{"id":18059,"date":"2022-05-20T00:31:00","date_gmt":"2022-05-20T07:31:00","guid":{"rendered":"https:\/\/www.springboard.com\/blog\/?p=18059"},"modified":"2023-09-28T01:00:23","modified_gmt":"2023-09-28T08:00:23","slug":"augmented-analytics","status":"publish","type":"post","link":"https:\/\/www.springboard.com\/blog\/data-science\/augmented-analytics\/","title":{"rendered":"What Is Augmented Analytics? Examples & Best Practices"},"content":{"rendered":"\n

As the Russian invasion of Ukraine enters its third month, one AI company is helping the Ukrainian army intercept unencrypted radio communications between Russian military commanders to help troops better anticipate what they might encounter on the battlefield. <\/p>\n\n\n\n

But unlike traditional communications surveillance, where linguists and analysts listen to each minute of radio chatter hoping to extract actionable information, Primer AI uses augmented analytics\u2014a form of automated, always-on artificial intelligence<\/a> that skims the most relevant information from these exchanges. Its models<\/a> can extract mentions of location, persons, topics of interest, and even military equipment to identify trends and generate summaries of what was said. All communications are translated from Russian to English using natural language processing, a branch of AI that enables machines to understand both text and spoken words. <\/p>\n\n\n\n

Read on to learn more about what augmented analytics is, and how this emerging technology could radically transform the data science process<\/a>. <\/p>\n\n\n\n

What Is Augmented Analytics?<\/h2>\n\n\n\n
\"augmented<\/figure>\n\n\n\n

Augmented analytics is a technology stack that automates data cleaning<\/a> and analytics<\/a>. Analyst firm Gartner, which coined the term in 2017, predicted that augmented analytics \u201cmarks the next wave of disruption<\/a> in the data and analytics market.\u201d <\/p>\n\n\n\n

Augmented analytics is faster than a human analyst, and can infer patterns and correlations that would otherwise take days or even weeks to unearth. <\/p>\n\n\n\n

Unlike traditional data science<\/a> and machine learning<\/a> (DSML) products, augmented analytics platforms provide always-on, real-time analysis, and the ability to search databases using natural language, instead of writing SQL queries. Augmented analytics also automates repetitive tasks like data cleaning and basic pattern recognition. <\/p>\n\n\n\n

How Does Augmented Analytics Work?<\/h2>\n\n\n\n

Augmented analytics is an example of human-machine interaction in the data science field. <\/p>\n\n\n\n

Like the terms \u201cmetaverse\u201d or \u201ccyberspace,\u201d augmented analytics doesn\u2019t refer to a specific technology. Instead, it\u2019s an umbrella term for tools and software that provide automated analytical capabilities\u2014either recommendations, insights, or guidance on a query. <\/p>\n\n\n\n

Augmented analytics is supported by natural language interfaces, including conversational interfaces that support natural language queries and explanations. At the heart of all augmented analytics tools is a search engine that lets users query databases using natural language instead of SQL queries. For example, a product manager could write, \u201cWhat is the top-selling product in X region?\u201d and the platform will return corresponding metrics and data visualizations.<\/p>\n\n\n

Get To Know Other\tData Science Students<\/h4>
\"Bryan<\/a>

Bryan Dickinson<\/p>

Senior Marketing Analyst at REI<\/p><\/div>

<\/div>

Read Story<\/a><\/p><\/div><\/div>

\"Jonathan<\/a>

Jonathan Orr<\/p>

Data Scientist at Carlisle & Company<\/p><\/div>

Read Story<\/a><\/p><\/div><\/div>

\"Abby<\/a>

Abby Morgan<\/p>

Data Scientist at NPD Group<\/p><\/div>

Read Story<\/a><\/p><\/div><\/div><\/div><\/div>\n\n\n\n

Augmented Analytics Examples and Use Cases<\/h2>\n\n\n\n

Here are some real-world examples of how augmented analytics is being used. <\/p>\n\n\n\n