Retail
 

 

RETAIL: Oracle Retail Data Model (ORDM) – An Overview

 

Retail, per se, involves the sale of goods and services from individuals or businesses to the end-user and it will not be wrong to assert that it continues to be one of the most lucrative businesses. Of course, with time, the manner in which the business is conducted has changed and today, along with the traditional stores in our locality or in the good old market places, we, the consumers/ customers can visit glittering brand-specific shops in state-of-the-art malls or go to a chain store belonging to a retail giant and if all these options are not enough, online retailing is just a ‘click’ or smart-phone away.

 

Yes! Thanks to competition and technology, the retail industry has undergone a sea change and there is no doubt that technology will continue to connect as well as interact with social and economic trends and create the future of the retail industry. Thus, those engaged in this field will have to make the utmost use of it. Although, it is a difficult proposition to predict as to how the business models and markets will be affected by emerging technologies, retailers will be facing fresh challenges in trying to figure how as to how the existing technologies can be integrated in a manner that will enable them to offer better value-based services to customers; create new customer-base; give them significant advantage against their competitors and also drive growth.

 

Having said all this, it now seems like a good idea to introduce the Oracle Retail Data Model – ORDM – at this juncture - and inform those associated with the retail industry as to how ORDM can change the manner in which they do business.   

 

ABOUT ORDM:  Oracle ranks number one for retails and data warehousing in the industry and the Oracle Retail Data Model (ORDM) is a world standards-based, enterprise-level, next-generation data warehouse and business intelligence (BI) platform that is designed and optimized for Oracle Database. It is designed to help retailers maximize their return-on-investment (ROI) for BI projects. By using built-in predictive analytics, ORDM enables retailers to develop data analysis capabilities that empower them to deliver relevant, timely, and actionable retail-specific insights.


ORDM has many advantages – It is complete; open and integrated, and delivers retailer and market insight quickly. Its rapid implementation and predictable costs lead to higher ROI and combines deep retail market expertise with industry-leading technology. 
ORDM can be utilised by grocery stores; grocery chain owners; convenience stores; departmental stores; stores offering goods at discounted rates; stores dealing in hard goods; apparel and footwear; soft goods; gas stations and so on.

 

It will be of interest to note that ORDM has multiple layers and each customised layer enables the retailer to get detailed answers to certain pertinent questions like: ‘Is the product assortment optimal for all my regions?’ ; ‘What are my potential out-of-stock situations?’ ; ‘How is the business doing compared to last year?’  And so on.

 

 

 KEY FEATURES OF ORDM

 

·         Retail expertise with best-in-class technology

 

·         ARTS based normalized data model

 

·         Modern and topical with retail depth and breadth

 

·         Intelligent retail insight using OLAP & Mining

 

·         Extensive business intelligence metadata

 

·         Easily extendable & customizable model

 

·         Usable within any retail environment

 

·         Designed and optimized for VLDB

 

·         Automated data flow between component

 

·         Reduced implementation risk