Visual Analytics
Introduction
The IBM Spatiotemporal Visual Analytics Workbench helps businesses discover important insights by providing a visually interactive process to explore their data.
With enterprises facing so many rapid changes, having a clear picture of the business and understanding how it operates is crucial for success. Our goal is to help domain experts – even those without a strong analytics background – to solve their problems using the visualization and analytics algorithms built into our tool.
- No dashboard or reports that require deep technical expertise
- Easy-to-use graphical interface to analyze the data
- Automated analysis blends knowledge discovery, data mining methods, artificial intelligence, statistics and mathematics
- Facilitates perception and domain knowledge to help users easily generate new hypotheses
What is Visual Analytics?
Visual analytics is the science of extracting insight from large, homogeneous, multi-modal data sources. It combines automatic algorithms and interactive visualization to leverage the human mind's natural ability to visually identify patterns. Although computers excel at analyzing data, there is a large group of problems that are still best solved by humans. Combining the best of both worlds through visual analytics applications is a promising approach.
What, Where, and When
The growing use of GPS is helping collect spatial information for many data stores. Some examples of spatiotemporal data are the movement of humans and objects, meter readings for electricity, events—whether illegal or legal—and more. Unfortunately, much of this data is not used due to lack of tools and methodology. The IBM Spatiotemporal Visual Analytics Workbench enables visual exploration of the data on a map with respect to the time dimension and other available dimensions.
Seeing the Big Picture
The IBM Spatiotemporal Visual Analytics Workbench is already providing insight for events in a major port in Europe, a large European city's public transportation system, and utility meters infrastructure for a major city in the USA.
These insights can be translated into actions that improve utilization, increase safety by avoiding risky situations, and increase efficiency in operations
Consulting Services in Visual Analytics
The Spatiotemporal Visual Analytics team at IBM Research – Haifa provides consulting in this field and develops tools that leverage its best-practices and academic leadership.
To arrange for a demo, meet the team, or ask questions, contact us.
