Learn how data visualization simplifies complex data, reveals patterns, and helps facilitate informed business decisions.

Since the dawn of civilization, data of all sorts has been transformed into visual representations—the earliest known map dates back to the 5th or 6th century BCE. Today, as we stand at the forefront of Industry 4.0, the vast amount of data that needs to be gathered, processed, and interpreted can be daunting.

However, when you can “see the data” in an organized fashion, it becomes easier to understand patterns, trends, and outliers. Data visualization translates data into a more comprehensible format. For instance, many people find that converting numerical data into visual charts and graphs helps them process information more effectively. It allows them to spot trends and changes over time and to see relationships between different data sets.

With data visualization tools, analysts and data scientist can improve and automate the visual communication processes essential for the trends we’re seeing in Industry 4.0, including:

• Smart machines and factories (AI)
• Industrial Internet of Things (IIoT)
• Cloud connectivity
• Big data
• Robotics
• Renewable energy

Transforming Abstract Data into Concrete Actions

Data visualization helps people detect relationships and patterns within datasets more efficiently than information presented in in a spreadsheet. Plus, it enables customers to understand complex data and see patterns and trends that may not be immediately apparent in the data itself. The three main goals of data visualization are to:

1. Explore
2. Monitor
3. Explain

Using data visualization, employees and business owners can present data in a more concrete way with easy-to-comprehend visuals, making it accessible to non-technical audiences by removing the abstract nature of trying to explain rows and columns of numbers. By simplifying data comprehension, business owners can make better-informed, data-driven decisions.

Data visualizations help you to gain insight into your data, identify patterns, and improve internal processes. You can use data visualization to:

• ‍Increase your business intelligence (BI): Data visualizations help you understand your operational processes quickly, allowing you to identify areas for improvement and recognize new product opportunities based on customer interest.
• ‍Optimize your marketing and sales campaigns: Data visualizations help you measure campaign success rates so you can allocate resources to the highest ROI campaigns and to campaigns that are not performing as well as they should.
• ‍Streamline operations: Data visualizations allow you to track new sales trends and adjust staffing and inventory needs accordingly.
• ‍Improve the customer experience (CX): Data visualizations help identify patterns and trends in customer data so you can resolve issues and improve customer satisfaction.

Common Data Visualization Tools

Below are a few data visualization tools you can use to work intelligently with your data:

• ‍Pie chart: Shows data as a percentage/proportion for each value in the data set organized as slices. Pie charts help visualize relationships between parts as they relate to the whole.
• ‍Donut chart: A circular graph with a hollow center shows data categorized into rings, allowing for a different perspective on the same data.
• ‍Stacked bar chart: A type of bar chart showing compositions and comparisons of several variables through time and stacked on top of one another. Each bar represents a whole variable while segments represent parts of that whole.
• ‍Marimekko chart (mekko chart or mosaic plot): A Marimekko chart captures multiple dimensions in one chart by combing a stacked bar chart with a stacked column chart.
• ‍Tree map: A visualization composed of nested rectangles, each rectangle representing categories ordered in a hierarchy, or “tree”. Quantities and patterns are compared and displayed in a limited chart space.

Integrating Data Visualization Tools with Data Lakes

One of the best use cases for data visualization is that it makes the complex information easy to understand by reducing it into manageable chunks of data.

Data lakes simplify and make it cost-effective for businesses to aggregate and retain data in its raw source format. Data engineers can integrate BI and data visualization tools with a data lake to enable downstream analytics.

Concord's data scientists utilize data lakes—pools ofunstructured, non-hierarchical, raw data stored in cloud-based storagesystems—to uncover insights that can help businesses improve sales, employeeperformance, and more. By leveraging our AI and ML services, Concord helps:

• Improve product recommendations and personalization.
• Increase upsells and cross-sells.
• Explore various types of data visualization techniques such as charts, graphs, maps, and dashboards.

Concord also partners with Snowflake Cloud Data Platform and Tableau to help customers derive insights from their data.

What Concord’s Data Visualization Services Can Do for You

In this data-driven landscape, Concord’s data visualization services can help you uncover patterns in your datasets to stay competitive and drive smart business decisions.

• BI and Data Visualization: Utilize the right tools to tell your story and guide impactful business decisions.
• Data Science and Analysis: Identify trends and patterns in your data that lead to valuable insights.
• A/B Testing and Experimentation: Take experimentation and testing culture to the next level.

With our five core data visualization capabilities  you can gain actionable insights from your data:

1. ‍Data Experience (DEX): Provides a seamless interface for users to interact with data, ensuring a smooth and enriching experience tailored to your needs and preferences.
2. ‍Data in Motion: Facilitates real-time data streaming and integration, ensuring the flow of information across systems and applications for timely insights and decision-making.
3. ‍Data at Rest: Ensures stores and management of data at rest, employing robust encryption and access controls to safeguard sensitive information against unauthorized access.
4. ‍Data Analytics: Utilizes analytics tools and algorithms to uncover actionable insights from vast volumes of data, empowering organizations to make informed decisions and drive business growth.
5. ‍Data Privacy & Protection: Implements data privacy and protection measures such as anonymization, encryption, and compliance frameworks to uphold regulatory standards and safeguard customer data.

At Concord, our data visualization capabilities help you improve your customer experience, optimize operations, and differentiate your products. We prioritize your business challenges, detect skills gaps, establish a data governance framework, recommend technology, and implement a phased plan with clear roadmaps.