International Journal of Knowledge Processing Studies
Online ISSN: 2783-4611

Scaling Up the Agility of Data Management by Scaled Agile Data Management Framework (SADMF)

Document Type : Original Research Manuscripts

Authors

Milad Padidarfard 1
Atefeh Sharif 2
Mohammad Hasanzadeh 3
Mostafa Amini 4
Amin Nezarat 5

1 Ph.D. Candidate of Knowledge and Information Science, Tarbiat Modares University, Tehran, Iran.

2 Assistant Prof., Knowledge and Information Science, Tarbiat Modares University, Tehran, Iran.

3 Full-Prof., Knowledge and Information Science, Tarbiat Modares University, Tehran, Iran.

4 Post-doc., Knowledge and Information Science, Tarbiat Modares University, Tehran, Iran.

5 Ph.D. Researcher, ICT Research Institute, Tehran, Iran.

https://doi.org/10.22034/kps.2024.465744.1188
Abstract
The research aims to design a scalable agile data management framework leading to the success in data-oriented decision-making and ultimately smartness and data intelligence using agile manifesto and scalability. The main paradigm is data-driven, lean thinking and agile manifesto. As an applied and developmental research, argument, analogy and discovery are used to draw conclusions. In this research Design Science Research Methodology (DSRM) is applied. Thus, firstly, the problem was defined clearly via literature review. Secondly, objectives of solution were specified specifically. Thirdly, the artifact (SADMF) was designed and developed via iterations through SCRUM. Fourthly, validity and reliability were evaluated by SMEs and finally the results were formalized and academics and practitioners were invited to consider reflective thinking. There are various reference models for the concepts of agile, data management, Information System and Software Engineering, but few of them practically embedded agile practices in a scalable management system, despite the remarkable importance of agility in the optimal data management of social-physical-cyber systems today. So, there is an essential need to design a comprehensive model. Scaled agile data management requires leanness and agility. This framework has three levels including portfolio, program and data lab and four main elements including people and organization, agile process and practice, technology and knowledge areas. Finally, considering the selected references, a Scalable Agile Data Management Framework (SADMF) from combination of agile best practices along with the main elements of a data management system was designed and offered. 

