphasized assignment of process owners and formal analytical workflows to validate discovered models and prioritize remediation, with a center of excellence approach used to embed Process Mining into recurring improvement cycles. Gartner's implementation notes huge savings of time and money investments in choosing process mining over traditional methods to discover and model processes, especially for the processes for which data was readily available. Minit Process Mining thereby served as a platform for continuous process monitoring and iterative process redesign across business functions.
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Stora Enso | Manufacturing | 20000 | $10.1B | Finland | Microsoft | Minit Process Mining | Process Mining | 2019 | n/a |
In 2019 Stora Enso deployed Minit Process Mining as a Process Mining solution into its daily operations to increase visibility across core transactional workflows. The vendor was selected for an agile approach, a fast and flat learning curve for business users, responsiveness to co-develop features with the customer, and a clear path to quick payback, all of which influenced adoption decisions.
The initial implementation focused on two robust end to end processes, Purchase To Pay and Order To Cash, using Minit Process Mining to create visual process maps, variant analysis, and conformance checks. The technical start was rapid, with installation completed in up to five days and key users onboarded quickly, and initial positive results began to appear within six months. Functional use cases explicitly included identifying candidates for Robotic Process Automation, reducing process variants across sites, and prompting review and reclassification of customers.
Stora Enso confronted scattered data across numerous ERP systems deployed globally, and the Minit deployment consolidated event level data to produce trusted process insights for dozens of mills and factories across multiple countries. The deployment was used by operational teams and process owners to harmonize execution patterns across sites and to generate actionable findings without reliance on expert level data analysts.
Governance and adoption were centered on empowering business users to interpret process models and drive local process changes, accelerating harmonization and continuous improvement. Outcomes reported by the company include pinpointing RPA opportunities, reduced process variants in factories and mills, and revised customer classification practices, with early payback and measurable adoption within the first six months.
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Communications | 106800 | $14.5B | Canada | Microsoft | Minit Process Mining | Process Mining | 2020 | n/a |
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Buyer Intent: Companies Evaluating Minit Process Mining
ARTW Buyer Intent uncovers actionable customer signals, identifying software buyers actively evaluating Minit Process Mining. Gain ongoing access to real-time prospects and uncover hidden opportunities. Companies Actively Evaluating Minit Process Mining for Process Mining include:
- Dcm Denmark, a Denmark based Distribution organization with 50 Employees
- Fraunhofer, a Germany based Non Profit company with 31877 Employees
- Cemex, a Mexico based Manufacturing organization with 46063 Employees
Discover Software Buyers actively Evaluating Enterprise Applications
| Logo | Company | Industry | Employees | Revenue | Country | Evaluated | ||
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FAQ - APPS RUN THE WORLD Minit Process Mining Coverage
Minit Process Mining is a Process Mining solution from Microsoft.
Companies worldwide use Minit Process Mining, from small firms to large enterprises across 21+ industries.
Organizations such as Telus, Stora Enso, Gartner and BDO Netherlands are recorded users of
Minit Process Mining for Process Mining.
Companies using Minit Process Mining are most concentrated in Communications, Manufacturing and Professional Services, with adoption spanning over 21 industries.
Companies using Minit Process Mining are most concentrated in Canada, Finland and United States, with adoption tracked across 195 countries worldwide. This global distribution highlights the popularity of Minit Process Mining across Americas, EMEA, and APAC.
Companies using Minit Process Mining range from small businesses with 0-100 employees - 0%, to mid-sized firms with 101-1,000 employees - 0%, large organizations with 1,001-10,000 employees - 25%, and global enterprises with 10,000+ employees - 75%.
Customers of Minit Process Mining include firms across all revenue levels — from $0-100M, to $101M-$1B, $1B-$10B, and $10B+ global corporations.
Contact APPS RUN THE WORLD to access the full verified Minit Process Mining customer database with detailed Firmographics such as industry, geography, revenue, and employee breakdowns as well as key decision makers in charge of Process Mining.