{"id":20823,"date":"2023-05-31T08:40:44","date_gmt":"2023-05-31T06:40:44","guid":{"rendered":"https:\/\/parm.com\/?p=20823"},"modified":"2026-03-02T16:09:49","modified_gmt":"2026-03-02T15:09:49","slug":"types-of-data-analysis-2","status":"publish","type":"post","link":"https:\/\/parm.com\/en\/types-of-data-analysis-2\/","title":{"rendered":"Types of Data Analysis"},"content":{"rendered":"\n<div class=\"et_pb_section_0 et_pb_section et_section_regular et_block_section\"><div class=\"et_pb_row_0 et_pb_row et_block_row\"><div class=\"et_pb_column_0 et_pb_column et_pb_column_4_4 et-last-child et_block_column et_pb_css_mix_blend_mode_passthrough\"><div class=\"et_pb_text_0 et_pb_text et_pb_bg_layout_light et_pb_module et_block_module preset--module--divi-text--default\"><div class=\"et_pb_text_inner\"><h1>Types of Data Analysis<\/h1>\n<p><span style=\"font-size: large;\">How to turn raw data into valuable insights<\/span><\/p>\n<\/div><\/div><\/div><\/div><div class=\"et_pb_row_1 et_pb_row et_block_row\"><div class=\"et_pb_column_1 et_pb_column et_pb_column_4_4 et-last-child et_block_column et_pb_css_mix_blend_mode_passthrough\"><div class=\"et_pb_image_0 et_pb_image et_pb_module et_block_module\"><span class=\"et_pb_image_wrap\"><img decoding=\"async\" src=\"https:\/\/new-site.parm.com\/wp-content\/uploads\/2023\/05\/Post_Data_analysis.jpg\" title=\"Post_Data Analysis Types\" alt=\"Types of Data Analysis\" \/><\/span><\/div><\/div><\/div><div class=\"et_pb_row_2 et_pb_row et_pb_equal_columns et_block_row\"><div class=\"et_pb_column_2 et_pb_column et_pb_column_4_4 et-last-child et_block_column et_pb_css_mix_blend_mode_passthrough\"><div class=\"et_pb_text_1 et_pb_text et_pb_bg_layout_light et_pb_module et_block_module preset--module--divi-text--default\"><div class=\"et_pb_text_inner\"><p>Data is everywhere - from fitness trackers that count our steps to the databases of companies that contain huge amounts of information. But these data are just numbers and letters on a screen. It takes business intelligence tools to bring them to life. From descriptive analyses that examine past events to prescriptive analyses that provide recommendations for future decisions, many types of data analysis can help companies make better decisions.<\/p>\n<\/div><\/div><\/div><\/div><div class=\"et_pb_row_3 et_pb_row et_block_row\"><div class=\"et_pb_column_3 et_pb_column et_pb_column_4_4 et-last-child et_block_column et_pb_css_mix_blend_mode_passthrough\"><div class=\"et_pb_text_2 et_pb_text et_pb_bg_layout_light et_pb_module et_block_module preset--module--divi-text--default\"><div class=\"et_pb_text_inner\"><div id=\"ez-toc-container\" class=\"ez-toc-v2_0_83 counter-hierarchy ez-toc-counter ez-toc-custom ez-toc-container-direction\">\n<div class=\"ez-toc-title-container\">\n<span class=\"ez-toc-title-toggle\"><\/span><\/div>\n<nav><ul class='ez-toc-list ez-toc-list-level-1 ' ><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-1\" href=\"https:\/\/parm.com\/en\/types-of-data-analysis-2\/#What_is_Data_Analysis\" >What is Data Analysis?<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-2\" href=\"https:\/\/parm.com\/en\/types-of-data-analysis-2\/#Descriptive_Analysis\" >Descriptive Analysis<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-3\" href=\"https:\/\/parm.com\/en\/types-of-data-analysis-2\/#Diagnostic_Analysis\" >Diagnostic Analysis<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-4\" href=\"https:\/\/parm.com\/en\/types-of-data-analysis-2\/#Predictive_Analysis\" >Predictive Analysis<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-5\" href=\"https:\/\/parm.com\/en\/types-of-data-analysis-2\/#Prescriptive_Analysis\" >Prescriptive Analysis<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-6\" href=\"https:\/\/parm.com\/en\/types-of-data-analysis-2\/#Inferential_analysis\" >Inferential analysis<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-7\" href=\"https:\/\/parm.com\/en\/types-of-data-analysis-2\/#Mechanistic_analysis\" >Mechanistic analysis<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-8\" href=\"https:\/\/parm.com\/en\/types-of-data-analysis-2\/#Conclusion\" >Conclusion<\/a><\/li><\/ul><\/nav><\/div>\n<h2><span class=\"ez-toc-section\" id=\"What_is_Data_Analysis\"><\/span>What is Data Analysis?<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>Data analysis is an important process for turning raw data into valuable insights and knowledge. It is the process of investigating and interpreting data to derive insights and make decisions. Data analysis is a method of data processing where data is examined for patterns, trends or correlations to gain insights into business processes and performance. Such data analysis can be performed by using various statistical methods and algorithms, which can be used to examine past events and patterns, identify causes of difficulties, or make predictions and recommendations for the future.<\/p>\n<\/div><\/div><div class=\"et_pb_text_3 et_pb_text et_pb_bg_layout_light et_pb_module et_block_module preset--module--divi-text--default\"><div class=\"et_pb_text_inner\"><h2><span class=\"ez-toc-section\" id=\"Descriptive_Analysis\"><\/span>Descriptive Analysis<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>Descriptive analysis is a type of data analysis that aims to describe past events and trends based on historical data. It provides an overview of the main features of the data and identifies patterns, trends, as well as correlations to gain insights into past events.<\/p>\n<p><em>Example: Sales or Employee Data Analysis<\/em><br \/>A company can use its sales data from the past five years to identify trends and patterns to determine which products sold best in certain months or seasons. So, this analysis can help identify seasonal patterns in sales data and understand what factors affect sales, such as promotional activities, price fluctuations, or customer feedback.<\/p>\n<p>Another example of the application of descriptive analysis in a company is the analysis of employee data. A company can use the HR department to monitor employee turnover and identify the reasons for employee attrition. The analysis can also help identify patterns and trends in employee performance, job satisfaction, or workload to improve the work environment as well as conditions for employees.