{"id":23899,"date":"2021-04-17T05:14:45","date_gmt":"2021-04-17T05:14:45","guid":{"rendered":"https:\/\/rbsitsoftwaresolution.com\/blog\/data-scientists-bring-the-narrative-to-the-forefront.html"},"modified":"2021-04-17T05:14:45","modified_gmt":"2021-04-17T05:14:45","slug":"data-scientists-bring-the-narrative-to-the-forefront","status":"publish","type":"post","link":"https:\/\/www.rbsitsoftwaresolution.in\/blog\/data-scientists-bring-the-narrative-to-the-forefront.html","title":{"rendered":"Data scientists: Bring the narrative to the forefront"},"content":{"rendered":"

By 2025, 463<\/span> exabytes of data will be created<\/a> each day, according to some estimates. (For perspective, one exabyte<\/a> of storage could hold 50,000 years of DVD-quality video.) It\u2019s now easier than ever to translate physical and digital actions into data, and businesses of all types have raced to amass as much data as possible in order to gain a competitive edge.<\/p>\n

However, in our collective infatuation with data (and obtaining more of it), what\u2019s often overlooked is the role that storytelling plays in extracting real value from data.<\/p>\n

The reality is that data by itself is insufficient to really influence human behavior. Whether the goal is to improve a business\u2019 bottom line or convince<\/a> people to stay home amid a pandemic, it\u2019s the narrative that compels action, rather than the numbers alone. As more data is collected and analyzed, communication and storytelling will become even more integral in the data science discipline because of their role in separating the signal from the noise.<\/p>\n<\/p>\n

Yet this can be an area where data scientists struggle. In Anaconda\u2019s 2020 State of Data Science survey<\/a> of more than 2,300 data scientists, nearly a quarter of respondents said that their data science or machine learning (ML) teams lacked communication skills. This may be one reason why roughly 40% of respondents said they were able to effectively demonstrate business impact \u201conly sometimes\u201d or \u201calmost never.\u201d<\/p>\n

The best data practitioners must be as skilled in storytelling as they are in coding and deploying models \u2014 and yes, this extends beyond creating visualizations to accompany reports. Here are some recommendations for how data scientists can situate their results within larger contextual narratives.<\/p>\n

Make the abstract more tangible<\/h2>\n

Ever-growing datasets help machine learning models better understand the scope of a problem space, but more data does not necessarily help with human comprehension. Even for the most left-brain of thinkers, it\u2019s not in our nature<\/a> to understand large abstract numbers or things like marginal improvements in accuracy. This is why it\u2019s important to include points of reference in your storytelling that make data tangible.<\/p>\n

For example, throughout the pandemic, we\u2019ve been bombarded with countless statistics around case counts, death rates, positivity rates, and more. While all of this data is important, tools like interactive maps<\/a> and conversations around reproduction numbers<\/a> are more effective than massive data dumps in terms of providing context, conveying risk, and, consequently, helping change behaviors as needed. In working with numbers, data practitioners have a responsibility to provide the necessary structure so that the data can be understood by the intended audience.<\/p>\n

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Article source: http:\/\/feedproxy.google.com\/~r\/techcrunchIt\/~3\/xVoM1aMlpns\/<\/p>","protected":false},"excerpt":{"rendered":"

By 2025, 463 exabytes of data will be created each day, according to some estimates. (For perspective, one exabyte of storage could hold 50,000 years of DVD-quality video.) It\u2019s now <\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"jetpack_post_was_ever_published":false,"_jetpack_newsletter_access":"","_jetpack_dont_email_post_to_subs":false,"_jetpack_newsletter_tier_id":0,"_jetpack_memberships_contains_paywalled_content":false,"_jetpack_memberships_contains_paid_content":false,"footnotes":"","jetpack_publicize_message":"","jetpack_publicize_feature_enabled":true,"jetpack_social_post_already_shared":true,"jetpack_social_options":{"image_generator_settings":{"template":"highway","default_image_id":0,"font":"","enabled":false},"version":2}},"categories":[19],"tags":[25],"class_list":["post-23899","post","type-post","status-publish","format-standard","hentry","category-enterprise-software","tag-enterprise"],"aioseo_notices":[],"aioseo_head":"\n\t\t\n\t\n\t\n\t\n\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t