Towards Providing Data Validation as a Service

Soni, Soujanya; Mehta, Sameep; Hans, Sandeep

doi:10.1109/scc.2012.82

Cited by 4 publications

(1 citation statement)

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“…To wards this end, typically the organizations either choose to develop the code base or adopt an existing industrial tool. In our previous work [18] we presented a new approach which is Metadata driven rule-based data validation. Following are the features and benefits of the proposed approach: 1) Dynamic business impose new requirements on IT to accomdate frequently changing environment, software, hardware and processes.…”

Section: Introductionmentioning

confidence: 99%

Data validation for business continuity planning

Soni

Mehta

Hans

2012

Proceedings of 2012 IEEE International Conference on Service Operations and Logistics, and Informatics

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In this paper we present a system and case study for busi ness data validation in large organizations. The validated and consistent data provides the capability to handle outages and incidents in a more principled fashion and helps in business continuity. Typically, different business units employ separate systems to produce and store their data. The data owners choose their own technology for data base storage. It is a non-trivial task to keep the data consistent across business units in the organization. This non-availability of consistent data can lead to sub optimal planning during outages and organizations can incur huge financial costs. Traditional custom data validation system fetches the data from various data sources and flow it through the central validation system resulting in huge data transfer cost. Moreover, accommodating change in business rules is laborious process. Accommodating such changes in the system can lead to re-design and re-development of the system. This is a very costly and time consuming activity. In this paper, we employ a Metadata driven rule-based data validation system, which is domain independent, distributed, scalable and can easily accommodate changes in business requirements. We have deployed our system in real life settings. We present some of the results in this paper.

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Section: Introductionmentioning

confidence: 99%