Your Record to Report - Period Close & Reconciliation Data Template

This attribute records the distinct steps in the period close workflow, such as 'Subledger Period Closed', 'Account Reconciliation Started', or 'Financial Statements Generated'. Each activity represents a milestone or action taken during the process.

Analyzing activities is the foundation of process mining. It allows for the visualization of the process map, identification of bottlenecks by measuring the time between activities, and analysis of process variants to understand deviations from the standard procedure.

It defines the steps of the process, which is essential for visualizing the process flow, discovering bottlenecks, and analyzing deviations.

This is typically derived from transaction descriptions, status changes, or event logs within various Oracle Fusion Financials modules like General Ledger, Subledger Accounting, and Financial Consolidation and Close.

The Financial Period serves as the primary case identifier, grouping all activities related to closing and reconciling accounts for that specific reporting cycle. Each period, for example 'Jan-2023' or 'Q1-2024', represents a single instance of the period-end close process.

In process mining analysis, this attribute allows for a comprehensive view of the entire period close process from start to finish. It is used to calculate the overall cycle time, compare performance across different periods, and identify trends or systemic delays in the closing process over time.

This is the core identifier that connects all related closing activities into a single process instance, enabling end-to-end analysis of each period close cycle.

This is typically derived from the period name or ID in the General Ledger module, often found in tables like GL_PERIOD_STATUSES in Oracle Fusion Financials.

The Start Time, or event timestamp, records the exact date and time that an activity was executed or a status change occurred. This is a critical piece of data for ordering events chronologically and calculating durations.

In process mining, this timestamp is used to construct the sequence of events for each financial period, calculate the duration of activities, and measure the overall cycle time of the process. It is fundamental for performance analysis, bottleneck identification, and deadline compliance monitoring.

This timestamp is essential for ordering events, calculating all time-based metrics like cycle time and activity duration, and understanding the process timeline.

This information is typically found in creation date, last update date, or transaction date fields associated with journals, reconciliations, and period statuses across Oracle Fusion Financials modules.

This attribute records the date and time of the most recent data extraction from Oracle Fusion Financials. It reflects the freshness of the data being analyzed in the process mining tool.

It is important for users to understand how current the analysis is. This timestamp helps them gauge the reliability of real-time dashboards and reports, ensuring that decisions are based on up-to-date information.

It informs users about the timeliness of the data, which is critical for making decisions based on the process analysis.

This is a metadata field generated and stored during the data ingestion pipeline, recording the timestamp of the extraction run.

This attribute identifies the information system where the event data originated. For this process, it will consistently be Oracle Fusion Financials, but it can be useful in environments where data might be blended from multiple systems.

In analysis, this provides context about the data's origin, which is crucial for data governance, validation, and understanding the technological landscape of the process. It helps ensure that insights are correctly attributed to the right application environment.

It provides crucial context about the data's origin, ensuring clarity in multi-system environments and aiding in data governance.

This is typically a static value added during the data extraction process to label the origin of the dataset.

This attribute captures the outcome or current state of a specific task within the period close. For example, a journal import might be 'Successful' or 'Failed', and a reconciliation might be 'Approved' or 'Rejected'.

This status is vital for understanding process exceptions and outcomes. It allows analysts to identify failure rates for automated jobs, track rejection loops in approval workflows, and monitor the real-time progress of the close by seeing which activities are pending versus completed.

Tracking the status helps identify exceptions, failures, and rework loops, providing insight into process quality and reliability.

This is typically found in status fields on transaction headers or lines within Oracle Fusion Financials modules.

The Company Code, or Legal Entity Identifier in Oracle terminology, represents the specific business entity undergoing the period close. In a global organization, there will be many company codes, each with its own closing process.

This attribute is essential for comparative analysis. It allows management to benchmark the period close performance of different legal entities, identify which entities are following standard processes, and pinpoint where deviations or delays are occurring. It is a key filter for drilling down into specific parts of the business.

This allows for filtering and comparing the close process across different legal entities, which is critical for standardizing global processes.

This corresponds to the Legal Entity or Balancing Segment Value in the Chart of Accounts. It is a key attribute on nearly all financial transactions in Oracle Fusion Financials.

This attribute indicates the department, such as 'Corporate Accounting', 'FP&A', or 'Internal Audit', responsible for or involved in the period close activity. It provides an organizational context to the process.

Segmenting the process by department is a powerful analysis technique. It allows for comparing the closing process efficiency across different business units, understanding how inter-department handoffs impact timelines, and analyzing workload distribution at a departmental level.

