Skip to main content
Erschienen in: Business & Information Systems Engineering 3/2019

25.02.2019 | Catchword

Augmented Analytics

verfasst von: Nicolas Prat

Erschienen in: Business & Information Systems Engineering | Ausgabe 3/2019

Einloggen

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config
loading …

Excerpt

Business intelligence (BI) and analytics are “the techniques, technologies, systems, practices, methodologies, and applications that analyze critical business data to help an enterprise better understand its business and market and make timely business decisions” (Chen et al. 2012, p. 1166). Although the two terms are sometimes used jointly or interchangeably, BI often refers to reporting, OnLine Analytical Processing (OLAP), dashboards and scorecards, while analytics typically uses advanced techniques based on machine learning. A new term, “augmented analytics”, coined by Gartner (2017a), is shifting the lines between BI and advanced analytics, empowering BI users with advanced machine learning techniques and artificial intelligence. …

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

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!

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+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!

Weitere Produktempfehlungen anzeigen
Literatur
Zurück zum Zitat Abbasi A, Sarker S, Chiang RHL (2016) Big data research in information systems: toward an inclusive research agenda. J Assoc Inf Syst 17 (2):i-xxxii Abbasi A, Sarker S, Chiang RHL (2016) Big data research in information systems: toward an inclusive research agenda. J Assoc Inf Syst 17 (2):i-xxxii
Zurück zum Zitat Agarwal R, Dhar V (2014) Editorial—Big data, data science, and analytics: the opportunity and challenge for IS research. Inf Syst Res 25(3):443–448CrossRef Agarwal R, Dhar V (2014) Editorial—Big data, data science, and analytics: the opportunity and challenge for IS research. Inf Syst Res 25(3):443–448CrossRef
Zurück zum Zitat Alpar P, Schulz M (2016) Self-service business intelligence. Bus Inf Syst Eng 58(2):151–155CrossRef Alpar P, Schulz M (2016) Self-service business intelligence. Bus Inf Syst Eng 58(2):151–155CrossRef
Zurück zum Zitat Batini C, Cappiello C, Francalanci C, Maurino A (2009) Methodologies for data quality assessment and improvement. ACM Comput Surv 41(3):1–52CrossRef Batini C, Cappiello C, Francalanci C, Maurino A (2009) Methodologies for data quality assessment and improvement. ACM Comput Surv 41(3):1–52CrossRef
Zurück zum Zitat Chandler T, Cordeil M, Czauderna T, Dwyer T, Glowacki J, Goncu C, Klapperstueck M, Klein K, Marriott K, Schreiber F, Wilson E (2015) Immersive analytics. In: IEEE international symposium on big data visual analytics, Hobart, pp 1–8 Chandler T, Cordeil M, Czauderna T, Dwyer T, Glowacki J, Goncu C, Klapperstueck M, Klein K, Marriott K, Schreiber F, Wilson E (2015) Immersive analytics. In: IEEE international symposium on big data visual analytics, Hobart, pp 1–8
Zurück zum Zitat Chen H, Chiang RHL, Storey VC (2012) Business intelligence and analytics: from big data to big impact. MIS Q 36(4):1165–1188CrossRef Chen H, Chiang RHL, Storey VC (2012) Business intelligence and analytics: from big data to big impact. MIS Q 36(4):1165–1188CrossRef
Zurück zum Zitat Davis FD (1989) Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Q 13(3):319–340CrossRef Davis FD (1989) Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Q 13(3):319–340CrossRef
Zurück zum Zitat Erl T, Khattak W, Buhler P (2015) Big data fundamentals: concepts, drivers & techniques. Prentice Hall, Upper Saddle River Erl T, Khattak W, Buhler P (2015) Big data fundamentals: concepts, drivers & techniques. Prentice Hall, Upper Saddle River
