{"id":226833,"date":"2022-10-07T14:47:44","date_gmt":"2022-10-07T18:47:44","guid":{"rendered":"https:\/\/www.sightline.com\/?p=226833"},"modified":"2025-04-29T13:14:15","modified_gmt":"2025-04-29T17:14:15","slug":"building-data-analytics-strategy","status":"publish","type":"post","link":"https:\/\/www.sightline.com\/br\/building-data-analytics-strategy\/blogs\/","title":{"rendered":"Cria\u00e7\u00e3o de uma estrat\u00e9gia de an\u00e1lise de dados para melhoria cont\u00ednua"},"content":{"rendered":"\n
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For centuries, people have been harnessing the power of analytics to make better decisions. In fact, the process dates back to Greek philosopher Aristotle\u2019s work on logic.<\/p>\n\n\n\n

In layman\u2019s terms, analytics is the systematic examination of data and statistics used to make educated business decisions. But while people in Aristotle\u2019s time had only paper and pen to work with, modern organizations can leverage the Industrial Internet of Things (IIoT), Industry 4.0, artificial intelligence, and machine learning<\/a> for better analytic applications and even more valuable data.<\/p>\n\n\n

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Despite these advancements, organizations across all industries must continuously be on the lookout for opportunities for improvement, given the lack of context in most data combined with the vast amount and types of data points. A data analytics strategy centered around continuous improvement can boost efficiency, maximize output, and improve the bottom line. Thus, organizations that develop a mature data analytics strategy can experience continuous quality and process surge in performance.<\/p>\n\n\n\n

As we have witnessed over the last few years, companies that focus on utilizing the latest technology to meet supply chain demands outperform companies that don\u2019t. <\/p>\n\n\n\n

In fact, Renwood Mills yielded immediate benefits<\/a> by decreasing down-time in their production lines. In just one year, they saved almost $100,000 on just one line with Sightline EDM data analytics and root cause analysis solution.<\/p>\n\n\n\n

Your company\u2019s goal should be to never stop improving. A data analytics strategy can make that possible.<\/p>\n\n\n\n

The Importance of Data Analytics Strategies for Continuous Improvement<\/strong><\/strong><\/h2>\n\n\n\n

There is vast potential for continuous improvement in today\u2019s standard operations. With its roots in the manufacturing industry, continuous improvement enables businesses to continuously identify opportunities for ensuring efficiency. This not only benefits employees and customers, but also investors and stakeholders. <\/p>\n\n\n\n

When considering the benefits of data analytics in your operational processes, consider all of the moving parts throughout production. From a manufacturing, industrial, and aquaculture lens, there are hundreds\u2014if not thousands\u2014of processes that can be made more efficient. From relieving the pressure throughout the plant from the current labor shortage<\/a> and creating more accurate forecasts to preventing disease spread<\/a> throughout fisheries and monitoring water quality<\/a> to prevent kill off, data analytics is proven to decrease expenses by 47% and improve operational processes by 54%.<\/a><\/p>\n\n\n\n

While all organizations strive for continuous quality improvement, many are not successful at achieving it through manual processes. Continuous improvement is not a one-and-done deal. The process does not have a clear-cut end.<\/p>\n\n\n\n

It\u2019s also one filled with roadblocks, including communication hurdles that hinder collaboration, limited budgets, and a lack of problem-solving capabilities. Digital advancements, including big data management tools and data analytics software, can help organizations foster a culture of continuous improvement in less time.<\/p>\n\n\n\n

The secret to success could be buried in the avalanche of data that your company has already gathered. However, it\u2019s essential that organizations understand how to leverage these hefty amounts of data in the proper way. Developing the right data analytics strategy will help set the wheels in motion.<\/p>\n\n\n\n

How to Gain a Competitive Edge by Leveraging Data Analytics<\/strong><\/strong><\/h2>\n\n\n\n

Many organizations use data analytics to glean deeper insights into distribution, production, or customer activities. However, analytics can be used for much more than that. It can:<\/p>\n\n\n\n