AI Classification
AI Classification is Go Fig's automated categorization and tagging of transactions, expenses, and data records, using machine learning to apply consistent labels, reduce manual coding, and catch miscategorized items.
Glossary
63 terms. Each one starts with a short answer, then the detail.
AI Classification is Go Fig's automated categorization and tagging of transactions, expenses, and data records, using machine learning to apply consistent labels, reduce manual coding, and catch miscategorized items.
An AI Financial Analyst is an autonomous AI agent that performs the work of a junior or mid-level analyst, data pulls, reconciliation, segmentation, variance analysis, and forecast updates, inside the tools the finance team already uses.
Automated Insights is Go Fig's proactive intelligence feature that continuously monitors your data, detects anomalies and trends, and delivers actionable alerts, surfacing what matters before you think to ask.
A Go Fig automation is a report or data task that runs on its own, on a schedule or when something changes, so nobody has to export, copy and paste or rebuild it by hand.
Celeste is Go Fig's AI Analyst that proactively surfaces insights, explains variances in plain English, answers questions about your data, and creates workflows and dashboards from natural language prompts, all with full audit trails.
A Go Fig dashboard shows your key numbers and trends from the tools you connected, and it updates every time your data does, so nobody has to refresh or rebuild it.
Go Fig's Data Catalog is an AI-powered inventory of all your connected data sources, tables, fields, and metrics, making it easy to discover what data exists, understand what it means, and find the right information for any analysis.
Excel Bi-Directional Sync is Go Fig's two-way synchronization between your Excel spreadsheets and source systems, automatically pulling live data into Excel and pushing approved changes back to your systems of record.
An FP&A Agent is an AI agent focused on the FP&A function: rolling forecasts, what-if scenarios, headcount and budget planning, and board reporting, augmenting (and in some cases replacing) the work of a traditional FP&A analyst.
The Semantic Layer is Go Fig's unified data model that defines consistent metrics, dimensions, and business logic across all reports, ensuring everyone in your organization works from the same definitions and calculations.
Data centralization is the practice of consolidating data from multiple disparate sources into a single, unified repository or platform, creating one source of truth for an organization.
Data governance is the framework of policies, processes, and standards that ensures data is managed as a valuable asset, addressing data quality, security, privacy, accessibility, and compliance across the organization.
A data lake is a centralized storage repository that holds vast amounts of raw data in its native format, structured, semi-structured, and unstructured, until needed for analytics, machine learning, or other processing.
A data pipeline is an automated sequence of processes that moves data from source systems through transformations to a destination, enabling organizations to collect, process, and deliver data reliably without manual intervention.
Data silos are isolated pockets of data stored in separate, disconnected systems that cannot easily share information with each other, preventing organizations from getting a complete, unified view of their business and forcing manual reconciliation work.
A data warehouse is a centralized repository optimized for analytics and reporting, storing historical data from multiple sources in a structured format designed for complex queries and business intelligence.
ERP implementation is the process of deploying, configuring, and migrating an organization to an Enterprise Resource Planning system, a high-cost, high-risk project with a well-documented failure rate, particularly among mid-market companies.
ETL (Extract, Transform, Load) is a data integration process that extracts data from source systems, transforms it into a usable format, and loads it into a target system, the foundation of data warehousing and business intelligence.
Excel ETL is the manual process finance teams use to extract data from source systems, transform it using spreadsheet formulas and copy-paste manipulation, and load it into Excel workbooks for reporting, a widespread workaround for disconnected financial systems.
Master data management (MDM) is the discipline of creating and maintaining a single, consistent, accurate view of key business entities, such as customers, products, vendors, and accounts, across all systems and applications.
Multi-ERP consolidation is the process of combining financial and operational data from multiple ERP systems, typically across acquired companies, business divisions, or portfolio entities, into a single, unified view for reporting, analysis, and decision-making.
Real-time data is information that is available for use immediately after collection, with minimal latency between when an event occurs and when the data is accessible for analysis or action, typically seconds to minutes.
A single source of truth (SSOT) is an authoritative data repository where every team accesses the same consistent, accurate information, eliminating conflicting numbers and data silos.
API integration is the process of connecting software applications through their Application Programming Interfaces (APIs), enabling automated data exchange and functionality sharing between systems without manual intervention.
BigQuery is Google Cloud's fully managed, serverless data warehouse that enables scalable analysis over petabytes of data using standard SQL, with built-in machine learning capabilities and pay-per-query pricing.
ERP integration is the process of connecting an Enterprise Resource Planning system with other business applications to enable automated data flow and eliminate manual data entry between systems.
HubSpot is an inbound marketing, sales, and customer service platform that provides CRM, marketing automation, and analytics tools, increasingly used as a source of customer and pipeline data for financial reporting.
Microsoft Dynamics is a line of enterprise resource planning (ERP) and customer relationship management (CRM) software applications, including Dynamics 365 Business Central, Finance, and Sales, integrated with the Microsoft ecosystem.
NetSuite is Oracle's cloud-based ERP platform that combines financial management, CRM, e-commerce, and inventory management in a single system, primarily used by mid-market and growing companies.
PostgreSQL is a powerful open-source relational database management system known for reliability, feature richness, and standards compliance, commonly used for operational databases and increasingly for analytical workloads.
QuickBooks is Intuit's accounting software platform available in desktop and cloud (QuickBooks Online) versions, widely used by small businesses for bookkeeping, invoicing, and basic financial management.