Zurück zum Zitat Keim D, Andrienko G, Fekete J-D, Görg C, Kohlhammer J, Melançon G (2008) Visual analytics: definition, process, and challenges. In: Kerren A, Stasko JT, Fekete J-D, North C (eds) Information visualization: human-centered issues and perspectives. Springer, Heidelberg, pp 154–175CrossRef Keim D, Andrienko G, Fekete J-D, Görg C, Kohlhammer J, Melançon G (2008) Visual analytics: definition, process, and challenges. In: Kerren A, Stasko JT, Fekete J-D, North C (eds) Information visualization: human-centered issues and perspectives. Springer, Heidelberg, pp 154–175CrossRef
Zurück zum Zitat Lukoianova T, Rubin VL (2014) Veracity roadmap: Is big data objective, truthful and credible? Adv Classif Res Online 24(1):4–15CrossRef Lukoianova T, Rubin VL (2014) Veracity roadmap: Is big data objective, truthful and credible? Adv Classif Res Online 24(1):4–15CrossRef
Zurück zum Zitat Nussbaumer Knaflic C (2015) Storytelling with data: a data visualization guide for business professionals. Wiley, HobokenCrossRef Nussbaumer Knaflic C (2015) Storytelling with data: a data visualization guide for business professionals. Wiley, HobokenCrossRef
Zurück zum Zitat Prat N, Madnick S (2008) Measuring data believability: a provenance approach. In: 41st Annual Hawaii international conference on system sciences, Big Island Prat N, Madnick S (2008) Measuring data believability: a provenance approach. In: 41st Annual Hawaii international conference on system sciences, Big Island
Zurück zum Zitat Prat N, Comyn-Wattiau I, Akoka J (2011) Combining objects with rules to represent aggregation knowledge in data warehouse and OLAP systems. Data Knowl Eng 70(8):732–752CrossRef Prat N, Comyn-Wattiau I, Akoka J (2011) Combining objects with rules to represent aggregation knowledge in data warehouse and OLAP systems. Data Knowl Eng 70(8):732–752CrossRef
Zurück zum Zitat Seddon PB, Constantinidis D, Tamm T, Dod H (2017) How does business analytics contribute to business value? Inf Syst J 27(3):237–269CrossRef Seddon PB, Constantinidis D, Tamm T, Dod H (2017) How does business analytics contribute to business value? Inf Syst J 27(3):237–269CrossRef
Zurück zum Zitat Shearer C (2000) The CRISP-DM model: the new blueprint for data mining. J Data Warehous 5(4):13–22 Shearer C (2000) The CRISP-DM model: the new blueprint for data mining. J Data Warehous 5(4):13–22
Zurück zum Zitat Stein M, Janetzko H, Lamprecht A, Breitkreutz T, Zimmermann P, Goldlücke B, Schreck T, Andrienko G, Grossniklaus M, Keim DA (2018) Bring it to the pitch: combining video and movement data to enhance team sport analysis. IEEE Trans Vis Comput Graph 24(1):13–22CrossRef Stein M, Janetzko H, Lamprecht A, Breitkreutz T, Zimmermann P, Goldlücke B, Schreck T, Andrienko G, Grossniklaus M, Keim DA (2018) Bring it to the pitch: combining video and movement data to enhance team sport analysis. IEEE Trans Vis Comput Graph 24(1):13–22CrossRef
Zurück zum Zitat Storey VC, Song I-Y (2017) Big data technologies and management: What conceptual modeling can do. Data Knowl Eng 108:50–67CrossRef Storey VC, Song I-Y (2017) Big data technologies and management: What conceptual modeling can do. Data Knowl Eng 108:50–67CrossRef
Zurück zum Zitat Watson H (2017) The cognitive decision-support generation. Bus Intell J 22(2):5–14 Watson H (2017) The cognitive decision-support generation. Bus Intell J 22(2):5–14
Metadaten
Titel
Augmented Analytics
verfasst von
Nicolas Prat
Publikationsdatum
25.02.2019
Verlag
Springer Fachmedien Wiesbaden
Erschienen in
Business & Information Systems Engineering / Ausgabe 3/2019
Print ISSN: 2363-7005
Elektronische ISSN: 1867-0202
DOI
https://doi.org/10.1007/s12599-019-00589-0

Weitere Artikel der Ausgabe 3/2019

Business & Information Systems Engineering 3/2019 Zur Ausgabe