Literature DB >> 23074867

Making advanced analytics work for you.

Dominic Barton1, David Court.   

Abstract

Senior leaders who write off the move toward big data as a lot of big talk are making, well, a big mistake. So argue McKinsey's Barton and Court, who worked with dozens of companies to figure out how to translate advanced analytics into nuts-and-bolts practices that affect daily operations on the front lines. The authors offer a useful guide for leaders and managers who want to take a deliberative approach to big data-but who also want to get started now. First, companies must identify the right data for their business, seek to acquire the information creatively from diverse sources, and secure the necessary IT support. Second, they need to build analytics models that are tightly focused on improving performance, making the models only as complex as business goals demand. Third, and most important, companies must transform their capabilities and culture so that the analytical results can be implemented from the C-suite to the front lines. That means developing simple tools that everyone in the organization can understand and teaching people why the data really matter. Embracing big data is as much about changing mind-sets as it is about crunching numbers. Executed with the right care and flexibility, this cultural shift could have payoffs that are, well, bigger than you expect.

Entities:  

Mesh:

Year:  2012        PMID: 23074867

Source DB:  PubMed          Journal:  Harv Bus Rev        ISSN: 0017-8012


  10 in total

Review 1.  A review of analytics and clinical informatics in health care.

Authors:  Allan F Simpao; Luis M Ahumada; Jorge A Gálvez; Mohamed A Rehman
Journal:  J Med Syst       Date:  2014-04-03       Impact factor: 4.460

2.  The Impact of Big Data Management Capabilities on the Performance of Manufacturing Firms in Asian Economy During COVID-19: The Mediating Role of Organizational Agility and Moderating Role of Information Technology Capability.

Authors:  Junling Zhang; Hualong Li
Journal:  Front Psychol       Date:  2022-07-06

3.  The Source of SMEs' Competitive Performance in COVID-19: Matching Big Data Analytics Capability to Business Models.

Authors:  Jianmin Song; Senmao Xia; Demetris Vrontis; Arun Sukumar; Bing Liao; Qi Li; Kun Tian; Nengzhi Yao
Journal:  Inf Syst Front       Date:  2022-05-19       Impact factor: 5.261

Review 4.  Obstetric anaesthesia practice: Dashboard as a dynamic audit tool.

Authors:  Sunil T Pandya; Kausalya Chakravarthy; Aparna Vemareddy
Journal:  Indian J Anaesth       Date:  2018-11

5.  How Patients Use a Patient Portal: An Institutional Case Study of Demographics and Usage Patterns.

Authors:  Raymond Tsai; Elijah J Bell; Hawkin Woo; Kevin Baldwin; Michael A Pfeffer
Journal:  Appl Clin Inform       Date:  2019-02-06       Impact factor: 2.342

6.  Financial Performance Under the Influence of the Coronavirus Disease 2019: Effects of Strategic Flexibility and Environmental Dynamics in Big Data Capability.

Authors:  Limei Chen; Liping Zhai; Weiwei Zhu; Gongzhi Luo; Jing Zhang; Yaozhen Zhang
Journal:  Front Psychol       Date:  2021-12-20

7.  The Effect of Big Data Analytics Capability on Competitive Performance: The Mediating Role of Resource Optimization and Resource Bricolage.

Authors:  Bo Huang; Jianmin Song; Yi Xie; Yuyu Li; Feng He
Journal:  Front Psychol       Date:  2022-06-10

8.  How do firms create business value and dynamic capabilities by leveraging big data analytics management capability?

Authors:  Jingmei Gao; Zahid Sarwar
Journal:  Inf Technol Manag       Date:  2022-10-16

9.  The influencing mechanism of big data analytics technology capability on enterprise's operational performance: The mediating role of data-tool fit.

Authors:  Xiangmeng Huang; Shuai Yang; Junbin Wang; Fengli Lin; Yunfei Jiang
Journal:  Front Psychol       Date:  2022-09-23

10.  From Observation to Information: Data-Driven Understanding of on Farm Yield Variation.

Authors:  Daniel Jiménez; Hugo Dorado; James Cock; Steven D Prager; Sylvain Delerce; Alexandre Grillon; Mercedes Andrade Bejarano; Hector Benavides; Andy Jarvis
Journal:  PLoS One       Date:  2016-03-01       Impact factor: 3.240

  10 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.