QMLEx: Data Driven Digital Transformation in Marketing Analytics

2021 ◽  
Author(s):  
Angela Geronazzo ◽  
Markus Ziegler
Keyword(s):  
Digital Transformation ◽  
Data Driven ◽  
Marketing Analytics

scholarly journals Technoversal Leader: Triumphant Leader of the Technological Era

2020 ◽  
Vol 23 (1) ◽  
pp. 440
Author(s):  
Hakan Kapucu
Keyword(s):  
Significant Role ◽  
Scientific Knowledge ◽  
New World ◽  
World Order ◽  
Digital Transformation ◽  
Business Leaders ◽  
Data Driven ◽  
Critical Component ◽  
New World Order ◽  
The Past

The new world order reminds disruptions and turmoil. Exponentially-developing technology plays a significant role in causing these radical changes. These rapidly-changing conditions affect leaders with all humans. As scientific knowledge, digital transformation, technology is a backbone at the point that humanity has reached. Thus, it has become a critical component, which affects leader behaviors and the skillset expected from them. In this context, this article introduces a new leader who distinguishes from other styles. This distinction arises from the skills that leaders must adopt in the future are different than the past, from the reality of the earth’s being on the edge of collapse, business leaders’ being obliged to act upon it. And along with these specific behaviors, the leaders’ having data-driven mindsets, being technology adept.

Call for Special Issue Papers: Big Data-Driven Futuristic Fabric System in Societal Digital Transformation

Big Data ◽  
2021 ◽  
Author(s):  
Dr. Chinmay Chakraborty ◽  
Prof. Muhammad Khurram Khan ◽  
Prof. Ishfaq Ahmad
Keyword(s):  
Big Data ◽  
Digital Transformation ◽  
Data Driven ◽  
Special Issue ◽  
Fabric System

La orientación al dato, nuevos desafíos

Tábula ◽  
2021 ◽  
Author(s):  
Miguel Ángel Amutio Gómez
Keyword(s):  
European Union ◽  
Digital Transformation ◽  
Data Driven ◽  
The European Union ◽  
Data Preservation ◽  
The Future ◽  
Data Driven Approach ◽  
New Challenges ◽  
The Impact

La orientación al dato en el contexto de la transformación digital lleva aparejada la aparición de nuevas regulaciones, dinámicas de gobernanza y roles, y servicios, junto con las correspondientes prácticas, instrumentos y estándares. A la vez se suscitan retos en relación con la ciberseguridad y la preservación de los datos. En este artículo se exponen la transformación digital y la orientación al dato, la proyección de lo anterior en la administración digital, el contexto de la Unión Europea, trayectoria y su orientación, aspectos de la interoperabilidad, ciberseguridad y preservación de los datos, cuestiones de gobernanza y roles en la orientación al dato y, finalmente, unas conclusiones. The data-driven approach in the context of digital transformation entails the appearance of new regulations, governance dynamics and roles, and services, together with the corresponding practices, instruments and standards. At the same time new challenges appear in relation to cybersecurity and data preservation. This article presents the digital transformation and data-driven approach, the impact in digital administration, the context of the European Union, trajectory and orientation towards the future, along with aspects of interoperability, cybersecurity and data preservation, as well as issues of governance and roles in data orientation and finally some conclusions.

Call for Special Issue Papers: Big Data-Driven Futuristic Fabric System in Societal Digital Transformation

Big Data ◽  
2021 ◽  
Vol 9 (3) ◽  
pp. 151-152
Author(s):  
Chinmay Chakraborty ◽  
Muhammad Khurram Khan ◽  
Ishfaq Ahmad
Keyword(s):  
Big Data ◽  
Digital Transformation ◽  
Data Driven ◽  
Special Issue ◽  
Fabric System

Corporates in the Digital Age

2021 ◽  
pp. 1519-1532
Author(s):  
Hammad Azzam
Keyword(s):  
Digital Age ◽  
Customer Experience ◽  
Digital Transformation ◽  
Data Driven ◽  
Essential Factor ◽  
Global Culture ◽  
Customer Interaction ◽  
The Way

A proposition for digital transformation of global groups into efficient enterprises is introduced. At the heart of the proposition is a transformational practice aimed at creating a customer-focused, data-driven global culture in any customer-serving company. The digital age has added a level of complexity to the way we acquire and serve customers. Doing a good job in the traditional channels is not enough anymore. Online is increasingly becoming the channel of choice with the two main customer-interaction paradigms: sell and service. And building a great customer experience is probably the most essential factor of success for both functions.

scholarly journals Digital transformation: harnessing digital technologies for the next generation of services

2019 ◽  
Vol 33 (4) ◽  
pp. 429-435 ◽  
Author(s):  
Mohamed Zaki
Keyword(s):  
Business Models ◽  
Digital Technologies ◽  
Customer Experience ◽  
Digital Transformation ◽  
Data Driven ◽  
Next Generation ◽  
Content Type ◽  
New Business ◽  
Market Opportunities ◽  
New Business Models