Keywords

Data management
Agile
Lean
Agile Data Management
DataOps
Subjects
Andriole, S. J. (2018). Five myths about digital transformation. MIT Sloan management review. https://doi.org/10.7551/mitpress/11633.003.0005
Anna, K., Lazaro, B., Solomon, O., & Matti, T. (2023). The use of Design Science and Agile Methodologies for improved information systems in the Tanzanian Higher Education context. WILEY. https://doi.org/10.1002/isd2.12241
Attwell, G., Peffer, G., Jones, T. T., Kerr, M., & Kämäräinan, P. (2015). Changing Learning Practices in Healthcare and Construction: Deployment, Sustainability, and Exploitation of the Layers Solutions. Available: https://www.researchgate.net/publication/311045609_Changing_Learning_Practices_in_Healthcare_and_Construction_Deployment_Sustainability_Exploitation_of_the_Layers_Solutions
Bekkhus, R. (2016). Bekkhus, Riitta. "Do KPIs used by CIOs Decelerate Digital Business Transformation?” The Case of ITIL. Digital Innovation, Technology, and Strategy Conference. Dublin, Ireland. Available:
https://www.semanticscholar.org/paper/Do-KPIs-used-by-CIOs-Decelerate-Digital-Business-of-Bekkhus/de161c81827f0480a8c62672adaf8033b186f1ef
Bialek, B., Tree, O., & Weisul, K. (2022). The Road to Smart Banking. MongoDB. Available: https://www.mongodb.com/resources/solutions/industries/the-road-to-smart-banking
Capgemini and MIT. (2011). Digital Transformation: A Roadmap for Billion-Dollar. Available: https://www.capgemini.com/wp-content/uploads/2017/07/Digital_Transformation__A_Road-Map_for_Billion-Dollar_Organizations.pdf
Capgemini. (2015). Agile Information Management (AIM). Capgemini. Available: https://www.capgemini.com/wp-content/uploads/2017/07/agile_information_management_1.pdf
Coskun-Setirek, A., & Tanrikulu, Z. (2021). Digital innovations-driven business model regeneration: A process model. Technology in Society, 64(C). https://doi.org/10.1016/j.techsoc.2020.101461
DAMA. (2009). The Data Management Body of Knowledge (DAMA-DMBOK2). https://www.dama.org/cpages/body-of-knowledge.
Dehghani, Z. (2022). Data Mesh: Delivering Data-Driven Value at Scale. O'Riley.
Dornberger, R. (2021). New Trends in Business Information Systems and Technology: Digital Innovation and Digital Business Transformation. Basel, Switzerland: Springer Nature. https://doi.org/10.1007/978-3-030-48332-6
Edgar, B., Ida, S., Emma, F., Brett, T., & Sadiq, S. (2023). Integrating design thinking and agile approaches in analytics development: The case of Aginic. Journal of Information Technology Teaching Cases, 1-14. https://doi.org/10.1177/20438869231178035
Eremina, Y., Lace, N., & Bistrova, J. (2019). Digital maturity and corporate performance: The case of the Baltic States. Journal of Open Innovation: Technology, Market, and Complexity ., 5(3), 54. https://doi.org/10.3390/joitmc5030054
Fitzgerald, M., Kruschwitz, N., Bonnet, D., & Welch., M. (2014). Embracing digital technology: A new strategic imperative. MIT Sloan management review, 55(2).
https://sloanreview.mit.edu/projects/embracing-digital-technology/
Frankova, P., Drahosava, M., & Balco, P. (2016). Agile project management approach and its use in big data management. The 7th International Conference on Ambient Systems, Networks and Technologies, pp. 576-583. https://doi.org/10.1016/j.procs.2016.04.272
Gadre, M., & Deoskar, A. (2020). Industry 4.0–Digital Transformation, Challenges and Benefits. International Journal of Future Generation Communication and Networking, 13(2), 139-149. https://www.researchgate.net/publication/344832176_Industry_40_-Digital_Transformation_Challenges_and_Benefits
Garshivaz, B. (2022, June 12). A Conceptual Framework for Data-Driven Digital Transformation from the Perspective of Cyber-Physical-Social Systems Thinking. International Journal of Knowledge Processing Studies, pp. 31-40. https://doi.org/10.22034/kps.2022.149698
Gartner IT Glossary. (n.d.). Available: https://www.gartner.com/it-glossary/digital-business-transformation/
Gold, S., Harper, R., & Katz, J. (2023). People. Process. Technology. And Data. A Heretic’s View. Jabian. Available: https://journal.jabian.com/people-process-technology-and-data-a-heretics-view/
Haidabrus, B., Grabis, J., Psarov, O., & Druzhinin, E. (2023). Agile Framework as a Key to Information Management System Delivery. Springer Nature, 113-120. https://doi.org/10.1007/978-3-031-32767-4_11