It enables comparison of processes across different parts of the organization, helping to identify best practices and standardize procedures.

This may be derived from the user's profile, the GL Account's cost center segment, or the legal entity's organizational structure within Oracle Fusion Financials.

The End Time records the exact date and time that an activity was finished. While Start Time marks the beginning, End Time marks the completion, allowing for precise duration calculation for each step.

This attribute is essential for calculating the processing time of individual activities. By subtracting the Start Time from the End Time, analysts can pinpoint which steps in the period close process consume the most time, directly highlighting bottlenecks and inefficiencies.

It enables the calculation of activity processing times, which is fundamental for identifying bottlenecks and measuring operational efficiency.

Similar to Start Time, this is often found in last update date fields or specific completion date fields in Oracle Fusion Financials transaction tables.

This attribute categorizes journal entries based on their purpose. A key type for this process is 'Adjusting', which often indicates corrections or reclassifications resulting from reconciliation activities.

This is crucial for the 'Adjusting Journal Entry Volume' KPI and dashboard. By filtering for adjusting entries, organizations can monitor the frequency of corrections, which often points to upstream issues in transaction processing or accounting policies. Reducing these adjustments is a key goal of process improvement.

This helps isolate adjusting entries from routine postings, enabling focused analysis on rework and correction activities during the close.

This is often found in the JE_CATEGORY and JE_SOURCE fields in the GL_JE_HEADERS table. A mapping may be needed to create a simplified type.

This attribute classifies the type of reconciliation, such as Balance Sheet, Profit & Loss, or Intercompany. Different types of reconciliations may follow different workflows or have different levels of complexity and risk.

This is used to support the 'Reconciliation Performance by Type' dashboard. By filtering on this attribute, analysts can compare the cycle times and volumes for different reconciliation categories, identifying which types are most prone to delays or backlogs and require process improvement.

It enables targeted analysis of the reconciliation process, helping to identify bottlenecks specific to certain types of accounts like high-risk or intercompany reconciliations.

This can be derived from the account type in the Chart of Accounts or from attributes within the Account Reconciliation Cloud Service (ARCS) module if it is in use.

This attribute identifies the specific user responsible for executing a given task, such as the accountant who approved a reconciliation or the controller who generated financial statements. It is typically linked to a user ID or employee name.

Analyzing the responsible user helps in understanding workload distribution, identifying training needs, and evaluating team or individual performance. It is key to building dashboards that monitor workload balance and ensure tasks are distributed effectively during the high-pressure period close.

It is crucial for analyzing workload distribution, resource allocation, and identifying opportunities for automation or training.

This information is usually available in 'Created By' or 'Last Updated By' fields on transactional records in Oracle Fusion Financials, such as journal entries or reconciliation objects.

This attribute stores the expected completion date for key milestones in the closing process, as defined by the close calendar or internal SLAs. It serves as the benchmark against which actual performance is measured.

This date is fundamental for the 'Compliance with Close Deadlines' dashboard and the 'Close On-Time Rate' KPI. By comparing the actual completion time (EventTime) with this target date, the system can automatically flag delays and measure adherence to schedule, helping to enforce discipline in the closing process.

It enables the measurement of on-time performance and compliance with deadlines, which is critical for timely financial reporting.

This information is often maintained in a close management tool or a custom close calendar configuration within Oracle Financials.

This is a calculated metric that represents the elapsed time from when an activity started to when it ended. It is computed as EndTime minus StartTime.

This metric is the primary tool for bottleneck analysis. By aggregating and visualizing the duration of each activity, analysts can immediately identify the longest steps in the process. This allows them to focus improvement efforts on the areas with the greatest potential for time savings.

This calculated metric directly measures the time spent on each task, making it the most important attribute for identifying process bottlenecks.

This is calculated during data transformation by subtracting the StartTime from the EndTime (EndTime - StartTime).

This attribute specifies the country where the legal entity operates. It provides geographical context for the period close process.

Analyzing the process by country can reveal variations due to local statutory requirements, different business practices, or the performance of regional shared service centers. It allows for geographical benchmarking and understanding the impact of regional differences on process efficiency.

It enables geographical analysis of the close process, highlighting variations due to local regulations or regional team performance.

This is typically derived from the configuration of the Legal Entity or Business Unit in Oracle Fusion Financials.

This attribute provides the specific GL account number involved in an activity, such as an account reconciliation or an adjusting journal entry. It provides a granular level of detail for financial analysis.

