A Strategy for Scaling Advanced Analytics-Reference-Cited by-同舟云学术

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A Strategy for Scaling Advanced Analytics

Published:2023-11-17 Issue:12 Volume:66 Page:29-31
ISSN:0001-0782
Container-title:Communications of the ACM
language:en
Short-container-title:Commun. ACM

Author:

Berndtsson Mikael¹,Jonsson Anna-Carin²,Carlsson Magnus³,Svahn Thomas⁴

Affiliation:

1. University of Skövde, Sweden

2. Capgemini Insights and Data, Stockholm, Sweden

3. Capgemini Insights and Data Nordics, Gothenburg, Sweden

4. Capgemini Insights and Data Sweden, Gothenburg, Sweden

Abstract

Key elements for scaling advanced analytics.

Publisher

Association for Computing Machinery (ACM)

Subject

General Computer Science

Link

https://dl.acm.org/doi/pdf/10.1145/3582075

Reference14 articles.

1. Ashkenas , R. and Matta , N . How to scale a successful pilot project. Harvard Business Review ( 2021 ). Ashkenas, R. and Matta, N. How to scale a successful pilot project. Harvard Business Review (2021).

2. Scaling Up Data-Driven Pilot Projects

3. Berndtsson , M. et al. 13 organizations' attempts to become data-driven . International J. Business Intelligence Research (IJBIR). 11, 1 ( 2020 ), 1--21. Berndtsson, M. et al. 13 organizations' attempts to become data-driven. International J. Business Intelligence Research (IJBIR). 11, 1 (2020), 1--21.

4. Bisson , P. et al. Breaking Away: The Secrets to Scaling Analytics . McKinsey , 2018 . Bisson, P. et al. Breaking Away: The Secrets to Scaling Analytics. McKinsey, 2018.

5. Cam , A. and Chui , M . AI Proves Its Worth, but Few Scale Impact . McKinsey , 2019 . Cam, A. and Chui, M. AI Proves Its Worth, but Few Scale Impact. McKinsey, 2019.

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