Heil, C. (2022). Is Kanban the better Agile Approach in a Highly-Regulated Environment? Deloitte. Available: https://www2.deloitte.com/content/dam/Deloitte/de/Documents/risk/Deloitte_Agile_Approach_in_Highly_Regulated_Environments.pdf
Ismail, L., Materwala, H., Karduck, A., & Adem, A. (2019, December 19). Requirements of Health Data Management Systems for Biomedical Care and Research: Scoping Review. JMIR Publications. https://doi.org/10.2196/17508
ITIL Foundation 4th edition. (2019). AXELOS. Available: https://www.axelos.com/certifications/itil-service-management/itil-4-foundation
Julian, Brendan, N., James, A., & Craig. (2019). Agile Practices in Practice: Towards a Theory of Agile Adoption and Process Evolution. International Conference on Agile Software Development, 3-18. https://doi.org/10.1007/978-3-030-19034-7_1
Kane, G., Palmer, D., Phillip, A. N., Kiron, D., & Buckley, N. (2015). Strategy, not technology, drives digital transformation. MIT Sloan Management Review and Deloitte University Press. Available: https://www2.deloitte.com/content/dam/Deloitte/fr/Documents/strategy/dup_strategy-not-technology-drives-digital-transformation.pdf
Khalid, S., Surr, C., & Neagu, D. (2010). DCM Data Management Framework: A Data Warehousing Approach. Springer, 45-56. https://doi.org/10.1007/978-3-642-15020-3_4
Khedmagozar, H., Hanafizadeh, P., & Alipour-Hafezi, M. (2018). A Conceptual Framework for Operational Definition of Content. Iranian Journal of Information Processing and Management, 33, 1207-1230. https://www.researchgate.net/profile/Hamid-Khedmatgozar/publication/326622783_A_conceptual_framework_for_operational_definition_of_content/links/5cd3e6ac458515712e9b89d9/A-conceptual-framework-for-operational-definition-of-content.pdf
Legner, C., Pentek, T., & Otto, B. (2020). Accumulating Design Knowledge with Reference Models: Insights from 12 Years’ Research into Data Management. Journal of the Association for Information Systems, 735-770. https://doi.org/10.17705/1jais.00618
Lillie, Theresa, E., & Sunet. (2019). Identifying the Constructs and Agile Capabilities of Data Governance and Data Management: A Review of the Literature. International Development Informatics Association Conference (pp. 313–326). Communications in Computer and Information Science. https://doi.org/10.1007/978-3-030-11235-6_20
Mahajan, A. (2023, March 4). A Brief Introduction to Data-driven Technologies and their Applications. https://www.linkedin.com/pulse/brief-introduction-data-driven-technologies-avinash-mahajan
Matt, C., Hess, T., & Benlian, A. (2015). Digital transformation strategies. Business & Information Systems Engineering. https://doi.org/10.1007/s12599-015-0401-5
Matt, D. T., Modrák, V., & Zsifkovits, H. (2020). Industry 4.0 for SMEs: Challenges, opportunities and requirements. Leoben, Austria: Springer Nature. https://link.springer.com/book/10.1007/978-3-030-25425-4
Mazzone, D. M. (2014). Digital or death: digital transformation: the only choice for business to survive smash and conquer. Smashbox Consulting Inc. Available: https://books.google.com/books/about/Digital_or_Death.html?id=nI8ZBQAAQBAJ
McKinsey & Company. (2016). Using agile to accelerate your data transformation. Available: https://www.mckinsey.com/capabilities/mckinsey-digital/our-insights/using-agile-to-accelerate-your-data-transformation
Merzouk, S., Elhadi, S., Ennaji, H., Marzak, A., & Sael, N. (2017). A Comparative Study of Agile Methods: Towards a New Model-based Method. MDA approach., 9, 121-128.
https://www.dline.info/ijwa/fulltext/v9n4/ijwav9n4_1.pdf
Muscad, O. (2023, January 30). A Comprehensive Guide to Smart Banking: What Does It Look Like in 2024? https://datamyte.com/blog/smart-banking/
Odusola, M. (2023, December 04). Conway’s Law Explained. https://www.splunk.com/en_us/blog/learn/conways-law.html
Origins and History of Lean. (2023). https://www.wevalgo.com/know-how/lean-management/lean-management-history
Pappas, I., Mikalef, P., Giannakos, M., Krogstie, J., & Lekakos, G. (2018). Big Data and Business Analytics Ecosystems: Paving the way towards digital. Information Systems and e-Business Management.  https://doi.org/10.1007/s10257-018-0377-z
Peffers, K., Tuunanen, T., Rothenberger, M., & Chatterjee, S. (2007). A design science research methodology for information systems research. Journal of management information systems, 45-77. https://doi.org/10.2753/mis0742-1222240302
