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Introduction to Big Data in Small Business 《小企业大数据导论
Pub Date : 2021-09-21 DOI: 10.4337/9781839100161.00007
Carsten L. Pedersen, A. Lindgreen, Thomas Ritter, T. Ringberg
This is a book about big data in small businesses. How do small and medium-sized enterprises (SMEs), with limited resources, thrive in a context abundant with data? To address this central question from multiple viewpoints, we introduce a collection of experiences, insights, and guidelines from a variety of researchers, each of whom provides a piece to solve this puzzle. Today, data often are described as “big,” and they also are increasing in size with each day that passes. Accordingly, the promise of success linked to using these data is presumed to be similarly big, and expectations are still rising. Yet for many firms, especially SMEs, each of the steps they take is quite small. Even if firms can only take small steps, designing a pathway that comprises many, well-placed small steps can create movement and progression. Thus, there is no contradiction between small steps and big data success. It “merely” requires patience, cadence, and an ability to maintain a balance. In our ongoing research on data commercialization, we often encounter firms that profess to feeling overwhelmed by the amount of data available and the expectations set, both by themselves and partners in their business ecosystem. The feeling of being overwhelmed is intensified by the lack of resources, which is especially pressing for SMEs. Despite these challenges, we also have often encountered intriguing business development initiatives by SMEs that circumvented the obstacles. These experiences triggered our interest in crafting a book that would be full of ideas to inspire big data-driven success by SMEs that make smaller investments. We are not talking about million-dollar bets and unicorns; rather, our focus is on solid work and experiments that guide the data utilization journey for SMEs. It is not that we are against million-dollar projects and moon-is-the-limit ambitions, but there must be a place for “ordinary” data-driven journeys that firms of any size can take. Before we introduce the chapters of the book, we thus present some general issues and challenges for SMEs seeking to leverage big data today.
这是一本关于小企业大数据的书。资源有限的中小企业如何在数据丰富的环境中茁壮成长?为了从多个角度解决这个核心问题,我们介绍了来自各种研究人员的经验,见解和指导方针,他们每个人都提供了解决这个难题的一部分。今天,数据通常被描述为“大”,而且它们的大小也在一天天增加。因此,与使用这些数据相关的成功前景被认为同样巨大,而且预期仍在上升。然而对于许多公司,尤其是中小企业来说,他们所采取的每一步都是相当小的。即使公司只能迈出一小步,设计一条由许多适当的小步骤组成的道路也能创造运动和进步。因此,小步骤和大数据的成功之间并不矛盾。它“仅仅”需要耐心、节奏和保持平衡的能力。在我们正在进行的数据商业化研究中,我们经常遇到一些公司,他们声称自己和商业生态系统中的合作伙伴对可用数据量和期望设置感到不知所措。资源匮乏加剧了这种不知所措的感觉,这对中小企业来说尤为紧迫。尽管有这些挑战,我们也经常遇到一些有趣的中小企业发展计划,他们绕过了这些障碍。这些经历激发了我们的兴趣,想要写一本书,书中充满了启发中小企业在大数据驱动下取得成功的想法,这些中小企业的投资规模较小。我们不是在谈论百万美元的赌注和独角兽;相反,我们的重点是扎实的工作和实验,指导中小企业的数据利用之旅。这并不是说我们反对百万美元的项目和月球是极限的雄心,而是必须为任何规模的公司都可以进行的“普通”数据驱动的旅程提供一席之地。在我们介绍本书的章节之前,我们因此提出了当今寻求利用大数据的中小企业的一些一般问题和挑战。
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引用次数: 0
Revenue blueprinting: identifying growth potential using customer data and customer insights 收入蓝图:利用客户数据和客户洞察识别增长潜力
Pub Date : 2021-09-21 DOI: 10.4337/9781839100161.00021
Henrik Andersen, Thomas Ritter
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引用次数: 0
GDPR compliant processing of big data in small business 符合GDPR的小企业大数据处理
Pub Date : 2021-09-21 DOI: 10.4337/9781839100161.00010
J. Trzaskowski
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引用次数: 1
How experimental data can optimize e-learning 实验数据如何优化电子学习
Pub Date : 2021-09-21 DOI: 10.4337/9781839100161.00019
Camilla Nellemann, Torben Pedersen
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引用次数: 0
Facilitating big data transformation in Danish SMEs: insights for managers 促进丹麦中小企业的大数据转型:给管理者的启示
Pub Date : 2021-09-21 DOI: 10.4337/9781839100161.00024
P. Rydén, Helle Rootzén
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引用次数: 0
Capitalizing on human capital analytics in small and medium-sized enterprises 中小企业人力资本分析资本化
Pub Date : 2021-09-21 DOI: 10.4337/9781839100161.00018
Frederik Nygaard, D. Minbaeva
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引用次数: 0
Analyzing and developing digitization capabilities for data-driven projects in SMEs 分析和开发中小企业数据驱动项目的数字化能力
Pub Date : 2021-09-21 DOI: 10.4337/9781839100161.00014
Carsten L. Pedersen, Thomas Ritter
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引用次数: 0
Value-creation for Industry 4.0 and SMEs data-driven growth: strategies and resource alignment 工业4.0和中小企业数据驱动增长的价值创造:战略和资源对齐
Pub Date : 2021-09-21 DOI: 10.4337/9781839100161.00013
Bieke Struyf, Wouter Van Bockhaven, P. Matthyssens
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引用次数: 0
Big Data and SMEs 大数据与中小企业
Pub Date : 2021-09-04 DOI: 10.4337/9781839100161.00011
Vania Sena, S. Ozdemir
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引用次数: 0
Transforming small and medium-sized enterprises (SMEs) to digitally enabled landscapes 将中小型企业(SMEs)转变为数字化景观
Pub Date : 1900-01-01 DOI: 10.4337/9781839100161.00023
B. Tronvoll, C. Kowalkowski, David Sörhammar
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引用次数: 0
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Big Data in Small Business
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