What’s New for Oracle Analytics for Applications

Here’s an overview of the new features and enhancements added recently to improve your Oracle Analytics for Applications experience.

Release 4.0 - July 2020

General

Feature Description
Experience Oracle Analytics for Applications using the product trials Request for an Oracle Analytics for Applications trial and use it to analyze your Oracle Applications Cloud data. See Place and Activate the Order for Oracle Analytics for Applications and Create an Oracle Analytics for Applications Trial Instance.
Enable Oracle to manage your resources without your active intervention Add an Oracle Cloud Infrastructure Identity and Access Management policy to enable Oracle to manage your resources without your active intervention. See Add an Oracle Cloud Infrastructure Identity and Access Management Policy.
Add a dimension Add a custom dimension table to an existing subject area and joins to a fact table. See Add a Dimension.
Add a hierarchy Add a hierarchy to a dimension table in an existing subject area. See Add a Hierarchy.
Add session variables Add a custom session variable that you can include in an analysis. See Add Session Variables.

Release 3.1 - May 2020

General

Feature Description
Validate your data Validate the data after loading the source data in to your data warehouse. See Validate Your Data.
Enrich your data You can supplement your reports by using data sets that you create with specific columns from various view objects (VOs) from the Oracle Applications Cloud data sources. See Enrich Your Data.
Add a fact table Add a fact table to an existing subject area. See Add a Fact Table.
Reorganize subject areas Reorganize the ready-to-use subject areas to create a subject area. See Reorganize Subject Areas.
Create email notifications for KPIs Enable email notifications for KPIs so that you know when the status changes. See Orientation Configure and Use Notifcations.
Customize KPIs Customize Oracle-provided KPIs or create a copy of a KPI to customize. See Customize a KPI.

Oracle Analytics for Enterprise Resource Planning

Feature Description
Reporting Currency Ledgers Oracle Analytics for Enterprise Resource Planning supports Reporting Currency with Balance type in GL Balance Sheet and GL Profitability subject areas.
Document Currency Oracle Analytics for Enterprise Resource Planning supports all metrics in document currency in the General Ledger, Accounts Payables, and Accounts Receivables subject areas.
New subject area The AR Revenue subject area enables you to analyze revenue. This subject area provides details for the key metrics related to revenue sourced from AR transaction distribution and revenue recognition. You can analyze these metrics by Transaction Details, Business Units, Customer Accounts, and CoA Segments.
Enhanced subject areas These subject areas have been enhanced:
  • AP Balances subject area is merged with AP Aging subject area to work based on Invoice Remaining Amount logic in AP Installments. This subject area supports historical reporting of payables invoice aging. Historic aging snapshots for 24 months prior to the current date are available.
  • AR Balances subject area is merged with AR Aging subject area to work based on Invoice Remaining Amount logic in AR Schedules. This subject area supports historical reporting of receivables invoice aging. Historic aging snapshots for 24 months prior to the current date are available.
  • The Accounts Payables and Accounts Receivables subject areas show accounts of post subledger accounting generated based on the subledger accounting rules instead of the default accounts generated in the respective subledgers, including support for manual account override.
Attributes added to existing subject areas These subject areas have new attributes:
  • Attributes added to the General Ledger subject area are Journal Reversal Status and Journal Created By for Headers and Lines.
  • Attributes added to the Accounts Payables subject areas are Invoice Group, Discount Due Date, Supplier Type, Installment Number, Invoice Updated By, Invoice Creation Date, Invoice Accounting Date, Expense Distribution Accounting Date, Payment Accounting Date, and Hold Indicator.
  • Attributes added to the Accounts Receivables subject areas are AR Transaction Accounting Date, Receipt Accounting Date, Receipt Application Accounting Date, Credit Memo Application Accounting Date, and Adjustment Accounting Date.
Metrics added to the Accounts Payables subject areas These metrics have been added to the Accounts Payables subject areas:
  • AP Payments Exchange Loss (Gain) Amount
  • Header Holds count
  • Line Holds count
Descriptive Flex Field as Dimension/Attributes in existing subject areas You can enable the Descriptive Flex Field (DFF) in the General Ledger, Accounts Payables, and Accounts Receivables subject areas such as Journal Batch, AP Invoice Headers and Lines, AR Transactions and Lines, AR Receipts, Supplier, and Customer.

See Implementing Oracle Analytics for Enterprise Resource Planning.

Oracle Analytics for Human Capital Management

Feature Description
Potential Band dimension The Potential Band dimension provides a grouping of potential ratings under various headers. For example, High, Medium, and Low. You can configure the rating ranges under these bands.
KPIs added for Human Capital Management These KPIs have been added for Human Capital Management:
  • Top Talent Ratio KPI provides the ratio of workers with high performance and potential values against the total workforce.
  • Low Talent Ratio KPI provides the ratio of workers with low performance and potential values against the total workforce.
  • Termination by High Performer KPI provides the count of terminations that are rated high in performance.
  • Terminations by Top Talent KPI provides the count of terminations that are rated high in performance and potential.
  • Retention by Talent KPI provides the retention percentage by each talent 9-box based on performance and potential.
  • Turnover by High Performer KPI provides the ratio of high performer terminations against the total headcount.
  • Turnover by Top Talent KPI provides the ratio of high performer and potential terminations against the total headcount.
Talent Retention % card in the Workforce Management deck This card provides the percentage of talent retained by each of the boxes in the performance versus the potential 9-box.
Top Talent Retention detailed page The detailed page provides an analysis of the performance and potential ratings of the workers. It provides the details of the workers that have been identified as top talent in the organization and are retained. A 9-box analysis of the employee retention by their talent ratings is available through this page.

See Implementing Oracle Analytics for Human Capital Management.

Release 3.0 - March 2020

Feature Description
Support for Oracle Analytics Cloud available on Oracle Cloud Infrastructure Gen 2. When you subscribe to Oracle Analytics for Applications, you get Oracle Analytics Cloud on Oracle Cloud Infrastructure Gen 2 in North America (Ashburn) and EMEA (London) along with it. The Oracle Analytics Cloud instance created inline is based on an included capacity model similar to Oracle Autonomous Data Warehouse. In this model, you won't be billed for the included capacity. If you choose to scale your Oracle Analytics Cloud instance, then you would be charged the difference between the scaled value and the included capacity. See About Oracle Analytics for Applications.
Oracle Analytics for Human Capital Management Oracle Analytics for Human Capital Management allows you to make data-driven decisions and to test the effectiveness of Human Resources policies. You can analyze data to gain insights that you can act on and to gather information to meet specific requirements. For example, you can answer questions such as "What is the voluntary turnover rate" and "What is the expected turnover rate for this quarter based on previous quarters?". See About Reporting Configuration for Human Capital Management.

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