{"id":3728,"date":"2026-10-26T14:54:48","date_gmt":"2026-10-26T09:24:48","guid":{"rendered":"https:\/\/login360.in\/resources\/?p=3728"},"modified":"2026-10-26T14:54:50","modified_gmt":"2026-10-26T09:24:50","slug":"actionable-business-insights","status":"publish","type":"post","link":"https:\/\/login360.in\/resources\/actionable-business-insights\/","title":{"rendered":"How to Turn Raw Data into Actionable Business Insights"},"content":{"rendered":"\n<div class=\"wp-block-rank-math-toc-block\" id=\"rank-math-toc\"><h2>Table of Contents<\/h2><nav><ul><li><a href=\"#introduction\">Introduction<\/a><\/li><li><a href=\"#1-understand-the-difference-between-raw-data-and-business-insights\">1. Understand the Difference Between Raw Data and Business Insights<\/a><\/li><li><a href=\"#2-start-with-a-clear-business-objective\">2. Start with a Clear Business Objective<\/a><\/li><li><a href=\"#3-collect-data-from-reliable-sources\">3. Collect Data from Reliable Sources<\/a><\/li><li><a href=\"#4-clean-and-organise-your-data\">4. Clean and Organise Your Data<\/a><\/li><li><a href=\"#5-explore-patterns-trends-and-relationships\">5. Explore Patterns, Trends, and Relationships<\/a><\/li><li><a href=\"#6-identify-the-root-cause-of-business-problems\">6. Identify the Root Cause of Business Problems<\/a><\/li><li><a href=\"#7-turn-insights-into-practical-business-actions\">7. Turn Insights into Practical Business Actions<\/a><\/li><li><a href=\"#8-measure-results-using-key-performance-indicators\">8. Measure Results Using Key Performance Indicators<\/a><\/li><li><a href=\"#9-use-ai-and-data-analytics-tools-effectively\">9. Use AI and Data Analytics Tools Effectively<\/a><\/li><li><a href=\"#10-build-a-data-driven-business-culture\">10. Build a Data-Driven Business Culture<\/a><\/li><li><a href=\"#conclusion\">Conclusion<\/a><\/li><\/ul><\/nav><\/div>\n\n\n\n<figure class=\"wp-block-image size-large\"><img fetchpriority=\"high\" decoding=\"async\" width=\"1024\" height=\"576\" src=\"https:\/\/login360.in\/resources\/wp-content\/uploads\/2026\/10\/Turn-Raw-Data-Into-Insights-1024x576.png\" alt=\"\" class=\"wp-image-3729\" srcset=\"https:\/\/login360.in\/resources\/wp-content\/uploads\/2026\/10\/Turn-Raw-Data-Into-Insights-1024x576.png 1024w, https:\/\/login360.in\/resources\/wp-content\/uploads\/2026\/10\/Turn-Raw-Data-Into-Insights-300x169.png 300w, https:\/\/login360.in\/resources\/wp-content\/uploads\/2026\/10\/Turn-Raw-Data-Into-Insights-767x431.png 767w, https:\/\/login360.in\/resources\/wp-content\/uploads\/2026\/10\/Turn-Raw-Data-Into-Insights-1536x864.png 1536w, https:\/\/login360.in\/resources\/wp-content\/uploads\/2026\/10\/Turn-Raw-Data-Into-Insights.png 1672w\" sizes=\"(max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n\n\n\n<h2 id=\"introduction\" class=\"wp-block-heading\">Introduction<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Every day, businesses generate a massive amount of data. From customer purchases and website visits to sales reports and social media engagement, almost every business activity leaves behind valuable information. But collecting data is only the beginning. The real challenge is understanding what that data means and using it to make smarter business decisions.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Imagine running an online store that attracts thousands of visitors every month, but only a few of them complete a purchase. You might think the solution is to spend more money on advertising and attract more visitors. However, after analysing your data, you may discover that customers are leaving because delivery charges are too high or the checkout process is too complicated.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">This is where actionable business insights become valuable. They help businesses understand customer behaviour, identify problems, discover new opportunities, and make decisions based on evidence rather than assumptions.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">In today&#8217;s competitive business environment, knowing how to turn raw data into meaningful insights is an important skill for business owners, marketers, managers, entrepreneurs, and data professionals. In this blog, let&#8217;s explore the process step by step and understand how businesses can use data to achieve better results.<\/p>\n\n\n\n<h2 id=\"1-understand-the-difference-between-raw-data-and-business-insights\" class=\"wp-block-heading\">1. Understand the Difference Between Raw Data and Business Insights<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Before analysing data, it is important to understand that raw data and business insights are not the same thing.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Raw data consists of unprocessed facts and figures collected from different sources. It might include daily sales numbers, customer details, website traffic, product prices, or customer feedback.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">When this data is organised into reports, charts, or tables, it becomes easier to understand. However, the real value appears when we identify what the information tells us about the business.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">For example, a sales report might show that a particular product generates more revenue than other products. That is useful information, but an insight goes further by explaining why the product performs well and what the business can do next.