{"id":24646,"date":"2023-11-30T14:08:52","date_gmt":"2023-11-30T13:08:52","guid":{"rendered":"https:\/\/stepsuat.com\/?p=24646"},"modified":"2024-01-03T09:57:48","modified_gmt":"2024-01-03T08:57:48","slug":"how-to-transform-data-into-actionable-insights","status":"publish","type":"post","link":"https:\/\/stepsuat.com\/?p=24646","title":{"rendered":"How To Transform Data Into Actionable Insights"},"content":{"rendered":"\n<p class=\"wp-block-paragraph\">Like it or not, data is taking over our world. In this day and age, you either adapt to the usage of data, or you risk being left behind. Data is taking over so much that by 2025, it\u2019s predicted that over 463 exabytes of data will be created daily! To put that into perspective, that\u2019s 463 million terabytes, or 463 billion gigabytes! In order to adapt, you\u2019ll need to know <strong>how to transform that data into actionable insights<\/strong>. Basically, how to use data to your advantage. When you find out that according to<strong> <\/strong><a href=\"https:\/\/mitsloan.mit.edu\/\" target=\"_blank\" rel=\"noreferrer noopener\">MIT Sloan<\/a>,<strong> <\/strong>only <strong>0.5%<\/strong> of data is analysed and utilised effectively, you\u2019ll know how crucial it is to use that data to set you apart from your competitors. This article will help you do just that. From understanding data transformation and its challenges, to understanding how to use it, this article will have you covered. <\/p>\n\n\n\n<h2 class=\"wp-block-heading\">What is Data Transformation?<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Simply put, data transformation is the process of transforming raw data into useful information. You can use this information in many ways. Some of these ways are making decisions, predicting trends, or segmenting your customers. For today\u2019s article, we\u2019ll mainly focus on how to transform this data and use it for better decision-making.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Challenges In Dealing With Raw Data<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Data might be a treasure, but getting to that treasure requires a lot of digging. And what we\u2019d be digging is raw data. Raw data is scary. It\u2019s scary because it\u2019s just unprocessed data that will take time to filter. On top of that, the volume of this data can be daunting. The amount of data that data scientists have to go through can be overwhelming. Other factors that make dealing with raw data challenging are how varied and random the data can be, as well as its velocity, meaning how fast or slow it can be generated.&nbsp;<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Raw data is something every data scientist loves to hate. However, it is understandable considering that they spend approximately 80% of their time cleaning or organising data. However, they do all of this so that they can reach the ultimate treasure. Transformed data.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">How To Transform Data Into Actionable Insights?<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Actionable insights from data are treasure. However, treasures are hard to get into. That\u2019s the same in this case. In order to obtain useful insights from data, you need to go through a number of steps. It can be a long process, however, it is a fruitful one. Let\u2019s have a look at these steps together.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>1). Data Collection<\/strong><\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">Like the name says, data collection is the step where you collect data. You collect this data from multiple sources. These sources include sensors, databases, surveys, IoT devices and many other ways.&nbsp;<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">This step is extremely important. The quality of the data that you collect will make or break the insights that you get from it. Accurate data will build the foundation for meaningful results.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>2). Data Cleaning<\/strong><\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">Data cleaning is the step where you correct errors or inconsistencies in the data. For example, if we\u2019re working with countries for data, Tunisia and tunisia are the same country, but in the data they&#8217;re 2 different countries. That\u2019s an inconsistency that would need to be fixed.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">This step is extremely important in order to prevent any inaccuracies within the data. Inaccuracies would in turn affect your results.&nbsp;<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>3). Data Analysis<\/strong><\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">This is the step where the magic happens! Data analysis is where you look for patterns, trends and other information in order to gain valuable insights. There are a lot of techniques to do this, such as <a href=\"https:\/\/stepsuat.com\/the-benefits-of-data-mining\/\" target=\"_blank\" rel=\"noreferrer noopener\">data mining<\/a>, machine learning, statistical analysis, or exploratory data analysis (EDA).<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Some of these methods such as data mining help you discover hidden patterns and trends. Meanwhile, other methods such as machine learning help you make predictions.&nbsp;<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><a href=\"https:\/\/stepsuat.com\/how-can-data-analysis-make-business-decisions-easy\/\" target=\"_blank\" rel=\"noreferrer noopener\">Data analysis<\/a> is the essence of uncovering actionable insights, helping you make better decisions. But looking at data results can be quite complex, which is why you\u2019ll need to visualise it for better decision-making.