<\/p>\n<\/div><\/div><div class=\"et_pb_text_4 et_pb_text et_pb_bg_layout_light et_pb_module et_block_module preset--module--divi-text--default\"><div class=\"et_pb_text_inner\"><h2><span class=\"ez-toc-section\" id=\"Diagnostic_Analysis\"><\/span>Diagnostic Analysis<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>Diagnostic analysis or causal analysis is a type of data analysis that aims to identify the reasons for past events or problems. It uses data from the past to understand the causes of certain outcomes and thus find solutions for current or future problems.<br \/>Diagnostic analysis can be performed in various ways. One way is to use data analysis tools such as business intelligence software to gather and analyse data from various sources. Another way is to bring together experts and professionals from different areas of the company to interpret and discuss the data together.<\/p>\n<p><em>Example: Analysis of production data or customer feedback<\/em><br \/>An example of applying diagnostic analysis in a company is analysing production data. It can be used to determine why there were production failures or quality issues, for example. By examining the data, the company can identify possible causes for the problems, such as machine breakdowns, deficiencies in the production process, or quality control errors. Based on these findings, the company can then take targeted measures to eliminate the causes of the problems. Furthermore, the company can react more quickly if similar problems should occur again.<\/p>\n<p>Another example of diagnostic analysis in a company is analysing customer feedback. By analysing customer feedback, a company can determine what problems customers face with products or services or what aspects they particularly appreciate. Based on these findings, measures can be taken to fix the problems and increase customer satisfaction.<\/p>\n<\/div><\/div><div class=\"et_pb_text_5 et_pb_text et_pb_bg_layout_light et_pb_module et_block_module preset--module--divi-text--default\"><div class=\"et_pb_text_inner\"><h2><span class=\"ez-toc-section\" id=\"Predictive_Analysis\"><\/span>Predictive Analysis<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>Predictive analysis is a type of data analysis that aims to make predictions about future events as well as to make decisions based on these predictions. It uses historical data and statistical models to calculate probabilities and to identify trends that may indicate future events.<br \/>Predictive analysis includes various methods and techniques such as statistical modelling, machine learning, or data mining. However, it also requires careful <a href=\"https:\/\/new-site.parm.com\/en\/data-quality\/\" target=\"_blank\" rel=\"noopener\" title=\"Data quality\">data cleaning,<\/a> data analysis, and model validation to make accurate predictions.<\/p>\n<p><em>Example: Analysis of sales figures or behaviours<\/em><br \/>An online company selling products can analyse historical data on sales figures and the products that were most frequently purchased to make predictions about which products will be in high demand in the future. Based on these predictions, the company can adjust its inventory and align its marketing strategies accordingly to increase the likelihood of sales success.<\/p>\n<p>Predictive analysis can also help predict future trends and customer or market behaviour. It can be used, for example, to predict risks and opportunities in investment decisions or to identify opportunities for improving business processes.<\/p>\n<\/div><\/div><div class=\"et_pb_text_6 et_pb_text et_pb_bg_layout_light et_pb_module et_block_module preset--module--divi-text--default\"><div class=\"et_pb_text_inner\"><h2><span class=\"ez-toc-section\" id=\"Prescriptive_Analysis\"><\/span>Prescriptive Analysis<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>The prescriptive analysis aims to provide recommendations based on predictions and analyses. It uses historical data, statistical models, and algorithms to make decisions that are intended to achieve a specific goal or outcome. Therefore, prescriptive data analysis can help improve efficiency and profitability as well as achieve long-term competitive advantages.<br \/>Unlike predictive analysis, which only makes predictions about future events, prescriptive analysis goes one step further and provides recommendations for the optimal course of action to achieve a desired outcome.<br \/>To generate accurate recommendations, prescriptive analysis uses various techniques and methods, including algorithms, machine learning, or optimization models. Careful data analysis, modelling, and validation are necessary to make accurate recommendations.<\/p>\n<p><em>Example: Improving marketing campaigns or supply chain management<\/em><br \/>If a company wants to improve its marketing campaigns, prescriptive analysis can be used, for example. By analysing historical data and predicting future events, a company can determine which campaign is most likely to be successful in the future. Prescriptive analysis can then provide a recommendation on how to implement this campaign to achieve the desired outcome.<\/p>\n<p>Similarly, prescriptive analysis can be used to optimize supply chain management processes by analysing historical data to determine which actions are best suited to optimize the delivery process and minimize the risk of delivery delays. Prescriptive analysis can then provide a recommendation on how to implement these actions to achieve the desired outcome.<\/p>\n<\/div><\/div><div class=\"et_pb_text_7 et_pb_text et_pb_bg_layout_light et_pb_module et_block_module preset--module--divi-text--default\"><div class=\"et_pb_text_inner\"><h2><span class=\"ez-toc-section\" id=\"Inferential_analysis\"><\/span>Inferential analysis<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>Inferential analysis is used to draw conclusions and predictions about a larger set of variables based on samples. It is a statistical approach based on probability distributions. Inferential analysis can help identify significant differences or relationships between variables by conducting hypothesis formation, testing, and estimation.