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Perhaps the product attracts repeat customers, receives better reviews, or becomes popular during a particular season. Based on these findings, the business could improve inventory planning, develop targeted marketing campaigns, or introduce related products.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">The goal is to move from simply knowing what happened to understanding why it happened and deciding what to do about it.<\/p>\n\n\n\n<h2 id=\"2-start-with-a-clear-business-objective\" class=\"wp-block-heading\">2. Start with a Clear Business Objective<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">One common mistake businesses make is collecting large amounts of data without having a clear purpose. This often leads to complicated reports that contain plenty of numbers but very few useful conclusions.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Before beginning your analysis, identify the problem you want to solve.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">For example, your business objective might be to increase sales, reduce operating costs, improve customer satisfaction, generate more leads, or reduce customer cancellations.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Once you have identified the goal, turn it into a specific question.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">If your objective is to improve sales, you could ask:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Which products generate the highest revenue?<\/li>\n\n\n\n<li>Why are customers abandoning their shopping carts?<\/li>\n\n\n\n<li>Which marketing channels bring in the most valuable customers?<\/li>\n\n\n\n<li>What factors influence repeat purchases?<\/li>\n\n\n\n<li>Are certain products or regions experiencing declining sales?<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\">These questions help you focus on the information that matters most.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">A clear objective also makes it easier to decide which metrics to measure and which analytical tools to use. Instead of analysing everything, you can concentrate on the data that supports a specific business decision.<\/p>\n\n\n\n<h2 id=\"3-collect-data-from-reliable-sources\" class=\"wp-block-heading\">3. Collect Data from Reliable Sources<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Once you know what you want to achieve, the next step is collecting relevant data. Businesses can obtain useful information from several sources, depending on their industry and objectives.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Sales and transaction records:<\/strong> These reveal revenue, order volumes, product performance, purchasing patterns, and seasonal demand.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Customer relationship management (CRM) systems:<\/strong> CRM platforms help businesses understand customer interactions, sales opportunities, preferences, and retention.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Website analytics:<\/strong> These tools provide information about website visitors, <a href=\"https:\/\/login360.in\/data-science-courses-in-chennai\/\">traffic sources<\/a>, page engagement, and conversion rates.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Social media platforms:<\/strong> Likes, comments, shares, and audience engagement can help businesses evaluate their content and marketing activities.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Customer feedback:<\/strong> Reviews, surveys, and support conversations can reveal customer expectations, complaints, and opportunities for improvement.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Operational systems:<\/strong> Inventory records, delivery reports, and production data help businesses understand efficiency and identify operational problems.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Consider a retail company experiencing declining sales. Looking only at sales reports might not reveal the complete picture. When the company combines sales data with inventory records, customer feedback, and marketing performance, it may discover that popular products are frequently out of stock or that advertising campaigns are attracting the wrong audience.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Combining relevant data sources can provide a more complete understanding of what is happening in the business.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">At the same time, businesses should collect information responsibly, protect customer privacy, and ensure that the data is appropriate for its intended use.<\/p>\n\n\n\n<h2 id=\"4-clean-and-organise-your-data\" class=\"wp-block-heading\">4. Clean and Organise Your Data<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Raw data is not always ready for analysis. It may contain duplicate entries, missing values, incorrect figures, inconsistent dates, or spelling mistakes. If these problems are ignored, they can lead to inaccurate conclusions.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Imagine a business analysing its monthly revenue while some transactions appear twice in its spreadsheet. The report might show higher sales than the business actually generated, leading managers to make poor financial decisions.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Data cleaning helps prevent these problems.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Start by removing duplicate records where appropriate, correcting inconsistent formats, identifying missing information, and checking for unusual values. Make sure dates, currencies, product names, and other important fields follow consistent formats.