Frequently Asked Questions

Features & Capabilities

How does Datarails help finance teams consolidate data?

Datarails automates the consolidation of financial and operational data from multiple sources, allowing finance teams to present all departmental financials in a single, unified view within Excel. This eliminates manual effort and reduces errors, as experienced by CloudPay, whose team can now pull in various data feeds and present them in one view. Source

What are the main features of Datarails?

Datarails offers automated data consolidation, real-time dashboards, budgeting and forecasting, scenario modeling, financial reporting, Excel-native integration, AI-powered analytics, and advanced data visualization. These features enable finance teams to streamline processes and gain actionable insights. Source

Does Datarails support Excel integration?

Yes, Datarails is designed to work natively with Excel, allowing users to continue using their familiar spreadsheets and financial models while benefiting from automation and advanced FP&A features. Source

What types of dashboards does Datarails provide?

Datarails offers interactive, real-time dashboards that are intuitive and easy to build. These dashboards allow stakeholders to visualize data, apply filters, and view personalized executive summaries, improving engagement and decision-making. Source

Can Datarails automate budgeting and reporting processes?

Yes, Datarails automates budgeting and reporting, reducing manual work and errors. For example, CloudPay reduced the time required for budgeting and month-end reporting by 40% after implementing Datarails. Source

Does Datarails offer scenario modeling?

Yes, Datarails provides scenario modeling capabilities, allowing users to analyze different business scenarios and their potential impact on financial outcomes. Source

What AI capabilities does Datarails include?

Datarails features AI-powered analytics, including the FP&A Genius assistant, which delivers fast answers to financial questions and automates story creation for enhanced productivity and decision-making. Source

How does Datarails improve data accuracy?

Datarails centralizes financial data and tracks every change, making previous versions easily accessible and reducing the risk of errors. This ensures consistency and reliability in financial reporting. Source

What integrations does Datarails support?

Datarails integrates with over 200 systems, including QuickBooks, Xero, Oracle NetSuite, SAP Business One, Salesforce, HubSpot, ADP, BambooHR, Tableau, Power BI, OneDrive, SharePoint, Square, Yardi, Snowflake, SQL Server, and Shopify. For a full list, visit Datarails Integrations.

Does Datarails offer an API?

Yes, Datarails provides the Data Gateway Service (DGS) API, which enables users to upload files such as CSV or Excel to the platform. For more details, refer to the DGS API Documentation.

Use Cases & Benefits

How did CloudPay benefit from using Datarails?

CloudPay reduced the time spent on budgeting and month-end reporting by 40%, improved data accuracy and visibility, and increased board confidence in financial numbers, leading to approval for a million payroll engine investment. Source

What business impact can customers expect from Datarails?

Customers can expect up to 75% less manual spreadsheet work, saving 50 hours of labor per month, a 4x increase in efficiency, improved decision-making, cost savings, and enhanced data accuracy. Source

Who can benefit from using Datarails?

Datarails is designed for finance professionals, including FP&A analysts, CFOs, controllers, and finance managers at small, mid-market, and enterprise companies, especially those with complex financial processes or high invoicing volumes. Source

What industries are represented in Datarails case studies?

Datarails case studies span payroll services, construction consultancy, nonprofit, technology, healthcare, manufacturing, real estate, retail, entertainment, logistics, senior living, and advertising. Source

Can you share specific customer success stories?

Yes, examples include NovaTech saving hundreds of thousands of dollars and four weeks a year, Butternut Box scaling up operations, Spencer Butcher reducing month-end reporting from weeks to minutes, and Young Living achieving a 500% productivity boost. Source

How does Datarails improve stakeholder engagement in financial processes?

Datarails' interactive dashboards and permission settings allow stakeholders to view personalized data securely, making it easier to engage department heads and management in the budgeting process. Source

What problems does Datarails solve for finance teams?

Datarails addresses manual Excel work, spreadsheet sprawl, slow reporting turnaround, lack of consistency, poor visibility, slow access to insights, data reconciliation challenges, and high-volume process complexity. Source

How does Datarails help with data reconciliation?