<\/p>\n<p><em>Example: Customer surveys or credit applications<\/em><br \/>An example of using inferential analysis in business is the use of customer surveys. If a company wants to measure its customers' satisfaction with a particular product or service but cannot survey all customers, it can select a random sample of customers and send them a survey. Based on the sample responses, the company can then perform an inferential analysis to make predictions about the satisfaction of the entire customer database.<\/p>\n<p>Another example is checking credit applications. To check the creditworthiness of customers, a bank could select a sample of credit applications and conduct an inferential analysis based on the results of checking the creditworthiness of these customers. This can help make predictions about the creditworthiness of all customers.<\/p>\n<\/div><\/div><div class=\"et_pb_text_8 et_pb_text et_pb_bg_layout_light et_pb_module et_block_module preset--module--divi-text--default\"><div class=\"et_pb_text_inner\"><h2><span class=\"ez-toc-section\" id=\"Mechanistic_analysis\"><\/span>Mechanistic analysis<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>Mechanistic data analysis is a method applied in natural and engineering science to investigate complex systems and gain a deep understanding of the underlying physical, biological, or chemical mechanisms that can explain the observed data. The main goals of mechanistic data analysis are precise data control and measurement of variables to make exact predictions about system behaviour.<br \/>A fundamental prerequisite for the application of mechanistic data analysis is a profound understanding of the underlying mechanism that is to be explained by the data. Therefore, mechanistic data analysis is a demanding method that requires specialized knowledge and experience.<\/p>\n<p><em>Example: Chemical reactions or development of new materials<\/em><br \/>An example of using mechanistic data analysis is the study of chemical reactions in chemical processes. Here, data such as concentrations of different substances at different time points can be collected. By applying mechanistic data analysis, one can identify and describe the underlying chemical reaction mechanisms.<br \/>Another example of applying mechanistic data analysis in industry is the development of new materials. If a company wants to develop a new material for use in the automotive industry, for example, it could perform a mechanistic analysis to understand the behaviour of the material under various loads and conditions. The company would first identify a physical mechanism that can explain the behaviour of the material, such as the material's response to stress or temperature. Then, it would conduct targeted experiments to collect data on the material's behaviour in various situations. By conducting a mechanistic data analysis, the company could understand the exact variations in the data and recognize how these variations affect other data. Based on this, it could further optimize the material to improve its performance as well as durability and thus ensure that the material meets the requirements of the automotive industry.<\/p>\n<\/div><\/div><\/div><\/div><div class=\"et_pb_row_4 et_pb_row et_block_row\"><div class=\"et_pb_column_4 et_pb_column et_pb_column_4_4 et-last-child et_block_column et_pb_css_mix_blend_mode_passthrough\"><div class=\"et_pb_text_9 et_pb_text et_pb_bg_layout_light et_pb_module et_block_module preset--module--divi-text--default\"><div class=\"et_pb_text_inner\"><h2><span class=\"ez-toc-section\" id=\"Conclusion\"><\/span>Conclusion<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>Data analysis plays an important role in today's business world. There are various types of data analysis that offer companies the opportunity to use their data in different ways. Insights into past events can be gained, problems solved, predictions made, or recommendations derived.<br \/>The use of business intelligence tools such as myPARM BI<span style=\"font-size: x-small;\"><sup>act<\/sup><\/span> allows companies to perform these analyses in a simple and understandable way to make data-driven decisions. The results of the analyses are visually presented in different ways to make them quick and easy to understand. This helps companies to achieve the best possible use of their data and optimize their business processes. Through integrated control, insights and decisions can be immediately translated into actions. This enables companies to react in real time to fluctuations in the data as well as to increase their success.<\/p>\n<\/div><\/div><\/div><\/div><div class=\"et_pb_row_5 et_pb_row et_block_row\"><div class=\"et_pb_column_5 et_pb_column et_pb_column_1_2 et_block_column et_pb_css_mix_blend_mode_passthrough\"><div class=\"et_pb_text_10 et_pb_text et_pb_bg_layout_light et_pb_module et_block_module preset--module--divi-text--default\"><div class=\"et_pb_text_inner\"><p>Weitere Informationen \u00fcber die Business Intelligence Software myPARM BI<span style=\"font-size: x-small;\"><sup>act<\/sup><\/span>:<\/p>\n<\/div><\/div><div class=\"et_pb_module et_pb_button_module_wrapper et_pb_button_0_wrapper preset--module--divi-button--default_wrapper\"><a class=\"et_pb_button_0 et_pb_button et_pb_bg_layout_light et_pb_module et_block_module preset--module--divi-button--default\" href=\"https:\/\/parm.com\/myparm-bi\/\" target=\"_blank\">Mehr Infos<\/a><\/div><\/div><div class=\"et_pb_column_6 et_pb_column et_pb_column_1_2 et-last-child et_block_column et_pb_css_mix_blend_mode_passthrough\"><div class=\"et_pb_text_11 et_pb_text et_pb_bg_layout_light et_pb_module et_block_module preset--module--divi-text--default\"><div class=\"et_pb_text_inner\"><p>M\u00f6chten Sie\u200b myPARM BI<span style=\"font-size: x-small;\"><sup>act<\/sup><\/span> in einer Demonstration kennenlernen? Dann vereinbaren Sie gleich einen Termin!