Datarails Features

Based on 92 Datarails reviews and verified by the G2 Product R&D team. Uses collected data to assist organizations in understanding what they can afford now, and in years to come.

Based on 92 Datarails reviews and verified by the G2 Product R&D team. Creates a continuous and recurrent planning process that can be calculated according to a specified and customizable timeline.

Based on 91 Datarails reviews and verified by the G2 Product R&D team. Leverages data from budgeting and forecasting processes to help corporations understand their reality and make decisions accordingly.

Based on 96 Datarails reviews and verified by the G2 Product R&D team. Offers methods of visualizing data via customizable dashboards, statistical graphs, and charts.

Based on 99 Datarails reviews and verified by the G2 Product R&D team. Scours data for actionable insights.

Based on 98 Datarails reviews and verified by the G2 Product R&D team. Allows users to customize their own reports according to business needs.

Based on 93 Datarails reviews and verified by the G2 Product R&D team. Provides pre-built reporting templates to organize data for payroll, manufacturing, and other company factions.

Based on 92 Datarails reviews and verified by the G2 Product R&D team. Allows for searchable communication within the tool via notes, checklists, and discussions to ensure clarity between users.

Based on 93 Datarails reviews and verified by the G2 Product R&D team. Reflects updates immediately, ensuring users have the most recent data while maintaining records of past performance.

Based on 97 Datarails reviews and verified by the G2 Product R&D team. Updates varying factors in real-time, assuring forecasts and inferences are continually made according to the most recent information.

As reported in 29 Datarails reviews. Displays and shares company performance data to increase transparency across the board.

Import trial balance, monthly P&L, balance sheets, and other types of financial data This feature was mentioned in 148 Datarails reviews.

Based on 134 Datarails reviews. Define budget structure elements and how they are linked hierarchically

Keeps track of all versions of a budget and allows users to compare versions 133 reviewers of Datarails have provided feedback on this feature.

Based on 143 Datarails reviews. Include budgeting formulas to estimate direct and indirect costs, operating and non-operating revenues

As reported in 111 Datarails reviews. Test the potential financial impact of business decisions on revenues and expenses

Based on 137 Datarails reviews. Users can customize standard budget periods (3, 9, or 12 months)

Consolidate multiple budgets from different departments or business entities This feature was mentioned in 139 Datarails reviews.

As reported in 126 Datarails reviews. Users with administrative access rights can modify budgets

Workflows are used to define the steps required to alter budgets and who needs to approve changes 120 reviewers of Datarails have provided feedback on this feature.

As reported in 135 Datarails reviews. Forecasting is based on past transactions and historical financial or operational data

Based on 126 Datarails reviews. Ability to recreate forecasts to include new information that may impact budgets

Support multiple types of forecasts such as balance sheet and cash flow forecasts This feature was mentioned in 124 Datarails reviews.

Used to review and update budgeting assumptions for a predefined period (usually one year) This feature was mentioned in 123 Datarails reviews.

As reported in 87 Datarails reviews. Uses AI algorithms and models to predict future trends and outcomes, based on historical data and patterns

Project out as the year progresses to accommodate trends that affect key business drivers. 135 reviewers of Datarails have provided feedback on this feature.

As reported in 127 Datarails reviews. compare Income Statement, Balance Sheet, and Cash Flow for multiple periods

Forward-looking Balance Sheet and Cash Flow Statements are synchronized with GL data 117 reviewers of Datarails have provided feedback on this feature.

Project out as the year progresses to accommodate trends that affect key business drivers.

Generate cash flow reports in order to see where money is coming in and where it's going

Compare Income Statement, Balance Sheet, and Cash Flow for multiple periods

Forward-looking Balance Sheet and Cash Flow Statements are synchronized with GL data

Financial information can be imported from multiple sources such as spreadsheets, text files, or databases 159 reviewers of Datarails have provided feedback on this feature.

As reported in 158 Datarails reviews. Data from multiple systems can be centralized into a single repository

As reported in 155 Datarails reviews. Financial data can be validated to avoid duplicates and errors

As reported in 138 Datarails reviews. Administrators can define and manage the reporting structure and access rights to each report

Templates that can be used to create new reports without starting from scratch 144 reviewers of Datarails have provided feedback on this feature.

As reported in 146 Datarails reviews. Provide multiple types of reports such as point-in-time or snapshot reports, year over year, or time to date

Include most common financial KPIs such as gross and net profit margin, or working capital This feature was mentioned in 134 Datarails reviews.

Based on 143 Datarails reviews. Standard financial reports are provided out of the box

As reported in 148 Datarails reviews. Ability to analyze financial statements such as income statement and balance sheet

Users can drill down to the detail level of each transaction or financial entry This feature was mentioned in 153 Datarails reviews.

Dashboards can be customized to display different types of data from various sources This feature was mentioned in 149 Datarails reviews.

Based on 133 Datarails reviews. Users can modify standard financial KPIs and metrics

Allow users to edit reports and to combine multiple reports 147 reviewers of Datarails have provided feedback on this feature.

A dedicated portal for external users with limited access to the system This feature was mentioned in 147 Datarails reviews.