Datarails centralizes financial information, providing a single source of truth and making it easier for controllers and finance teams to reconcile data and resolve discrepancies. Source

How does Datarails support companies with high invoicing volumes?

Datarails automates and streamlines financial processes for organizations with high invoicing volumes or frequent changes in customer service tiers, reducing manual effort and errors. Source

Implementation & Ease of Use

How long does it take to implement Datarails?

Most teams are fully up and running within 4-6 weeks. Simpler setups can take as little as 1-2 weeks, and specific modules like the Financial Statements Module can be implemented in just 2 weeks. Source

Is Datarails easy to use?

Yes, Datarails is highly regarded for its intuitive design and ease of use. Customers report that it is user-friendly, flexible, and accessible even for non-technical users, with no need for a dedicated system administrator. Source

What training resources are available for Datarails?

Customers have access to self-paced learning materials, live sessions, webinars, and certification programs through Datarails University and Datarails Academy. Source

Does Datarails require IT resources for setup?

No, Datarails features a modern, no-code setup process, eliminating the need for extensive technical resources or IT assistance. The Datarails team handles most of the technical setup. Source

Is there dedicated support during implementation?

Yes, Datarails provides a dedicated customer success manager and white-glove support to ensure hands-on assistance throughout the implementation process. Source

What technical documentation is available for Datarails?

Prospects can access Datarails' Technical and Architectural Overview document for detailed insights into the platform's framework and architecture. Download here.

Security & Compliance

Is Datarails SOC 2 compliant?

Yes, Datarails is SOC 2 compliant, adhering to strict information security policies and procedures based on AICPA's five Trust Service Principles: Security, Availability, Processing Integrity, Confidentiality, and Privacy. Source

Does Datarails support GDPR and CCPA compliance?

Yes, Datarails complies with global data protection regulations, including GDPR and CCPA, ensuring responsible and transparent handling of customer data. Source

How does Datarails ensure data privacy and isolation?

Customer data is kept within their own instance and is never used to train external AI models, ensuring privacy and security. Source

What access management features does Datarails offer?

Datarails provides SSO integration and granular role-based permissions, allowing customers to control who can access specific data. Source

Can customers manage and delete their data in Datarails?

Yes, customers can manage and delete data as needed, ensuring compliance with data retention policies. Source

What is Datarails' incident response policy?

Datarails maintains an incident response policy and monitors security using internal and external expertise. Customers are promptly notified in compliance with applicable laws in the event of a data breach. Source

How does Datarails train its personnel on security and compliance?

All personnel undergo periodic training on information security and GDPR compliance and are bound by strict confidentiality duties. Source

Competition & Comparison

How does Datarails compare to other FP&A solutions?

Datarails stands out for its Excel-native integration, real-time dashboards, AI-powered analytics, centralized data management, and quick implementation. Unlike competitors such as Anaplan and Planful, Datarails does not require users to abandon Excel, and offers faster onboarding and full drill-down capabilities. Source

Why choose Datarails over alternatives?

Datarails offers unique advantages such as seamless Excel integration, real-time dashboards, AI-powered analytics, centralized data management, and proven business impact through customer success stories. These features make it a preferred choice for finance teams seeking efficiency and actionable insights. Source

What are the advantages of Datarails for different user segments?

CFOs gain real-time dashboards and AI-powered analytics for strategic insights; controllers benefit from centralized financial data; FP&A managers save time and reduce errors with automation; finance professionals enjoy Excel-native integration for faster, more accurate reporting. Source

How does Datarails address common pain points compared to competitors?

Datarails eliminates manual Excel work, spreadsheet sprawl, and slow reporting by automating processes and centralizing data. Its Excel-native approach and real-time dashboards provide faster, more accurate insights than traditional FP&A tools. Source

What customer feedback has Datarails received regarding ease of use?

Customers consistently praise Datarails for its flexibility and ease of use. Testimonials highlight its intuitive design, user-friendliness, and the ability to learn and use the platform quickly without technical expertise. Source

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When was this page last updated?

This page wast last updated on 12/12/2025 .

