Intro
As data becomes a greater part of our everyday lives, how to create a data-guided organisation is a common question for many business leaders.
Data-Guided Research Paper
This research paper explores where some businesses have succeeded, and how to use these lessons to create your own data-guided organisation.
With Computing magazine, we surveyed 150 decision makers, representing organisations from a wide variety of industries in an attempt to answer common questions about data and analytics in business.
Many organisations have been hoarding data for some years, but unlocking the immense value held within that data is a challenge that every business faces. It is a cross-organisational challenge spanning technology, leadership, cultural, and ethical considerations.
The organisations which stand to gain the most from their data are building a data-guided strategy. This encompasses vision, people, operations, governance and technology. The analysis in this research paper focuses on what’s holding back some businesses. We also delve into new and emerging technologies, and the importance of your organisational structures to derive insights from data.
Data-Guided Organisations
The success of data democratisation depends on a host of factors – organisational, technical and cultural. To begin with, in this research paper we want to discuss how businesses are building data-guided organisations. Moreover, we want to judge how successfully they are doing so.
To achieve this, we must first establish what their motivations are when shaping data strategy. We asked respondents to rank several factors in their order of importance in shaping these strategies. Likewise, there are a range of reasons why businesses are failing in becoming data-guided.
We asked those participating in our research to share areas where they had encountered obstacles during the implementation of data strategies. Indeed, many businesses are still wrestling with the basics, turning data into actionable insight seems a million miles away.
Overall, this analysis can be used to identify the best path to becoming data-guided. In turn, this helps make your organisation more productive, efficient and competitive.
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