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>4). Data Visualisation<\/strong><\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">Data visualisation is the step where you transform complex data results into visual representations. This is so that it can be understood easier. Examples of this are charts, graphs, or dashboards.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">This step is extremely important in order to easily be able to communicate any insights uncovered. Additionally, it allows for anyone to easily understand the insights, even if they\u2019re not experts in the data sector.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Challenges In Data Transformation<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Apart from being complex and time-consuming, there are other challenges to data transformation. You have to be aware of those challenges in order to dive into the data world. We\u2019ll list below some of the challenges you might face.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>Data Security<\/strong><\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">Ensuring that your data is confidential and secure could be a challenge. This is especially the case with the rise of cyber security threats worldwide. Data security is one of the biggest risks associated with data, as security breaches can have severe costs. On average, a data breach costs $3.86 million. This is a scary amount.&nbsp;<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">This is why cyber security is essential. Implementing solid encryption mechanisms, addressing vulnerabilities and complying to security standards such as GDPR are a must.&nbsp;<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>Cost Implications<\/strong><\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">Data breaches are not the only thing that\u2019s costly. Data transformation itself can cost a lot. It can entail multiple costs such as technology investments, skilled personnel, or outsourcing costs.&nbsp;<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>Scalability<\/strong><\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">As data grows, so do its requirements. Scalability then comes into play, especially if current systems struggle to handle the increased processing demands. This is why it\u2019s important to use cloud solutions or to employ scalable architecture.&nbsp;<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>Maintaining Data Quality<\/strong><\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">If the same data is used multiple times, maintaining its quality can be quite complex. Making sure that all data is up-to-date, accurate and consistent is a challenge. The way to deal with this is through regular data checks, establishing processes, and using methods such as data profiling tools.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Conclusion<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">In this article about how to <strong>transform data into actionable insights<\/strong>, we delved into multiple topics. First, we discussed what data transformation is and the challenges in dealing with raw data. Then we discussed how to use that data to get actionable insights. Finally, we discussed any challenges that could relate to data transformation.&nbsp;<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Data is still a booming topic, and it will continue to be a growing industry. There are a lot of emerging trends in data transformation such as AI-driven insights or <a href=\"https:\/\/stepsuat.com\/predictive-analytics-for-better-water-management\/\">predictive analysis<\/a>. For example, the AI and advanced analytics market is expected to reach<strong> $512.04 billion by 2026<\/strong>.&nbsp; Additionally, current trends are still growing exponentially. The machine learning market for instance, is set to reach <strong>$96.7 billion by 2025<\/strong>.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">The world of data is a world that any company would love to dive in. Who wouldn\u2019t want to make easier decisions and be able to predict the future? However, we understand that it\u2019s not that easy. The industry is quite complex and can be costly to dive into. That\u2019s why, at <a href=\"https:\/\/stepsuat.com\/data-science-services-in-tunisia\/\" target=\"_blank\" rel=\"noreferrer noopener\">STEPS<\/a>, we\u2019re here to help you. <a href=\"https:\/\/stepsuat.com\/contact-us\/\" target=\"_blank\" rel=\"noreferrer noopener\">Contact us<\/a> today, and we\u2019ll help you use digital transformation to revolutionise your business!<\/p>\n<!-- AddThis Advanced Settings generic via filter on the_content --><!-- AddThis Share Buttons generic via filter on the_content -->","protected":false},"excerpt":{"rendered":"<p>Like it or not, data is taking over our world. In this day and age, you either adapt to the usage of data, or you risk being left behind. Data is taking over so much that by 2025, it\u2019s predicted&#8230;<!-- AddThis Advanced Settings generic via filter on get_the_excerpt --><!-- AddThis Share Buttons generic via filter on get_the_excerpt --><\/p>\n","protected":false},"author":1,"featured_media":24665,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"content-type":"","inline_featured_image":false,"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"footnotes":""},"categories":[60],"tags":[],"class_list":["post-24646","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-business"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v28.7 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>How To Transform Data Into Actionable Insights | STEPS<\/title>\n<meta name=\"description\" content=\"Data can help you make easier decisions and even predict the future! 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