Listen up. Want to take your Tableau results to the next level? Mastering contextual learning is the missing puzzle piece you need.
𝐖𝐡𝐚𝐭 𝐢𝐬 𝐂𝐨𝐧𝐭𝐞𝐱𝐭𝐮𝐚𝐥 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 𝐚𝐧𝐝 𝐖𝐡𝐲 𝐃𝐨𝐞𝐬 𝐢𝐭 𝐌𝐚𝐭𝐭𝐞𝐫?
Contextual learning is understanding data in a specific, real-world context. It’s about more than just throwing numbers into a graph and calling it a day. It helps you gain insights you might have missed and make informed decisions.
But don’t take our word for it. Gartner predicted that by 2022, 90% of corporate strategies will mention information as a critical enterprise asset and analytics as an essential competency. So, if you want to stay ahead of the game, you need to incorporate contextual learning into your analytics process.
𝐎𝐯𝐞𝐫𝐜𝐨𝐦𝐢𝐧𝐠 𝐓𝐫𝐚𝐝𝐢𝐭𝐢𝐨𝐧𝐚𝐥 𝐀𝐧𝐚𝐥𝐲𝐭𝐢𝐜𝐬 𝐂𝐡𝐚𝐥𝐥𝐞𝐧𝐠𝐞𝐬
Traditional analytics approaches can have their limitations. Without the proper context and understanding, it can be easy to misinterpret data and miss out on key insights. But with contextual learning, you can gain those insights and present them in a meaningful way to stakeholders.
To maximize your contextual learning effectiveness in Tableau, try incorporating techniques like active learning, feedback loops, and real-world problem-solving. Pro tip: Make it iterative. Treat your learning approach like a game, pushing you and your team to constantly seek feedback and solve real problems.
𝐆𝐞𝐭 𝐑𝐞𝐚𝐝𝐲 𝐭𝐨 𝐂𝐫𝐮𝐬𝐡 𝐈𝐭
If your learning program doesn’t incorporate these elements it may be the reason delegates aren’t delighting your users and stakeholders…constantly creating better analytics, communicating findings in a more meaningful way and leading to quicker and more valuable decisions.
Tableau + Contextual Learning is the ultimate combo for taking your analytics game to the next level. Incorporate techniques like active learning and feedback loops into your practice, and get ready to crush it in Tableau.
