{"id":3457,"date":"2020-02-27T14:23:00","date_gmt":"2020-02-27T06:23:00","guid":{"rendered":"https:\/\/www.nextlink.cloud\/?p=3457"},"modified":"2023-12-06T13:52:52","modified_gmt":"2023-12-06T05:52:52","slug":"what-is-aws-data-analytics-and-why-is-it-important","status":"publish","type":"post","link":"https:\/\/www.nextlink.cloud\/en\/what-is-aws-data-analytics-and-why-is-it-important\/","title":{"rendered":"What Is AWS Data Analytics and Why Is It Important?"},"content":{"rendered":"
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What Is AWS Data Analytics and Why Is It Important?<\/h2>\n\n\n\n

Technology rapidly altered the way business is conducted, and the data revolution continues to impact how every business stays competitive. While it may be more important for large businesses to take advantage of AWS data analytics, the value of data is becoming increasingly apparent to smaller businesses as well.<\/p>\n\n\n\n

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Understanding What Data Analytics Is<\/h3>\n\n\n\n

To improve the performance of any business, it\u2019s crucial to obtain and, more importantly, understand large volumes of data<\/a>. It\u2019s virtually impossible for even larger companies to compile and analyze huge volumes of data that directly or indirectly impact their organizations. Obtaining the resources necessary for those chores would be cost prohibitive. That\u2019s where cloud analytics come into play.<\/p>\n\n\n\n

Just about everyone understands cloud computing provides huge benefits for organizations, and data analytics is certainly one of those benefits. Amazon was a pioneer in providing data services and continues to be, arguably, the most important provider of those services.<\/p>\n\n\n\n

AWS analytic products are now able to extract and better evaluate data from huge collections and put the information to productive use. Those services provide information that\u2019s easily categorized in ways just about any organization can take advantage of.<\/p>\n\n\n\n

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Why Using Data Analytics Services Benefits Companies<\/h3>\n\n\n\n

As already suggested, it\u2019s virtually impossible for an individual company to access, accumulate, and interpret the data needed to function efficiently without some type of outside assistance. AWS data options, including Amazon Athena, Amazon EMR, and Amazon Redshift provide platforms that quickly and efficiently provide access to incredible amounts of reliable data.<\/p>\n\n\n\n

At the same time, Amazon\u2019s products also include specific options to properly deal with Data Lake<\/a> objectives for client companies. If you\u2019re looking for discovery solutions to deal with large volumes of data, check out AWS Glue<\/a>.<\/p>\n\n\n\n

That data is generated by social media, E-commerce sites, CRM, ERP, and digital marketing venues. Organizations attempting to compile data from those (and other) sources would quickly become overwhelmed with the volume of information.<\/p>\n\n\n\n

Another issue companies face is determining the accuracy of the data they collect. That\u2019s not easy, and making mistakes could easily create serious consequences if the data used to make important decisions proves to be inaccurate. Analytic services help to verify the accuracy of information before it\u2019s used.<\/p>\n\n\n\n

While AWS data analytics isn\u2019t free, the cost is far lower than trying to compile the same information independently. That means companies using the services receive a solid return on their investment.<\/p>\n\n\n\n

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Invest Where You Garner the Best Return on Investment<\/h3>\n\n\n\n

Regardless of the type of data being harvested, it\u2019s far more efficient to take advantage of cloud services that have already collected the data than spending scarce capital to collect it without help. Remember that hiring staff members and investing in infrastructure isn\u2019t cheap. Time is also a commodity that should not be wasted.<\/p>\n\n\n\n

If you\u2019re exploring ways to cut staffing expenses and still meet your company objectives, it\u2019s hard to beat the results using cloud-based services provide. It\u2019s also important to understand that there are times when using a combination of online and site-based analytics serves the company\u2019s needs better.<\/p>\n\n\n\n

However, there are also some downsides<\/a> to cloud computing that must be addressed to avoid experiencing issues with the data. Working with a quality provider makes it easier to avoid technical issues, performance problems, and security threats.<\/p>\n\n\n\n

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Data Lakes and How They Boost Growth<\/h3>\n\n\n\n

Not all forms of data can be readily analyzed in helpful ways when using cloud services alone. In some cases, companies may not wish to do so for security reasons. In other instances, unique needs require users to take additional steps designed to provide the net results required. Data lakes are a proven way to do so.<\/p>\n\n\n\n

