textabstractDeveloping state-of-the art data analytics capabilities is a challenge for traditional companies with long-established processes and legacy systems. We describe how one such company (a Swiss electricity utility) conducted a seed project-a bottom-up initiative to develop an analytics ecosystem of business, organizational and technological capabilities. This project was an effective first step in growing the company's analytics capabilities. Based on this case, we provide four key lessons that can be used by other traditional companies seeking to develop new digital capabilities
The ability to derive new insights from data using advanced machine learning or analytics techniques...
Organisations with high-performing data and analytics capabilities are more successful than organisa...
Purpose: The purpose of this paper is to analyze, from a dynamic capabilities perspective, the role ...
Developing state-of-the art data analytics capabilities is a challenge for traditional companies wit...
Developing state-of-the art data analytics capabilities is a challenge for traditional companies wit...
Decision-making is no longer based on human preferences and expertise alone. The era of big data bri...
As technology evolves and the amount of available data increases across industries, companies race t...
Today, servitization has reached its saturation point as enterprises in almost every business and co...
Companies seek significant potential from the datasets they generate within their core processes. Ho...
Despite the documented potential of Big Data Analytics Capabilities (BDAC), it is by no means clear ...
It could be argued that the power of data is located in what they are used to reveal. Yet we have li...
The advancement in technology is transforming societies into digital arenas and paves the way toward...
Disruptive technologies, such as analytics, cognitive, and Internet of Things (IoT), are currently t...
Big data analytics (BDA) has the potential to provide firms with competitive benefits. Despite its m...
Analyzing “big data” holds huge potential for generating business value. The ongoing advancement of ...
The ability to derive new insights from data using advanced machine learning or analytics techniques...
Organisations with high-performing data and analytics capabilities are more successful than organisa...
Purpose: The purpose of this paper is to analyze, from a dynamic capabilities perspective, the role ...
Developing state-of-the art data analytics capabilities is a challenge for traditional companies wit...
Developing state-of-the art data analytics capabilities is a challenge for traditional companies wit...
Decision-making is no longer based on human preferences and expertise alone. The era of big data bri...
As technology evolves and the amount of available data increases across industries, companies race t...
Today, servitization has reached its saturation point as enterprises in almost every business and co...
Companies seek significant potential from the datasets they generate within their core processes. Ho...
Despite the documented potential of Big Data Analytics Capabilities (BDAC), it is by no means clear ...
It could be argued that the power of data is located in what they are used to reveal. Yet we have li...
The advancement in technology is transforming societies into digital arenas and paves the way toward...
Disruptive technologies, such as analytics, cognitive, and Internet of Things (IoT), are currently t...
Big data analytics (BDA) has the potential to provide firms with competitive benefits. Despite its m...
Analyzing “big data” holds huge potential for generating business value. The ongoing advancement of ...
The ability to derive new insights from data using advanced machine learning or analytics techniques...
Organisations with high-performing data and analytics capabilities are more successful than organisa...
Purpose: The purpose of this paper is to analyze, from a dynamic capabilities perspective, the role ...