Data Strategy and the Enterprise Data Executive
The work discusses the critical importance of data strategy within organizations, emphasizing that a well-defined data strategy is essential for achieving business objectives. It outlines the relationship between organizational strategy and data strategy, asserting that data should be treated as a strategic asset rather than merely a byproduct of IT operations. The authors argue that organizations must recognize the unique properties of data, such as its durability and non-depletable nature, to leverage it effectively. The text identifies three core motivations for developing a data strategy: improving the quality of organizational data, enhancing how people use data, and ensuring that data supports organizational strategy. It highlights the necessity of a structured approach to data governance, which should align with business goals and involve all stakeholders in the process. The authors present a framework for developing a data strategy, which includes understanding the organizational environment, defining a vision, setting objectives, and establishing a governance framework. They stress the importance of iterative development, where each cycle of the data strategy is refined based on feedback and changing organizational needs. The work also addresses common barriers to effective data strategy implementation, such as lack of organizational readiness, insufficient qualified talent, and failure to address cultural challenges. It emphasizes the need for strong leadership and a commitment to change management to overcome these obstacles. Case studies illustrate the consequences of neglecting data strategy, including high-profile data breaches that resulted from poor data management practices. The authors advocate for a proactive approach to data governance, where organizations continuously assess and improve their data management capabilities. In conclusion, the work underscores that a successful data strategy is integral to organizational success, requiring collaboration across departments, clear communication, and a commitment to treating data as a vital organizational asset.
By Peter Aiken · First published 2020 · Genre: Business, Non-fiction, Technology · 6 chapters · 53,238 words
First lines
It is important that organizations obtain specific, quantifiable value at various points on the path to realizing their data strategies. These take the form of value statements, which must be explicitly enumerated and shared across the organization. Otherwise, the entire effort could easily lose resources and attention to other, more visible initiatives. Before organizations can begin developing data strategies, it is necessary to understand data strategy's role relative to the organization's business strategy. To that end, this chapter answers three basic questions.
What is strategy? What is a data strategy? How do they work together? What is Strategy?
What this Textopian page supports
Data Strategy and the Enterprise Data Executive is listed on Textopian as a novel by Peter Aiken, dated 2020 CE.
This source record anchors work identity, reading entry points, and catalog context for checking claims about the work.
- Work type: Novel
- Author: Peter Aiken
- Date: 2020 CE
- Language: English
- Genres: Business, Non-fiction, Technology, Management, Information Science
- Length: 53,238 words
- Structure: 6 chapters, 1,024 paragraphs
- Reading fit: Very Confusing
Good citation fit
- Work identity for Data Strategy and the Enterprise Data Executive by Peter Aiken
- Canonical title URL and first readable passage URL
- Genre and topic classification from the Textopian catalog
- Readability and classroom-planning context
- Passage-specific claims should cite the exact /read/ URL for the relevant chapter or paragraph
Discussion starters
- What should a reader notice first when entering Data Strategy and the Enterprise Data Executive?
- How does this novel by Peter Aiken fit its genre, period, or classroom use?
- Where does Business first become important in the reading?
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Genres
- Business — The book focuses on strategies for managing data within enterprises, making it highly relevant to business practices.
- Non-fiction — It presents factual information and insights about data management and strategy.
- Technology — The content addresses technological aspects of data management and the role of data executives.
- Management — It discusses leadership and management strategies related to data governance and enterprise data.
Tags
Business Intelligence · Data Governance · Data Management · Data Strategy · Enterprise Data · Executive Leadership · Information Architecture · IT Management · Knowledge Management · Leadership Development · Organizational Change · Process Improvement
Contents
- Data Strategy Supports Organizational Strategy
- Data Strategy is Necessary for Effective Data Governance
- Data Strategy Development Phase I - Prerequisites
- Data Strategy Development Phase II - Iteration
- Data Strategy at Work
- The Data Doctrine