<\/p>\n<\/div><\/div><div class=\"et_pb_module et_pb_button_module_wrapper et_pb_button_1_wrapper preset--module--divi-button--default_wrapper\"><a class=\"et_pb_button_1 et_pb_button et_pb_bg_layout_light et_pb_module et_block_module preset--module--divi-button--default\" href=\"https:\/\/calendly.com\/parmag\/myparm-biact-webdemo\" target=\"_blank\">Termin vereinbaren<\/a><\/div><\/div><\/div><div class=\"et_pb_row_6 et_pb_row et_block_row\"><div class=\"et_pb_column_7 et_pb_column et_pb_column_4_4 et-last-child et_block_column et_pb_css_mix_blend_mode_passthrough\"><div class=\"et_pb_code_0 et_pb_code et_pb_module\"><div class=\"et_pb_code_inner\"><div class=\"shariff shariff-align-left shariff-widget-align-left\" style=\"display:none\"><ul class=\"shariff-buttons theme-round orientation-horizontal buttonsize-medium\"><li class=\"shariff-button facebook shariff-nocustomcolor\" style=\"background-color:#4273c8\"><a href=\"https:\/\/www.facebook.com\/sharer\/sharer.php?u=https%3A%2F%2Fparm.com%2Fen%2Ftypes-of-data-analysis-2%2F\" title=\"Bei Facebook teilen\" aria-label=\"Bei Facebook teilen\" role=\"button\" rel=\"nofollow\" class=\"shariff-link\" style=\"; background-color:#3b5998; color:#fff\" target=\"_blank\"><span class=\"shariff-icon\" style=\"\"><svg width=\"32px\" height=\"20px\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" viewBox=\"0 0 18 32\"><path fill=\"#3b5998\" d=\"M17.1 0.2v4.7h-2.8q-1.5 0-2.1 0.6t-0.5 1.9v3.4h5.2l-0.7 5.3h-4.5v13.6h-5.5v-13.6h-4.5v-5.3h4.5v-3.9q0-3.3 1.9-5.2t5-1.8q2.6 0 4.1 0.2z\"\/><\/svg><\/span><\/a><\/li><li class=\"shariff-button linkedin shariff-nocustomcolor\" style=\"background-color:#1488bf\"><a href=\"https:\/\/www.linkedin.com\/sharing\/share-offsite\/?url=https%3A%2F%2Fparm.com%2Fen%2Ftypes-of-data-analysis-2%2F\" title=\"Bei LinkedIn teilen\" aria-label=\"Bei LinkedIn teilen\" role=\"button\" rel=\"noopener nofollow\" class=\"shariff-link\" style=\"; background-color:#0077b5; color:#fff\" target=\"_blank\"><span class=\"shariff-icon\" style=\"\"><svg width=\"32px\" height=\"20px\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" viewBox=\"0 0 27 32\"><path fill=\"#0077b5\" d=\"M6.2 11.2v17.7h-5.9v-17.7h5.9zM6.6 5.7q0 1.3-0.9 2.2t-2.4 0.9h0q-1.5 0-2.4-0.9t-0.9-2.2 0.9-2.2 2.4-0.9 2.4 0.9 0.9 2.2zM27.4 18.7v10.1h-5.9v-9.5q0-1.9-0.7-2.9t-2.3-1.1q-1.1 0-1.9 0.6t-1.2 1.5q-0.2 0.5-0.2 1.4v9.9h-5.9q0-7.1 0-11.6t0-5.3l0-0.9h5.9v2.6h0q0.4-0.6 0.7-1t1-0.9 1.6-0.8 2-0.3q3 0 4.9 2t1.9 6z\"\/><\/svg><\/span><\/a><\/li><li class=\"shariff-button xing shariff-nocustomcolor\" style=\"background-color:#29888a\"><a href=\"https:\/\/www.xing.com\/spi\/shares\/new?url=https%3A%2F%2Fparm.com%2Fen%2Ftypes-of-data-analysis-2%2F\" title=\"Bei XING teilen\" aria-label=\"Bei XING teilen\" role=\"button\" rel=\"noopener nofollow\" class=\"shariff-link\" style=\"; background-color:#126567; color:#fff\" target=\"_blank\"><span class=\"shariff-icon\" style=\"\"><svg width=\"32px\" height=\"20px\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" viewBox=\"0 0 25 32\"><path fill=\"#126567\" d=\"M10.7 11.9q-0.2 0.3-4.6 8.2-0.5 0.8-1.2 0.8h-4.3q-0.4 0-0.5-0.3t0-0.6l4.5-8q0 0 0 0l-2.9-5q-0.2-0.4 0-0.7 0.2-0.3 0.5-0.3h4.3q0.7 0 1.2 0.8zM25.1 0.4q0.2 0.3 0 0.7l-9.4 16.7 6 11q0.2 0.4 0 0.6-0.2 0.3-0.6 0.3h-4.3q-0.7 0-1.2-0.8l-6-11.1q0.3-0.6 9.5-16.8 0.4-0.8 1.2-0.8h4.3q0.4 0 0.5 0.3z\"\/><\/svg><\/span><\/a><\/li><li class=\"shariff-button mailto shariff-nocustomcolor\" style=\"background-color:#a8a8a8\"><a href=\"mailto:?body=https%3A%2F%2Fparm.com%2Fen%2Ftypes-of-data-analysis-2%2F&subject=Types%20of%20Data%20Analysis\" title=\"Per E-Mail versenden\" aria-label=\"Per E-Mail versenden\" role=\"button\" rel=\"noopener nofollow\" class=\"shariff-link\" style=\"; background-color:#999; color:#fff\"><span class=\"shariff-icon\" style=\"\"><svg width=\"32px\" height=\"20px\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" viewBox=\"0 0 32 32\"><path fill=\"#999\" d=\"M32 12.7v14.2q0 1.2-0.8 2t-2 0.9h-26.3q-1.2 0-2-0.9t-0.8-2v-14.2q0.8 0.9 1.8 1.6 6.5 4.4 8.9 6.1 1 0.8 1.6 1.2t1.7 0.9 2 0.4h0.1q0.9 0 2-0.4t1.7-0.9 1.6-1.2q3-2.2 8.9-6.1 1-0.7 1.8-1.6zM32 7.4q0 1.4-0.9 2.7t-2.2 2.2q-6.7 4.7-8.4 5.8-0.2 0.1-0.7 0.5t-1 0.7-0.9 0.6-1.1 0.5-0.9 0.2h-0.1q-0.4 0-0.9-0.2t-1.1-0.5-0.9-0.6-1-0.7-0.7-0.5q-1.6-1.1-4.7-3.2t-3.6-2.6q-1.1-0.7-2.1-2t-1-2.5q0-1.4 0.7-2.3t2.1-0.9h26.3q1.2 0 2 0.8t0.9 2z\"\/><\/svg><\/span><\/a><\/li><\/ul><\/div><\/div><\/div><\/div><\/div><\/div><div class=\"et_pb_section_1 et_pb_section et_section_regular et_block_section\"><div class=\"et_pb_row_7 et_pb_row et_block_row\"><div class=\"et_pb_column_8 et_pb_column et_pb_column_4_4 et-last-child et_block_column et_pb_css_mix_blend_mode_passthrough\"><div class=\"et_pb_code_1 et_pb_code et_pb_module\"><div class=\"et_pb_code_inner\"><!-- Begin Sendinblue Form -->\n<!-- START - We recommend to place the below code in head tag of your website html -->\n<style>\n  @font-face {\n    font-display: block;\n    font-family: Roboto;\n    src: url(https:\/\/assets.sendinblue.com\/font\/Roboto\/Latin\/normal\/normal\/7529907e9eaf8ebb5220c5f9850e3811.woff2) format(\"woff2\"), url(https:\/\/assets.sendinblue.com\/font\/Roboto\/Latin\/normal\/normal\/25c678feafdc175a70922a116c9be3e7.woff) format(\"woff\")\n  }\n\n  @font-face {\n    font-display: fallback;\n    font-family: Roboto;\n    font-weight: 600;\n    src: url(https:\/\/assets.sendinblue.com\/font\/Roboto\/Latin\/medium\/normal\/6e9caeeafb1f3491be3e32744bc30440.woff2) format(\"woff2\"), url(https:\/\/assets.sendinblue.com\/font\/Roboto\/Latin\/medium\/normal\/71501f0d8d5aa95960f6475d5487d4c2.woff) format(\"woff\")\n  }\n\n  @font-face {\n    font-display: fallback;\n    font-family: Roboto;\n    font-weight: 700;\n    src: url(https:\/\/assets.sendinblue.com\/font\/Roboto\/Latin\/bold\/normal\/3ef7cf158f310cf752d5ad08cd0e7e60.woff2) format(\"woff2\"), url(https:\/\/assets.sendinblue.com\/font\/Roboto\/Latin\/bold\/normal\/ece3a1d82f18b60bcce0211725c476aa.woff) format(\"woff\")\n  }\n\n  #sib-container input:-ms-input-placeholder {\n    text-align: left;\n    font-family: \"Helvetica\", sans-serif;\n    color: #c0ccda;\n  }\n\n  #sib-container input::placeholder {\n    text-align: left;\n    font-family: \"Helvetica\", sans-serif;\n    color: #c0ccda;\n  }\n\n  #sib-container textarea::placeholder {\n    text-align: left;\n    font-family: \"Helvetica\", sans-serif;\n    color: #c0ccda;\n  }\n<\/style>\n<link rel=\"stylesheet\" href=\"https:\/\/sibforms.com\/forms\/end-form\/build\/sib-styles.css\">\n<!