凯捷:数据驱动的企业(英文 64 页)

凯捷:数据驱动的企业(英文 64 页)


Introduction

The already-rich seam of global data shows no sign of letting up – volumes of digital data are expected to reach 40 ZB this year, up from 1.8 ZB in 2011.1 To put this into some sort of perspective – this is 40 trillion gigabytes, equivalent not just to every grain of sand on all the world’s beaches, but 57 times that amount. However, the sheer volume of data in our hands today in no way translates into equivalent levels of actionable and credible insights. 

This is a problem, as data has never been more important. The uncertainty unleashed by the ongoing COVID-19 crisis has heightened the need for forward-looking, real-time insights and scenario modelling, such as pandemic modeling. Actionable data is the most critical factor in digital transformation. But aside from a few high-performers – what we call the Data Masters – our research shows that data capability is patchy among many organizations today.

So, what is it that separates those leading firms that do have a sophisticated capability? What are the unique attributes of their business and technical teams and how can others emulate them to become data-powered enterprises? To answer these questions, we surveyed 500 technology executives and 500 business executives from a range of industries, and conducted detailed interviews with more than 15 executives. We also looked at the relationship between data mastery and the financial performance of organizations. 

Based on our research, we look at the following key areas in this report:

1. Where are organizations today in their data journey?

2. What gaps exist between data executives’ perceptions and the expectations of business executives on the data mastery of their organizations?

3. Who are the data masters?

4. What are the benefits they achieve?

5. How can we build a data-powered enterprise and what can we learn from the masters in this field?

介绍

全球数据已经十分丰富,但丝毫没有松懈的迹象–数字数据量预计将从2011年的1.8 ZB增长到今年的40ZB。从某种角度来看–这是40万亿G字节,相当于不仅是全世界所有海滩上的每一粒沙,而且是这个数量的57倍。但是,如今我们手中的海量数据绝对无法转化为同等水平的可行且可靠的见解。

这是一个问题,因为数据从未如此重要。正在进行中的COVID-19释放了不确定性危机加剧了对前瞻性,实时洞察和情景建模(例如流行病建模)的需求。可行的数据是数字转换中最关键的因素。但是,除了一些高性能的产品(我们称为数据大师)之外,我们的研究表明,当今许多组织中的数据功能都是零散的。

那么,是什么将那些确实具有复杂能力的领先公司区分开来呢?他们的业务和技术团队的独特属性是什么?其他人如何模仿它们成为以数据为动力的企业?为了回答这些问题,我们对来自各个行业的500位技术主管和500位业务主管进行了调查,并对15位以上的主管进行了详细的采访。我们还研究了数据掌握与组织财务绩效之间的关系。

根据我们的研究,我们研究了本报告中的以下关键领域:

1.今天的企业处于数据发展过程中的哪个位置?

2.数据主管的看法与业务主管对组织数据掌握的期望之间存在什么差距?

3.谁是数据主控者?

4.他们可以获得什么好处?

5.我们如何建立以数据为动力的企业?我们可以从该领域的大师那里学到什么?


[报告关键词]:   数据    数字化转型  
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