Financial services

How Datarails Gives Payroll Provider CloudPay More Confidence in Its Numbers

CloudPay uses Datarails to consolidate different types of data and reduce time spent on budgeting and reporting. The improved accuracy and visibility has increased confidence in the numbers and the willingness to invest in growth.

Day 1 ROI Built real-life business processes from the outset of implementation
Excel-native Made it easy for all users to learn and adopt quickly
40% reduction In time spent on budgeting and reporting

CloudPay is a fast-growing online payroll company that provides a unified platform for global employee pay processes at over 1,500 multinational companies, including Intuit and S&P Global.

The pay processes include payroll, payments, and on-demand pay, and the CloudPay platform is available in over 130 countries.

Headquartered in England, CloudPay has offices in about a dozen countries and recently announced a partnership with Visa to reduce payroll payment cycles from two or three days to a few seconds.

CloudPay uses Datarails to consolidate different types of data and reduce time spent on budgeting and reporting. The improved accuracy and visibility have increased confidence in the numbers and the willingness to invest in growth.

The implementation was extremely efficient as you start to build out real-life business processes from the outset, which means you get a return on investment from Day 1.

Craig MorrowHead of FP&A

The problem: reporting and budgeting took too long and were very manual

Before using Datarails, reporting and budgeting processes were time-consuming at CloudPay, and the management and board lacked visibility and confidence in the financials.

That’s why when Craig Morrow became head of FP&A at CloudPay, his top priority was to upgrade the finance team’s technology as soon as possible. 

The structure of the company was changing rapidly, and offline financial reporting methods just couldn’t keep up. There was no easy way to keep track of CloudPay’s financial data, and no time to compare budgets to actuals or create forecasts. Consolidating data inputs from department heads spanning different time zones and foreign currencies was a painfully long process that preceded each financial reporting and budgeting period. 

The solution: bring together different types of data fast, for “ROI from Day 1”

Craig needed a solution that could bring together different types of data to streamline each financial process – and he needed it fast.

“It came down to time and how quickly we could get users on board and signed in,” he said. “We had about six weeks to make a decision, start implementing the solution, and then start to carry out the budget as well.”

Datarails met those needs and had the added benefit of enabling the finance team to continue using Excel.

“I compared other solutions too, but I didn’t really want to look at them anyway because most of them were all about replacing Excel instead of enhancing Excel,” said Craig. “It’s almost impossible to replace Excel in an organization such as CloudPay. The beauty of Datarails is that when I was training our budget holders on the system, everything looked familiar to them because they’re used to using Excel.”

Datarails’ automated data consolidation makes it easy for Morrow to present the financials for each department in a single, simple view – without the manual effort that such consolidation would normally require. 

“The beauty of Datarails in terms of consolidation is we were able to pull in various data feeds from different systems and present them in one view within Excel,” Craig said.

The ease of use also made it easy for the company to adopt Datarails – and provided ROI from Day 1.

“The functionality within the solution is exactly what any FP&A professional should be looking for in a solution,” said Craig. “The implementation was extremely efficient as you start to build out real-life business processes from the outset, which means you get a return on investment from Day 1.”

Having all the financial and operational information in one place also reduces the risk of inaccurate reporting, both by exposing discrepancies in data and by providing the information necessary to account for them.

Before using Datarails, the finance team had to attempt to sort out such discrepancies by asking the department heads, and they did not necessarily have the data needed to close the gaps. Now, with a click of a button, the finance or operations team can easily drill down into the consolidated data to get the information needed.

The beauty of Datarails in terms of consolidation is we were able to pull in various data feeds from different systems and present them in one view within Excel.

Reducing Time Spent on Budgeting and Reporting by 40%

Before Datarails, CloudPay struggled to stay in control over the distribution of budget files. There were many different versions and different formats, often riddled with errors. Any changes that Morrow had to address, such as resolving an error or updating a number, needed to be done manually on over a dozen spreadsheets, which were then to be manually shared with each department head.

