
Data Warehouse Solutions - Integrated Granular Data Management | Subject-oriented, Non-volatile, Time-variant Architecture
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Product Specifications
| Data Quality | High |
| Data Sources | Multiple |
| Database Type | Relational |
| Features | Data Integration, Improved Insights, Better Decisions, Streamlined Processes, Reduced Costs, Enhanced Efficiency |
| Integration Methods | ETL, ELT |
| Reporting Tools | OLAP |
| Scalability | Flexible |
| Usage | Business intelligence and decision support. |
Product Overview
Key Features
Here we will describe some of the more important aspects of the data warehouse. A data warehouse is a subject-oriented, integrated, non-volatile, and time-variant collection of data in support of managementa s decisions. The data warehouse contains granular corporate data.
The subject orientation of the data warehouse is shown in Figure below. Classical operations systems are organized around the applications of the company. For an insurance company, the applications may be auto, health, life, and casualty. The major subject areas of the insurance corporation might be customer, policy, premium, and claim. For a manufacturer, the major subject areas might be product, order, vendor, bill of material, and raw goods. For a retailer, the major subject areas may be product, SKU, sale, vendor, and so forth. Each type of company has its own unique set of subjects.
Company Details
Business Type
Exporter, Importer, Manufacturer, Service Provider
Establishment
2003
Working Days
To
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Seller Details
Miami, Florida
Vice President - Marketing
Mr. Rajamanikandan N. V.
Address
123, route backend, Miami, Florida, 123132, United States
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