-- END - We recommend to place the above code in head tag of your website html -->\n\n<!-- START - We recommend to place the below code where you want the form in your website html -->\n<div class=\"sib-form\" style=\"text-align: center;\n         background-color: transparent;                                 \">\n  <div id=\"sib-form-container\" class=\"sib-form-container\">\n    <div id=\"error-message\" class=\"sib-form-message-panel\" style=\"font-size:16px; text-align:left; font-family:\" helvetica=\"\" sans-serif=\"\" color:=\"\" background-color:=\"\" border-radius:3px=\"\" border-color:=\"\">\n      <div class=\"sib-form-message-panel__text sib-form-message-panel__text--center\">\n        <svg viewbox=\"0 0 512 512\" class=\"sib-icon sib-notification__icon\">\n          <path d=\"M256 40c118.621 0 216 96.075 216 216 0 119.291-96.61 216-216 216-119.244 0-216-96.562-216-216 0-119.203 96.602-216 216-216m0-32C119.043 8 8 119.083 8 256c0 136.997 111.043 248 248 248s248-111.003 248-248C504 119.083 392.957 8 256 8zm-11.49 120h22.979c6.823 0 12.274 5.682 11.99 12.5l-7 168c-.268 6.428-5.556 11.5-11.99 11.5h-8.979c-6.433 0-11.722-5.073-11.99-11.5l-7-168c-.283-6.818 5.167-12.5 11.99-12.5zM256 340c-15.464 0-28 12.536-28 28s12.536 28 28 28 28-12.536 28-28-12.536-28-28-28z\"\/>\n        <\/svg>\n        <span class=\"sib-form-message-panel__inner-text\">\n Ihre Anmeldung konnte nicht gespeichert werden. Bitte versuchen Sie es erneut.\n                      <\/span>\n      <\/div>\n    <\/div>\n    <div><\/div>\n    <div id=\"success-message\" class=\"sib-form-message-panel\" style=\"font-size:16px; text-align:left; font-family:\" helvetica=\"\" sans-serif=\"\" color:=\"\" background-color:=\"\" border-radius:3px=\"\" border-color:=\"\">\n      <div class=\"sib-form-message-panel__text sib-form-message-panel__text--center\">\n        <svg viewbox=\"0 0 512 512\" class=\"sib-icon sib-notification__icon\">\n          <path d=\"M256 8C119.033 8 8 119.033 8 256s111.033 248 248 248 248-111.033 248-248S392.967 8 256 8zm0 464c-118.664 0-216-96.055-216-216 0-118.663 96.055-216 216-216 118.664 0 216 96.055 216 216 0 118.663-96.055 216-216 216zm141.63-274.961L217.15 376.071c-4.705 4.667-12.303 4.637-16.97-.068l-85.878-86.572c-4.667-4.705-4.637-12.303.068-16.97l8.52-8.451c4.705-4.667 12.303-4.637 16.97.068l68.976 69.533 163.441-162.13c4.705-4.667 12.303-4.637 16.97.068l8.451 8.52c4.668 4.705 4.637 12.303-.068 16.97z\"\/>\n        <\/svg>\n        <span class=\"sib-form-message-panel__inner-text\">\n Ihre Anmeldung war erfolgreich. Bitte sehen Sie in Ihr Postfach und best\u00e4tigen Sie Ihre Anmeldung. Sollte keine Nachricht ankommen, sehen Sie bitte in Ihren Spam-Ordner. Vielen Dank!\n                      <\/span>\n      <\/div>\n    <\/div>\n    <div><\/div>\n    <div id=\"sib-container\" class=\"sib-container--large sib-container--vertical\" style=\"text-align:center; background-color:rgba(27,62,144,1); max-width:1080px; border-radius:3px; border-width:0px; border-color:#C0CCD9; border-style:solid;\">\n      <form id=\"sib-form\" method=\"POST\" action=\"https:\/\/272a17fd.sibforms.com\/serve\/MUIEAOo1vFGWS7d0cvncbnGo6ZIm0MV83UA-ApqLz0GJgUd38j-GsNKlhCPZ1kVJVEGx5yChU7xjEUZEVAhHli4H01njDJsY0TOLof7HNzi7lZJvWMes1-Je1GVxivY9c8XrMzqbTrnQ9SuHnjhsRe5vXL8U5STdopGqk00vm6RWgZiOpVABZMg1kUY8-KjUWzt-Tpk5-zC9XQ2j\" data-type=\"subscription\">\n        <div style=\"padding: 8px 0;\">\n          <div class=\"sib-form-block\" style=\"font-size:32px; text-align:left; font-weight:700; font-family:\" helvetica=\"\" sans-serif=\"\" color:=\"\" background-color:transparent=\"\">\n            <p>Newsletter<\/p>\n          <\/div>\n        <\/div>\n        <div style=\"padding: 8px 0;\">\n          <div class=\"sib-form-block\" style=\"font-size:16px; text-align:left; font-family:\" helvetica=\"\" sans-serif=\"\" color:=\"\" background-color:transparent=\"\">\n            <div class=\"sib-text-form-block\">\n              <p>Melden Sie sich zu unserem monatlichen Newsletter an und werden Sie \u00fcber Produkte der Parm AG, Neuheiten, Trends im Projektmanagement sowie Angebote und Veranstaltungen informiert.<\/p>\n            <\/div>\n          <\/div>\n        <\/div>\n        <div style=\"padding: 8px 0;\">\n          <div class=\"sib-input sib-form-block\">\n            <div class=\"form__entry entry_block\">\n              <div class=\"form__label-row \">\n\n                <div class=\"entry__field\">\n                  <input class=\"input\" type=\"text\" id=\"EMAIL\" name=\"EMAIL\" autocomplete=\"off\" placeholder=\"EMAIL\" data-required=\"true\" required=\"\">\n                <\/div>\n              <\/div>\n\n              <label class=\"entry__error entry__error--primary\" style=\"font-size:16px; text-align:left; font-family:\" helvetica=\"\" sans-serif=\"\" color:=\"\" background-color:=\"\" border-radius:3px=\"\" border-color:=\"\">\n              <\/label>\n            <\/div>\n          <\/div>\n        <\/div>\n        <div style=\"padding: 8px 0;\">\n          <div class=\"sib-optin sib-form-block\" data-required=\"true\">\n            <div class=\"form__entry entry_mcq\">\n              <div class=\"form__label-row \">\n                <div class=\"entry__choice\">\n                  <label>\n                    <input type=\"checkbox\" class=\"input_replaced\" value=\"1\" id=\"OPT_IN\" name=\"OPT_IN\" required=\"\">\n                    <span class=\"checkbox checkbox_tick_positive\"><\/span><span style=\"font-size:14px; text-align:left; font-family:\" helvetica=\"\" sans-serif=\"\" color:=\"\" background-color:transparent=\"\"><p>Ich bin damit einverstanden, dass der Newsletter individuell auf meine Interessen abgestimmt wird. Zu diesem Zweck gestatte ich der Parm AG mein \u00d6ffnungs-, Klick- und Downloadverhalten im Newsetter zu analysieren und ein personenbezogenes Nutzerprofil von mir zu erstellen. Die <a href=\"https:\/\/new-site.parm.com\/datenschutzerklaerung\" target=\"_blank\" rel=\"noopener\">Datenschutzerkl\u00e4rung <\/a>habe ich gelesen und akzeptiere diese. Die Abmeldung vom Newsletter ist jederzeit m\u00f6glich.