Saturday, 19 October 2013

Oracle Industry Data Model - Retail, Telecom and Airlines

Oracle Industry Data Model is family of standards-based data model, designed and optimized to combines industry application knowledge with the power of Data Warehouse and Business Intelligence platforms. With pre-built data mining, On-line Analytical Processing (OLAP) and dimensional models, it delivers industry-specific metrics and insights which would improve bottom line of offerings.
These Industry Data Models can be used in any application environment and are easily extendable.  With Oracle Industry Data Model, companies can jump-start the design and implementation of an industry-specific data warehouse with predictable implementation efforts.
These are coupled as database options along with pre-developed analytical contents.  This blog is an attempt to introduce the various Oracle Industry Data Model offerings, pluses and minuses along with the market presence in comparison with Teradata Industry Model. 

Oracle Industry Data Model
The major Oracle Industry Data Models are as follows 

Oracle Retail Data Model (ORDM)
Oracle Retail Data Model provides the basis for operational reporting, detailed analysis, fraud detection & loss prevention, as well as forecasting, trend & predictive analysis for retail industry. 

Oracle Retail Data Model (ORDM) delivers retailer and market insight 

  • Marketing activities such as customer service management, promotions, advertising, and campaigns
  • Customer-specific insights such as segmentation, sentiment analysis, call center interactions, and customer loyalty 
  • Merchandising-specific insights including market basket, price elasticity, and product affinity analysis
Oracle Airline Data Model (OADM) 

The Oracle Airline Data Model (OADM) is a standards-based data model, designed and optimized for Oracle data warehouses, and is a key component of the Oracle Passenger Data Management Industry Solution.

Oracle Airline Data Model provides insight into Bookings, Revenue and channel performance

  • Detail transaction storage and advanced analysis into a full range of airline subject areas, including reservations, sales, operations loyalty and finance  
  • Uses reservation data to provide detailed insight into passenger bookings
  • Allows analysis of passenger revenues by geography, time period and flight 
  • Provides insights into loyalty program member activity thru a variety of reports 
Oracle Communications Data Model (OCDM) 

Oracle Communications Data Model (OCDM) is a standards-based data model designed and optimized for Oracle data warehouses, including the Sun Oracle Database Machine for providing insight to communications service providers (CSPs)

Oracle Communications Data Model (OADM) provides communication industry specific actionable intelligence
  • Pre-built, pre-tested solution designed by industry experts to help CSPs maximize the value of their Oracle data warehouse.
  • Pre-built OLAP and Mining models deliver industry-specific insights that are relevant, actionable, and can improve both top-line and bottom-line results.
  • Comprehensive Metadata for Business Intelligence Reporting and Ad-hoc Query
Advantages of Industry Data Model 

It is perfect blend of domain knowledge and technology
  • With strong domain expertise, Industry Data Model provides an industry standards-compliant foundation schema that is modern, relevant, topical, and addresses the needs almost all the segments
  • Normalized data model serves as a detailed and structured representation of the business, providing an integrated base for business information with fully defined entities and relationships.
  • Based on data warehousing technology, the Oracle Industry Data Model ensures scalability and performance in the delivery of detailed transaction-level information. 

Rapid Implementation, Predictable Costs Lead to Higher ROI

  • Rapidly deploy wherever your opportunities are greatest—from virtually any point
  • Realize a faster return on investment by reducing the need for a large and lengthy development effort   
  • Based on industry standards, ensuring interoperability with other retail systems

I know the content included in this blog sounds like a marketing/sales pitch, I would like to put on some meat to these structures in forthcoming blog entries. I would like to highlight shortcomings and limitations of Industry Data Models based on my practical experience.


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