Data visualization tools and solutions

Find the story hidden in your data. Visualization tools allow you to easily identify patterns and relationships you didn’t know were there to make better informed decisions.

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Overview

Trusted, real-time data visualization

You need a way to quickly pivot your company's efforts in response to world and customer-evolving expectations. You also need a way to make these quick business decisions using big data.

But big data has been increasing in volume-becoming even bigger data. As a result, the massive amount of data is slow to sort through, comprehend and especially explain. And, if you can pull outcomes from disparate sources, it isn't easy to interpret their numerical outputs.

With IBM data visualization tools, you can integrate cognitive computing technology-including artificial intelligence and machine learning-making it easy for you to visualize trusted, real-time data. And by visualizing your data, you can accelerate information presentation, share new insights, and encourage data-driven decision-making quickly and confidently.


Benefits

Benefits of data visualization Get accurate big data visualization without IT involvement, without a visualization specialist and the wait. See the big picture

Uncover accurate insights and see patterns within complex data without relying on a data scientist. AI assistant can also surface the patterns in data that have not emerged before.

Present meaningful data

Share insights with others in an easy-to-understand form. For example, AI can assist in dashboard creation or surface a visualization recommendation to tell your story best.

Democratize your data

Provide one source of truth for your entire organization while leveraging security and governance features to help reduce human error when uploading and manually cleaning your data.

Make better decisions

With integrated AI capabilities, understand your next steps and spend less time performing data analysis through augmented decision making.

Use cases

Data visualization use cases

Trend charts Trend charts represent data along a time dimension. Use them to track changes over periods of varying duration and scale. Examples include line charts, area charts, histograms and stream charts.
Comparison charts Charts designed for comparison aim to visualize differences between elements. Examples include bar charts or bar graphs, bubble charts and radar charts.
Part-to-whole charts The goal of part-to-whole charts is to show a value's inner subdivision among different categories or groups. Examples include pie charts, stacked bar charts, stacked area charts and treemaps.
Correlation charts Correlation charts are used for multidimensional data, like the correlation between phone-call duration and customer satisfaction, for instance. Chart examples include scatter plots and heatmaps.
Relationship and connection charts Relationship and connection charts visualize hierarchies, like explaining an element's role within an ecosystem, for instance. Chart examples include alluvial and tree diagrams.
Maps Maps are used for geographical data, like voters by county or average wage by neighborhood, for instance. Examples include choropleth and connecting lines maps.

Case studies

People across the organization reach out to me with problems, and I bring solutions to them through data and visualizations. ”

Next steps

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