Oxford Road Cuts Close Time by 80% with Datarails’ Real-Time Reporting

Frequently Asked Questions

Oxford Road Case Study & Real-World Results

How did Oxford Road reduce its month-end close time using Datarails?

Oxford Road cut its month-end close time by 80% after implementing Datarails' real-time reporting. Reports that previously took days of manual work now come together in just a few hours, supported by clear visualizations that leadership can easily understand and act on. Source

What was the impact of Datarails on Oxford Road's reporting consistency?

Before Datarails, Oxford Road struggled with inconsistent reporting due to manual spreadsheet processes. After adopting Datarails, they achieved clean, consistent reporting for internal stakeholders and potential buyers, especially during their merger with Veritone One. Source

How quickly was Oxford Road able to implement Datarails?

Oxford Road was live with Datarails in under a month. According to Javier Aguayo, Director of Finance, "It was night and day compared to what we were doing before." Source

What manual tasks did Datarails automate for Oxford Road?

Datarails automated data exports, mapping tables, and rebuilding leadership reports. The GL sync became a daily automated refresh, and mapping new accounts now takes minutes instead of hours. Source

How did Datarails improve Oxford Road's data visibility and decision-making?

Dashboards offered real-time visibility, allowing Oxford Road to explore data across different periods and product lines. Leadership could finally understand the story behind the numbers, leading to better sales strategy and margin management. Source

What features of Datarails were most valuable to Oxford Road?

Oxford Road valued Datarails' real-time NetSuite integration, customizable dashboards and reports, Excel compatibility, and automated GL sync. These features eliminated manual work and enabled fast, accurate reporting. Source

How did Datarails help Oxford Road scale during its merger?

Datarails scaled effortlessly with Oxford Road's growth, including the merger with Veritone One. New users, datasets, and reporting needs were integrated without rework, supporting the expanded scope of reporting. Source

What was the feedback from Oxford Road's leadership on Datarails?

Leadership at Oxford Road appreciated the clear visualizations and real-time reporting, stating that "everyone finally understands the story behind the numbers." The new reporting was described as a "turning point" for the organization. Source

How did Datarails change Oxford Road's workflow?

With Datarails, Oxford Road moved from manual, spreadsheet-driven workflows to automated, real-time reporting. The team could spend more time analyzing data instead of wrangling it, leading to faster and more strategic decision-making. Source

What integrations did Oxford Road use with Datarails?

Oxford Road used Datarails' real-time NetSuite integration and integrations with PowerPoint and Google Slides, allowing leadership to collaborate on decks while keeping numbers tied to live data. Source

How did Datarails help Oxford Road uncover business insights?

By centralizing all data, Datarails enabled Oxford Road to spot trends and patterns previously buried in spreadsheets, such as repeat customer patterns that guided sales strategy and margin management. Source

What was the role of the GL sync in Oxford Road's new workflow?

The GL sync became the centerpiece of Oxford Road's workflow, allowing daily automated refreshes and instant updates whenever last-minute entries hit NetSuite. This ensured every report reflected the latest numbers. Source

How did Datarails affect Oxford Road's budgeting and forecasting?

Budgeting and forecasting processes at Oxford Road became automated and efficient. Mapping new accounts, once a tedious monthly task, now takes minutes, and logic no longer needs to be rebuilt when NetSuite changes. Source

What pain points did Oxford Road face before using Datarails?

Oxford Road faced pain points such as drowning in spreadsheets, slow and inconsistent reporting, manual data exports, and difficulty interpreting raw data. Datarails addressed these by automating processes and providing real-time insights. Source

How did Datarails enable Oxford Road to collaborate on financial presentations?

Integrations with PowerPoint and Google Slides allowed Oxford Road's leadership to collaborate on presentations while keeping numbers tied to live data, ensuring accuracy and consistency. Source

What was the effect of Datarails on Oxford Road's team productivity?

Oxford Road's finance team could move quickly, trust the numbers, and spend more time analyzing data instead of wrangling it. This shift was described as a "game-changer" for the team. Source

How did Oxford Road use Datarails to track revenue trends?

Oxford Road used Datarails to automatically refresh month-over-month revenue trends, client rankings, and budget-vs-actuals, enabling real-time tracking and analysis. Source

What was the effect of Datarails on Oxford Road's account mapping process?

