Stephen Few, a preeminent figure in the field of data visualization and business intelligence, has announced the release of the second edition of his seminal work, Now You See It: An Introduction to Visual Data Sensemaking. Scheduled for publication on April 15, 2021, this revised edition represents a significant evolution of the original 2009 text, incorporating advanced methodologies and synthesizing over a decade of progress in the field of quantitative analysis. The release marks a pivotal moment for data professionals, as it merges the foundational principles of visual discovery with the sophisticated analytical techniques previously explored in Few’s 2015 publication, Signal: Understanding What Matters in a World of Noise.
The primary objective of this new edition is to streamline the learning process for analysts, researchers, and business professionals who must navigate an increasingly data-saturated landscape. By consolidating the core teachings of two distinct volumes into a single, refined publication, Few aims to provide a comprehensive roadmap for visual data sensemaking—the process of using the human visual system to identify meaningful patterns, trends, and outliers within quantitative datasets.
The Evolution of Visual Data Sensemaking
The trajectory of Stephen Few’s contributions to data science reflects the broader evolution of the industry. To understand the significance of the 2021 edition of Now You See It, one must look at the chronology of Few’s work and the shifting needs of the data analytics community.
In 2004, Few published Show Me the Numbers, which focused on the effective presentation of quantitative information. This was followed in 2006 by Information Dashboard Design, a book that addressed the need for clear, high-level monitoring of business performance. However, by 2009, it became clear that a gap existed in the literature: while many resources taught people how to present data, few taught them how to analyze it in the first place. This led to the first edition of Now You See It, which introduced the concept of "visual data sensemaking."
As the volume of global data grew—rising from approximately 2 zettabytes in 2010 to an estimated 64 zettabytes by 2020—the challenge shifted from simple analysis to distinguishing "signal" from "noise." In 2015, Few addressed this with Signal, a book that delved into Statistical Process Control (SPC) and more rigorous analytical methods. The 2021 edition of Now You See It brings these threads together, acknowledging that the modern analyst requires both the exploratory freedom of visual discovery and the statistical rigor of process monitoring.
Synthesizing Exploratory and Explanatory Analysis
The second edition of Now You See It is characterized by its integration of advanced techniques into a framework accessible to a broad audience. A major addition to this volume is the inclusion of Statistical Process Control (SPC). Originally developed for manufacturing quality control by Walter Shewhart and popularized by W. Edwards Deming, SPC provides a mathematical and visual framework for determining whether the variation in a process is "normal" (common-cause variation) or represents a significant change that requires attention (special-cause variation).
By incorporating SPC into the visual sensemaking workflow, Few provides analysts with a more robust toolkit for identifying true signals. In the context of business intelligence, this prevents the common mistake of overreacting to minor fluctuations in monthly sales or operational metrics, which are often just random noise. The synthesis of these techniques ensures that the reader is not just looking at charts, but is engaged in a disciplined process of inquiry.
Despite the addition of this complex material, the new edition has been refined to maintain a manageable physical profile. Few has noted that the book has been "combined and refined" to ensure that the content is fluid and efficient, avoiding the excessive bulk that often plagues comprehensive technical manuals. This editorial decision reflects a commitment to the "signal-to-noise" ratio in the writing itself, prioritizing clarity and high-impact information.
Supporting Data: The Growing Need for Data Literacy
The release of this book comes at a time when data literacy is increasingly recognized as a critical skill in the global workforce. According to a 2020 report by the Data Literacy Project, while 85% of executives believe data literacy will be as important in the future as the ability to use a computer is today, only 24% of the global workforce considers themselves data literate.
Furthermore, industry data suggests a significant disconnect between the tools available and the skills of the users. The Business Intelligence (BI) and Analytics market was valued at approximately $22.26 billion in 2020 and is projected to reach over $43 billion by 2028. However, software alone does not equate to insight. Gartner research indicates that through 2022, only 20% of analytic insights will deliver business outcomes due to a lack of skilled human interpretation.
Few’s work addresses this "human-in-the-loop" requirement. Now You See It posits that the most powerful analytical tool is not a specific software package, but the human visual system, provided it is trained to recognize the patterns that matter. This approach is grounded in cognitive psychology and the study of pre-attentive attributes—visual properties like length, color, and position that the brain processes almost instantaneously.
Industry Implications and Professional Response
The announcement of the revised edition has garnered attention from the business intelligence community, where Few’s "no-nonsense" approach is widely respected. Professionals in the field often contrast Few’s methodology with the "chartjunk" and decorative visualization styles often found in marketing-heavy data presentations.
Analysts have reacted positively to the integration of Signal’s content into the Now You See It framework. Inferred reactions from the data science community suggest that a single, unified source for sensemaking is highly desirable for academic curricula and corporate training programs. By moving beyond the "how-to" of software and focusing on the "how-to" of thinking, the book serves as a foundational text that remains relevant regardless of whether an organization uses Tableau, Power BI, or open-source tools like R and Python.
The emphasis on Statistical Process Control is particularly relevant in the post-2020 economic environment. As businesses deal with unprecedented volatility and supply chain disruptions, the ability to distinguish between temporary shocks and permanent shifts in market behavior is essential for strategic planning.
A Chronology of Data Sensemaking Publications by Stephen Few
To appreciate the context of this 2021 release, it is helpful to view the timeline of Few’s primary publications, which have served as the backbone of modern visual analytics:
- 2004: Show Me the Numbers – Established the fundamental rules for table and graph design.
- 2006: Information Dashboard Design – Revolutionized how organizations monitor real-time data.
- 2009: Now You See It (First Edition) – Shifted the focus from presentation to the cognitive process of exploration.
- 2012: It Makes Sense – A shorter work focusing on the broader philosophy of data sensemaking.
- 2015: Signal – Introduced more advanced statistical methods and the concept of noise reduction.
- 2019: The Data Loom – Explored the intersection of data, information, and knowledge.
- 2021: Now You See It (Second Edition) – The definitive synthesis of exploratory visual analysis and statistical signal detection.
The Broader Impact on Information Science
The release of Now You See It: An Introduction to Visual Data Sensemaking has implications that extend beyond the corporate boardroom. In an era of "big data," the risk of misinformation—whether intentional or accidental—is high. When data is presented without a rigorous sensemaking process, it can easily be manipulated to support false narratives.
Few’s methodology encourages a skeptical and disciplined approach to data. By teaching users to look for patterns and then test the validity of those patterns using visual and statistical checks, the book promotes a higher standard of intellectual honesty in analysis. This is particularly vital in fields such as public health, climate science, and economics, where the "sense" made of data can influence policy and public safety.
Furthermore, the book reinforces the idea that technology is an augmentative tool rather than a replacement for human judgment. As Artificial Intelligence (AI) and Machine Learning (ML) become more prevalent, there is a tendency to view analysis as an automated "black box." Few’s work counters this by highlighting the nuances of data that require human context and visual intuition to solve.
Conclusion
The second edition of Now You See It: An Introduction to Visual Data Sensemaking represents a culmination of Stephen Few’s career-long effort to professionalize the field of data analysis. By merging the intuitive power of visual exploration with the analytical discipline of Statistical Process Control, the book provides a comprehensive framework for the modern era.
As it becomes available on April 15, 2021, the publication is set to become a standard reference for anyone tasked with turning raw data into actionable knowledge. In a world where data is abundant but insight is rare, the skills taught in this volume are not merely technical requirements; they are essential competencies for navigating the complexities of the 21st century. The move to combine the best of Now You See It and Signal into a single, efficient volume ensures that the next generation of analysts has a clear, concise, and powerful guide to making sense of the world through data.