<\/p><span data-required=\"*\" style=\"display: inline;\" class=\"entry__label entry__label_optin\"><\/span><\/span> <\/label>\n                <\/div>\n              <\/div>\n              <label class=\"entry__error entry__error--primary\" style=\"font-size:16px; text-align:left; font-family:\" helvetica=\"\" sans-serif=\"\" color:=\"\" background-color:=\"\" border-radius:3px=\"\" border-color:=\"\">\n              <\/label>\n            <\/div>\n          <\/div>\n        <\/div>\n        <div style=\"padding: 8px 0;\">\n          <div class=\"g-recaptcha\" data-sitekey=\"6LdyzNAcAAAAANv3WwEWU18I26AH-2q2CcQ6eQUk\" data-callback=\"invisibleCaptchaCallback\" data-size=\"invisible\" onclick=\"executeCaptcha\"><\/div>\n        <\/div>\n        <div style=\"padding: 8px 0;\">\n          <div class=\"sib-form-block\" style=\"text-align: left\">\n            <button class=\"sib-form-block__button sib-form-block__button-with-loader\" style=\"font-size:16px; text-align:left; font-weight:700; font-family:\" helvetica=\"\" sans-serif=\"\" color:=\"\" background-color:=\"\" border-radius:3px=\"\" border-width:0px=\"\" form=\"sib-form\" type=\"submit\">\n              <svg class=\"icon clickable__icon progress-indicator__icon sib-hide-loader-icon\" viewbox=\"0 0 512 512\">\n                <path d=\"M460.116 373.846l-20.823-12.022c-5.541-3.199-7.54-10.159-4.663-15.874 30.137-59.886 28.343-131.652-5.386-189.946-33.641-58.394-94.896-95.833-161.827-99.676C261.028 55.961 256 50.751 256 44.352V20.309c0-6.904 5.808-12.337 12.703-11.982 83.556 4.306 160.163 50.864 202.11 123.677 42.063 72.696 44.079 162.316 6.031 236.832-3.14 6.148-10.75 8.461-16.728 5.01z\"\/>\n              <\/svg>\n ANMELDEN\n            <\/button>\n          <\/div>\n        <\/div>\n\n        <input type=\"text\" name=\"email_address_check\" value=\"\" class=\"input--hidden\">\n        <input type=\"hidden\" name=\"locale\" value=\"de\">\n      <\/form>\n    <\/div>\n  <\/div>\n<\/div>\n<!-- END - We recommend to place the below code where you want the form in your website html -->\n\n<!-- START - We recommend to place the below code in footer or bottom of your website html -->\n<script>\n  window.REQUIRED_CODE_ERROR_MESSAGE = 'W\u00e4hlen Sie bitte einen L\u00e4ndervorwahl aus.';\n  window.LOCALE = 'de';\n  window.EMAIL_INVALID_MESSAGE = window.SMS_INVALID_MESSAGE = \"Die eingegebenen Informationen sind nicht g\u00fcltig. Bitte \u00fcberpr\u00fcfen Sie die Felder und versuchen Sie es erneut.\";\n\n  window.REQUIRED_ERROR_MESSAGE = \"Dieses Feld darf nicht leer sein. \";\n\n  window.GENERIC_INVALID_MESSAGE = \"Die eingegebenen Informationen sind nicht g\u00fcltig. Bitte \u00fcberpr\u00fcfen Sie die Felder und versuchen Sie es erneut.\";\n\n\n\n\n  window.translation = {\n    common: {\n      selectedList: '{quantity} Liste ausgew\u00e4hlt',\n      selectedLists: '{quantity} Listen ausgew\u00e4hlt'\n    }\n  };\n\n  var AUTOHIDE = Boolean(0);\n<\/script>\n<script src=\"https:\/\/sibforms.com\/forms\/end-form\/build\/main.js\"><\/script>\n\n<script src=\"https:\/\/www.google.com\/recaptcha\/api.js?hl=de\"><\/script>\n\n<!-- END - We recommend to place the above code in footer or bottom of your website html -->\n<!-- End Sendinblue Form --><\/div><\/div><\/div><\/div><\/div>\n","protected":false},"excerpt":{"rendered":"<p>Data is everywhere &#8211; from fitness trackers that count our steps to the databases of companies that contain huge amounts of information. But these data are just numbers and letters on a screen. It takes business intelligence tools to bring them to life. From descriptive analyses that examine past events to prescriptive analyses that provide recommendations for future decisions, many types of data analysis can help companies make better decisions. Parm AG explains the most important methods of data analysis.<\/p>\n","protected":false},"author":1,"featured_media":20838,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[29],"tags":[64,855,65],"class_list":["post-20823","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-bi-en","tag-bi-en","tag-big-data-en","tag-business-intelligence-en"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.5 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Types of Data Analysis | Parm AG<\/title>\n<meta name=\"description\" content=\"Different types of data analysis offer you the opportunity to use your data in a variety of ways. We explain the most important methods.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/parm.com\/en\/types-of-data-analysis-2\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Types of Data Analysis\" \/>\n<meta property=\"og:description\" content=\"Data is everywhere - from fitness trackers that count our steps to the databases of companies that contain huge amounts of information. But these data are just numbers and letters on a screen. It takes business intelligence tools to bring them to life. From descriptive analyses that examine past events to prescriptive analyses that provide recommendations for future decisions, many types of data analysis can help companies make better decisions. Parm AG explains the most important methods of data analysis.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/parm.com\/en\/types-of-data-analysis-2\/\" \/>\n<meta property=\"og:site_name\" content=\"Parm AG\" \/>\n<meta property=\"article:publisher\" content=\"https:\/\/www.facebook.com\/myparm\" \/>\n<meta property=\"article:published_time\" content=\"2023-05-31T06:40:44+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2026-03-02T15:09:49+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/parm.com\/wp-content\/uploads\/2023\/05\/Post_Data_analysis.jpg\" \/>\n\t<meta property=\"og:image:width\" content=\"2500\" \/>\n\t<meta property=\"og:image:height\" content=\"1313\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/jpeg\" \/>\n<meta name=\"author\" content=\"Natascha Schleutker\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:title\" content=\"Types of Data Analysis\" \/>\n<meta name=\"twitter:description\" content=\"Data is everywhere - from fitness trackers that count our steps to the databases of companies that contain huge amounts of information. But these data are just numbers and letters on a screen. It takes business intelligence tools to bring them to life. From descriptive analyses that examine past events to prescriptive analyses that provide recommendations for future decisions, many types of data analysis can help companies make better decisions. Parm AG explains the most important methods of data analysis.