Skip to main content
Top

2020 | OriginalPaper | Chapter

Value Creation from the Impact of Business Analytics

Activate our intelligent search to find suitable subject content or patents.

search-config
loading …

Abstract

Digital transformation is a key imperative across multiple industries globally. One of the main tenets of digital transformation is improving the intelligence quotient in an organization in order to enable accurate decision-making. Intelligence in the digital era is fueled by data and by the ability to analyze data in a way that generates meaningful insights, thereby making an organization competitive. Literature shows that the benefits of being analytically competitive are widespread and impactful across many organization functions like strategy, finance, marketing and operations; but this can be accomplished only if an organization has the right level of capability for adopting and executing analytics initiatives. Data, leadership, people skills, culture and governance are capabilities that are essential for successful analytics endeavors in an organization. This study is focused on building an end-to-end perspective comprising input factors and outcomes of being analytically competitive.

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

Literature
go back to reference Akter, S., Fosso Wamba, S., Barrett, M., Biswas, K.: How talent capability can shape service analytics capability in the big data environment. J. Strat. Mark. 27(6), 521–539 (2019)CrossRef Akter, S., Fosso Wamba, S., Barrett, M., Biswas, K.: How talent capability can shape service analytics capability in the big data environment. J. Strat. Mark. 27(6), 521–539 (2019)CrossRef
go back to reference Mckinsey Analytics: The age of analytics: competing in a data-driven world (2016) Mckinsey Analytics: The age of analytics: competing in a data-driven world (2016)
go back to reference Ariyarathna, K., Peter, S.: Business analytics maturity models: a systematic review of literature. Focus 3(10), 4 (2019) Ariyarathna, K., Peter, S.: Business analytics maturity models: a systematic review of literature. Focus 3(10), 4 (2019)
go back to reference Ashkenas, R., Manville, B.: The Harvard Business Review Leader’s Handbook: Make an Impact, Inspire Your Organization, and Get to the Next Level. Harvard Business Press, Boston (2018) Ashkenas, R., Manville, B.: The Harvard Business Review Leader’s Handbook: Make an Impact, Inspire Your Organization, and Get to the Next Level. Harvard Business Press, Boston (2018)
go back to reference Brock, V.F., Khan, H.U.: Are enterprises ready for big data analytics? A survey based approach. Int. J. Bus. Inf. Syst. 25(2), 256277 (2017) Brock, V.F., Khan, H.U.: Are enterprises ready for big data analytics? A survey based approach. Int. J. Bus. Inf. Syst. 25(2), 256277 (2017)
go back to reference Chuah, M.H., Wong, K.L.: A review of business intelligence and its maturity models. Afr. J. Bus. Manag. 5(9), 3424–3428 (2011) Chuah, M.H., Wong, K.L.: A review of business intelligence and its maturity models. Afr. J. Bus. Manag. 5(9), 3424–3428 (2011)
go back to reference Cosic, R., Shanks, G., Maynard, S.B.: A business analytics capability framework. Australas. J. Inf. Syst. 19 (2015) Cosic, R., Shanks, G., Maynard, S.B.: A business analytics capability framework. Australas. J. Inf. Syst. 19 (2015)
go back to reference Davenport, T.H.: Thinking for a Living: How To Get Better Performances and Results From Knowledge Workers. Harvard Business Press, Boston (2005) Davenport, T.H.: Thinking for a Living: How To Get Better Performances and Results From Knowledge Workers. Harvard Business Press, Boston (2005)
go back to reference Davenport, T.H.: The analytics advantage: we’re just getting started. Deloitte Analytics (2013) Davenport, T.H.: The analytics advantage: we’re just getting started. Deloitte Analytics (2013)
go back to reference Davenport, T.H., Ronanki, R.: Artificial intelligence for the real world. Harv. Bus. Rev. 96(1), 108–116 (2018) Davenport, T.H., Ronanki, R.: Artificial intelligence for the real world. Harv. Bus. Rev. 96(1), 108–116 (2018)
go back to reference Espinosa, J.A., Armour, F.: The big data analytics gold rush: a research framework for coordination and governance. In: 2016 49th Hawaii International Conference on System Sciences (HICSS), pp. 1112–1121. IEEE (2016) Espinosa, J.A., Armour, F.: The big data analytics gold rush: a research framework for coordination and governance. In: 2016 49th Hawaii International Conference on System Sciences (HICSS), pp. 1112–1121. IEEE (2016)
