Following is a list of Business Events provided by Oracle Product Hub:

Â

Â

Different types and structures of data exist within an organization. Here to go:

Master Data -Enterprise-level data entities that are of strategic value to an organization. These are typically non-volatile and non-transactional in nature. Typically example of such data are Customer, product, supplier, assets, System Name

Transaction Data-These are Business transactions that are captured during business operations and processes, such examples are PO, Invoices, PR , Payments etc .

Therefore, Data is intrinsically simple and can be divided into data that identifies and describes things, master data, and data that describes events, transaction data.

Reference Data- There are Internally managed or externally sourced facts to support an organization’s ability to effectively process transactions, manage master data, and provide decision support capabilities.

Typical example are as such :
States/Provinces/Territories
Cities within States/Provinces/Territories
Street names within cities
Street types (Dr, Lane, Boulevard...)
Street direction (N, NE, E, S...)
Blocks & Block Groups
Postal codes within states
Months of the year

Unstructured Data—This is data found in e-mail, white papers like this, magazine articles, corporate intranet portals, product specifications, marketing collateral, and PDF files.

Metadata -This is defined as “data about the data.” These data are Typically Used as an abstraction layer for standardized descriptions and operations.

Analytical Data -These data are derivations of the business operation and transaction data used to satisfy reporting and analytical needs. In the organziation such data typically reside in data warehouses, data marts, and other decision support applications.

Big Data -Data sets whose size is beyond the ability of commonly used software tools to capture, manage, and process the data within a tolerable elapsed time.

Big data typically refers to the following types of data:

• Traditional enterprise data includes customer information from CRM systems, transactional ERP data, web store transactions, general ledger data.
• Machine-generated /sensor data - includes Call Detail Records ("CDR"¨), weblogs, smart meters, manufacturing sensors, equipment logs (often referred to as digital exhaust), trading systems data.
• Social data includes customer feedback streams, micro-blogging sites like Twitter, social media platforms like Facebook

Customer Hub: Its all about knowing the Customer ! Agree or disagree ?

Did you encounter situation where you have to answer these question on company's customers and prospects ..

• Which of our services they are using and what they are NOT using?
• What do we cross-sell and up-sell to our existing customer base?
• What product bundles do sales propose that will increase the sale?
• Are we able to identify who are our top revenue generating top 10 customers?
• Are we able to identify who are most likely to churn out?
• Can we identify all the orders that have placed and what are their statuses?
• Are we billing for all the services that we are providing?
• Are we able to manage contracts with them both at divisional as well as corporate level?

In order to answer, you need Need a 360 degree view of the customer

Oracle CDH vs. Oracle-Siebel UCM

Oracle actually sells two products on customer Data hubs -Oracle CDH and Siebel UCM (Which is now Oracle UCM). But these products are positioned differently in the markets .

Both these products revolve around mastering of the “Customer” entity.

Oracle CDH or “Customer Data Hub” is a member of the Oracle Fusion Middleware family of products and has built-in integration capabilities with other Oracle E-Biz suite modules.

Siebel UCM, is the Siebel Customer mastering solution.

Oracle CDH is mainly focused on manufacturing, hi-tech, Retail and Distribution industries whereas Siebel UCM is targeted for telecommunications, media, financial services and government.

Enterprises implementing customer Data Hubs should evaluate these two products and choose from these based on their requirement.

UCM (Universal Customer Master) release 8.0 has more capabilities than CDH in terms of Data extensibility model, Data quality features and its strong interfaces to various third party tools like Trillium etc [Reference www].

On the weaker side, Oracle CDH and UCM are lacking in terms of dash boarding, reporting facilities, data steward facilities through web, registry-style implementations.

if you need more information, take a deeper dive.

 

Customer Hub: Its all about knowing the Customer -> Siebel UCM What is Oracle Customer Data Hub (Oracle CDH)

Following is a list of Business Events provided by Oracle Product Hub:

[This blog post is contributed by Hub regular Visitor who worked almost 8 years in MDM and PDM area. You can reach them to author via email]

As we aware, Oracle Product Information Management Data Hub is an enterprise data management solution that enables customers to centralize and master all product information from heterogeneous systems, creating a single view of product information that can be leveraged across all functional departments.

Oracle Product Hub provides a full set of business services and data services, both at granular level and at business object level. These include Items creation/update, item change management process support, Items data gathering and data federation.Following is a list of APIs/Web Services provided by Oracle Product Hub , feel free to add in case if anything missed out.

[This blog post is contributed by Hub regular Visitor who worked almost 8 years in MDM and PDM area. You can reach them to author via email]

Oracle Product Information Management (PIM) Data Hub is an enterprise data management solution that enables customers to centralize all product information from heterogeneous systems,creating a single view of product information that can be leveraged across all functional departments.

Oracle Product Data Hub (PDH) module formerly known as Advanced Product Catalog has now become part of Oracle’s master data management suite of products.

