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How can you ensure report accessibility for all audiences?

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Data engineering is the process of designing, building, and maintaining data pipelines that transform raw data into useful and reliable information. Data reporting is one of the key outcomes of data engineering, as it enables data-driven decision making and communication across different stakeholders. However, not all audiences have the same level of data literacy, technical skills, or accessibility needs. How can you ensure report accessibility for all audiences? Here are some tips to consider.

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Amar Chheda

Senior Data Scientist | LinkedIn Top Voice | Making AI Accessible

1 Know your audience

Before you create or share a report, you need to understand who will be using it, what their goals are, and what their preferences and limitations are. For example, some audiences may prefer interactive dashboards, while others may need static PDFs. Some may have visual impairments, while others may have cognitive or language barriers. Some may have fast and reliable internet access, while others may have low bandwidth or offline environments. By knowing your audience, you can tailor your report format, content, and delivery to suit their needs and expectations.

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Amar Chheda

Senior Data Scientist | LinkedIn Top Voice | Making AI Accessible
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In my experience, the best way to know your audience is to schedule an interview with them after you send out a report, this will help to talk through some of the things that were helpful and things that were not so necessary to have in the report. It also helps build rapport and trust between you (the report creator) and the users.

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2 Use clear and consistent design

A good report design should make it easy for the audience to find, understand, and use the information they need. This means using clear and consistent elements such as titles, labels, legends, colors, fonts, and charts. You should also avoid clutter, jargon, and ambiguity, and use simple and direct language. You should also follow the best practices and standards for data visualization, such as choosing the right chart type, scaling the axes, highlighting the key insights, and providing context and explanations.

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Amar Chheda

Senior Data Scientist | LinkedIn Top Voice | Making AI Accessible
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The principles of KISS come in very handy here. Always keep it as simple as possible. Do not create a fancy chart when a bar chart can be used to represent the same information. The information is more important than the aesthetics of the chart.

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3 Provide alternative formats and options

Sometimes, a single report format or option may not be enough to accommodate all the different needs and preferences of your audience. For example, some people may prefer to read a report on a screen, while others may want to print it out. Some people may want to explore the data interactively, while others may want to download it for further analysis. Some people may need audio or text descriptions, while others may need captions or translations. To ensure report accessibility for all audiences, you should provide alternative formats and options whenever possible, such as PDF, CSV, HTML, or JSON files, or features such as zoom, filter, sort, or export.

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MEE SUNTHORN

R at MOFRD Partner Ecosystem | Business Development | Emerging Technology | tiny.ee/View-And-Download-Now | Ready to Make an Impact in the Industry | t.ly/ZK0mO
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Power BI is a great tool for creating reports that are accessible to all audiences. Here are some tips for using Power BI to ensure accessibility: - Use high-contrast colors. - Use clear and concise labels. - Include captions and alternative text for visuals. - Make use of text descriptions and translations. - Use tables and charts that are easy to read. - Use accessible templates and report designs.

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4 Test and validate your report

Before you share your report with your audience, you should test and validate it to make sure it works as intended and meets the accessibility standards and requirements. You can use tools such as validators, checkers, or simulators to test your report for issues such as broken links, errors, compatibility, or performance. You can also use tools such as screen readers, magnifiers, or color contrast analyzers to test your report for accessibility issues such as readability, visibility, or usability. You can also ask for feedback from your audience or from experts to improve your report quality and accessibility.

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5 Automate and monitor your report

Finally, you should automate and monitor your report to ensure its timeliness, accuracy, and availability. You can use tools such as workflows, schedulers, or triggers to automate the data collection, processing, and delivery of your report. You can also use tools such as alerts, logs, or dashboards to monitor the status, performance, and usage of your report. By automating and monitoring your report, you can reduce the manual effort, errors, and delays, and ensure that your audience always has access to the latest and most reliable information.

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6 Here’s what else to consider

This is a space to share examples, stories, or insights that don’t fit into any of the previous sections. What else would you like to add?

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Amar Chheda

Senior Data Scientist | LinkedIn Top Voice | Making AI Accessible
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One thing that I've found helpful in my career is talking to people within the company and aligning yourself with the bigger vision of the company. It helps me identify more sources of data that can help enrich the information within the reports and take it to the next level. Knowing the business goals is always the key.

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How can you ensure report accessibility for all audiences?

1

2

3

4

5

6

1 Know your audience

2 Use clear and consistent design

3 Provide alternative formats and options

4 Test and validate your report

5 Automate and monitor your report

6 Here’s what else to consider

Data Engineering

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How can you ensure report accessibility for all audiences?

1

2

3

4

5

6

1 Know your audience

2 Use clear and consistent design

3 Provide alternative formats and options

4 Test and validate your report

5 Automate and monitor your report

6 Here’s what else to consider

Data Engineering

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