Amazon Redshift is AWS's fully managed, petabyte-scale cloud data warehouse that uses columnar storage and parallel processing to deliver fast query performance for analytics and business intelligence workloads.
Sage is a multinational enterprise software company offering a range of accounting and ERP solutions including Sage Intacct, Sage 50, Sage 100, and Sage 300, serving businesses from small companies to mid-market enterprises.
Salesforce is the world's leading customer relationship management (CRM) platform, providing cloud-based software for sales, service, marketing, and commerce, and increasingly important as a data source for financial reporting and revenue analytics.
SAP is a German multinational software corporation that produces enterprise resource planning (ERP) software, with SAP S/4HANA being its flagship cloud ERP platform used by large enterprises to manage finance, supply chain, manufacturing, and human resources.
Snowflake is a cloud-native data warehouse platform that separates storage and compute, enabling organizations to store, process, and analyze large volumes of data with flexible scaling and pay-per-use pricing.
Xero is a cloud-based accounting software platform founded in New Zealand, designed for small businesses and their accountants, known for its clean interface, strong bank feeds, and extensive app ecosystem.
Excel sync is the automated synchronization of data between external sources and Microsoft Excel spreadsheets, enabling live data updates without manual exports or copy-paste workflows.
Accounts payable (AP) represents money owed by a company to its suppliers and vendors for goods or services received but not yet paid, a current liability on the balance sheet and a key component of working capital management.
Accounts receivable (AR) represents money owed to a company by its customers for goods or services delivered but not yet paid, a current asset on the balance sheet and a critical factor in cash flow management.
Accrual accounting is the accounting method that records revenue when earned and expenses when incurred, regardless of when cash is exchanged, providing a more accurate picture of financial performance than cash-basis accounting.
Budget vs actual (BvA) analysis compares planned financial performance to actual results, identifying variances that reveal where the business is over or under-performing relative to expectations.
Cash flow forecasting is the process of estimating future cash inflows and outflows over a defined time period to help organizations anticipate liquidity needs, plan financing, and make informed strategic decisions.
A chart of accounts (COA) is the organized listing of all accounts used by an organization to record financial transactions, typically structured by account type (assets, liabilities, equity, revenue, expenses) with unique identifiers and descriptions.
Cost variance analysis is the process of comparing actual costs to budgeted or standard costs, quantifying the differences, and investigating the causes, enabling organizations to control costs and improve operational efficiency.
Finance transformation is the process of modernizing a finance function's people, processes, and technology to shift from reactive, backward-looking reporting to proactive, strategic business partnership.
The financial close process is the end-of-period sequence of accounting activities required to finalize financial statements, including reconciliations, journal entries, intercompany eliminations, and management reporting, performed monthly, quarterly, and annually.
Financial reporting is the process of producing statements and reports that communicate an organization's financial performance and position to stakeholders, including income statements, balance sheets, and cash flow statements.
FP&A (Financial Planning & Analysis) is the finance function responsible for budgeting, forecasting, financial modeling, and delivering analytical insights that support strategic decision-making across the business.
The general ledger (GL) is the master accounting record containing all financial transactions of an organization, organized by account, serving as the authoritative source for preparing financial statements.
Intercompany elimination is the accounting process of removing transactions between related entities during consolidation, ensuring that internal sales, loans, and transfers don't inflate the consolidated financial statements.
Job costing is an accounting method that tracks all direct materials, direct labor, and overhead costs assigned to a specific job, project, or production run, enabling manufacturers and contractors to calculate the true profitability of individual jobs.
A KPI (Key Performance Indicator) is a measurable value that demonstrates how effectively an organization is achieving a key business objective, used by finance and operations leaders to track performance, identify problems early, and drive strategic decisions.
Leading indicators are forward-looking metrics that predict future business outcomes and enable proactive intervention; lagging indicators are backward-looking metrics that measure past results. Effective finance functions track both to manage performance before problems appear in the P&L.
Management reporting is the process of preparing and delivering financial and operational performance reports to internal stakeholders, enabling leaders to monitor KPIs, identify variances, and make informed decisions about the business.
Month-end close is the accounting process of finalizing all financial transactions, reconciling accounts, and producing accurate financial statements at the end of each month.
Overhead absorption is the process of allocating indirect manufacturing costs (overhead) to individual products, jobs, or production runs based on a predetermined rate, ensuring all production costs are captured in product cost calculations and inventory valuations.
Profitability analysis is the process of evaluating the profit contribution of individual customers, products, channels, or business units to identify which areas of the business are generating or destroying value, enabling smarter resource allocation and pricing decisions.
Reconciliation is the accounting process of comparing two sets of records to verify they agree, such as matching bank statements to general ledger entries, or subledger balances to GL accounts, ensuring accuracy and identifying discrepancies.
Revenue recognition is the accounting principle that determines when revenue should be recorded in financial statements, under ASC 606, revenue is recognized when performance obligations are satisfied, not simply when cash is received.
Standard costing is a cost accounting method that assigns predetermined expected costs to products or production activities, providing benchmarks against which actual costs are compared to identify variances and control manufacturing costs.
Variance analysis is the process of comparing planned or expected financial results to actual results, quantifying the differences, and investigating root causes, enabling finance leaders to diagnose performance problems and take corrective action.
Work in Progress (WIP) refers to partially completed goods, jobs, or projects that have incurred costs but haven't yet been converted to finished inventory or recognized as revenue, a critical metric for managing cash flow and margins in manufacturing and project-based businesses.
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