go back to reference Foshay, N., Yeoh, W., Boo, Y.L., Ong, K.L., Mattie, D.: A comprehensive diagnostic framework for evaluating business intelligence and analytics effectiveness. Australas. J. Inf. Syst. 19 (2015) Foshay, N., Yeoh, W., Boo, Y.L., Ong, K.L., Mattie, D.: A comprehensive diagnostic framework for evaluating business intelligence and analytics effectiveness. Australas. J. Inf. Syst. 19 (2015)
go back to reference Grossman, R.L.: A framework for evaluating the analytic maturity of an organization. Int. J. Inf. Manag. 38(1), 45–51 (2018)CrossRef Grossman, R.L.: A framework for evaluating the analytic maturity of an organization. Int. J. Inf. Manag. 38(1), 45–51 (2018)CrossRef
go back to reference Grover, V., Chiang, R.H., Liang, T.P., Zhang, D.: Creating strategic business value from big data analytics: a research framework. J. Manag. Inf. Syst. 35(2), 388–423 (2018)CrossRef Grover, V., Chiang, R.H., Liang, T.P., Zhang, D.: Creating strategic business value from big data analytics: a research framework. J. Manag. Inf. Syst. 35(2), 388–423 (2018)CrossRef
go back to reference Hagstrom, M.: High-performance analytics fuels innovation and inclusive growth: use big data, hyperconnectivity and speed to intelligence to get true value in the digital economy. J. Adv. Anal. 2, 3–4 (2012) Hagstrom, M.: High-performance analytics fuels innovation and inclusive growth: use big data, hyperconnectivity and speed to intelligence to get true value in the digital economy. J. Adv. Anal. 2, 3–4 (2012)
go back to reference Jamshi, J., Ganeshkumar, C.: Causal linkage among business analytics, supply chain performance, firm performance and competitive advantage. Parikalpana: KIIT J. Manag. 13(2), 29–36 (2017) Jamshi, J., Ganeshkumar, C.: Causal linkage among business analytics, supply chain performance, firm performance and competitive advantage. Parikalpana: KIIT J. Manag. 13(2), 29–36 (2017)
go back to reference Kohavi, R., Quinlan, J.R.: Data mining tasks and methods: classification: decision tree discovery. In: Handbook of Data Mining and Knowledge Discovery, pp. 267–276 (2002) Kohavi, R., Quinlan, J.R.: Data mining tasks and methods: classification: decision tree discovery. In: Handbook of Data Mining and Knowledge Discovery, pp. 267–276 (2002)
go back to reference Krishnamoorthi, S., Mathew, S.K.: Business analytics and business value: a comparative case study. Inf. Manag. 55(5), 643–666 (2018)CrossRef Krishnamoorthi, S., Mathew, S.K.: Business analytics and business value: a comparative case study. Inf. Manag. 55(5), 643–666 (2018)CrossRef
go back to reference LaValle, S., Lesser, E., Shockley, R., Hopkins, M.S., Kruschwitz, N.: Big data, analytics and the path from insights to value. MIT Sloan Manag. Rev. 52(2), 21–32 (2011) LaValle, S., Lesser, E., Shockley, R., Hopkins, M.S., Kruschwitz, N.: Big data, analytics and the path from insights to value. MIT Sloan Manag. Rev. 52(2), 21–32 (2011)
go back to reference Verhoef, P.C., Lemon, K.N.: Advances in customer value management. In: Handbook on Research in Relationship Marketing. Edward Elgar Publishing (2015) Verhoef, P.C., Lemon, K.N.: Advances in customer value management. In: Handbook on Research in Relationship Marketing. Edward Elgar Publishing (2015)
go back to reference Manyika, J., et al.: Big Data: The Next Frontier for Innovation, Competition, and Productivity. McKinsey Global Institute (2011) Manyika, J., et al.: Big Data: The Next Frontier for Innovation, Competition, and Productivity. McKinsey Global Institute (2011)
go back to reference McAfee, A., Brynjolfsson, E., Davenport, T.H., Patil, D.J., Barton, D.: Big data: the management revolution. Harv. Bus. Rev. 90(10), 60–68 (2012) McAfee, A., Brynjolfsson, E., Davenport, T.H., Patil, D.J., Barton, D.: Big data: the management revolution. Harv. Bus. Rev. 90(10), 60–68 (2012)
go back to reference Müller, O., Fay, M., VomBrocke, J.: The effect of big data and analytics on firm performance: an econometric analysis considering industry characteristics. J. Manag. Inf. Syst. 35(2), 488–509 (2018)CrossRef Müller, O., Fay, M., VomBrocke, J.: The effect of big data and analytics on firm performance: an econometric analysis considering industry characteristics. J. Manag. Inf. Syst. 35(2), 488–509 (2018)CrossRef
go back to reference Nam, D., Lee, J., Lee, H.: Business analytics adoption process: an innovation diffusion perspective. Int. J. Inf. Manag. 49, 411–423 (2019)CrossRef Nam, D., Lee, J., Lee, H.: Business analytics adoption process: an innovation diffusion perspective. Int. J. Inf. Manag. 49, 411–423 (2019)CrossRef
go back to reference Palmisano, S.: Re-Think: A Path to the Future. Center for Global Enterprise, New York (2014) Palmisano, S.: Re-Think: A Path to the Future. Center for Global Enterprise, New York (2014)
