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Build a rapid visualization development framework for faster, better decision-making

Industrial companies increasingly blend data and analytics for a look at the big picture.

Creating A Customer Narrative

Too much data, or too little?
By combining data from multiple sources and enabling analyses from various angles, custom visualizations craft a compelling narrative to help digital businesses find deeper insights.

For example, consider smart grid managers being able to monitor equipment in regional service areas, or mine operators tracking drilling machines from a centralized control room or oil drilling site managers inspecting subsea wells.

In each case, integrating a variety of real-time data sources into a dynamic custom visualization can boost agility to more quickly pinpoint and resolve issues.

Read on as we explain how it works.

Utilities, miners and others are turning to custom visualizations to address specific-use cases, enhance situational awareness and help employees target the most relevant issues.


Limitations of traditional visualization
So why aren’t more industrial companies—and their consumer-facing counterparts in financial services, retail, media and other industries—using custom visualizations? The short answer: time and money.

Currently, it can be difficult to create custom visualizations that cater to the decision-making process. Traditional development is time and cost-intensive—requiring skill sets in development, design and data engineering.

It could take a team several weeks to create just one visualization. And if the result misses the mark, there may be no time or investment left for iteration, limiting the possibilities companies could explore.

Today’s vendor tools for visualization have addressed some of these issues by leveraging configurability for rapid development; however, what they offer in configurability they may lack in customizability.

Formats are proprietary and typically cannot be extended or modified. As a result, digital businesses that rely solely on vendor tools may produce visualizations that do not fully support the decision-making process, require more effort to understand or are not usable for the task at hand.

Through standardization, we can simplify visualization production. To make it easier and more cost-effective to build custom visualizations, Accenture Labs created a rapid visualization development framework.

Our Solution

Simplification through standardization
Accenture Labs’ developer toolkit facilitates and accelerates the production of custom visualizations by abstracting away the complexity of data structures, web applications and organizational sharing.

Standardization helps digital businesses to balance the aspects of custom development and licensing costs, while reducing the time to develop, maintain and revise custom visualizations.

Our proprietary framework is built around a unified workflow with modular processes, guiding developers in choosing which components they need to create the first working prototypes of visualizations that can then be customized.

This “liquid approach” makes it quicker and easier for developers to experiment to reach the final design.

Our framework also consists of developer tools, templates, visualization components and a visualization library—all of which rely on standardization based on data type.

Through our framework, you can harness the creativity and cost-effectiveness of open-source technology to accelerate and optimize the production of custom visualizations.

By reducing the complexity of building visualizations through a unified developer toolkit, the framework decreases the time-to-value, enables a liquid design and development process, and produces a high-quality visualization that is easier to revise and maintain.

Ultimately, a business gains power to make more informed decisions from the right visualizations.