Ministry of Agriculture Lithuania Technographics
Discover the latest software purchases and digital transformation initiatives being undertaken by Ministry of Agriculture Lithuania and its business and technology executives. Each quarter our research team identifies on-prem and cloud applications that are being used by the 291 Ministry of Agriculture Lithuania employees from the public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources.
During our research, we have identified that Ministry of Agriculture Lithuania has purchased the following applications: Bonita Process Mining for Process Mining in 2016 and the related IT decision-makers and key stakeholders.
Our database provides customer insight and contextual information on which enterprise applications and software systems Ministry of Agriculture Lithuania is running and its propensity to invest more and deepen its relationship with Bonitasoft 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 Ministry of Agriculture Lithuania revenues, which have grown to $54.0 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 Ministry of Agriculture Lithuania 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.
Analytics and BI
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Bonitasoft | Legacy | Bonita Process Mining | Process Mining | Analytics and BI | INNTEC | 2016 | 2016 |
In 2016 the Ministry of Agriculture Lithuania implemented Bonita Process Mining from Bonitasoft with INNTEC as the integration partner to speed up business processes and eliminate data duplication and mishandling, deploying a Process Mining solution to orchestrate e-service workflows and form-driven human tasks. The Bonita Process Mining deployment established a single access point to approximately 30 e-services, supporting a design capacity of 10 000 active user sessions and processing more than 650 000 e-services per year, with users able to access multiple institution services using a single account and a centralized data model to keep records current and consistent.
INNTEC configured the Bonita Process Mining implementation around easy-to-use online forms and automated process flows, implementing complex backend handling such as particular starting conditions, dynamic form fields that appear or change based on initial inputs and integration responses, and multilayered validation logic for entered data. Functional capabilities implemented include human task management, online form orchestration, conditional routing, and a GIS-enabled form that exposes geographic information system functionality for online entry, compilation, and management of spatial data.
The technical architecture combined Bonita Process Mining with a Java stack and integration middleware, using Apache Wicket for web UI components, Apache CXF for services, Google Guice and Apache Maven for modularity and build management, Oracle DB and Oracle Glassfish AS for data and application hosting, Talend ESB for integration orchestration, SpagoBI for reporting, and an ESRI ArcGIS server for GIS services. This integrated architecture positioned Bonita Process Mining as the orchestration layer connecting backend services, form UIs, geographic services, and reporting, enabling synchronous population of form fields from upstream systems and coordinated data validation.
Governance and rollout were driven by INNTEC after a vendor selection process that favored Bonita over jBPM, Activiti, Intalio, and Oracle BPM, with implementation practices focused on centralized process orchestration, rule-based form validation, and controlled integration points to reduce data mishandling. Outcomes explicitly reported include automated business processes, online forms for human tasks, and a unified access model that delivers accurate, up-to-date data across the Ministry’s e-services.
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