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"Industrial marketing Data processing."
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AI-driven value management : how AI can help bridge the gap across the enterprise to achieve customer success
by
LeGrande, Craig, author
,
Lakshminarayanan, Venky, author
in
Industrial marketing Data processing.
,
Artificial intelligence Marketing applications.
,
Business and Management.
2024
Craig LeGrande and Venky Lakshminarayanan reveal how artificial intelligence can revolutionise B2B value management. This book lays out a strategic blueprint for cost-effectively scaling value management programs. Value management is the art and science of orchestrating all the business functions in your company to envision and create exceptional value for your customers - and in the process enhance your pipeline, revenue and renewals. It's designed for business leaders who are looking to harness AI to gain a competitive edge and boost pipeline, revenue and expansions, effectively solving the problem of expensive scaling in business-to-business sales and marketing.
Storytelling with data
by
Cole Nussbaumer Knaflic
in
Business communication
,
Computer graphics
,
Information visualization
2015
Don't simply show your data--tell a story with it!Storytelling with Data teaches you the fundamentals of data visualization and how to communicate effectively with data.You'll discover the power of storytelling and the way to make data a pivotal point in your story.
Learning einstein analytics
by
Chitalkar, Santosh Tukaram
in
Application Development
,
COMPUTERS / Networking / General
,
Dashboards (Management information systems)
2018,2024
Salesforce Einstein analytics aka Wave Analytics is a cloud-based platform which connects data from the multiple sources and explores it to uncover insights. It empowers sales reps, marketers, and analysts with the insights to make customer interactions smarter, without building mathematical models. You will learn to create app, lenses, dashboards and share dashboards with other users. This book starts off with explaining you fundamental concepts like lenses, step, measures and sets you up with Einstein Analytics platform. We then move on to creating an app and here you will learn to create datasets, dashboards and different ways to import data into Analytics. Moving on we look at Einstein for sales, services, and marketing individually. Here you will learn to manage your pipeline, understand important business drivers and visualize trends. You will also learn features related to data monitoring tools and embedding dashboards with lightning, visualforce page and mobile devices. Further, you will learn advanced features pertaining to recent advancements in Einstein which include machine learning constructs and getting predictions for events. By the end of this book, you will become proficient in the Einstein analytics, getting insights faster and understanding your customer in a better way.
Towards Industry 4.0
by
Ardito, Lorenzo
,
Panniello, Umberto
,
Garavelli, Achille Claudio
in
Cloud computing
,
Customer services
,
Cybersecurity
2019
PurposeThe purpose of this paper is to present a comprehensive picture of the innovative efforts undertaken over time to develop the digital technologies for managing the interface between supply chain management and marketing processes and the role they play in sustaining supply chain management-marketing (SCM-M) integration from an information processing point of view.Design/methodology/approachPatent analysis and actual examples are used to carry out this study. In detail, first, the authors identify the subset of enabling technologies pertaining to the fourth industrial revolution (Industry 4.0) that can be considered the most relevant for effective SCM-M integration (i.e. Industrial Internet of Things, Cloud computing, Big Data analytics and customer profiling, Cyber security). Second, the authors carry out a patent analysis aimed at providing a comprehensive overview of the patenting activity trends characterizing the set of digital technologies under investigation, hence highlighting their innovation dynamics and applications.FindingsThis research provides insightful information about which digital technologies may enable the SCM-M integration. Specifically, the authors highlight the role those solutions play in terms of information acquisition, storage and elaboration for SCM-M integration by relying on illustrative actual examples. Moreover, the authors present the organisations more involved in the development of digital technologies for SCM-M integration over time and offer an examination of their technological impact in terms of influence on subsequent technological developments.Originality/valueSo far, much has been said about why marketing and supply chain management functions should be integrated. However, a clear picture of the digital technologies that might be adopted to achieve this objective has yet to be revealed. Thus, the paper contributes to the literature on SCM-M integration and Industry 4.0 by highlighting the enabling technologies for the Industry 4.0 that may particularly serve for managing the SCM-M interface from an information processing perspective.
Journal Article
Data-driven Marketing Content
2019
This practical content guide empowers businesses to understand, identify and act on big-data opportunities, producing superior business insights for prolific marketing gains.
Gurus, Hired Guns, and Warm Bodies
2011,2004,2006
Over the last several decades, employers have increasingly replaced permanent employees with temporary workers and independent contractors to cut labor costs and enhance flexibility. Although commentators have focused largely on low-wage temporary work, the use of skilled contractors has also grown exponentially, especially in high-technology areas. Yet almost nothing is known about contracting or about the people who do it. This book seeks to break the silence.
Customer data platforms
by
Martin Kihn
,
Chris O'Hara
in
Customer relations
,
Customer relations -- Data processing
,
Data processing
2021,2020
Master the hottest technology around to drive marketing success Marketers are faced with a stark and challenging dilemma: customers demand deep personalization, but they are increasingly leery of offering the type of personal data required to make it happen.
AI-Enabled Analytics for Business
by
Zwerling, Robert J
,
Sorensen, Jesper H
,
Maisel, Lawrence S
in
Artificial intelligence
,
Artificial intelligence-Marketing applications
,
Business
2022
We are entering the era of digital transformation where human and artificial intelligence (AI) work hand in hand to achieve data driven performance.Today, more than ever, businesses are expected to possess the talent, tools, processes, and capabilities to enable their organizations to implement and utilize continuous analysis of past business.
The impact of cross-functional coordination on customer coordination and operational performance: an information processing view
2022
PurposeThis study aims to investigate the impact of cross-functional coordination (cross-functional system, process and team coordination) on customer coordination (customer strategic and operational coordination) and operational performance. Following the lens of information processing theory (IPT), this study examines the diverse mechanisms of cross-functional coordination practices in enhancing firms’ information processing capabilities (IPCs) to cope with the higher information processing demands resulting from customer coordination, finally improving operational performance.Design/methodology/approachBased on data collected from 410 Chinese manufacturers, the authors use the structural equation modeling method to test the theoretical model.FindingsThe authors found that cross-functional system coordination is positively associated with customer operational coordination (COC) but not customer strategic coordination (CSC). Cross-functional process coordination increases both customer strategic and operational coordination. Cross-functional team coordination significantly promotes CSC but not COC. Both customer operational and strategic coordination facilitate operational performance.Originality/valueThis research pioneers in identifying three dimensions of cross-functional coordination based on IPT and examine their distinct impacts on various customer coordination activities. The authors distinguish two customer coordination dimensions and reveal their effects on operational performance. This research contributes to the development of IPT. Additionally, this study provides guidelines for managers to coordinate internal departments and collaborate with external customers to enhance firms’ operational performance.
Journal Article