{"id":6330,"date":"2020-10-05T06:59:43","date_gmt":"2020-10-05T06:59:43","guid":{"rendered":"https:\/\/www.solutionhow.com\/?p=6330"},"modified":"2022-10-25T15:48:09","modified_gmt":"2022-10-25T15:48:09","slug":"big-data-analytics-what-it-is-and-why-it-matters","status":"publish","type":"post","link":"https:\/\/www.solutionhow.com\/en-us\/management\/big-data-analytics-what-it-is-and-why-it-matters\/","title":{"rendered":"Big Data Analytics: What It Is and Why It Matters"},"content":{"rendered":"
\"Analytics\"

Analytics<\/p><\/div>\n

Over the last couple of decades, big data became a central tool within the business landscape. But what is big data analytics? And why should it matter to many business organizations today? Well, technological advancements have now made it possible for data-governed organizations to effectively analyze their data and obtain relevant insights.<\/span><\/p>\n

A Brief History of Big Data Analytics.<\/h2>\n

The birth of big data has a long history. It all began when business leaders became smarter and realized that there was a need to collate all the wealthy pools of data that was flowing into their organizations and present it in a meaningful form. With analytics tools, they could make the most out of their data. During the 1950s when no one had used the term big data before, some business organizations were using simple analytics tools in the form of spreadsheets to monitor trends and dig out insights.<\/span><\/p>\n

Even though traditional methods of analyzing business data were yielding results, modern big data analytics tools are so much better. The differences can be seen in terms of speed and efficiency. Thanks to the invention of advanced big data analytics, modern businesses can gather information faster, process it faster, and then identify insights for effective decision-making. Being able to operate faster, stay agile, and gain a competitive edge \u2014 is a dream-come-true for data-driven companies.<\/span><\/p>\n

This is why big data matters to organizations.<\/h2>\n

The adoption of big data and analytics<\/span><\/a> is not a choice; it’s a must for companies who have eyes on growth and want to boost their efficiency. Data-centered organizations leverage big data to discover new opportunities, fix loopholes, improve their customers’ satisfaction and of course \u2014 increase their profits. The following points highlight how businesses apply big data analytics and what the value they get is.<\/span><\/p>\n