“The shareability of the data was very, very manual. That’s one of the biggest pain points I recall,” said Craig. “The previous years’ budget seasons are something not to be remembered. Similar horror stories as every other business based on Excel. It was really difficult to find any sort of information quickly.”

Datarails has put an end to this problem. Now CloudPay’s budget is managed on one Excel spreadsheet, which is connected online to the budget files used by each department head – so the finance team can make a change once, and it will automatically update all related files. And vice versa: Morrow will see any updated financial numbers from the department heads as his spreadsheet updates automatically. 

Datarails tracks every change and makes previous versions easily accessible, without the need to manually make changes to file names and keep previous versions saved to a local drive. 

Automating that manual work has reduced the time it takes CloudPay to complete its budgeting and month-end reporting processes by 40 percent.

“My experience with Datarails has been first-class,” said Craig. “I have assisted with a seamless integration for budgeting purposes and have now rolled out the solution for month-end reporting. In both scenarios, I have been able to reduce the time required for completion by around 40%.”

When I was training our budget holders on the system, everything looked familiar to them because they’re used to using Excel.

Using Live Dashboards to Save Time and Improve Stakeholder Engagement

Getting stakeholders engaged in the budget process poses a challenge for many finance teams. Morrow uses Datarails interactive dashboards as a creative solution to get the department heads and management on board. 

“Within Datarails, dashboards were just a natural extension of the solution. I found them very intuitive and very easy to build,” said Craig. 

The dashboards he shared got good feedback from the department heads.

“When we shared those dashboards with the budget holders, they were well-received,” he said. “The fact that you can essentially just automate and have a new month’s worth of data feeding into the solution, and not really worry about recreating dashboards each month made it a seamless transition.”

Using the Datarails permission settings, Craig was able to keep financial information secure without doing the additional work of creating separate graphs for stakeholders with different permission levels.

“I only needed to build one dashboard and share that with the budget holders, and based on their permission sets they would only see their own data, for their own budget, that they were concerned with, which was really good for security and people not looking at each other’s budgets. It was good for internal politics. And at the end of the day, they look pretty cool.” 

Craig explained how, thanks to the Datarails visualization tool, each department head is able to tell their story through the data and answer questions about how they got to their numbers.

“Each month we had a new month’s worth of data,” which is automatically fed into these personalized dashboards and PowerPoints, he said. “We actually provided each budget holder with, essentially, an executive summary of their budget output. We had a series of budget review meetings, and each budget holder had to stand up and present their own budget.” 

The seamless integration among Datarails dashboards, Excel, and PowerPoint saves Craig significant time preparing the various files the organization depends on for budget season. From updating data to file collection management to delivering presentations to the board: It’s all automated.

“It was really cool to connect the budget output dashboard to a template in PowerPoint, which just pulls in the headcount salary data from each department,” said Craig. “That was presented to our leadership team and to the board. Because I can add filters and permission settings for each department, I only had to create the PowerPoint once.”

Within Datarails, dashboards were just a natural extension of the solution. I found them very intuitive and very easy to build.

The impact: more visibility leads to greater confidence in the numbers and investment in company growth

The increased accuracy, reliability, and granularity of the data have given the CloudPay board far greater confidence in the numbers than it had before the company started using Datarails. And that made it possible to invest in the company’s growth, through board approval of a $2 million to develop a better payroll engine.

Beyond board confidence, increased visibility also means stakeholders within the company can now instantly access visualizations of the entire company’s data at a glance. Being able to apply different filters and views to dashboards means there is always one source of truth.

“Because there was visibility, everyone understood what was happening a lot more,” said Craig. “There was a lot of clarity on exactly what the numbers were telling us. The board said, ‘We don’t mind investing more this year.”

Datarails’ data consolidation and real-time drilldown capabilities helped the board see that CloudPay had a much firmer grasp on the financials than before.

“Templates that compared actuals to budget to previous years at the click of a button enabled me to very quickly answer any questions or even provide the analysis, data, explanation, and story behind the numbers,” said Craig. “Because there was such visibility into the overall P&L and a lot more granularity than we ever had, there were new projects and investments that were then able to be included in the overall budget.” 

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