Purpose The purpose of this paper is to discuss digital transformation and its four trajectories – digital technology, digital strategy, customer experience and data-driven business models – that could shape the next generation of services. This includes a discussion on whether both the market and organizations are all ready for the digital change and what are the opportunities that will enable firms to create and capture value though new business models. Design/methodology/approach Providing services is a proven and effective way to secure a competitive position, deliver long-term stable revenues and open up new market opportunities. However, it is also clear that some organisations are struggling to digitally transform. Therefore, the commentary provides a brief insight into how firms explore the possibilities of digital transformation and navigate these uncharted waters. Findings Today’s digital technologies affect the organisation outside and in, enabling the creation of new business models and transforming the customer experience. The incumbents are acutely aware that they need to transform strategically – to build new networks and value chains. Originality/value This commentary extends earlier work exploring the digital disruption within services to highlight a number of connected areas: the challenges and opportunities of digital transformation at a strategic level, as well as understanding and enhancing the customer experience and seeing how new data-driven business models can underpin service transformation.

Corporates in the Digital Age

2019 ◽  
pp. 39-52
Author(s):  
Hammad Azzam
Keyword(s):  
Digital Age ◽  
Customer Experience ◽  
Digital Transformation ◽  
Data Driven ◽  
Essential Factor ◽  
Global Culture ◽  
Customer Interaction ◽  
The Way

A proposition for digital transformation of global groups into efficient enterprises is introduced. At the heart of the proposition is a transformational practice aimed at creating a customer-focused, data-driven global culture in any customer-serving company. The digital age has added a level of complexity to the way we acquire and serve customers. Doing a good job in the traditional channels is not enough anymore. Online is increasingly becoming the channel of choice with the two main customer-interaction paradigms: sell and service. And building a great customer experience is probably the most essential factor of success for both functions.

Technology Focus: Field Development (September 2021)

2021 ◽  
Vol 73 (09) ◽  
pp. 43-43
Author(s):  
Reza Garmeh
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Decision Making ◽  
Data Analytics ◽  
Learning Algorithms ◽  
Development Strategies ◽  
Digital Transformation ◽  
Data Driven ◽  
Development Work ◽  
Field Development

The digital transformation that began several years ago continues to grow and evolve. With new advancements in data analytics and machine-learning algorithms, field developers today see more benefits to upgrading their traditional development work flows to automated artificial-intelligence work flows. The transformation has helped develop more-efficient and truly integrated development approaches. Many development scenarios can be automatically generated, examined, and updated very quickly. These approaches become more valuable when coupled with physics-based integrated asset models that are kept close to actual field performance to reduce uncertainty for reactive decision making. In unconventional basins with enormous completion and production databases, data-driven decisions powered by machine-learning techniques are increasing in popularity to solve field development challenges and optimize cube development. Finding a trend within massive amounts of data requires an augmented artificial intelligence where machine learning and human expertise are coupled. With slowed activity and uncertainty in the oil and gas industry from the COVID-19 pandemic and growing pressure for cleaner energy and environmental regulations, operators had to shift economic modeling for environmental considerations, predicting operational hazards and planning mitigations. This has enlightened the value of field development optimization, shifting from traditional workflow iterations on data assimilation and sequential decision making to deep reinforcement learning algorithms to find the best well placement and well type for the next producer or injector. Operators are trying to adapt with the new environment and enhance their capabilities to efficiently plan, execute, and operate field development plans. Collaboration between different disciplines and integrated analyses are key to the success of optimized development strategies. These selected papers and the suggested additional reading provide a good view of what is evolving with field development work flows using data analytics and machine learning in the era of digital transformation. Recommended additional reading at OnePetro: www.onepetro.org. SPE 203073 - Data-Driven and AI Methods To Enhance Collaborative Well Planning and Drilling-Risk Prediction by Richard Mohan, ADNOC, et al. SPE 200895 - Novel Approach To Enhance the Field Development Planning Process and Reservoir Management To Maximize the Recovery Factor of Gas Condensate Reservoirs Through Integrated Asset Modeling by Oswaldo Espinola Gonzalez, Schlumberger, et al. SPE 202373 - Efficient Optimization and Uncertainty Analysis of Field Development Strategies by Incorporating Economic Decisions in Reservoir Simulation Models by James Browning, Texas Tech University, et al.

Blockchain, the Digital State, and the New World Order

2019 ◽  
pp. 60-79
Keyword(s):  
New World ◽  
New Technologies ◽  
World Order ◽  
Digital Transformation ◽  
Data Driven ◽  
New World Order ◽  
New Paradigm ◽  
The World ◽  
Strategic Program

Governments across the world are grappling with the emergence and integration of new technologies. Front runner Estonia provides the model for how a country might completely transform their government operations, economy, and society through a purposeful, strategic program of digitization. This chapter considers how such countries are approaching digital transformation, outlining considerations for governments and submitting the new paradigm outlined in the BS4SC model of a citizen-centric, data-driven, and decentralised economy.

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