AI Buyer Insights:

Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

Michelin, an e2open customer evaluated Oracle Transportation Management

Wayfair, a Korber HighJump WMS customer just evaluated Manhattan WMS

Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

Swedbank, a Temenos T24 customer evaluated Oracle Flexcube

Citigroup, a VestmarkONE customer evaluated BlackRock Aladdin Wealth

Moog, an UKG AutoTime customer evaluated Workday Time and Attendance

Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

Michelin, an e2open customer evaluated Oracle Transportation Management

Wayfair, a Korber HighJump WMS customer just evaluated Manhattan WMS

Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

Swedbank, a Temenos T24 customer evaluated Oracle Flexcube

Citigroup, a VestmarkONE customer evaluated BlackRock Aladdin Wealth

Moog, an UKG AutoTime customer evaluated Workday Time and Attendance

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.
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.
Dinero Collaboration
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Google 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.
Dinero CRM
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Customer Experience CRM 2016 2016
Customer Support CRM 2013 2013
Marketing Automation CRM 2014 2014
Marketing Automation CRM 2018 2018
Dinero ITSM
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Application Performance Management ITSM 2015 2015
Dinero PaaS
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Transactional Email PaaS 2014 2014
Dinero IaaS
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Application Hosting and Computing Services IaaS 2020 2020
Application Hosting and Computing Services IaaS 2021 2021
Content Delivery Network IaaS 2014 2014
Content Delivery Network IaaS 2014 2014

IT Decision Makers and Key Stakeholders at Dinero

First Name Last Name Title Function Department Email Phone
Chief Technical Officer CXO IT
CEO CXO Finance

Apps Being Evaluated by Dinero Executives

APPS RUN THE WORLD tracks software evaluation trends across 2 million companies worldwide, including buyer insights from Dinero IT executives and key decision makers. As part of ARTW Buyer Intent and technographics insights, these findings provide useful visibility into the Dinero digital transformation priorities and AI adoption trends.
Date Company Status Vendor Product Category Market
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FAQ - APPS RUN THE WORLD Dinero Technographics
Dinero is a Professional services organization based in Denmark, with around 100 employees and annual revenues of $10.0 million.
Dinero operates a diverse technology stack with applications such as Microsoft Azure Machine Learning, Tableau and Google Workspace (Formerly Google G-Suite), covering areas like ML and Data Science Platforms, Analytics and BI and Collaboration.
Dinero has invested in cloud applications and AI-driven platforms to optimize efficiency and growth, collaborating with vendors such as Microsoft, Tableau Software and Google.
Dinero recently adopted applications including Google Cloud Platform (GCP) in 2021, Microsoft Azure Cloud Services in 2020 and Tableau in 2018, highlighting its ongoing modernization strategy.
APPS RUN THE WORLD maintains an up-to-date database of Dinero’s key decision makers and IT executives, available to Premium subscribers.
Our research team continuously updates Dinero’s profile with verified software purchases, vendor relationships, and digital initiatives identified from public and proprietary sources.
Subscribe to APPS RUN THE WORLD to access the complete Dinero technographics profile, including detailed breakdowns by category, vendor, and IT decision makers.