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Tools such as Microsoft Excel, Google Sheets, SQL, and<a href=\"https:\/\/login360.in\/best-software-training-institute-in-coimbatore-with-placement\/\"> Python<\/a> can make this process easier.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">However, cleaning data does not mean changing every unusual value or replacing every missing entry with zero. Some unusual figures may represent genuine business activity, while missing information may require further investigation.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">The aim is to make the dataset accurate, consistent, and suitable for analysis without losing important information.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Good-quality data builds confidence in the results and gives businesses a stronger foundation for decision-making.<\/p>\n\n\n\n<h2 id=\"5-explore-patterns-trends-and-relationships\" class=\"wp-block-heading\">5. Explore Patterns, Trends, and Relationships<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Once the data is clean, you can begin exploring it to understand what is happening.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Start with basic techniques such as calculating totals, averages, percentages, and growth rates. Compare performance across different months, products, locations, and customer groups.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">For example, a company might compare monthly revenue to identify periods of growth or decline. An online retailer might analyse which products generate the most orders. A marketing team could compare advertising campaigns to see which channels generate the most qualified leads.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Data visualisation makes these patterns easier to recognise. Charts, graphs, and dashboards can turn complex spreadsheets into information that managers can understand quickly.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Tools such as Microsoft Power BI, Tableau, Looker Studio, and Excel help businesses create visual reports and interactive dashboards.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Imagine that a company&#8217;s revenue has fallen by 15% over three months. A detailed analysis might reveal that the decline is concentrated in one product category rather than affecting the entire business.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">This discovery allows the company to investigate the specific products, customers, or market conditions responsible for the decline.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Still, finding a pattern is only the beginning. A trend can show what is happening, but further analysis is often needed to understand why it is happening.<\/p>\n\n\n\n<h2 id=\"6-identify-the-root-cause-of-business-problems\" class=\"wp-block-heading\">6. Identify the Root Cause of Business Problems<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Understanding the reasons behind a business problem is essential for developing effective solutions.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Suppose a company notices an increase in customer complaints. Simply knowing that complaints have increased does not explain what needs to change.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">The company should examine the complaints more closely. Are customers unhappy with product quality, delivery delays, pricing, or customer service?<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">By comparing customer feedback with delivery records, order information, and support response times, the business may discover that most complaints are related to delayed deliveries.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">This finding changes the direction of the solution. Instead of spending money on product redesign, the company can focus on improving delivery operations.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Several techniques can help identify root causes:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Comparative analysis:<\/strong> Compare results across different periods or groups.<\/li>\n\n\n\n<li><strong>Drill-down analysis:<\/strong> Break down overall performance by product, region, or customer segment.<\/li>\n\n\n\n<li><strong>Customer segmentation:<\/strong> Group customers according to relevant behaviours or purchasing patterns.<\/li>\n\n\n\n<li><strong><a href=\"https:\/\/login360.in\/data-science-course-in-kochi\/\">Root cause analysis<\/a>:<\/strong> Investigate the underlying factors contributing to a problem.<\/li>\n\n\n\n<li><strong>Correlation analysis:<\/strong> Explore whether two variables tend to change together.<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\">It is important to remember that correlation does not automatically prove causation. Two variables may be related without one directly causing the other.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Testing assumptions and gathering additional evidence can help businesses avoid incorrect conclusions.<\/p>\n\n\n\n<h2 id=\"7-turn-insights-into-practical-business-actions\" class=\"wp-block-heading\">7. Turn Insights into Practical Business Actions<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">This is where data analysis starts delivering real value. An insight becomes actionable when it helps a business decide what to do next.