Abstract
Data are a key driver of the digital era. They shift the strategic landscape of organizations and change how companies approach their business. Nevertheless, existing approaches on data strategies vary vastly and little common ground is visible. Therefore, we develop a comprehensive taxonomy for data strategy tools and methodologies in order to identify characteristics and relevant properties of data strategy. We derived the taxonomy inductively by analyzing existing data strategy tools and methodologies offered in the current economy and deductively by conducting a structured literature review on the existing body of knowledge in the scientific literature. It serves as a scientific instrument to profoundly assess and create data strategies and work towards a consensus in the respective research field.
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References
Wong, T.Y.T., Peko, G., Sundaram, D., Piramuthu, S.: Mobile environments and innovation co-creation processes & ecosystems. Inf. Manag. 53, 336–344 (2016)
Wilberg, J., Triep, I., Hollauer, C., Omer, M.: Big data in product development: need for a data strategy. In: Proceedings of PICMET 2017 (2017)
Mintzberg, H.: The strategy concept I: five PS for strategy. Calif. Manag. Rev. (1987)
Sull, D., Turconi, S., Sull, C., Yoder, J.: Turning strategy into results. MIT Sloan Manag. Rev. (2017)
Altamony, H., Alshurideh, M.T., Masa'deh, R., Obeidat, B.: Information systems for competitive advantage: implementation of an organisational strategic management process. In: Innovation and Sustainable Competitive Advantage: From Regional Development to World Economies (2012)
Collis, D.J., Rukstad, M.G.: Can you say what your strategy is? Harvard Bus. Rev. (2008)
Otto, B., Österle, H.: Corporate Data Quality, Springer, Berlin (2016). https://doi.org/10.1007/978-3-662-46806-7
Lim, C., Kim, K.-H., Kim, M.-J., Heo, J.-Y., Kim, K.-J., Maglio, P.P.: From data to value: a nine-factor framework for data-based value creation in information-intensive services. Int. J. Inf. Manage. 39, 121–135 (2018)
Mazzei, M.J., Noble, D.: Big data dreams: a framework for corporate strategy. Bus. Horiz. 60, 405–414 (2017)
Ebner, K., Buhnen, T., Urbach, N.: Think big with big data: identifying suitable big data strategies in corporate environments. In: 2014 47th Hawaii International Conference on System Sciences, pp. 3748–3757. IEEE (2014)
Hurley, J.: Why your data strategy is your B2B growth strategy. Harvard Bus. Rev. (2018)
Wilberg, J., Kalla, T., Fetscher, M., Rimböck, F., Hollauer, C., Omer, M.: Managing technological entrepreneurship: the engine for economic growth. In: Portland International Conference on Management of Engineering and Technology (PICMET '2018). (2018)
Posavec, A.B., Krajnovic, S.: Challenges in adopting big data strategies and plans in organizations. In: 2016 39th International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO), pp. 1229–1234. IEEE (2016)
SAS: 5-essential-components-of-data-strategy- (2019)
Barton, D., Court, D.: Three Keys to Building a Data Driven Strategy. Mckinsey & Company Q. (2013)
Gurevich, A., Dey, S.: Defining a data strategy (2018)
Etsiwah, B., Hilbig, R.: What is data strategy? An analysis of an ambiguous concept. In: ISPIM Innovation Conference, Florence (2019)
Nickerson, R.C., Varshney, U., Muntermann, J.: A method for taxonomy development and its application in information systems. Eur. J. Inf. Syst. 22, 336–359 (2013)
Azkan, C., Iggena, L., Gür, I., Möller, F., Otto, B.: A taxonomy for data driven services in manufacturing industries. In: Twenty-Fourth Pacific Asia Conference on Information Systems. Dubai (2020)
Valdez, A., et al.: Big data strategy. IJACSA 10 (2019)
Lakoju, M., Serrano, A.: Saving costs with a big data strategy framework. In: IEEE International Conference on Big Data (BIGDATA) (2017)
DalleMulle, L., Davenport, T.: What’s your data strategy - DalleMule. Harvard Bus. Rev. (2017)
