Prakash, Deepika, and Daya Gupta. "Eliciting data warehouse contents for policy enforcement rules." International Journal of Information System Modeling and Design (IJISMD) 5.2 (2014): 41-69
Prakash, Deepika, and Daya Gupta. "Data warehouse requirements engineering: an emerging discipline." International Journal of Business Information Systems 23.2 (2016): 194-211
Prakash, Deepika. "Eliciting Information Requirements for DW Systems." CAiSE (Doctoral Consortium). 2016.
Prakash, Deepika, and Naveen Prakash. "Towards DW Support for Formulating Policies." IFIP Working Conference on The Practice of Enterprise Modeling. Springer International Publishing, 374-388, 2015.
Prakash, Naveen, et al. "A Framework for Business Rules." International Conference on Conceptual Modeling. Springer International Publishing, 68-73, 2013.
Prakash, Deepika, and N. Parimala. "Measuring Understandability of Organizational Policies: A Metric Based Approach." International Journal of Cooperative Information Systems 27.02 (2018): 1850003.
Prakash, D. (2018, September). Direct Conversion of Early Information to Multi-dimensional Model. In International Conference on Database and Expert Systems Applications(pp. 119-126). Springer, Cham.
Prakash, D. “Data Warehouse Support for Policy Enforcement Rule Formulation.”New Perspectives on Information Systems Modeling and Design 2019 (pp. 255-273) IGI Global.
Prakash Naveen, and Prakash Deepika. “Data Warehouse Requirements Engineering - A Decision Based Approach”. Springer. ISBN 978-981-10-7019-8. 2018
Prakash, Deepika, and Prakash Naveen. “A Multi-factor Approach for Elicitation of Information Requirements of Data Warehouses”. Requirements Engineering Journal. Springer DOI 10.1007/s00766-017-0283-9
Prakash Naveen, and Prakash Deepika. “Model-driven User Stories for Agile Data Warehouse Development”.19thIEEE Interntional Conference on Business Informatics. 424-433, 2017
Prakash Deepika, and Prakash Naveen. “A Requirements Driven Approach to Data Warehouse Consolidation”. 11th IEEE International Conference on Research Challenges in Information Science (RCIS), 449-450, 2017
Prakash, Naveen, Deepika Prakash, and Daya Gupta. "Decisions and decision requirements for data warehouse systems." Forum at the Conference on Advanced Information Systems Engineering (CAiSE). Springer Berlin Heidelberg, 92-107, 2010
Prakash, Naveen, Deepika Prakash, and Y. K. Sharma. "Towards better fitting data warehouse systems." IFIP Working Conference on The Practice of Enterprise Modeling. Springer Berlin Heidelberg, 130-144, 2009
Dr. Deepika Prakash obtained her Ph.D. from Delhi Technological University, Delhi in the area of Data Warehouse Requirements Engineering. She has over 6 years of experience, which includes two years of experience in industrial R&D, building data marts for purchase, sales and inventory and in data mart integration. Her responsibilities in industry spanned the complete life cycle, from requirements engineering through conceptual modeling to extract-transform-load (ETL) activities. She was also an Assistant Professor at the Department of Big Data Analytics, Central University of Rajasthan, Rajasthan. As a researcher, she has authored a number of papers in international journals/conferences. She has co-authored a book entitled “Data Warehouse Requirements Engineering - A Decision Based Approach” published by Springer in 2018. She is on the program committee of international conferences like ENASE. She has delivered invited lectures at a number of Institutes like IIIT Delhi, NSIT Delhi, MRCE and BPIT. Her current research interests include Data Warehouse systems, NoSQL databases and Health Informatics.