Data Warehousing and Reporting Service
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A data warehouse is a combined repository of all the data gathered by an undertaking's different operational systems to make better informed decisions. It is a blend of technologies and components which permits the key utilization of information. It is a network storage for large amount of information from a diverse source for access and analysis rather than for transaction processing. Data Warehousing is the process of presenting the accumulating data, which acts as a central storage hub for a company’s integrated data consumed for access and analysis. The integrated information within the data warehouses is collected from all the branches of the company. In this procedure, data run from information producers to the data warehouse, which is transformed into information for the consumers. It includes transformation, filtering and separation of the data.
Business Intelligence & Data Warehousing (BI & DW)
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1. Enterprise Data Warehouse 2. Big Data Services 3. Data Quality & Data Migration 1. Enterprise Data Warehouse 2. Big Data Services 3. Data Quality & Data Migration 1. Enterprise Data Warehouse 2. Big Data Services 3. Data Quality & Data Migration
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Data Warehousing Services, Data Reporting Services
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We provide data warehousing services, data reporting services. We use the data warehouse for reporting and analysis purpose. The main source of data is cleaned, transformed, cataloged and made available to retrieve and analyze data and to extract, transform and load data (etl) for online analytical processing, market research and decision making. we maintain a copy of information from the source transaction systems. This architectural complexity provides an opportunity to: 1. Maintain data history, even if the source transaction systems do not. 2. Improve data quality, by providing consistent codes and descriptions, flagging or even fixing bad data. 3. Present the organization's information consistently. 4. Provide a single common data model for all data of interest regardless of the data source. 5. Restructure the data so that it makes sense to the business users. 6. Restructure the data so that it delivers excellent query performance, even for complex analytic queries, without impacting the operational systems. 7. Add value to operational business applications, notably customer relationship management (crm) systems. 8. Maintain data history, even if the source transaction systems do not.
data warehousing
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data warehousing, small business erp, bpo data entry software
Data Warehousing Services
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Data Warehousing Services, data warehousing solutions
Data Warehousing and Business Intelligence
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Data Warehousing and Business Intelligence
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Data Warehousing & Business Intelligence
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Data Warehousing Services
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Data Warehousing Services
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Data Warehousing & Transaction Management
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