\" \/>\n<meta name=\"twitter:image\" content=\"https:\/\/parm.com\/wp-content\/uploads\/2023\/05\/Post_Data_analysis.jpg\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"Natascha Schleutker\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"12 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\\\/\\\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\\\/\\\/parm.com\\\/en\\\/types-of-data-analysis-2\\\/#article\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/parm.com\\\/en\\\/types-of-data-analysis-2\\\/\"},\"author\":{\"name\":\"Natascha Schleutker\",\"@id\":\"https:\\\/\\\/parm.com\\\/en\\\/#\\\/schema\\\/person\\\/c24699ce0d4e2f1a102409a36cc80953\"},\"headline\":\"Types of Data Analysis\",\"datePublished\":\"2023-05-31T06:40:44+00:00\",\"dateModified\":\"2026-03-02T15:09:49+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\\\/\\\/parm.com\\\/en\\\/types-of-data-analysis-2\\\/\"},\"wordCount\":4,\"commentCount\":0,\"publisher\":{\"@id\":\"https:\\\/\\\/parm.com\\\/en\\\/#organization\"},\"image\":{\"@id\":\"https:\\\/\\\/parm.com\\\/en\\\/types-of-data-analysis-2\\\/#primaryimage\"},\"thumbnailUrl\":\"https:\\\/\\\/parm.com\\\/wp-content\\\/uploads\\\/2023\\\/05\\\/Post_Data_analysis.jpg\",\"keywords\":[\"BI\",\"Big Data\",\"Business Intelligence\"],\"articleSection\":[\"Business Intelligence\"],\"inLanguage\":\"en-US\",\"potentialAction\":[{\"@type\":\"CommentAction\",\"name\":\"Comment\",\"target\":[\"https:\\\/\\\/parm.com\\\/en\\\/types-of-data-analysis-2\\\/#respond\"]}]},{\"@type\":\"WebPage\",\"@id\":\"https:\\\/\\\/parm.com\\\/en\\\/types-of-data-analysis-2\\\/\",\"url\":\"https:\\\/\\\/parm.com\\\/en\\\/types-of-data-analysis-2\\\/\",\"name\":\"Types of Data Analysis | Parm AG\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/parm.com\\\/en\\\/#website\"},\"primaryImageOfPage\":{\"@id\":\"https:\\\/\\\/parm.com\\\/en\\\/types-of-data-analysis-2\\\/#primaryimage\"},\"image\":{\"@id\":\"https:\\\/\\\/parm.com\\\/en\\\/types-of-data-analysis-2\\\/#primaryimage\"},\"thumbnailUrl\":\"https:\\\/\\\/parm.com\\\/wp-content\\\/uploads\\\/2023\\\/05\\\/Post_Data_analysis.jpg\",\"datePublished\":\"2023-05-31T06:40:44+00:00\",\"dateModified\":\"2026-03-02T15:09:49+00:00\",\"description\":\"Different types of data analysis offer you the opportunity to use your data in a variety of ways. We explain the most important methods.\",\"breadcrumb\":{\"@id\":\"https:\\\/\\\/parm.com\\\/en\\\/types-of-data-analysis-2\\\/#breadcrumb\"},\"inLanguage\":\"en-US\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\\\/\\\/parm.com\\\/en\\\/types-of-data-analysis-2\\\/\"]}]},{\"@type\":\"ImageObject\",\"inLanguage\":\"en-US\",\"@id\":\"https:\\\/\\\/parm.com\\\/en\\\/types-of-data-analysis-2\\\/#primaryimage\",\"url\":\"https:\\\/\\\/parm.com\\\/wp-content\\\/uploads\\\/2023\\\/05\\\/Post_Data_analysis.jpg\",\"contentUrl\":\"https:\\\/\\\/parm.com\\\/wp-content\\\/uploads\\\/2023\\\/05\\\/Post_Data_analysis.jpg\",\"width\":2500,\"height\":1313,\"caption\":\"Types of data analysis\"},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\\\/\\\/parm.com\\\/en\\\/types-of-data-analysis-2\\\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Startseite\",\"item\":\"https:\\\/\\\/parm.com\\\/en\\\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Types of Data Analysis\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\\\/\\\/parm.com\\\/en\\\/#website\",\"url\":\"https:\\\/\\\/parm.com\\\/en\\\/\",\"name\":\"Parm AG\",\"description\":\"Successful projects. Swiss quality. Software f\u00fcr Projektmanagement\",\"publisher\":{\"@id\":\"https:\\\/\\\/parm.com\\\/en\\\/#organization\"},\"alternateName\":\"Parm\",\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\\\/\\\/parm.com\\\/en\\\/?s={search_term_string}\"},\"query-input\":{\"@type\":\"PropertyValueSpecification\",\"valueRequired\":true,\"valueName\":\"search_term_string\"}}],\"inLanguage\":\"en-US\"},{\"@type\":\"Organization\",\"@id\":\"https:\\\/\\\/parm.com\\\/en\\\/#organization\",\"name\":\"Parm AG\",\"alternateName\":\"Parm\",\"url\":\"https:\\\/\\\/parm.com\\\/en\\\/\",\"logo\":{\"@type\":\"ImageObject\",\"inLanguage\":\"en-US\",\"@id\":\"https:\\\/\\\/parm.com\\\/en\\\/#\\\/schema\\\/logo\\\/image\\\/\",\"url\":\"https:\\\/\\\/parm.com\\\/wp-content\\\/uploads\\\/2021\\\/11\\\/Parm_Logo_blue_RGB.png\",\"contentUrl\":\"https:\\\/\\\/parm.com\\\/wp-content\\\/uploads\\\/2021\\\/11\\\/Parm_Logo_blue_RGB.png\",\"width\":908,\"height\":228,\"caption\":\"Parm AG\"},\"image\":{\"@id\":\"https:\\\/\\\/parm.com\\\/en\\\/#\\\/schema\\\/logo\\\/image\\\/\"},\"sameAs\":[\"https:\\\/\\\/www.facebook.com\\\/myparm\",\"https:\\\/\\\/www.linkedin.com\\\/company\\\/parm-ag\",\"https:\\\/\\\/www.xing.com\\\/pages\\\/parmag\"]},{\"@type\":\"Person\",\"@id\":\"https:\\\/\\\/parm.com\\\/en\\\/#\\\/schema\\\/person\\\/c24699ce0d4e2f1a102409a36cc80953\",\"name\":\"Natascha Schleutker\",\"sameAs\":[\"https:\\\/\\\/parm.com\"]}]}<\/script>\n<!-- \/ Yoast SEO plugin. -->","yoast_head_json":{"title":"Types of Data Analysis | Parm AG","description":"Different types of data analysis offer you the opportunity to use your data in a variety of ways. We explain the most important methods.","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/parm.com\/en\/types-of-data-analysis-2\/","og_locale":"en_US","og_type":"article","og_title":"Types of Data Analysis","og_description":"Data is everywhere - from fitness trackers that count our steps to the databases of companies that contain huge amounts of information. But these data are just numbers and letters on a screen. It takes business intelligence tools to bring them to life. From descriptive analyses that examine past events to prescriptive analyses that provide recommendations for future decisions, many types of data analysis can help companies make better decisions. Parm AG explains the most important methods of data