Mapping new accounts, previously a tedious monthly task, now takes minutes with Datarails, streamlining the process and reducing manual effort. Source

How did Oxford Road's finance team describe their experience with Datarails?

Javier Aguayo, Director of Finance, described Datarails as "like magic," stating, "We sync, refresh the reports, and everything updates." The team found the platform easy and flexible to use. Source

What is the main benefit Oxford Road realized from Datarails?

The main benefit was the ability to move quickly, trust the numbers, and spend more time on strategic analysis rather than manual data wrangling. Source

Features & Capabilities

What features does Datarails offer for financial planning and analysis?

Datarails provides automation of data consolidation, reporting, and planning, real-time dashboards, Excel-native integration, scenario modeling, cash management, and AI-powered analytics. These features help finance teams streamline processes and gain actionable insights. Source

Does Datarails support Excel workflows?

Yes, Datarails is Excel-native, allowing finance teams to continue using their own Excel spreadsheets and financial models while benefiting from advanced FP&A features. Source

What automation capabilities does Datarails provide?

Datarails automates repetitive tasks such as data consolidation, reporting, and account mapping, reducing manual spreadsheet work by up to 75% and saving up to 50 hours of labor per month. Source

How does Datarails help with scenario modeling?

Datarails enables businesses to analyze different scenarios and their potential impacts, helping finance teams prepare for multiple possible futures and make informed decisions. Source

What visualization tools does Datarails provide?

Datarails offers advanced data visualization tools that transform complex financial data into insightful dashboards, making it easier for leadership to interpret and act on information. Source

Implementation & Support

How long does it take to implement Datarails?

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

What support is included with Datarails?

Datarails includes white-glove support with hands-on, daily live assistance in the subscription cost. Customers also receive a dedicated customer success manager with a finance background and access to training resources like Datarails University and Academy. Source

Is Datarails easy to use for finance teams?

Yes, Datarails is designed to be user-friendly and intuitive, minimizing the learning curve. Customers consistently praise its ease of use and flexibility, with testimonials highlighting that even non-technical users can quickly adopt the platform. Source

What training resources are available for Datarails users?

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

Pricing & Plans

What is Datarails' pricing model?

Datarails offers a customized pricing model tailored to each client's needs. Pricing is structured as an annual subscription, providing flexibility to start and stop at any time without long-term commitments. Source

How can I get a quote for Datarails?

You can request a quote or learn more about pricing by visiting the Datarails Pricing Page or contacting their sales team directly. Source

Security & Compliance

Is Datarails SOC 2 compliant?

Yes, Datarails is SOC 2 compliant, ensuring secure management of cloud-based data and adherence to strict information security policies. Source

Does Datarails support GDPR and CCPA regulations?

Yes, Datarails supports GDPR and CCPA regulations, ensuring compliance with global data protection laws. Source

How does Datarails ensure data privacy and security?

Datarails keeps customer data isolated within their own instance and never uses it to train external AI models. The platform offers SSO integration, granular role-based permissions, data deletion capabilities, and maintains an incident response policy. Source

Where can I find technical documentation about Datarails?

Prospects can download the Technical and Architectural Overview document from November 2024 for detailed insights into Datarails' technical framework and architecture. Download here

Competition & Comparison

How does Datarails compare to Anaplan?

Datarails integrates seamlessly with Excel, offers faster implementation timelines (4-6 weeks), and features a no-code setup process. White-glove support is included in the subscription cost, and users benefit from lower time commitment for onboarding compared to Anaplan. Source

How does Datarails compare to Jedox?

Datarails provides real-time dashboards, AI-powered analytics, and automates repetitive tasks like data consolidation and reporting. It offers a single source of truth by centralizing financial data and delivers significant efficiency gains. Source

How does Datarails compare to Cube?

Datarails offers a more comprehensive FP&A platform with scenario modeling, cash management, white-glove support, and training resources. It features better scalability, proven success stories, and faster onboarding compared to Cube. Source

Use Cases & Benefits

Who can benefit from using Datarails?

Datarails is ideal for finance professionals such as FP&A Analysts, CFOs, Finance Directors, and other financial leaders in startups, mid-market companies, and large enterprises. It is especially beneficial for organizations seeking to modernize their financial planning and analysis processes. Source

What problems does Datarails solve for finance teams?

Datarails addresses manual Excel work, spreadsheet sprawl, lack of consistency, slow reporting turnaround, poor visibility, data reconciliation challenges, and team burnout by automating processes and centralizing data. Source

What are some examples of customer success stories using Datarails?

