Kobenhavn, 1620,
Denmark
Dinero Technographics
Dinero Technographics, Software Purchases, AI and Digital Transformation Initiatives
Discover the latest software purchases and digital transformation initiatives being undertaken by Dinero and its business and technology executives. Each quarter our research team identifies on-prem and cloud applications that are being used by the 100 Dinero employees from the public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources.
During our research, we have identified that Dinero has purchased the following applications: Microsoft Azure Machine Learning for ML and Data Science Platforms in 2016, Tableau for Analytics and BI in 2018, Google Workspace (Formerly Google G-Suite) for Collaboration in 2017 and the related IT decision-makers and key stakeholders.
Our database provides customer insight and contextual information on which enterprise applications and software systems Dinero is running and its propensity to invest more and deepen its relationship with Microsoft , Tableau Software , Google 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 Dinero revenues, which have grown to $10.0 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 Dinero 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.
Dinero Tech Stack and Enterprise Applications
Dinero AI Development
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Microsoft | Legacy | Microsoft Azure Machine Learning | ML and Data Science Platforms | AI Development | n/a | 2016 | 2017 |
In 2016, Dinero implemented Microsoft Azure Machine Learning to automate invoice categorization within its SaaS accounting platform. Dinero uses Microsoft Azure Machine Learning, an ML and Data Science Platforms solution, to analyze OCR extracted invoice data and assign the correct accounting and VAT treatments as part of the customer upload experience. The deployment is embedded in Dinero's web rich client and its multiplatform mobile app, enabling classification to occur during the invoice photo upload flow for Danish small business customers.
The implementation couples optical character recognition and machine learning, with OCR extracting totals, dates, and VAT and Microsoft Azure Machine Learning applying classification algorithms to map invoice items to the appropriate ledger accounts. Functional capabilities implemented include automated invoice classification, VAT identification, and automated posting triggers into Dinero's transaction processing layer, supporting bookkeeping and tax compliance workflows tailored to Denmark's regulatory requirements. The narrative emphasizes Microsoft Azure Machine Learning as the core ML component within this processing pipeline.
Integrations are centered on the OCR pipeline, the SaaS transaction processing engine, and the mobile and web front ends, so model inference runs either synchronously during upload or as an asynchronous back end job. Operational scope covers customer-facing bookkeeping processes for small businesses across Denmark, and business functions impacted include bookkeeping, accounts payable processing, and tax compliance. Governance and rollout concentrated on embedding automated classification into existing upload workflows and instituting ongoing model management to maintain classification accuracy.
The implementation simplifies and automates tedious bookkeeping tasks by allowing customers to submit invoices via photo upload, which reduces manual data entry and diminishes room for human error in invoice processing. Microsoft Azure Machine Learning is presented as the machine learning platform driving these classification and automation capabilities within Dinero's ML and Data Science Platforms stack.
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Dinero Analytics and BI
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Tableau Software | Legacy | Tableau | Analytics and BI | Analytics and BI | n/a | 2018 | 2018 |
In 2018 Dinero implemented Tableau to extend its Analytics and BI capabilities onto its public website. The implementation places Tableau dashboards and visualizations directly on dinero.dk, enabling interactive, web‑embedded reporting for external audiences and customers.
The deployment emphasizes embedded analytics and visualization authoring, with a catalog of published workbooks and dashboards exposed through the website. Configuration work focused on dashboard design, publishing workflows, scheduled data refresh patterns, and viewer level access controls to manage which visualizations are public versus restricted.
Integration is accomplished through web embedding mechanisms supported by Tableau and the company website, delivering interactive charts and filters within the site experience. Governance centered on content publishing processes and role based access for dashboard authors and viewers, aligning Analytics and BI deliverables with external customer communications and site content management.
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Dinero Collaboration
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Legacy | Google Workspace (Formerly Google G-Suite) | Collaboration | Collaboration | n/a | 2017 | 2017 |
In 2017, Dinero implemented Google Workspace (Formerly Google G-Suite). The cloud-hosted deployment is provisioned for about 100 employees and is referenced on Dinero's website, serving as the companywide Collaboration platform in Denmark.
The implementation leverages Google Workspace (Formerly Google G-Suite) modules including Gmail, Drive, Docs, Sheets, Calendar, and Meet, with centralized administration through the Google Admin console for account provisioning, group management, and email domain configuration. Operational ownership sits with IT administration and designated business function owners, supporting corporate communications, document collaboration, scheduling, and secure file sharing, with governance enforced through admin controls and standard user provisioning and group lifecycle workflows.
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Dinero CRM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
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Customer Experience | CRM |
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2016 | 2016 |
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Customer Support | CRM |
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2013 | 2013 |
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Marketing Automation | CRM |
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2014 | 2014 |
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Marketing Automation | CRM |
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2018 | 2018 |
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Dinero ITSM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
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Application Performance Management | ITSM |
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2015 | 2015 |
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Dinero PaaS
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
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Transactional Email | PaaS |
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2014 | 2014 |
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Dinero IaaS
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
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Application Hosting and Computing Services | IaaS |
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2020 | 2020 |
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Application Hosting and Computing Services | IaaS |
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2021 | 2021 |
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Content Delivery Network | IaaS |
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2014 | 2014 |
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Content Delivery Network | IaaS |
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2014 | 2014 |
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IT Decision Makers and Key Stakeholders at Dinero
| First Name | Last Name | Title | Function | Department | Phone | |
|---|---|---|---|---|---|---|
| Chief Technical Officer | CXO | IT | ||||
| CEO | CXO | Finance |
Apps Being Evaluated by Dinero Executives
| Date | Company | Status | Vendor | Product | Category | Market |
|---|---|---|---|---|---|---|
| No data found | ||||||