Peter, M. K. (2017). SME Transformation: Successfully Implementing Digital Transformation as an SME (In German: KMU-Transformation: Als KMU die Digitale Transformation erfolgreich umsetzen). Available: https://www.researchgate.net/publication/324596902_KMU-Transformation_Als_KMU_die_Digitale_Transformation_erfolgreich_umsetzen_Forschungsresultate_und_Praxisleitfaden
Peter, M. K. (2018). Digital Transformation Canvas: The 7 Action Fields of Transformation. University of Applied Sciences and Arts Northwestern Switzerland. Available: https://static1.squarespace.com/static/5b150b06e2ccd1672a32b099/t/5b40d0100e2e72bb803832cf/1530974235667/Digital-Transformation-Canvas-Marc-Peter-English.pdf
PMI, & Agile Alliance. (2017). Agile Practice Guide. Project Management Institute. Availble: https://www.pmi.org/pmbok-guide-standards/practice-guides/agile
PMI, P. M. (2017). A guide to the Project Management Body of Knowledge. Pennsylvania: Project Management Institute, Inc. Available: https://www.pmi.org/standards/pmbok
PWC. (2019). Adaption of data governance to a data driven and agile organization. PWC. Available: https://www.pwc.se/sv/data-analytics/adaption-of-data-governance.pdf
SAFe. (2018). Introduction the Scaled Agile Framework (SAFe) for Lean Enterprise. SCALED AGILE Inc. Available: https://www.pwc.se/sv/data-analytics/adaption-of-data-governance.pdf
Schallmo, D. R., & Williams., C. A. (2018). Digital Transformation Now!: Guiding the Successful Digitalization of Your Business Model. Springer. https://doi.org/10.1142/s136391961740014x
Schallmo, D., Williams, C. A., & Boardman, L. (2020). Digital transformation of business models—best practice, enablers, and roadmap. Digital Disruptive Innovation, 21(8), 119-138. https://doi.org/10.1142/s136391961740014x
Schwaber, K., & Sutherland, J. (2020, November). The Scrum Guide. The Definitive Guide to Scrum: The Rules of the Game.
Scott, B. (2009). The role of sociocybernetics in understanding world futures. Emerald Insight. https://doi.org/10.1108/03684920910973135
Shi, X., & Zhuge, H. (2010). Cyber Physical Socio Ecology. China: Wiley Online Library. https://doi.org/10.1002/cpe.1625
Suprana, D., Zhou, Y., Abad, & Iker Larizgoitia, M. K. (2017). Cyber-Physical-Social Frameworks for Urban Big Data Systems a Survey. London: University of Surrey.
https://doi.org/10.3390/app7101017
Sutherland, J. (2022, February). The Scrum at Scale Guide. The Definitive Guide to Scrum at Scale: Scaling that Works. Scrum Inc. Available: https://www.scrumatscale.com/wp-content/uploads/2020/12/official-scrum-at-scale-guide.pdf
The Modern Data Community. (2023). AWS, The Modern Data Community (pp. 1-18). Amazon Web Services. Available: https://pages.awscloud.com/rs/112-TZM-766/images/ModernDataCommunity-Ebook_v1.0.pdf
Tripathi, S. (2021). Determinants of Digital Transformation in the Post-Covid-19 Business World. IJRDO - Journal of Business management, 7(6), 75-83. https://doi.org/10.53555/bm.v7i6.4312
Umpleby, S. A. (2014). Second order Science: Logic, Strategies, Methods. Constructivist Foundations. Univie, 10(1), 16-23.
Van Tonder, C., Schachtebeck, C., Nieuwenhuizen, C., & Bossink, B. (2020). A framework for digital transformation and business model innovation Management. Journal of Contemporary Management Issues, 25(2), 111-132. https://doi.org/10.30924/mjcmi.25.2.6
Vartiainen, P. (2002). On the Principles of Comparative Evaluation. Sage. https://doi.org/10.1177/135638902401462484
Vestues, K., Hanssen, G. K., Mikalsen, M., Buan, T. A., & Conboy, K. (2022). Agile Data Management in NAV: A Case Study. International Conference on Agile Software Development, XP. Copenhagen, Denmark: Springer.
https://doi.org/10.1007/978-3-031-08169-9_14
Vial, G. (2019). Understanding digital transformation: A review and a research agenda. The journal of strategic information systems, 28(2), 118-144. https://doi.org/10.1016/j.jsis.2019.01.003
Westerman, G., Calméjane, C., Bonnet, D., Ferraris, P., & McAfee., A. (2011). Digital Transformation: A roadmap for billion-dollar organizations. MIT Center for Digital Business and Capgemini Consulting. Available: https://www.capgemini.com/wp-content/uploads/2017/07/digital_transformation__a_road-map_for_billion-dollar_organizations.pdf
Wiraeus, D., & Creelman, J. (2019). Agile Strategy Management in the Digital Age. Palgrave Macmillan. https://doi.org/10.1007/978-3-319-76309-5

  • Receive Date 01 July 2024
  • Revise Date 19 August 2024
  • Accept Date 28 August 2024

Home

Guide for Authors

Submit Manuscript

Reviewers

Contact Us