The Big Picture
Effectively gathering NFRs is a key success factor for all data integration initiatives. Understanding the types of NFRs and following a systematic approach for capturing them can help identify quantifiable and measurable NFRs.
NFRs can often be conflicting. It is critical that based on the requirements of the project, the most applicable NFRs be identified and tracked through the entire project lifecycle. While choosing NFRs we have to be conscious of the practical aspects of implementing the NFR and the resultant benefits. The framework detailed here can help you understand NFRs better and, hence, achieve better business IT alignment.
Sastry is a Principal Architect with the Banking and Capital Markets vertical at Infosys. He has around 15 years of technology consulting experience during which he was associated with many of the large Banks and Financial Institutions across the globe. He has been part of many small and large initiatives related to application development, architecture definition and Strategy definition. Sastry’s focus area in the recent past has been Data Integration, Data Quality and Data Modeling.
Shantaram is a Senior Data Architect with Banking and Capital Markets vertical at Infosys. He has more than 15 years of technology consulting experience in General (Non-Life) Insurance, Retail Banking, Capital Markets and Energy & Utilities domains. He has led and implemented many Data warehouse projects and has strong knowledge of Data Modeling, Data Integration, Data Federation, Data Architecture and Data Warehousing architectures.
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