It is used to analyze adjusting journal entry volumes and reconciliation performance at the individual account level. This helps to identify problematic accounts that frequently require adjustments or have long reconciliation times, indicating underlying issues in sub-processes.

Provides a granular view for identifying problematic accounts that consistently require adjustments or have reconciliation delays.

This is a fundamental field in GL tables like GL_JE_LINES and is central to any reconciliation process.

This boolean attribute (true/false) identifies transactions or reconciliations that involve intercompany partners. These activities are often more complex and prone to mismatches and delays.

This flag is essential for the 'Intercompany Reconciliation Flow' dashboard and 'Intercompany Reconciliation Rate' KPI. It allows for isolating and analyzing this specific sub-process to identify unique bottlenecks related to cross-entity transactions and improve the accuracy of consolidated financial statements.

It isolates the often complex and problematic intercompany reconciliation process for targeted analysis and optimization.

This can be identified from specific intercompany modules in Oracle (AGIS) or by analyzing journal entries where the company code segment differs between lines or balancing segments.

This boolean attribute compares the actual completion timestamp of an activity (EventTime or EndTime) against its planned deadline (TargetCompletionDate). It is true if the activity was on time or early, and false if it was late.

This provides a simple, clear measure of schedule adherence and is the basis for the 'Close On-Time Rate' KPI. It helps in quickly identifying bottlenecks that cause deadline breaches and provides a clear metric for managers to monitor compliance with the close calendar.

This provides a clear, binary measure of schedule adherence, making it easy to track compliance with critical close deadlines.

This is calculated during data transformation by comparing the EventTime to the TargetCompletionDate (EventTime <= TargetCompletionDate).

This boolean attribute is derived from the process flow and flags activities that indicate rework. A common example in period close is an 'Adjusting Journal Entry Posted' activity that occurs after a 'Reconciliation Approved' activity for the same account, suggesting the reconciliation was insufficient.

This attribute is used to quantify the frequency and impact of rework, which is a major source of inefficiency. By identifying and analyzing rework loops, organizations can diagnose the root causes of errors, such as inadequate training or flawed procedures, and take corrective action.

It directly quantifies process inefficiency by flagging activities that correct previous work, helping to identify root causes of errors.

This is calculated by defining rework patterns in the process mining tool, for example, a sequence of 'Approval' followed by 'Correction'.

This attribute captures the monetary value of a journal entry. It can represent the magnitude of an adjustment, accrual, or any other financial posting.

Analyzing the amount of adjusting entries provides insight into the financial impact of process errors or exceptions. Large or frequent adjustments may signal significant control weaknesses or issues that require immediate attention. This adds a layer of materiality to the analysis of journal volumes.

It helps to assess the financial impact and materiality of adjustments, distinguishing between minor corrections and significant financial restatements.

This value needs to be calculated by summing the debit amounts from the GL_JE_LINES table for a given journal entry.

This attribute is the unique system-generated ID for a general ledger journal entry. It is particularly relevant for activities related to posting manual or adjusting entries.

It is used to track individual journal entries, especially adjusting entries, throughout their lifecycle. This ID helps in calculating the volume of adjustments and tracing rework back to specific financial postings.

It allows for tracking specific financial postings, which is essential for auditing and analyzing the volume and nature of adjusting entries.

This is the primary key in the GL_JE_HEADERS table, often named JE_HEADER_ID.

A ledger in Oracle Fusion Financials is a record of financial transactions defined by a chart of accounts, calendar, and currency. It can be a primary ledger for a legal entity or a secondary/reporting ledger for different accounting standards.

Analyzing by ledger is important for understanding processes that may differ based on accounting requirements (e.g., IFRS vs. US GAAP). It helps ensure that processes are compliant and efficient for each required reporting standard.

It provides crucial accounting context, allowing analysis to be segmented by different accounting standards or reporting requirements.

This is stored with financial data in core GL tables, often referenced by a LEDGER_ID in tables such as GL_JE_HEADERS and GL_BALANCES.

This is a case-level calculated metric representing the total duration of a financial period close. It is calculated as the timestamp of the last activity minus the timestamp of the first activity for a given Financial Period.

This is a primary key performance indicator (KPI) for the Record to Report process. It provides a high-level measure of the overall efficiency of the end-to-end process and is used to track improvement initiatives aimed at accelerating the close.

This KPI measures the end-to-end efficiency of the close process, which is a key focus for senior finance leadership.

This is calculated at the case level within the process mining tool by subtracting the earliest StartTime from the latest StartTime for a case.