List of Apromore Enterprise Edition Customers
Apromore
4C/700 Swanston Street Carlton,
Melbourne, 3053, VIC,
Australia
Melbourne, 3053, VIC,
Australia
61 4 6623-8625
Professional Services
100
$12M
Since 2010, our global team of researchers has been studying Apromore Enterprise Edition 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 Apromore Enterprise Edition 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 Apromore Enterprise Edition for Process Mining include: Intesa Sanpaolo, a Italy based Banking and Financial Services organisation with 93832 employees and revenues of $28.86 billion, UnipolSai, a Italy based Insurance organisation with 11410 employees and revenues of $16.60 billion, University of Melbourne, a Australia based Education organisation with 13758 employees and revenues of $2.07 billion, Inail, a Italy based Government organisation with 9261 employees and revenues of $1.00 billion, Basil and Vine Burpengary, a Australia based Retail organisation with 50 employees and revenues of $5.0 million and many others.
Contact us if you need a completed and verified list of companies using Apromore Enterprise Edition, 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 Apromore Enterprise Edition 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 | Insight Source |
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Basil and Vine Burpengary | Retail | 50 | $5M | Australia | Apromore | Apromore Enterprise Edition | Process Mining | 2019 | n/a | In 2019, Basil and Vine Burpengary deployed Apromore Enterprise Edition for Process Mining to evaluate existing workflows and redesign operations ahead of an expected doubling in customer demand. The engagement ran December 2019 to March 2020 and was executed from the Burpengary, Queensland retail site, with a business process analyst leading the work across store operations and IT support for point of sale processes. The Apromore Enterprise Edition implementation focused on process discovery and bottleneck analysis using process mining techniques, followed by creation of To-Be process models and structured process documentation. Modeling and analysis were augmented with the Business Information Centre tool from GBTEC AG to produce formal process models and to translate process mining findings into actionable process improvement designs. Governance and rollout were driven by early-stage change management, with the analyst directing subject matter experts and process owners and documenting business requirements for handoff. Documented requirements were provided to the internal IT support team to develop or configure the point of sale system to align with redesigned processes, and the project emphasized owner accountability and modeled To-Be workflows to guide implementation. | |
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Inail | Government | 9261 | $1.0B | Italy | Apromore | Apromore Enterprise Edition | Process Mining | 2021 | n/a | In 2021, INAIL deployed Apromore Enterprise Edition as a Process Mining solution to operationalize process mining across its organization and accelerate a prior digital customer centricity initiative. The program built on a 2018 decision to focus on process transparency and was launched with HSPI as a consulting partner, beginning with deep dives into IT operations to validate techniques and data extraction approaches. The initial deployment targeted analytically tractable processes as a proving ground, then expanded to high complexity workflows such as the procure to pay chain. The rollout referenced the organization structure of 21 Central Business Units and used event logs from core systems to instrument 350 plus business processes. Apromore Enterprise Edition was configured to support automated process model discovery, process performance metric analysis, rework and bottleneck detection, and process variant analysis. Apromore Enterprise Edition also served as the foundation for INAIL's Process Control Room, a continuous monitoring framework that surfaced E2E and subprocess level indicators for managers and analysts. The implementation emphasized data preparation tasks including extracting event logs, deriving case identifiers, filtering by geography and time horizon, and investigating anomalies before analysis. Configuration work focused on providing role based access for analysts and business managers to interact with discovered models and drill into variant and bottleneck views. Integrations were explicitly planned and implemented with INAIL's data lake to create a streamlined analysis pipeline, and custom dashboards were built on top of PowerBI as part of the Process Control Room visualization layer. The program included technical work to ingest contact center ticketing and procure to pay transaction traces, enabling cross functional visibility across IT operations, procurement, and customer service. Apromore outputs were used to surface candidate areas for robotic process automation, and a joint program was launched to tighten RPA opportunities with process mining insights. Data quality remediation and ongoing log curation were integral to sustaining the feed into Apromore Enterprise Edition. Governance was established to operationalize process mining as a strategic asset, with a process control framework that enabled continuous monitoring and manager led interventions. The deployment identified specific compliance deviations in purchase limits within procure to pay and highlighted subprocess level inefficiencies that were not visible at the E2E aggregate level. Outcomes explicitly cited by INAIL include reduced procure to pay waiting times, elimination of identified non compliant cases, extensive time savings in process analysis, and a live Process Control Room for real time oversight. The work also revealed risks such as improperly migrated records that required remediation to prevent future exceptions, reinforcing the need for sustained governance and data stewardship. | |
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Intesa Sanpaolo | Banking and Financial Services | 93832 | $28.9B | Italy | Apromore | Apromore Enterprise Edition | Process Mining | 2019 | n/a | In 2019 Intesa Sanpaolo implemented Apromore Enterprise Edition. The deployment aligned with Apps Category . Apromore Enterprise Edition was used to enable in-depth and precise process analyses, allowing teams to perform process discovery, conformance checking and analytical workflows across finance operations. The platform was coupled with other open source software to extend analytic capabilities while containing costs and implementation effort, and configuration emphasized in-house administration to retain control of the platform. Operational uptake began within the IT Department Finance: Treasury and FX&MM, with capabilities built to deliver value for the business and for the whole organization. The University of Melbourne is cited as a trusted partner providing advisory support, which the team used to mitigate risks commonly associated with open source deployments. Governance and rollout prioritized capability development in the process mining discipline, internal platform management, and constrained cost and effort during adoption. Apromore Enterprise Edition provided the functional modules and process mining workflows needed to institutionalize continuous process analysis within finance and related business functions. | |
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Professional Services | 50 | $5M | Italy | Apromore | Apromore Enterprise Edition | Process Mining | 2021 | n/a |
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Professional Services | 5 | $1M | Italy | Apromore | Apromore Enterprise Edition | Process Mining | 2019 | n/a |
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Insurance | 11410 | $16.6B | Italy | Apromore | Apromore Enterprise Edition | Process Mining | 2019 | n/a |
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Education | 13758 | $2.1B | Australia | Apromore | Apromore Enterprise Edition | Process Mining | 2021 | n/a |
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Buyer Intent: Companies Evaluating Apromore Enterprise Edition
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FAQ - APPS RUN THE WORLD Apromore Enterprise Edition Coverage
Apromore Enterprise Edition is a Process Mining solution from Apromore.
Companies worldwide use Apromore Enterprise Edition, from small firms to large enterprises across 21+ industries.
Organizations such as Intesa Sanpaolo, UnipolSai, University of Melbourne, Inail and Basil and Vine Burpengary are recorded users of
Apromore Enterprise Edition for Process Mining.
Companies using Apromore Enterprise Edition are most concentrated in Banking and Financial Services, Insurance and Education, with adoption spanning over 21 industries.
Companies using Apromore Enterprise Edition are most concentrated in Italy and Australia, with adoption tracked across 195 countries worldwide. This global distribution highlights the popularity of Apromore Enterprise Edition across Americas, EMEA, and APAC.
Companies using Apromore Enterprise Edition range from small businesses with 0-100 employees - 42.86%, to mid-sized firms with 101-1,000 employees - 0%, large organizations with 1,001-10,000 employees - 14.29%, and global enterprises with 10,000+ employees - 42.86%.
Customers of Apromore Enterprise Edition 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 Apromore Enterprise Edition customer database with detailed Firmographics such as industry, geography, revenue, and employee breakdowns as well as key decision makers in charge of Process Mining.