Hochhauser, R.: Data strategy: a critical component of marketing success. Handbook Bus. Strat. 5, 227–232 (2004)
Lakoju, M., Serrano, A.: Framework for aligning big-data strategy with organizational goals. In: Twenty-third Americas Conference on Information Systems. Boston (2017)
Feinleib, D.: Big data at work. In: Big Data Bootcamp, pp. 49–62. Apress, Berkeley, CA (2014). https://doi.org/10.1007/978-1-4842-0040-7_4
Chanias, S., Myers, M.D., Hess, T.: Digital transformation strategy making in pre-digital organizations: the case of a financial services provider. J. Strateg. Inf. Syst. 28, 17–33 (2019)
Bharadway, A., El Sawy, O.A., Pavlou, P.A., Venkatraman, N.: Digital business strategy: toward a next generation of insights. Mis Quart. (2013)
Ross, J.W., Beath, C., Moloney, K.G., Sebastian, I.M., Mocker, M., Fonstad, N.O.: Designing and executing digital strategies. In: ICIS, Dublin (2016)
Sebastian, I.M., Ross, J.W., Beath, C., Mocker, M., Moloney, K.G., Fonstad, N.O.: How big old companies navigate digital transformation. Mis. Quart. (2017)
Gurbaxani, V., Dunkle, D.: Gearing up for successful digital transformation. MISQE 18, 209–220 (2019)
Porter, M.E., Heppelmann, J.E.: How smart, connected products are transforming competition. Harv. Bus. Rev. 92, 64–88 (2014)
Porter, M., Heppelmann, J.: how smart, connected products are transforming companies. Harv. Bus. Rev. (2015)
Yeow, A., Soh, C., Hansen, R.: Aligning with new digital strategy: a dynamic capabilities approach. J. Strateg. Inf. Syst. 27, 43–58 (2018)
Henderson, J.C., Venkatraman, N.: Strategic alignment: leveraging information technology for transforming organizations. IBM Syst. J. (1999)
Bartenschlager, J., Goeken, M.: Designing artifacts of IT strategy for achieving business/IT alignment. In: Americas Conference on Information Systems (2009)
Chen, D., Mocker, M., Preston, D., Teubner, A.: Information systems strategy: reconceptualization and implications. MISQ 2010, 233–259 (2010)
Mithas, S., Rust, R.T.: How information technology strategy and investments influence firm performance- conjecture and empirical evidence. Mis Quart. (2016)
Holotiuk, F., Beimborn, D.: Critical success factors of digital business strategy. In: 13th International Conference on Wirtschaftsinformatik (2017)
Drechsler, A., Weißschädel, S.: An IT strategy development framework for small and medium enterprises. Inf. Syst. E-Bus. Manage. 16(1), 93–124 (2017). https://doi.org/10.1007/s10257-017-0342-2
Cuenca, L., Boza, A., Ortiz, A., Trienekens, J.J.M.: Business-IT alignment and service oriented architecture - a proposal of a service-oriented strategic alignment model. In: Proceedings of the 16th International Conference on Enterprise Information Systems, pp. 490–495. SCITEPRESS - Science and Technology Publications (2014)
Ball, N., Adams, C., Xu, W.: Overcoming the elusive problem of IS/IT alignment: conceptual and methodological considerations. In: Americas Conference on Information Systems (2003)
Möller, F., Stachon, M., Hoffmann, C., Bauhaus, H., Otto, B.: Data-driven business models in logistics: a taxonomy of optimization and visibility services. In: Proceedings of the 53rd Hawaii International Conference on System Sciences, pp. 5379–5388 (2020)
Paukstadt, U., Strobel, G., Eicker, S.: understanding services in the era of the internet of things: a smart service taxonomy. In: ECIS 2019 (2019)
Hunke, F., Engel, C., Schüritz, R., Ebel, P.: Understanding the anatomy of analytics-based services - a taxonomy to conceptualize the use of data and analytics in services. In: ECIS 2019 (2019)
Hartmann, P.M., Zaki, M., Feldmann, N., Neely, A.: Capturing value from big data – a taxonomy of data-driven business models used by start-up firms. IJPEM 36, 1382–1406 (2016)
Hevner, A.R., March, S.T., Park, J., Ram, S.: Design science in information systems research. Mis Quart. 28, 75–105 (2004)
King, W.R., He, J.: Understanding the role and methods of meta-analysis in IS research. In: CAIS 16 (2005)