Monitors the financial performance of multiple entities This feature was mentioned in 99 Datarails reviews.

Timesheets, projects, tasks, income or expenses can all easily be exported to pdf, xls or csv for simpel cash clow analysis.

Add one-time or recurring items to your cash flow and add line items for each payment or deposit.

Check your cash on hand at the beginning of each month and view each day incoming and outgoing funds.

Cash flow forecasting is based on past transactions and historical financial or operational data

Ability to recreate forecasts to include new information that may impact budgets

Support multiple types of forecasts such as balance sheet and cash flow forecasts

Used to review and update budgeting assumptions for a predefined period (usually one year)

Uses AI algorithms and models to predict future cash flow trends and outcomes, based on historical data and patterns

Automates the transfer of data between an organization's ERP system and its bank

Streamlines the exchange of information between internal systems

Automatically extracts data required for cash forecasting and liquity reporting

Restricts access to certain users within an organization, or provides access for third parties

Integrates with other financial software, such as Treasury Management, Budgeting & Foreasting, or Invoice Management software

Based on 75 Datarails reviews and verified by the G2 Product R&D team. Data from multiple systems can be centralized into a single repository

Based on 74 Datarails reviews and verified by the G2 Product R&D team. Financial information can be imported from multiple sources such as spreadsheets, text files, or databases

Match invoices, payments, and bank statement information 34 reviewers of Datarails have provided feedback on this feature.

Based on 77 Datarails reviews and verified by the G2 Product R&D team. Provide multiple types of reports such as point-in-time snapshot reports, or year over year

Based on 78 Datarails reviews and verified by the G2 Product R&D team. Offers standard financial reports out of the box

Based on 76 Datarails reviews and verified by the G2 Product R&D team. Allows users to edit reports and to combine multiple reports

Based on 61 Datarails reviews and verified by the G2 Product R&D team. Creates workflows to assign tasks for audit and inspections, monitor work in progress, timelines, and approvals.

Based on 60 Datarails reviews and verified by the G2 Product R&D team. Adjusts journal entries in order to have an accurate balance sheet and income statement

Based on 62 Datarails reviews and verified by the G2 Product R&D team. Financial statements and statistical reports (such as KPI) can be assembled into financial packages

Based on 78 Datarails reviews and verified by the G2 Product R&D team. Analysis that creates business plans outside of finance, including sales, marketing, or HR.

Based on 86 Datarails reviews and verified by the G2 Product R&D team. Reports on departmental KPI metrics measured against targets.

Based on 85 Datarails reviews and verified by the G2 Product R&D team. Consolidates planning processes across an organization into a single solution.

Automates the process of comparing financial transactions between different accounts, statements, or systems

Helps match transactions recorded in the company's books with those in the bank statement

Alerts users when exceptions and discrepencies can't automatically be resolved

Uses algorithms, such as rule-based matching, fuzzy logic, or machine learning techniques to help with comparing large sets of data

Ensures that financial records are accurate and precise, reducing the chances of errors that could lead to audit issues

Meets industry-specific compliance requirements and supports regulatory standards

Offeres customizable reporting features to provide a clear overview of the financial reconciliation process and any issues that may need attention

Provides a detailed history of reconciliations and supports the accuracy of financial records

Integrates with accounting platforms to allow the import and reconciliation of financial data

Integrates with inventory management systems to help reconcile financial data related to product movements, purchases, and sales

Integrates with ERP systems to reconcile financial data across various modules and departments

Integrates with banking systems to import and match bank transactions

Offers role-based access control (RBAC) allowing administrators to define roles with specific sets of permissions

Uses features such as multi-factor authentication (MFA) to help ensure that only authorized users can access the software

Has encryption techniques to prevent unauthorized access or interception of data

Complys with regulations and standards, such as Sarbanes-Oxley (SOX), GDPR, or HIPAA

Capability to perform complex tasks without constant human input

Capability to perform complex tasks without constant human input

Anticipates needs and offers suggestions without prompting 27 reviewers of Datarails have provided feedback on this feature.

Based on 27 Datarails reviews. Makes informed choices based on available data and objectives

As reported in 32 Datarails reviews. Engages in human-like conversation for task delegation

Based on 32 Datarails reviews. Anticipates needs and offers suggestions without prompting

Based on 33 Datarails reviews. Makes informed choices based on available data and objectives

Based on 26 Datarails reviews. Works across multiple software systems or databases

Based on 26 Datarails reviews. Makes informed choices based on available data and objectives

Capability to perform complex tasks without constant human input 11 reviewers of Datarails have provided feedback on this feature.

As reported in 11 Datarails reviews. Uses AI to ensure the following of rules and creates detailed audit trails which helps compliance and audit preparation.

As reported in 11 Datarails reviews. Uses AI to match transactions across accounts and systems, and flag exceptions and discrepencies.

As reported in 10 Datarails reviews. Uses AI to extract, clean, and validate financial data from disparate sources, while identifying errors and inconsistencies.

Based on 11 Datarails reviews. Generates AI-assisted financial reports and provides thorough analytical insights.