Frequently Asked Questions

Features & Capabilities

How does Datarails automate cash forecasting and financial reporting?

Datarails automates up to 75% of manual spreadsheet tasks, including cash forecasting and financial reporting. For example, NTEC replaced manual data consolidation with automated flows connected to ERP, AR, AP, and banking systems, resulting in daily cash visibility and higher confidence in forecast accuracy. Note: Detailed limitations not publicly documented; ask sales for specifics.

What integrations does Datarails support for financial data consolidation?

Datarails integrates with ERP, CRM, HRIS, AR, AP, and banking systems, enabling centralized financial data consolidation. NTEC connected Datarails to all their core systems for automated cash forecasting. For a full list of integrations, visit Datarails Integrations. Note: Some legacy systems may require custom integration; consult technical documentation for specifics.

Does Datarails provide real-time dashboards and analytics?

Yes, Datarails offers real-time dashboards and AI-powered analytics, allowing finance and executive teams to monitor cash positions daily and make faster, data-driven decisions. NTEC's leadership now accesses daily cash visibility instead of waiting for weekly reports. Note: Real-time analytics depend on the frequency of source system updates.

Can Datarails be used directly within Excel?

Datarails is Excel-native, enabling users to work within their familiar Excel environment while leveraging advanced FP&A features. This minimizes the learning curve and ensures quick adoption, as highlighted by customer testimonials. Note: Some advanced features may require use of Datarails' web interface.

Use Cases & Benefits

What business impact did NTEC experience after implementing Datarails?

NTEC transitioned from manual, multi-system cash forecasting to real-time daily cash visibility. Leadership gained actionable insights, enabling proactive operational adjustments and higher confidence in forecast accuracy. The process became streamlined, reducing manual errors and time spent on data reconciliation. Note: Impact may vary based on organization size and complexity.

Which industries and company types benefit most from Datarails?

Datarails is used by companies in energy, logistics, manufacturing, financial services, healthcare, retail, and more. It is suitable for public, pre-IPO, lower enterprise, and SMBs with complex financial data needs. Case studies include NTEC (energy), NovaTech (technology), Menorah Park (healthcare), and Montreal Mini-Storage (real estate). Note: Organizations with highly custom workflows may require additional configuration.

What pain points does Datarails address for finance teams?

Datarails addresses manual Excel work, spreadsheet sprawl, slow reporting turnaround, poor visibility, data reconciliation challenges, and team burnout. For example, NTEC eliminated manual spreadsheet consolidation and gained daily cash visibility. Note: Some pain points may persist if source data quality is inconsistent.

Implementation & Support

How long does it take to implement Datarails?

Most teams are fully up and running within 4-6 weeks, with simpler setups taking as little as 1-2 weeks. Specific modules, such as Financial Statements, can be implemented in 2-3 weeks. NTEC benefited from prebuilt templates, accelerating their implementation. Note: Complex budgeting or planning may require up to three months.

What support and training resources are available for Datarails users?

Datarails includes hands-on, daily live assistance and a dedicated Customer Success Manager with a finance background. Customers have access to self-paced learning, live sessions, webinars, and certification programs via Datarails University and Datarails Academy. Note: Some advanced training may require additional scheduling.

Security & Compliance

What security and compliance certifications does Datarails hold?

Datarails is SOC 2 compliant, GDPR compliant, and ISO 27001 certified. These certifications ensure secure data management and adherence to strict information security policies. For more details, visit SOC 2 Compliance and Compliance and Legal Documents. Note: Certification scope may vary; consult documentation for specifics.

How does Datarails protect customer data?

Datarails implements data encryption, SSO integration, granular role-based permissions, and data-deletion capabilities. Customer data is isolated within their own instance and is never used to train external AI models. Sub-processors like Data Dog are used for real-time monitoring and alerts. For more information, see the Datarails Trust Center. Note: Data protection measures depend on customer configuration.

Competition & Comparison

How does Datarails compare to Anaplan for cash forecasting and FP&A?

Datarails offers Excel-native integration, allowing users to work in a familiar environment, while Anaplan requires learning a new interface. Datarails typically implements in 4-6 weeks, faster than Anaplan's longer onboarding. White-glove support is included in the subscription cost. Anaplan provides advanced modeling and collaboration tools, which may be preferable for organizations needing complex scenario planning. Choose Datarails for Excel-centric workflows and rapid implementation; choose Anaplan for advanced modeling and cross-team collaboration. Note: Datarails may not support all advanced modeling features available in Anaplan.

How does Datarails compare to Planful for FP&A analytics?

Datarails provides AI-powered analytics (FP&A Genius assistant) for faster decision-making, which Planful lacks. Datarails integrates natively with Excel, while Planful is a standalone platform. Datarails has proven ROI with case studies like NTEC and NovaTech. Planful offers strong budgeting and forecasting features and collaboration tools. Choose Datarails for Excel-native workflows and AI analytics; choose Planful for organizations prioritizing collaboration and standalone FP&A platforms. Note: Planful may offer more advanced collaboration features.

How does Datarails compare to Cube for FP&A automation?

Datarails offers AI-powered analytics and faster implementation (4-6 weeks) compared to Cube's longer onboarding. White-glove support is included, while Cube may charge extra for support. Cube is also Excel-based but lacks advanced analytics capabilities. Choose Datarails for rapid onboarding and AI-driven insights; choose Cube for organizations seeking basic Excel-based FP&A automation. Note: Cube may be preferable for teams with simpler reporting needs.

