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How can you choose the best data storytelling platform?

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Data storytelling is the art and science of communicating insights and narratives from data to a specific audience. It is a crucial skill for data scientists, analysts, and business professionals who want to inform, persuade, and inspire action with data. However, not all data storytelling platforms are created equal. How can you choose the best one for your needs and goals? Here are some factors to consider.

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Syed Wasi

Data Scientist @ easypaisa | xAbacus | Google Cloud Certified | Tableau Expert | Statistical Analyst | Fintech |…
Vishal Trivedi

Lead Data Analyst at Accel Limited | SQL, Python | Data Science [Machine Learning, Deep Learning, Computer Vision]…

1 Your audience and purpose

The first step in choosing a data storytelling platform is to define your audience and purpose. Who are you trying to reach and what do you want them to do? Depending on your answer, you may need a different level of interactivity, complexity, and customization in your data stories. For example, if you are presenting to a technical audience, you may want to use a platform that allows you to show code, formulas, and detailed analysis. If you are presenting to a non-technical audience, you may want to use a platform that simplifies the data, highlights the key messages, and uses visuals and narratives.

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Syed Wasi

Data Scientist @ easypaisa | xAbacus | Google Cloud Certified | Tableau Expert | Statistical Analyst | Fintech | Lifelong Learner
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Consider who will be consuming your data stories and the intended outcome. For example, if your audience prefers interactive visualizations, choose a platform that offers dynamic features to engage them effectively.

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Masab Umair

Data Scientist @ i2c inc. | Helping Businesses and Individuals grow with the Power of Data ??| Providing Custom AI Solutions ??
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Tailor your platform selection to the preferences and needs of your audience, ensuring that the platform supports effective communication and engagement. Additionally, assess how well the platform aligns with your storytelling objectives and the narrative you aim to convey. Look for features that facilitate clear visualization, compelling narration, and seamless integration of diverse data sources and formats. Furthermore, evaluate collaboration and sharing capabilities to enable seamless teamwork and dissemination of your data stories. By prioritizing your audience and purpose, you can select a data storytelling platform that enhances the impact and effectiveness of your storytelling efforts.

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2 Your data sources and formats

The next factor to consider is your data sources and formats. What kind of data do you have and how do you access it? Some data storytelling platforms can connect directly to various data sources, such as databases, APIs, or cloud services, and automatically update your data stories. Others may require you to upload or import your data manually or in specific formats, such as CSV, Excel, or JSON. You should also check if the platform can handle the volume, variety, and velocity of your data, and if it can perform any data cleaning, transformation, or analysis functions.

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Syed Wasi

Data Scientist @ easypaisa | xAbacus | Google Cloud Certified | Tableau Expert | Statistical Analyst | Fintech | Lifelong Learner
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Evaluate whether the platform supports the types of data sources and formats you intend to use. For instance, if you plan to integrate data from various sources such as spreadsheets, databases, and APIs, ensure the platform offers seamless integration options.

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Vishal Trivedi

Lead Data Analyst at Accel Limited | SQL, Python | Data Science [Machine Learning, Deep Learning, Computer Vision] [GenAI, LLM] [Power BI, Tableau] [AWS] Alteryx Certified
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1 ???????? ??????????????????????????: Ensure the platform can handle your data sources and formats. This includes common databases (e.g., SQL, Excel), cloud storage services, and big data formats. 2 ???????? ?????????????????????? ??????????: Assess the level of data preparation required. If extensive cleaning or transformation is needed, choose a platform with built-in data manipulation tools.

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3 Your visualization and narration options

Another factor to consider is your visualization and narration options. How do you want to display and explain your data? Some data storytelling platforms offer a wide range of visualization options, such as charts, maps, tables, dashboards, or infographics, and allow you to customize their appearance, layout, and interactivity. Others may have more limited or predefined options, or require you to use external tools or libraries. You should also look for platforms that support narration features, such as annotations, captions, headlines, or voiceovers, to help you tell your data story effectively.

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Syed Wasi

Data Scientist @ easypaisa | xAbacus | Google Cloud Certified | Tableau Expert | Statistical Analyst | Fintech | Lifelong Learner
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Assess the platform's capabilities for creating compelling visualizations and narratives. Look for features like customizable charts, storytelling templates, and multimedia support (e.g., images, videos) to enhance the storytelling experience for your audience.

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4 Your collaboration and sharing capabilities

The final factor to consider is your collaboration and sharing capabilities. How do you want to work with others and share your data stories? Some data storytelling platforms enable you to collaborate with your team members, clients, or stakeholders, by allowing you to comment, edit, or co-create data stories. Others may have more restrictive or solo modes of working. You should also check how easy it is to share your data stories with your intended audience, whether it is through a web link, an embed code, a download option, or a presentation mode.

Choosing the best data storytelling platform can be a challenging task, as there are many options available in the market. However, by considering these four factors, you can narrow down your choices and find the platform that suits your needs and goals the best.

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Syed Wasi

Data Scientist @ easypaisa | xAbacus | Google Cloud Certified | Tableau Expert | Statistical Analyst | Fintech | Lifelong Learner
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Determine how easy it is to collaborate with team members and share your data stories. Choose a platform that allows for real-time collaboration, version control, and sharing options such as embedding in presentations or sharing links.

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5 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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Vishal Trivedi

Lead Data Analyst at Accel Limited | SQL, Python | Data Science [Machine Learning, Deep Learning, Computer Vision] [GenAI, LLM] [Power BI, Tableau] [AWS] Alteryx Certified
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Here are some popular data storytelling platforms to explore: 1 ??????????????: Industry leader, known for its powerful visualization capabilities and ease of use. (Paid) 2 ?????????? ????: Microsoft's offering, well-integrated with other Microsoft products and Excel. (Freemium) 3 ????????????: Platform built for business intelligence, strong data exploration, and dashboarding features. (Enterprise) 4 ????????????????: Focuses on associative data exploration, allowing users to navigate data relationships intuitively. (Paid) 5 ????????????: Open-source platform offering interactive visualizations and web-based data storytelling. (Freemium)

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Syed Wasi

Data Scientist @ easypaisa | xAbacus | Google Cloud Certified | Tableau Expert | Statistical Analyst | Fintech | Lifelong Learner
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Evaluate the platform's scalability, reliability, and cost-effectiveness. Additionally, explore user reviews, testimonials, and case studies to gauge the platform's suitability for your specific needs. Finally, consider the platform's customer support and training resources to ensure smooth adoption and ongoing support.

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How can you choose the best data storytelling platform?

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1 Your audience and purpose

2 Your data sources and formats

3 Your visualization and narration options

4 Your collaboration and sharing capabilities

5 Here’s what else to consider

Data Science

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How can you choose the best data storytelling platform?

1

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3

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1 Your audience and purpose

2 Your data sources and formats

3 Your visualization and narration options

4 Your collaboration and sharing capabilities

5 Here’s what else to consider

Data Science

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