analysis.","og_url":"https:\/\/parm.com\/en\/types-of-data-analysis-2\/","og_site_name":"Parm AG","article_publisher":"https:\/\/www.facebook.com\/myparm","article_published_time":"2023-05-31T06:40:44+00:00","article_modified_time":"2026-03-02T15:09:49+00:00","og_image":[{"width":2500,"height":1313,"url":"https:\/\/parm.com\/wp-content\/uploads\/2023\/05\/Post_Data_analysis.jpg","type":"image\/jpeg"}],"author":"Natascha Schleutker","twitter_card":"summary_large_image","twitter_title":"Types of Data Analysis","twitter_description":"Data is everywhere - from fitness trackers that count our steps to the databases of companies that contain huge amounts of information. But these data are just numbers and letters on a screen. It takes business intelligence tools to bring them to life. From descriptive analyses that examine past events to prescriptive analyses that provide recommendations for future decisions, many types of data analysis can help companies make better decisions. Parm AG explains the most important methods of data analysis.","twitter_image":"https:\/\/parm.com\/wp-content\/uploads\/2023\/05\/Post_Data_analysis.jpg","twitter_misc":{"Written by":"Natascha Schleutker","Est. reading time":"12 minutes"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"Article","@id":"https:\/\/parm.com\/en\/types-of-data-analysis-2\/#article","isPartOf":{"@id":"https:\/\/parm.com\/en\/types-of-data-analysis-2\/"},"author":{"name":"Natascha Schleutker","@id":"https:\/\/parm.com\/en\/#\/schema\/person\/c24699ce0d4e2f1a102409a36cc80953"},"headline":"Types of Data Analysis","datePublished":"2023-05-31T06:40:44+00:00","dateModified":"2026-03-02T15:09:49+00:00","mainEntityOfPage":{"@id":"https:\/\/parm.com\/en\/types-of-data-analysis-2\/"},"wordCount":4,"commentCount":0,"publisher":{"@id":"https:\/\/parm.com\/en\/#organization"},"image":{"@id":"https:\/\/parm.com\/en\/types-of-data-analysis-2\/#primaryimage"},"thumbnailUrl":"https:\/\/parm.com\/wp-content\/uploads\/2023\/05\/Post_Data_analysis.jpg","keywords":["BI","Big Data","Business Intelligence"],"articleSection":["Business Intelligence"],"inLanguage":"en-US","potentialAction":[{"@type":"CommentAction","name":"Comment","target":["https:\/\/parm.com\/en\/types-of-data-analysis-2\/#respond"]}]},{"@type":"WebPage","@id":"https:\/\/parm.com\/en\/types-of-data-analysis-2\/","url":"https:\/\/parm.com\/en\/types-of-data-analysis-2\/","name":"Types of Data Analysis | Parm AG","isPartOf":{"@id":"https:\/\/parm.com\/en\/#website"},"primaryImageOfPage":{"@id":"https:\/\/parm.com\/en\/types-of-data-analysis-2\/#primaryimage"},"image":{"@id":"https:\/\/parm.com\/en\/types-of-data-analysis-2\/#primaryimage"},"thumbnailUrl":"https:\/\/parm.com\/wp-content\/uploads\/2023\/05\/Post_Data_analysis.jpg","datePublished":"2023-05-31T06:40:44+00:00","dateModified":"2026-03-02T15:09:49+00:00","description":"Different types of data analysis offer you the opportunity to use your data in a variety of ways. We explain the most important methods.","breadcrumb":{"@id":"https:\/\/parm.com\/en\/types-of-data-analysis-2\/#breadcrumb"},"inLanguage":"en-US","potentialAction":[{"@type":"ReadAction","target":["https:\/\/parm.com\/en\/types-of-data-analysis-2\/"]}]},{"@type":"ImageObject","inLanguage":"en-US","@id":"https:\/\/parm.com\/en\/types-of-data-analysis-2\/#primaryimage","url":"https:\/\/parm.com\/wp-content\/uploads\/2023\/05\/Post_Data_analysis.jpg","contentUrl":"https:\/\/parm.com\/wp-content\/uploads\/2023\/05\/Post_Data_analysis.jpg","width":2500,"height":1313,"caption":"Types of data analysis"},{"@type":"BreadcrumbList","@id":"https:\/\/parm.com\/en\/types-of-data-analysis-2\/#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"Startseite","item":"https:\/\/parm.com\/en\/"},{"@type":"ListItem","position":2,"name":"Types of Data Analysis"}]},{"@type":"WebSite","@id":"https:\/\/parm.com\/en\/#website","url":"https:\/\/parm.com\/en\/","name":"Parm AG","description":"Successful projects. Swiss quality. Software f\u00fcr Projektmanagement","publisher":{"@id":"https:\/\/parm.com\/en\/#organization"},"alternateName":"Parm","potentialAction":[{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https:\/\/parm.com\/en\/?s={search_term_string}"},"query-input":{"@type":"PropertyValueSpecification","valueRequired":true,"valueName":"search_term_string"}}],"inLanguage":"en-US"},{"@type":"Organization","@id":"https:\/\/parm.com\/en\/#organization","name":"Parm AG","alternateName":"Parm","url":"https:\/\/parm.com\/en\/","logo":{"@type":"ImageObject","inLanguage":"en-US","@id":"https:\/\/parm.com\/en\/#\/schema\/logo\/image\/","url":"https:\/\/parm.com\/wp-content\/uploads\/2021\/11\/Parm_Logo_blue_RGB.png","contentUrl":"https:\/\/parm.com\/wp-content\/uploads\/2021\/11\/Parm_Logo_blue_RGB.png","width":908,"height":228,"caption":"Parm AG"},"image":{"@id":"https:\/\/parm.com\/en\/#\/schema\/logo\/image\/"},"sameAs":["https:\/\/www.facebook.com\/myparm","https:\/\/www.linkedin.com\/company\/parm-ag","https:\/\/www.xing.com\/pages\/parmag"]},{"@type":"Person","@id":"https:\/\/parm.com\/en\/#\/schema\/person\/c24699ce0d4e2f1a102409a36cc80953","name":"Natascha Schleutker","sameAs":["https:\/\/parm.com"]}]}},"_links":{"self":[{"href":"https:\/\/parm.com\/en\/wp-json\/wp\/v2\/posts\/20823","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/parm.com\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/parm.com\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/parm.com\/en\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/parm.com\/en\/wp-json\/wp\/v2\/comments?post=20823"}],"version-history":[{"count":3,"href":"https:\/\/parm.com\/en\/wp-json\/wp\/v2\/posts\/20823\/revisions"}],"predecessor-version":[{"id":245239,"href":"https:\/\/parm.com\/en\/wp-json\/wp\/v2\/posts\/20823\/revisions\/245239"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/parm.com\/en\/wp-json\/wp\/v2\/media\/20838"}],"wp:attachment":[{"href":"https:\/\/parm.com\/en\/wp-json\/wp\/v2\/media?parent=20823"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/parm.com\/en\/wp-json\/wp\/v2\/categories?post=20823"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/parm.com\/en\/wp-json\/wp\/v2\/tags?post=20823"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}