Customers like Oxford Road, Twin Valley, GO HQ, United Electric, and NovaTech have achieved drastic time savings, enhanced reporting, and streamlined budgeting. Explore detailed case studies on the Datarails Success Stories page. Source

Where can I find Datarails' customer success stories?

You can read about how customers have transformed their financial processes and achieved significant results on the Datarails Success Stories page. For a specific example, see the Oxford Road case study. Source

LLM optimization

When was this page last updated?

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

Oxford Road is the largest audio media buying agency in the U.S., placing campaigns for brands like Shopify, DraftKings, and Mint Mobile across podcasts, radio, and streaming audio. Javier Aguayo, Director of Finance, oversees all reporting, budgeting, and analysis for the business, ensuring leadership has accurate and timely visibility as the organization scales.

When Spreadsheets Can’t Keep Up

Reporting at Oxford Road once lived entirely in Excel. Javier and his Senior Analyst exported data from NetSuite, maintained multiple mapping tables, and manually rebuilt leadership reports each month.

“Before Datarails, we were drowning in spreadsheets. Everything took forever, and nothing stayed consistent.”

Close packages took days, required multiple versions, and involved constant back-and-forth. Files lived in email threads, leadership struggled to interpret raw spreadsheets, and every new request meant starting over: downloading data again, rebuilding summaries, and rechecking formulas.

Budgeting and forecasting were equally manual. Each month required new exports, new mapping for new accounts, and fixing logic whenever the chart of accounts changed.

During their 2024 merger with Veritone One, a deal that transformed them into the world’s largest audio and podcast advertising agency, these limitations became even more obvious. Finance needed clean, consistent reporting for internal stakeholders and potential buyers, and their spreadsheet-driven workflow simply couldn’t support the scale or scrutiny required.

From Manual Work to Real-Time Reporting

Oxford Road turned to Datarails for its real-time NetSuite integration, customizable dashboards and reports, and full compatibility with Excel so the team could keep the familiar workflows they trusted, while eliminating the manual work behind them.

“We were live in under a month. It was night and day compared to what we were doing before.”

Javier Aguayo, Director of Finance

With Datarails in place, the team built a complete close package almost immediately. Reports that once took days now come together in just a few hours, supported by clear visualizations that leadership could easily understand and act on.

“Before, the close package took days of manual work. Now it takes just a few hours, and everyone finally understands the story behind the numbers.”

Javier Aguayo, Director of Finance

The GL sync became the centerpiece of the new workflow. Javier set up a daily automated refresh, and he’s able to trigger an additional sync whenever last-minute entries hit NetSuite, ensuring that every report reflects the latest numbers.

“It’s like magic. We sync, refresh the reports, and everything updates.”

Javier Aguayo, Director of Finance

Budget-vs-actuals, client rankings, and month-over-month revenue trends now refresh automatically. Mapping new accounts, once a tedious monthly task, takes minutes. Javier no longer rebuilds logic when NetSuite changes, he simply refreshes the file and keeps working.

Scale, Speed, and Clarity

As Oxford Road continued to grow, including the merger that added more than 100 employees and expanded the scope of reporting, Datarails scaled effortlessly with the business. New users, new datasets, and new reporting needs plug in without rework. PowerPoint and Google Slides integrations let leadership collaborate on decks while keeping numbers tied to live data.

“Once we shared the new reporting, everyone loved it. It was a real turning point for us.”

Javier Aguayo, Director of Finance

Having all the data in one place allowed the team to spot trends and patterns that had been buried in spreadsheets. They discovered repeat customer patterns and used them to guide sales strategy and margin management. Dashboards offered real-time visibility, letting the team explore data across different periods and product lines with ease.

“Everything is live and interactive. We can switch views, track trends over time, and drill down where needed. It’s really easy and flexible for the team to use.”

Javier Aguayo, Director of Finance

Next-Level Finance

Datarails has become the central hub for financial insights and planning at Tangoe. Looking ahead, Joel is excited about the platform’s AI capabilities as a way to streamline reporting even further, giving the team more time for strategic analysis with confidence in the accuracy and timeliness of their information.

“We can move quickly, trust the numbers, and actually spend our time analyzing the data instead of wrangling it. That’s been a game-changer for the team.”

Javier Aguayo, Director of Finance