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, realtime 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?
相关报告
《用户行为分析:如何用数据驱动增长》读书笔记 by一勺思想
1.2w+
类型:读书笔记
上传时间:2021-10
标签:用户行为、营销、数据)
语言:中文
金额:9.9元
《商业分析全攻略:用数据分析解决商业问题》读书笔记
9525
类型:读书笔记
上传时间:2023-02
标签:商业分析、数据)
语言:中文
金额:9.9元
美国智库7万字:新技术和数据的地缘政治影响建议报告(中英文版)
4316
类型:宏观
上传时间:2021-06
标签:数据、科技、太空)
语言:中英
金额:15元
数据资产化之路:数据资产的估值与行业实践
1791
类型:行研
上传时间:2024-04
标签:数据、资产化、数据资产)
语言:中文
金额:5积分
电子书-成本会计(英文,第15版)charles T. Horngren-963页
1066
类型:电子书
上传时间:2021-06
标签:会计、成本、数据)
语言:英文
金额:5积分
2020年数据与人工智能行业图谱
1005
类型:行研
上传时间:2020-11
标签:数据、人工智能、行业图谱)
语言:英文
金额:5积分
2021年数据报告
901
类型:数据榜单
上传时间:2021-03
标签:2021、数据)
语言:英文
金额:5积分
电子书-数据分析和表达能力(英)
876
类型:电子书
上传时间:2021-08
标签:数据、分析、表达)
语言:英文
金额:5积分
清华大学(张向宏):2024数据要素化新阶段的数据产业发展报告
848
类型:专题
上传时间:2024-08
标签:数据要素、数据)
语言:中文
金额:5积分
Business Statistics in Practice 鲍尔曼实践中的商业统计
814
类型:电子书
上传时间:2020-09
标签:商业统计、数据、模型)
语言:英文
金额:5积分
积分充值
30积分
6.00元
90积分
18.00元
150+8积分
30.00元
340+20积分
68.00元
640+50积分
128.00元
990+70积分
198.00元
1640+140积分
328.00元
微信支付
余额支付
积分充值
应付金额:
0 元
请登录,再发表你的看法
登录/注册