Paré, G., Trudel, M.-C., Jaana, M., Kitsiou, S.: Synthesizing information systems knowledge: a typology of literature reviews. Information & Management 52, 183–199 (2015)
Vom Brocke, J., Simons, A., Niehaves, B., Reimer, K., Plattfaut, R., Cleven, A.: Reconstructing the giant: on the importance of rigour in documenting the literature search process. In: Proceedings of the 17th European Conference on Information Systems. AIS, Verona, Italy (2009)
Fink, A.: Conducting Research Literature Reviews. From the Internet to Paper. Sage, Los Angeles (2014)
Levy, Y., Ellis, T.J.: A systems approach to conduct an effective literature review in support of information systems research. Inf. Sci. Int. J. Emerg.Transdiscip. 9, 181–212 (2006)
Webster, J., Watson, R.T.: Analyzing the past to prepare for the future: writing a literature review. Mis Quart. 26, xiii–xxiii (2002)
Vom Brocke, J., Simons, A., Riemer, K., Niehaves, B., Plattfaut, R., Cleven, A.: Standing on the shoulders of giants: challenges and recommendations of literature search in information systems research. CAIS 37, 205–224 (2015)
Lakoju, M., Serrano, A.: A strategic approach for visualizing the value of big data (SAVV-BIGD) framework. In: 2016 IEEE International Conference on Big Data (Big Data), pp. 1334–1339. IEEE (2016)
Vayghan, J., Garfinkle, S., Walenta, C., Healy, D., Valentin, Z.: The internal information transformation of IBM. IBM Syst. J. 669–683 (2007)
Cuenca, L., Boza, A., Ortiz, A.: An enterprise engineering approach for the alignment of business and information technology strategy. Int. J. Comput. Integr. Manuf. 24, 974–992 (2011)
Otto, B.: Quality and value of the data resource in large enterprises. Inf. Syst. Manag. 32, 234–251 (2015)
Bakhtiani, R., Gandhi, M., Churi, P., Gupta, P.: Big data strategies – a review and survey. In: 4th International Conference on Applied and Theoretical Computing and Communication Technology (iCATccT) (2018)
Falge, C.: Methode zur Strategieentwicklung für unternehmensweites Datenqualitätsmanagement in globalen Konzernen. St.Gallen (2015)
Wilberg, J., Fetscher, M., Rimböck, F., Hollauer, C., Omer, M.: Development of a use phase data strategy for connected products: a case study in industry. In: Proceedings of PICMET 2018 (2018)
Adner, R.: Match your innovation strategy to your innovation ecosystem. Harvard Bus. Rev. 84, 98–107, 148 (2006)
Booz Allen Hamilton: Booz Allen Hamilton Data Strategy Framework. https://www.boozallen.com/s/insight/thought-leadership/a-framework-to-guide-your-data-strategy.html
CDQ: Data Strategy Canvas. https://www.cc-cdq.ch/request-publications#16
Measurelab: Measurelab Data Strategy Canvas. https://www.measurelab.co.uk/blog/what-is-a-data-strategy-and-do-i-need-one/
Boston Consulting Group: BCG Data Strategy Transformation Model. https://www.bcg.com/publications/2017/digital-transformation-transformation-data-driven-transformation
Keller Schroeder: Data Strategy Framework. https://www.kellerschroeder.com/data-strategy-framework/
Global Data Strategy: Data Strategy Framework. https://globaldatastrategy.com/our-services/data-strategy/
IBM: IBM Big Data Maturity Model. https://www.ibmbigdatahub.com/blog/big-data-analytics-maturity-model
Breakthrough Strategy: Breakthrough Data Strategy Canvas (2019)
Equifax: Data Strategy Framework. https://www.dataversity.net/developing-and-executing-a-global-data-strategy/
Big Data Framework: Big Data Strategy Framework. https://www.bigdataframework.org/formulating-a-big-data-strategy/
Glass, R.L., Vessey, I.: Contemporary application-domain taxonomies. IEEE Softw. 12, 63–76 (1995)
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Gür, I., Spiekermann, M., Arbter, M., Otto, B. (2021). Data Strategy Development: A Taxonomy for Data Strategy Tools and Methodologies in the Economy. In: Ahlemann, F., Schütte, R., Stieglitz, S. (eds) Innovation Through Information Systems. WI 2021. Lecture Notes in Information Systems and Organisation, vol 46. Springer, Cham. https://doi.org/10.1007/978-3-030-86790-4_30
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