Existing organisations are often burdened with the legacy of out-of-date business models – an aspect of their existing complexity that prohibits obtaining the maximum benefit from being data-driven. Transformation is a continuous process of refinement and self-reflection as organisations navigate the Volatile, Uncertain, Complex and Ambiguous world. Measurement can only produce data. Having immediate access to the ‘right’ combinations of data is the key to becoming a data-driven organisation. What is done to turn that data into information and insight is the key to becoming a people-focused organisation. While some decisions can be driven directly by the ‘right’ data inputs, other decision-making processes may require ‘gut reaction’ or emot...
Abstract Purpose: Services are evolving from generic to personalized, and the reverse use of custom...
Decision making requires managers to carefully analyse the business environment and make sense of ex...
The purpose of this article is to examine and debate the impact of data-driven decision making on ad...
Existing organisations are often burdened with the legacy of out-of-date business models – an aspect...
Background: The business model (BM) is an essential part of firms and it needs to be innovated conti...
Reactive organisations move through different strategies and business models with surprising regular...
The file attached to this record is the author's final peer reviewed version.Despite burgeoning oppo...
Thesis: S.M. in Management Studies, Massachusetts Institute of Technology, Sloan School of Managemen...
In today's world having the right data to support decision making is critical for organisations. The...
Maximizing the value from data has become a key challenge for companies as it helps improve operatio...
The use of data analysis and Big Data has become increasingly important and is even a necessity for ...
– Intelligent way of managing data Today’s business is run by data. Still there are many companies t...
The 21st century is all about data, and companies are constantly improving their internal systems an...
In general, at smaller companies, decisions are based on the intuition of their experts within their...
Today, servitization has reached its saturation point as enterprises in almost every business and co...
Abstract Purpose: Services are evolving from generic to personalized, and the reverse use of custom...
Decision making requires managers to carefully analyse the business environment and make sense of ex...
The purpose of this article is to examine and debate the impact of data-driven decision making on ad...
Existing organisations are often burdened with the legacy of out-of-date business models – an aspect...
Background: The business model (BM) is an essential part of firms and it needs to be innovated conti...
Reactive organisations move through different strategies and business models with surprising regular...
The file attached to this record is the author's final peer reviewed version.Despite burgeoning oppo...
Thesis: S.M. in Management Studies, Massachusetts Institute of Technology, Sloan School of Managemen...
In today's world having the right data to support decision making is critical for organisations. The...
Maximizing the value from data has become a key challenge for companies as it helps improve operatio...
The use of data analysis and Big Data has become increasingly important and is even a necessity for ...
– Intelligent way of managing data Today’s business is run by data. Still there are many companies t...
The 21st century is all about data, and companies are constantly improving their internal systems an...
In general, at smaller companies, decisions are based on the intuition of their experts within their...
Today, servitization has reached its saturation point as enterprises in almost every business and co...
Abstract Purpose: Services are evolving from generic to personalized, and the reverse use of custom...
Decision making requires managers to carefully analyse the business environment and make sense of ex...
The purpose of this article is to examine and debate the impact of data-driven decision making on ad...