Database Management in Pune

• Product Name: Bpo Data Entry Projects
• Product Name: Data Entry Projects
• Product Name: Non Voice Data Project
• PAYMENT: MODE MONTHLY
• PAYOUT: 50000 ABOVE
• TAT: 25 DAYS
• MINIMUM SEATS: 5

at present we are in the data entry process outsourcing.        we are giving couple of good payout projects alongside entire affirmation by bank.        administrations points of interest company will give you full administrations for your fulfillment.        information will be in picture organize.        working programming will gave by the us based organization.        on the web and onsite preparing at your place.        specialized support all through venture.        additional qc software       month to month submission       bank guarantee given ahead of time to your submission.       lawful agreement will made on court paper.       we have various focuses running all over india like in delhi ncr, gujrat, jammu, tamilnadu, andhra pradesh, punjab, maharashtra, karnataka.      {data entry, data entry projects, bpo projects, offline data entry, form filling service,        online data entry work, non voice bpo}  

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

We provide Data Management Services to a large number of small as well as large enterprises. All the aspects such as data processing, data entry, HTML tagging, etc., involved in Data Management Services are catered to by knowledgeable and experienced professionals. Our Data Management Services are professional, prompt and carefully designed to meet the needs and expectations of the clients. What’s more, the Data Management Services are reasonably charged as well. Aspects Involved In Data Management Services Data Entry Online Data Entry Data Processing Data warehousing/mining Document Management Content Development HTML / XML Conversion Data Conversion Word Processing/ Formatting  

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.

We are offering database management. Smart features secured - only software installer can start dbsmart. Backuprestore - automate with run history. Config diff - commpare configuration parameters (useful for disaster recovery server). Compare files - unix diff or ascii files or query results. Dbexplore - object browsing . Dbadmin - admin module for dbas . Dashboard - monitor server health. Data migration - cross platform and from flat file data migration . Er diagram - generate entity relation diagram. Extract - reverse engineer object creation find column - search fieldname appearing in the tables. Global view - run query(es) across multiple servers. Process monitor - monitor all running processes . Sql editor - perform sqlpl-sql queries . Smartuniverse - store queries and retrieve for rerun. Sql builder - generate sql code ( join upto 4 tables). Space usage - monitor database space usage with auto refresh functionality. Source code control - extract ddls and save them individually. automatically save sql history ( for rerun). Key press search functionality ( just press a key to locate data in resultset) . Conditioanl replace ( based on if then else condition ). Compare database objects and table rowcounts .

For the last 6 years Telegenisys has worked for this company which serves most major life insurance carriers in the US. Each Insurance company sends case requests in queues, each queue has different rules and different priorities. This creates a complex performance matrix for each data source.

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.

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