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">For example, an online store might discover that many customers abandon their shopping carts after seeing the delivery charges. Based on this insight, the business could test free delivery above a minimum order value, display shipping costs earlier, or introduce different delivery options.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Similarly, a company that frequently runs out of popular products could improve inventory planning and adjust its reorder levels based on historical sales patterns.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Every action should have a clear purpose and a measurable outcome.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">A practical action plan should answer four questions:<\/p>\n\n\n\n<ol start=\"1\" class=\"wp-block-list\">\n<li>What did the analysis reveal?<\/li>\n\n\n\n<li>What action should the business take?<\/li>\n\n\n\n<li>Who is responsible for implementing the change?<\/li>\n\n\n\n<li>How will success be measured?<\/li>\n<\/ol>\n\n\n\n<p class=\"wp-block-paragraph\">For example, if website visitors are not completing registrations, a marketing team might simplify the registration form and test the new version against the existing one.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">The team can then compare conversion rates to understand whether the change improves results.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">This approach helps businesses move beyond reporting and use data to make measurable improvements.<\/p>\n\n\n\n<h2 id=\"8-measure-results-using-key-performance-indicators\" class=\"wp-block-heading\">8. Measure Results Using Key Performance Indicators<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">After implementing a decision, businesses need to evaluate whether it worked. Key Performance Indicators (KPIs) help measure progress towards specific goals.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">The right KPIs depend on the objective.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">For sales growth, businesses might track revenue, conversion rate, average order value, and repeat purchase rate.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">For marketing, useful metrics include customer acquisition cost, cost per lead, campaign conversion rate, and return on advertising spend.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">For operations, businesses may monitor inventory turnover, order fulfilment time, delivery accuracy, and operating costs.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">For customer experience, relevant measures include customer satisfaction, retention rate, complaint resolution time, and customer churn.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Consider an online store that simplifies its checkout process. Instead of assuming that the new design is successful, the company can compare the conversion rate before and after the change.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">It should also consider other factors that may influence the result, such as seasonal demand, website traffic sources, or changes in pricing.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Where possible, controlled experiments and A\/B testing can help determine whether a change contributed to improved performance.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Measuring results creates a feedback loop that helps businesses learn from their decisions and improve future strategies.<\/p>\n\n\n\n<h2 id=\"9-use-ai-and-data-analytics-tools-effectively\" class=\"wp-block-heading\">9. Use AI and Data Analytics Tools Effectively<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Technology has made data analysis more accessible than ever before. Businesses no longer need to depend entirely on manual calculations or complicated spreadsheets to understand their performance.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Excel and Google Sheets are useful for basic analysis, while SQL helps retrieve information from databases. Python supports data processing, statistical analysis, and predictive modelling. Business intelligence platforms such as Power BI and Tableau help teams build interactive dashboards.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Artificial intelligence is adding new possibilities to this process.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">AI-powered tools can help summarise reports, identify unusual patterns, analyse customer feedback, forecast demand, and suggest questions worth investigating.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">For example, an online retailer could use historical sales data to estimate future demand and plan inventory more effectively. A customer support team could analyse thousands of feedback comments to identify recurring complaints and emerging customer expectations.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">However, AI should support human judgement rather than replace it. AI-generated findings may be inaccurate, biased, or based on incomplete information.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Businesses should verify important conclusions, review data quality, protect confidential information, and involve knowledgeable people in significant decisions.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">The most effective approach combines suitable technology with human experience and a clear understanding of business goals.