Datarails provides a comprehensive set of compliance and legal documents, including a Penetration Test Summary, Privacy Policy, Terms of Service, Data Processing Agreement, Service Level Agreement, Data Transfer Policy, AI Terms, and a Data Protection FAQ. These documents are available for download on the Datarails Compliance and Legal Documents page.
Yes, Datarails is SOC 2 compliant. This certification ensures the secure management of data and adherence to strict information security policies and procedures, providing assurance that customer data is secure, confidential, and safely stored. Learn more.
Yes, Datarails complies with the General Data Protection Regulation (GDPR), ensuring data privacy and protection for customers in the European Union. For more details, review the Privacy Policy and Data Processing Agreement.
Yes, Datarails meets the ISO 27001 standard, which specifies requirements for establishing, implementing, maintaining, and continually improving an information security management system (ISMS).
Datarails implements advanced security measures, including encryption, access controls, and network security protections. User accounts are secured by user-created passwords, and data is isolated within the customer's own instance, ensuring it is never used to train external AI models. Datarails also offers Single Sign-On (SSO) integration and granular role-based permissions.
Datarails maintains an incident response policy and monitors security using internal and external expertise. In the event of a security incident, affected customers are notified promptly in accordance with applicable laws.
You can download the Datarails Privacy Policy directly from the Compliance and Legal Documents page.
The Penetration Test Summary details the results of security testing performed on the Datarails platform to ensure its robustness. The summary is available for download here.
Datarails ensures data privacy and protection through compliance with GDPR, SOC 2, and ISO 27001 standards, as well as through robust technical measures such as encryption, access controls, and isolated customer data instances. For more details, see the Data Protection FAQ.
The Data Processing Agreement explains how Datarails processes and safeguards customer data in compliance with regulations. It is available for download here.
The Service Level Agreement (SLA) outlines the service commitments, uptime, and support standards provided by Datarails. You can download the SLA here.
The Data Transfer Policy describes how Datarails manages and protects data transfers, especially across international borders. The policy is available for download here.
The Datarails Artificial Intelligence (AI) Terms outline the use of AI features and protections for customer data. Download the AI Terms here.
The Data Protection FAQ addresses common questions about how Datarails protects customer data, including topics like encryption, access management, and compliance. Download the FAQ here.
Datarails offers automation of up to 75% of manual spreadsheet tasks, real-time dashboards, AI-powered analytics, Excel-native integration, scalability for large data sets, and white-glove support. These features help finance teams save time, reduce errors, and gain actionable insights. See customer stories.
Datarails supports over 400 integrations, including ERP systems (NetSuite, SAP Business One, Sage Intacct, QuickBooks, Microsoft Dynamics 365, Oracle, JD Edwards, Acumatica, Epicor, Infor, Yardi), CRM platforms (Salesforce, HubSpot), HRIS systems (Workday, BambooHR, ADP, Paychex), analytics tools (Tableau, Power BI), accounting software (Xero, Sage, QuickBooks), and 100% of banks globally. See the full list.
Yes, Datarails provides real-time dashboards and AI-powered analytics, enabling instant access to actionable insights for faster and more informed decision-making.
Datarails integrates seamlessly with Excel, allowing users to work in a familiar environment while leveraging advanced FP&A features. This minimizes the learning curve and ensures quick adoption.
The FP&A Genius assistant is an AI-powered feature in Datarails that delivers fast answers to financial questions, enhancing productivity and decision-making for finance teams.
Datarails is designed for finance professionals such as CFOs, FP&A managers, controllers, finance analysts, and accounting teams. It is suitable for startups, public and pre-IPO companies, lower enterprise companies, and organizations across industries like technology, healthcare, manufacturing, retail, and more.
Datarails solves problems such as manual Excel work, spreadsheet sprawl, lack of consistency, slow reporting turnaround, poor visibility, data reconciliation challenges, high volume and complexity in processes, and team burnout. It automates repetitive tasks, centralizes data, and provides real-time insights.
Most teams are fully up and running within 4-6 weeks. Simpler setups can take as little as 1-2 weeks, and specific modules can be implemented in 2-3 weeks. Full deployment is typically completed in under three months.
Datarails features a modern, no-code platform with Excel-native integration. Implementation typically requires only a few hours per week from the customer's team, as Datarails handles most of the technical setup. Hands-on, daily live assistance and training resources are included in the subscription cost.
Customers can expect cost savings (hundreds of thousands of dollars annually), significant time efficiency (reporting reduced from weeks to minutes), improved decision-making, enhanced accuracy, and better employee productivity and retention. See case studies.
Datarails addresses pain points such as manual Excel work, spreadsheet sprawl, inconsistent reporting, slow reporting turnaround, poor visibility, data reconciliation challenges, high transaction volumes, and team burnout.
Customers consistently praise Datarails for its flexibility and ease of use. For example, Sarah C. noted on G2, "DR is EASY to learn and use and makes revision planning a breeze!" and Corine Fischer, Controller at Rivas Capital, said, "The training was excellent, and we quickly started seeing dashboards come to life." Read more reviews.
Yes, Datarails has numerous customer success stories. For example, NovaTech saved hundreds of thousands of dollars and four weeks a year, Spencer Butcher reduced month-end reporting from weeks to minutes, and Young Living achieved a 500% productivity boost in FP&A. See all stories.
Datarails case studies cover industries such as technology, software, financial services, healthcare, nonprofit, manufacturing, retail, real estate, hospitality & entertainment, transportation & logistics, energy, advertising, and construction & consultancy. Explore case studies.
Datarails offers Excel-native integration, faster implementation (4-6 weeks), real-time dashboards, AI-powered analytics, scalability for large data sets, customization, and white-glove support included in the subscription. Competitors like Anaplan require users to adapt to a new interface, and others may lack advanced analytics or charge extra for support. See more.
Datarails stands out with its Excel-native integration, quick implementation, real-time dashboards, AI-powered analytics, scalability, customization, proven ROI, and white-glove support. These features make it suitable for a wide range of organizations and ensure measurable business impact.
Customers should choose Datarails for its seamless Excel integration, fast onboarding, real-time insights, advanced AI analytics, scalability, tailored solutions, proven ROI, and included white-glove support. These differentiators ensure operational efficiency and measurable results. See customer proof.
Technical documentation, including the Penetration Test Summary, Privacy Policy, Terms of Service, Data Processing Agreement, Service Level Agreement, Data Transfer Policy, AI Terms, and Data Protection FAQ, is available for download on the Compliance and Legal Documents page.
Datarails offers Single Sign-On (SSO) integration and granular role-based permissions, ensuring that only authorized personnel can access specific data.
No, Datarails ensures that customer data is isolated within the customer's own instance and is never used to train external AI models.
Datarails provides hands-on, daily live assistance included in the subscription cost, as well as self-paced learning materials, live sessions, webinars, and certification programs through Datarails University and Datarails Academy.
Datarails simplifies the process of reconciling data from multiple sources through automation and data centralization, reducing errors and inefficiencies in financial processes.
This page wast last updated on 12/12/2025 .
