Executive Summary: Data Visualization and Discovery for Better Business Decisions
- By David Stodder
- July 1, 2013
Far from mere “eye candy,” data visualization is critical to fulfilling widely held goals for expanding
organizations’ analytics culture and driving more decisions with data. Across organizations,
employees who are subject matter experts in areas such as marketing, customer service, online
engagement, finance, and more need to interact with data and analyze it for significant patterns,
trends, and anomalies. Yet, most of these professionals would hardly consider themselves “business
intelligence users,” much less professional data scientists or data analysts. Tools and practices for data
visualization, data discovery, and visual analysis are enabling these “nontechnical” users to make
effective use of data and reduce their time to insight.
Data visualization sits at the confluence of advances in technology, the study of human cognition
and perception, graphical interfaces, widespread adoption of standards for rich Internet applications,
and the continuing expansion of interest and experience in analytics and data discovery. Data
visualization can contribute significantly to the fruitful interpretation and sharing of insights
from analytics, enabling nontechnical SMEs to perform data discovery in a self-directed fashion.
Implementation of chart engines and the growth in the number and variety of visualizations
available in graphics libraries are supporting new sophistication in visual analysis, allowing users
to go beyond simple bar and pie charts to express more advanced insights about quantitative
information.
This TDWI Best Practices Report focuses on how organizations can use data visualization, visual
analytics, and data discovery to improve decision making, collaboration, and operational execution.
The report provides analysis of an in-depth research survey and user stories to reveal current
strategies and future plans for data visualization and analysis. The report offers recommendations
for successfully evaluating and deploying data visualization, data discovery, and visual analysis
technologies to achieve shorter time to insight for users across the enterprise.
Users need data visualization for a variety of BI and analytics activities, including reporting,
scorecards, operational alerting, and data discovery and analysis. Rather than just giving users “new
toys” to play with, organizations should examine how they can match visualization technologies
and practices to user requirements. Across the board, however, a key element in the success of
visualization is data interaction; users need broad capabilities for manipulating data, including to
drill down, cross cut, slice, and dice data directly from graphical interfaces.
For many organizations, dashboards take the center stage for data visualizations, especially for BI
reporting and performance management. Many users would like to consolidate views of multiple
sources and types of information into their dashboard workspaces. One new source of interest is
geographical information. Although using maps to enhance corporate data (and vice versa) is not yet
widespread, organizations in a growing number of industries are interested in geospatial analysis as
an addition to their visualization repertoire. Mobile device adoption is likely to accelerate interest
in visualizations offering location information and geospatial analysis; frontline employees in sales,
service, and support will use these technologies to enhance customer interactions.
TDWI Research finds that organizations are pursuing a range of potential business benefits with
their current and planned implementations of data visualization and discovery technologies.
Operational efficiency is the top benefit sought, according to our research; organizations seek to
implement data visualization and discovery to reduce the time users lose when they have difficulty
accessing, reporting, and analyzing data. With self-directed capabilities for uncovering root causes as
well as other insights from data, organizations will be able to move away from gut feel and common
wisdom and use data to drive innovation in strategy and operations.
Adaptive Planning, ADVIZOR Solutions, Esri, Pentaho, SAS, and Tableau Software sponsored the
research for this report.
About the Author
David Stodder David Stodder is an independent data and analytics industry analyst. Previously, he was senior director of research for business intelligence at TDWI, where he spent more than 13 years. Stodder focuses on providing research-based insights and best practices for organizations implementing BI, analytics, AI, data intelligence, data integration, and data management. He has been a thought leader in the field for over three decades as an industry analyst, writer, and speaker. He was the founding chief editor of Intelligent Enterprise where he also served as editorial director for nine years. Stodder is a TDWI research fellow.