<\/p>\n\n\n\n<h2 id=\"10-build-a-data-driven-business-culture\" class=\"wp-block-heading\">10. Build a Data-Driven Business Culture<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Even the most accurate analysis will have little impact if employees and managers do not use it when making decisions.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Building a data-driven culture means encouraging teams to ask questions, examine evidence, measure outcomes, and learn from results.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Businesses can support this culture by providing employees with basic data literacy training, making relevant reports accessible, and establishing clear performance indicators.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Managers should also encourage employees to challenge assumptions respectfully and explain the reasoning behind important decisions.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">For example, a marketing campaign that performed well last year may not deliver the same results today. Customer preferences, competitor strategies, and market conditions may have changed.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Regularly reviewing performance helps businesses identify these changes and adapt before they become major problems.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">A data-driven culture does not mean ignoring experience or creativity. Instead, it combines professional judgement with reliable evidence to make better-informed decisions.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Over time, this approach can improve collaboration, increase accountability, and help businesses respond more effectively to changing market conditions.<\/p>\n\n\n\n<h2 id=\"conclusion\" class=\"wp-block-heading\">Conclusion<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Turning raw data into actionable business insights is about much more than preparing reports or creating attractive dashboards. It involves asking the right questions, collecting reliable information, cleaning and analysing data, identifying patterns, understanding root causes, and translating findings into practical actions.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">The process does not have to begin with expensive software or massive datasets. Even a simple spreadsheet containing sales figures or customer feedback can reveal useful opportunities when analysed with a clear objective.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">The key is to focus on the business problem rather than the amount of data available. Every analysis should help answer an important question, every insight should support a meaningful decision, and every action should have a measurable purpose.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">As businesses become increasingly digital, the ability to understand and use data effectively will remain an important advantage. Organisations that develop this skill can better understand their customers, improve operational efficiency, manage resources, and discover new growth opportunities.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Ultimately, data becomes valuable when businesses use it to understand what is happening, discover why it matters, and decide what to do next.<\/p>\n\n\n\n<h2 id=\"learn-grow-and-build-with-login-360\" class=\"wp-block-heading\">Learn, Grow, and Build with Login 360<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Want to develop your knowledge of data analytics, technology, and modern business practices? <strong><a href=\"https:\/\/login360.in\/\">Login 360<\/a><\/strong> helps learners explore useful concepts and build skills for a changing digital world.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Visit Login 360 to discover more educational content, strengthen your digital knowledge, and take the next step towards your professional goals.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Introduction Every day, businesses generate a massive amount of data. From customer purchases and website visits to sales reports and social media engagement, almost every business activity leaves behind valuable information. But collecting data is only the beginning. The real challenge is understanding what that data means and using it to make smarter business decisions. [&hellip;]<\/p>\n","protected":false},"author":18,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[],"class_list":["post-3728","post","type-post","status-publish","format-standard","hentry","category-uncategorized"],"blocksy_meta":[],"_links":{"self":[{"href":"https:\/\/login360.in\/resources\/wp-json\/wp\/v2\/posts\/3728","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/login360.in\/resources\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/login360.in\/resources\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/login360.in\/resources\/wp-json\/wp\/v2\/users\/18"}],"replies":[{"embeddable":true,"href":"https:\/\/login360.in\/resources\/wp-json\/wp\/v2\/comments?post=3728"}],"version-history":[{"count":1,"href":"https:\/\/login360.in\/resources\/wp-json\/wp\/v2\/posts\/3728\/revisions"}],"predecessor-version":[{"id":3730,"href":"https:\/\/login360.in\/resources\/wp-json\/wp\/v2\/posts\/3728\/revisions\/3730"}],"wp:attachment":[{"href":"https:\/\/login360.in\/resources\/wp-json\/wp\/v2\/media?parent=3728"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/login360.in\/resources\/wp-json\/wp\/v2\/categories?post=3728"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/login360.in\/resources\/wp-json\/wp\/v2\/tags?post=3728"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}