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Lead Historical Analytics Subject Area

Availability

This subject area is available in all editions of Oracle CRM On Demand.

Business Purpose

This subject area allows you to analyze the lead metrics by account, account territory, campaign, contact, date, lead, opportunity, owned by user, and principal partner account. This subject area contains record types that refer to metrics that analyze the lead quality, lead conversion, and revenues associated with leads.

Relationship Type

Simple

Optimized Custom Fields for V3 Analytics only

This subject area has custom fields that are optimized to reduce the query time when they are used in filters. Optimized custom fields are in folders where the name ends with Optimized Custom Fields or Optimized Custom Metrics, such as Account Optimized Custom Fields and Opportunity Optimized Custom Metrics. Numeric custom fields, such as those with a type of CUR, INT, or NUM, are available as metrics in the optimized custom metrics folder, if the record type is the driving object in a specific subject area. For example, the Account record type is the driving object in the Account History subject area.

The following record types have optimized custom fields and metrics coverage in Oracle CRM On Demand and one or more of these record types might be present as dimensions or facts in this subject area:

Record Type

Oracle CRM On Demand Coverage

Account

All optimized fields

Activity

All optimized fields

Assessment

All optimized fields

Campaign

All optimized fields

Contact

All optimized fields

Custom Objects

All optimized fields in CO1 - CO9

Lead

All optimized fields

Opportunity

All optimized fields

Opportunity Team

First five optimized fields of each type

Product

All optimized fields

Revenue

All optimized fields

Service Request

All optimized fields

Questa area argomenti contiene campi ottimizzati per ridurre il tempo di esecuzione delle query quando vengono utilizzati nei filtri. I campi ottimizzati sono preceduti dalla parola Codice o UTC. Ad esempio, la dimensione Account dispone di un campo Tipo di cliente. Esiste anche un campo Codice tipo cliente, che è la versione ottimizzata del campo Tipo di cliente. Analogamente, esiste un campo UTC data indicizzata, che è la versione ottimizzata del campo Data indicizzata. L'uso del campo ottimizzato nel filtro consente di velocizzare l'esecuzione delle query. Questo metodo risulta più rapido rispetto all'uso del filtro standard. Per informazioni sull'uso dei campi di filtro ottimizzati, vedere Uso di campi filtro ottimizzati. In questa area argomenti le dimensioni seguenti hanno campi filtro ottimizzati:

  • Campaign
  • Lead

Dimensions

This subject area has the following dimensions:

  • Account
  • Account Territory
  • Campaign
  • Contact
  • Date
  • Lead
  • Opportunity
  • Owned By User
  • Principal Partner Account (available only in Oracle CRM On Demand Partner Relationship Management Edition)

Metrics

The complete list of metrics for this subject area is as follows:

  • Lead Metrics
    • Number (#) of Archived Leads
    • Number (#) of Leads
    • Number (#) of Leads Converted to Opportunities (Definition: The number of leads that has been converted to opportunities.)
    • Number (#) of Leads Resulting in Lost Opportunity
    • Number (#) of Leads Resulting in Won Opportunity (Definition: The number of leads that has been converted to opportunities and is in the Closed/Won sales stage.)
    • Number (#) of New Opportunities
    • Number (#) of Qualified Leads
    • Number (#) of Rejected Leads
    • Number (#) of Wins
    • Average (Avg) Days to Convert Lead (Definition: The number of days between the lead-created date and lead-converted date divided by the number of leads that were converted to opportunities.)
    • Avg Days to Followup Lead (Definition: The number of days to follow up on the lead divided by the number of leads.)
    • Closed Revenue for Lead
    • Expected Revenue for Lead
    • Opportunity Revenue for Lead
    • Projected Revenue

Usage Notes

The Account and Contact dimensions include a Book hierarchy, which enables you to analyze metrics and related attributes at any level.


Data di pubblicazione : settembre 2017 Copyright © 2005, 2017, Oracle. Tutti i diritti riservati. Legal Notices.