Oracle Product Information Mgmt Solution consist of three major products as:

• Oracle PIM Data Hub
• Oracle PIM Data Librarian
• Oracle Product Data Synchronization for GDSN and UCCnet Services (PDS)

Oracle PIM Data Librarian is a web-based application that extends the functionality of the Oracle Inventory,Bill of Materials, Engineering, and Project Management modules.

Oracle PIM contains its own set of tables under the EGO (Engineering Online) schema, but still uses the standard Oracle Inventory, Bill of Materials, and Engineering tables.

• The item master in PIM is the same item master used by Oracle Inventory.
• User-defined product attributes and change management data are stored in the EGO
  tables.

Licensing requirement for Oracle PIM Data Hub gives customers the right to use PIM Data Librarian (which is licensed separately) on an instance other than the instance where the company has deployed the Oracle E-Business Suite. Licensing Oracle PIM Data Hub Add – On gives customers the right to use PIM Data Librarian (which is licensed separately) on the same instance where the company has deployed the Oracle E-Business Suite.

PIM Data Hub Benefits

With Oracle® Product Information Management Data Hub customers can

• Consolidate all product information
• Cleanse: Includes a data import workbench to manage source system mappings and data loads
• Excel based Imports and Exports: Spreadsheet import for easy upload and maintenance
• Bulk Imports: Optimized bulk import through staging tables
• Service Oriented Architecture: Integrate using prebuilt, standards compliant business services and adapters
• Import data and synchronize multiple systems.
• Workflow based Collaboration: Highly configurable change management workflows with approval routing
• Securely access and search your information repository
• From Governance and Compliance prospective they can automate with the help of workflow based processes that can perform rule based validation and data correction

Who needs PIM Data Hub?

• Those who need a 360 Degree secured view of the part attributes and transaction data
• Those whose item master have extensive item attributes
• Those who want synchronize product data from and to multiple systems
• Product information is scattered across desktops, legacy systems and custom applications. Need product data consolidation and cleansing.
• Need to manage New Part Introduction, Issues and Change Control processes efficiently via configurable robust workflow-driven processes
• Manage Data Governance and Compliance: Government and industry regulations such as RoHS, WEEE), and FDA Compliance (21 CFR Part 11)

[This blog post is contributed by Hub regular Visitor who worked almost 8 years in MDM and PDM area. You can reach them to author via email]

• Master Data - This is defined as the critical business information supporting the transactional and analytical operations of the enterprise.
• Master Data Management – Master Data Management (MDM) is a combination of applications, technologies and processes that
  consolidates, cleans, and augments this corporate master data,and synchronizes it with all applications, business processes, and analytical tools.
• Customer Data Integration (CDI) is a subset of MDM, specific to automating the management and reconciliation of Customer Data.
• Product Information Management (PIM) is a subset of MDM, specific to automating the management and reconciliation of Product Data

New CDH Web Services are based on the existing Business Object APIs of TCA;

• Spoke applications can leverage CDH Web Services to integrate with the Customer Data Hub
• New DQM Search Web Service to access matching in the Hub from any transactional application
• CDH Web Services leverage the Web Service standards such as WSDL (Web Services Description Language) and UDDI (Universal Description,
  Discovery and Integration)

Here are the list of some of CDH Web Services, that you can utilize it.

UCM : What is it?

A Siebel application which is the central master database/application for storing any and all unified profile for enterprise customers, partners, and prospects information.

In a large company, you have hundreds of various proprietary and legacy applications which deal with different parts of the customer information , some deal with service data, some with sales data, some others purely with demographics and contact data. UCM has the capability to synchronize and bring together all this data to give a single unified view of the customer as a whole.

From a Siebel application point of view, it’s just another application like Siebel Sales or Siebel Call Center application, built up on the same Data, Business and UI model

• Enables a single view of the customer
• Creates and maintains unique, complete and accurate customer information across the enterprise
• Distributes customer information to all operational applications just in time
• Enables organisations to:
• Know your customers
  • Improve data quality
  • Utilize customer insight during all customer interactions
  • Comply with privacy and regulatory requirements
  • Define events and policies
  • Reduce data management costs
  • Provides Telco-specific data attributes

UCM : Functionality

• Receives the transactions from external systems and applies them to it’s base tables and publishes the updates back to all the systems.
• Publish frequency - real-time, batch or event-based (e.g.:on-update of Contact )
• Siebel UCM Data Quality - in built component for data de-duplication
• Survivorship Rules - based on the defined confidence level for each system
• Easy setup for Auto/Manual merge
• Features to Un-Merge already merged records later on if desired.

Deployment Model

There are two deployment models for Siebel Master Data Applications:

• Combined : In this type of a deployment, Siebel MDM application shares the same database and Enterprise Server as any other Siebel eBusiness Application.

This deployment is used mainly for smaller company .

• Stand Alone : This is the recommended, and mostly used deployment model in which the Siebel Master is deployed on a separate box having it’s own database, separated from other Siebel eBusiness Application.

This is the preferred approach in big companies where the volume of transactions is large as well as the integrating systems are many.