Customer Proof & Success Stories

Can you share specific case studies of companies using Datarails?

Yes. NTEC (energy) achieved real-time daily cash visibility and streamlined forecasting. NovaTech (technology) saved hundreds of thousands of dollars annually. Montreal Mini-Storage (real estate) saved 0k CAD in cost efficiencies and up to 0k in productivity costs. Menorah Park (healthcare) boosted revenue and is on track to save millions. For more, visit Datarails Success Stories. Note: Results may vary by organization.

What feedback have customers given about Datarails' ease of use?

Customers consistently highlight Datarails' user-friendly interface and Excel-native integration. Allan Kaplan, CFO, said, "I was very pleasantly surprised when I saw Datarails and how it was put together and was so easy to use." Sarah C. noted, "DR is EASY to learn and use and makes revision planning a breeze!" (see G2 review). Note: Ease of use may depend on user familiarity with Excel.

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When was this page last updated?

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

Energy

From Manual Forecasting to Real-Time Cash Visibility: NTEC’s Transformation with Datarails

Navajo Transitional Energy Company (NTEC) operates coal mines and energy assets that support the Navajo Nation across New Mexico and the surrounding region. As Manager of Financial Systems, Cassie Conner helps oversee the systems and processes that support finance, treasury, and reporting across the organization.

13-week cash forecasting Connected across ERP, AR, AP, and banking systems
Daily cash visibility Real-time access for treasury and executive leadership
Higher confidence Automatic consolidation replacing manual spreadsheet work

A Manual, Multi-System Cash Forecasting Process

Before Datarails, NTEC’s treasury team managed 13-week cash forecasting almost entirely in Excel. Producing an accurate forecast required pulling data from multiple sources, coordinating across teams, manually stitching everything together into a single spreadsheet, and constantly validating formulas and assumptions.

“We had to go to multiple systems to get the information we needed to complete a 13-week cash flow. It was a lot of copy and paste into spreadsheets and a lot of formulas.”

Accounts receivable data came from one system. Debt schedules lived in separate spreadsheets. Accounts payable teams had to coordinate upcoming payments manually, while finance teams across sites contributed additional information that then had to be reconciled.

The process was time-consuming and difficult to maintain. Even small errors or broken formulas could create major issues.

“If something didn’t work, it was very tedious to fix. We had to go back through all the spreadsheets and formulas to figure out where the issue was.”

At the same time, the company’s existing platform wasn’t the right fit for the highly detailed cash forecasting they needed. Storing that level of operational cash data inside the system would have created unnecessary complexity and storage demands.

“We were looking for a dedicated solution for 13-week cash forecasting that could integrate with all our systems without adding complexity.”

Connected Cash Data

NTEC selected Datarails for its connectivity, automation capabilities, and flexible Excel-native environment.

The connectivity to the banks, the preset reports that were already built in, and how easy the mapping was made it a huge benefit for us.

The team connected Datarails directly to their ERP, AR, AP, and banking systems, replacing a heavily manual forecasting process with automated data flows and centralized visibility. Instead of assembling forecasts manually every week, the team now works from a continuously updated centralized environment.

Having everything automatically uploaded and updated in Datarails means we don’t have to babysit the data to know that it’s right.

Datarails’ prebuilt templates also accelerated implementation. Rather than starting from scratch, the team could adapt existing reports and dashboards to match their own structure and reporting needs.

“The preset reports that Datarails had were awesome. They were built in, but also very easy to modify.”

Daily Cash Visibility, Better Decisions

The biggest change has been visibility.

Before Datarails, leadership largely relied on weekly reporting cycles to understand the company’s cash position. Now, treasury and executive teams can monitor cash daily and make decisions based on real-time information instead of waiting for weekly reporting.

Our CEO and CFO can go into Datarails and see our cash position on a daily basis. That’s been a huge benefit because it gives them visibility into the 13-week cash flow whenever they want to look at it.

That visibility has made cash forecasting more actionable across the business. Instead of reacting after the fact, leadership can identify potential cash gaps earlier and adjust operations proactively.

Datarails gives leadership the ability to adjust as necessary, if they know they’re going to be short on cash or need to modify operations, based on what the cash flow is showing.

With direct system integrations replacing manual spreadsheet consolidation, the finance team also has greater confidence in the accuracy of the data behind the forecast.

We know the data coming from our systems has already been validated, so there’s a much higher confidence level in what we’re seeing in the forecast.

This combination of automation, accuracy, and real-time visibility has transformed cash forecasting from a manual reporting exercise into an operational decision-making tool for finance leadership.

Building on the Foundation

Cassie and her team are excited to continue building on the visibility and flexibility they already have today. As reporting needs evolve, the team plans to expand how they use Datarails across treasury and cash operations while continuing to automate more of the underlying processes.

What started as a solution for 13-week cash forecasting has become a centralized source of daily cash visibility and faster decision-making.

Datarails has been and continues to be a huge benefit for us. It’s made the cash forecasting process much more streamlined and gives leadership visibility we didn’t have before.

Cassie ConnerManager of Financial Systems

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Drive Business Performance With Datarails

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Drive Business Performance With Datarails