go back to reference Paulk, M.C.: A history of the capability maturity model for software. ASQ Softw. Qual. Prof. 12(1), 5–19 (2009) Paulk, M.C.: A history of the capability maturity model for software. ASQ Softw. Qual. Prof. 12(1), 5–19 (2009)
go back to reference Raber, D., Winter, R., Wortmann, F.: Using quantitative analyzes to construct a capability maturity model for business intelligence. Paper Presented at the System Science (HICSS), 2012 45th Hawaii International Conference on System Sciences, 4–7 January 2012 (2012) Raber, D., Winter, R., Wortmann, F.: Using quantitative analyzes to construct a capability maturity model for business intelligence. Paper Presented at the System Science (HICSS), 2012 45th Hawaii International Conference on System Sciences, 4–7 January 2012 (2012)
go back to reference Ransbotham, S., Kiron, D., Prentice, P.K.: Minding the analytics gap. MIT Sloan Manag. Rev. 56(3), 63 (2015) Ransbotham, S., Kiron, D., Prentice, P.K.: Minding the analytics gap. MIT Sloan Manag. Rev. 56(3), 63 (2015)
go back to reference Rouhani, S., Ashrafi, A., Ravasan, A.Z., Afshari, S.: The impact model of business intelligence on decision support and organizational benefits. J. Enterp. Inf. Manag. 29, 19–50 (2016)CrossRef Rouhani, S., Ashrafi, A., Ravasan, A.Z., Afshari, S.: The impact model of business intelligence on decision support and organizational benefits. J. Enterp. Inf. Manag. 29, 19–50 (2016)CrossRef
go back to reference Saunders, M.N., Townsend, K.: Reporting and justifying the number of interview participants in organization and workplace research. Br. J. Manag. 27(4), 836–852 (2016)CrossRef Saunders, M.N., Townsend, K.: Reporting and justifying the number of interview participants in organization and workplace research. Br. J. Manag. 27(4), 836–852 (2016)CrossRef
go back to reference Schoemaker, P.J., Tetlock, P.E.: Building a more intelligent enterprise. MIT Sloan Manag. Rev. 58(3), 28 (2017) Schoemaker, P.J., Tetlock, P.E.: Building a more intelligent enterprise. MIT Sloan Manag. Rev. 58(3), 28 (2017)
go back to reference Seddon, P.B., Constantinidis, D., Tamm, T., Dod, H.: How does business analytics contribute to business value? Inf. Syst. J. 27(3), 237–269 (2017)CrossRef Seddon, P.B., Constantinidis, D., Tamm, T., Dod, H.: How does business analytics contribute to business value? Inf. Syst. J. 27(3), 237–269 (2017)CrossRef
go back to reference Sharon, M.S.D., Aggarwal, V.: Implementation of Industry 4.0: influence of digital natives and agility of employees (2019) Sharon, M.S.D., Aggarwal, V.: Implementation of Industry 4.0: influence of digital natives and agility of employees (2019)
go back to reference Sharma, R., Mithas, S., Kankanhalli, A.: Transforming decision-making processes: a research agenda for understanding the impact of business analytics on organisations (2014) Sharma, R., Mithas, S., Kankanhalli, A.: Transforming decision-making processes: a research agenda for understanding the impact of business analytics on organisations (2014)
go back to reference Sprongl, P.: Gaining competitive advantage through business analytics. Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis 61(7), 2779–2785 (2013)CrossRef Sprongl, P.: Gaining competitive advantage through business analytics. Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis 61(7), 2779–2785 (2013)CrossRef
go back to reference Wamba, S.F., Gunasekaran, A., Akter, S., Ren, S.J.F., Dubey, R., Childe, S.J.: Big data analytics and firm performance: effects of dynamic capabilities. J. Bus. Res. 70, 356–365 (2017)CrossRef Wamba, S.F., Gunasekaran, A., Akter, S., Ren, S.J.F., Dubey, R., Childe, S.J.: Big data analytics and firm performance: effects of dynamic capabilities. J. Bus. Res. 70, 356–365 (2017)CrossRef
go back to reference Whitelock, V.: Business analytics and firm performance: Role of structured financial statement data. J. Bus. Anal. 1(2), 81–92 (2018)CrossRef Whitelock, V.: Business analytics and firm performance: Role of structured financial statement data. J. Bus. Anal. 1(2), 81–92 (2018)CrossRef
go back to reference Wilber, K.: An integral theory of consciousness. J. Conscious. Stud. 4(1), 71–92 (1997) Wilber, K.: An integral theory of consciousness. J. Conscious. Stud. 4(1), 71–92 (1997)
go back to reference Zikmund, W.G., Carr, J.C., Griffin, M.: Business Research Methods. Cengage Learning, Boston (2013) Zikmund, W.G., Carr, J.C., Griffin, M.: Business Research Methods. Cengage Learning, Boston (2013)
Metadata
Title
Value Creation from the Impact of Business Analytics
Authors
Hari Saravanabhavan
Seetha Raman
K. Maddulety
Copyright Year
2020
DOI
https://doi.org/10.1007/978-3-030-64849-7_11

Premium Partner