Companies have the option to store both unstructured and structured data and use it in ways that better meet the company\u2019s objectives. That analysis can be completed internally or using AWS, which means a company can make better use of raw or organized data options to deal with complex research issues.<\/p>\n\n\n\n

If you\u2019re on the fence about using AWS and a data lake to enhance your company\u2019s performance, the data available indicates companies using data lakes and AWS outperform their competitors by nine percent.<\/a> That\u2019s impressive, and there\u2019s no reason your organization can\u2019t achieve similar results, especially with professional guidance.<\/p>\n\n\n\n

At the same time, data lakes using AWS data analytic services can easily be monitored and optimized as needed. The size, governability, and data quality can all be monitored to ensure the information collected is providing value and not simply taking up space either internally or in cloud storage.<\/p>\n\n\n\n

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Focus on Quality<\/h3>\n\n\n\n

Most experts agree that data quality is vitally important<\/a> when conducting any type of analysis. However, it\u2019s also important to understand that perfection is not really possible. That means there are some metrics that may not be complete or suffer some degree of inaccuracy.<\/p>\n\n\n\n

For example, incomplete data creates issues that cause its value to be compromised. The data included must be complete to have genuine value to the company. While minor discrepancies probably won\u2019t create major issues, too many of those apparently innocuous errors could cause unfortunate decisions to be made.<\/p>\n\n\n\n

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The Final Analysis: Will Using AWS Data Analytics Provide Value?<\/h3>\n\n\n\n

Experts routinely recommend taking advantage of AWS data analytics, but not everyone is convinced the benefits are worth the expense<\/a>. If you\u2019re still on the fence, consider a few of the other advantages cloud services, including data analysis, provide.<\/p>\n\n\n\n

Today, not everyone involved in research or analysis is located on the same campus. Using AWS services allows everyone involved in a project to communicate freely and collaborate on researching and evaluating big data.<\/p>\n\n\n\n

Security is also an issue. Cloud services are historically less vulnerable to security problems than site-based data storage and communication systems. If you\u2019ve ever lost data, it\u2019s easy to recognize the value of cloud services that provide the latest security strategies.<\/p>\n\n\n\n

Sticking to a budget is also an issue for companies, and that\u2019s another area where cloud-based services prove to be beneficial. When the costs of keeping and analyzing data on site are compared with cloud services, it\u2019s a lot easier to understand why companies are migrating to the cloud rather than continuing to invest tight capital in on-site equipment and hiring the staff necessary to maintain that equipment.<\/p>\n\n\n\n

If you\u2019re ready to explore how AWS data analytics will benefit your company and why it\u2019s important, take the time to contact a provider like Nextlink<\/a> to discuss how they can boost your productivity while, at the same time, keep costs under control.<\/p>\n","protected":false},"excerpt":{"rendered":"

What Is AWS Data Analytics and Why Is It Important? Technology rapidly altered the way business is conducted, and the data revolution continues to impact how every business stays competitive. While it may be more important for large businesses to take advantage of AWS data analytics, the value of data is becoming increasingly apparent to […]<\/p>\n","protected":false},"author":28,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[690],"tags":[],"class_list":["post-3457","post","type-post","status-publish","format-standard","hentry","category-aws-solution"],"acf":[],"_links":{"self":[{"href":"https:\/\/www.nextlink.cloud\/en\/wp-json\/wp\/v2\/posts\/3457","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.nextlink.cloud\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.nextlink.cloud\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.nextlink.cloud\/en\/wp-json\/wp\/v2\/users\/28"}],"replies":[{"embeddable":true,"href":"https:\/\/www.nextlink.cloud\/en\/wp-json\/wp\/v2\/comments?post=3457"}],"version-history":[{"count":1,"href":"https:\/\/www.nextlink.cloud\/en\/wp-json\/wp\/v2\/posts\/3457\/revisions"}],"predecessor-version":[{"id":66579,"href":"https:\/\/www.nextlink.cloud\/en\/wp-json\/wp\/v2\/posts\/3457\/revisions\/66579"}],"wp:attachment":[{"href":"https:\/\/www.nextlink.cloud\/en\/wp-json\/wp\/v2\/media?parent=3457"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.nextlink.cloud\/en\/wp-json\/wp\/v2\/categories?post=3457"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.nextlink.cloud\/en\/wp-json\/wp\/v2\/tags?post=3457"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}