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Data Warehousing


Building a flexible, comprehensive repository of transaction data and structuring it for advanced reporting and analysis is what Data Warehousing is all about. Companies that successfully use Business Intelligence to improve their performance typically start with a solid data warehouse as a foundation. Nextogen approach to Data Warehousing is unique since we view it as a means to an end, instead of the end itself. Our consulting teams have delivered a wide variety of data warehouse solutions, ranging from stand-alone data marts to robust, 3-tier implementations using best-of-breed technologies. Our proven methodology provides the rigor and structure needed to deliver high-quality results that are timely and cost-effective.


Architecting and building a data warehouse is as much an art form than a rigorous technology implementation. Architecture Tradeoff Analysis Method (ATAM) is a proven rigourous methodology that balances the capability of your data warehouse with your needs! Make your decisions with confidence in data. Ensure the available data assets are capable of supporting the answers to your questions. Decide which data set is compliance sensitive, ensure security in all layers of data visibility and draw the golden nuggets of information that lays buried in your big data repository. Based on the client needs, Nextogen implements top-down or bottom-up methodology as we offer end-to-end Data warehouse solutions on premises and in cloud using different ETL Technology platforms.


  • Oracle Data Integrator
  • Oracle warehouse Builder
  • Informatica
  • Data Stage
  • SSIS
  • SAS
  • Ab Initio


Data Warehousing Services:

  • Database management and performance tuning
  • Data modeling; data extraction, transformation and loading
  • Data Merging, Migration and implementation
  • ETL (Extraction, Transformation and Load) and DTS (Data Transformation Services)
  • ETL architecture and development
  • Development, Testing, and Deployment


Data Mining:

Organizations with mature data management environments often wonder how to squeeze additional value from their existing data. Using the advanced optimization and rule-induction algorithms of Data Mining, companies have identified market opportunities and internal improvements that have dramatically impacted their profitability. Data Mining can answer a variety of questions for companies, such as telling you the kinds of customers that are most profitable and how to acquire them; which of your customers are likely to move to your competition; who should be targeted with your next advertising campaign and how that campaign should be carried out; and what combinations of products a customer is likely to buy. Nextogen integrates the Data Mining algorithms with existing software to improve the quality of the answer sets. This approach means that companies do not have to replace their existing systems to benefit from this advanced technology. The result is a less-invasive implementation process and faster access to the rich analysis that companies can then act upon to improve their business.


Online Analytical Processing:

​Online Analytical Processing (OLAP) solutions allow users to perform trend, comparative, and time-based analysis. These applications enable data exploration of pre-calculated and summarized data along multiple business dimensions. Users can explore the data first at a summary level, then drill down through the data hierarchy to examine increasingly granular levels of detail. Nextogen works with the leading OLAP tools to implement high-impact solutions for our clients in key areas such as Sales, Operations and Finance. These solutions typically leverage existing Data Warehousing infrastructures, though direct access to the source system is also possible.

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