What is the Difference Between Blended Learning & Distance Learning? Without predictive analysis, you would have just thrown money at advertising and hoped for the best. Details. Child Fatalities in New York City: An Assessment of Child Protective Service Practice. This can include historical and real-time data. {{courseNav.course.mDynamicIntFields.lessonCount}} lessons Get the unbiased info you need to find the right school. It can catch fraud before it happens, turn a small-fry enterprise into a titan, and even save lives. Predictive modelling uses statistics to predict outcomes. Smart synonym identifiers: Predictive research questions in a survey use an analytical engine to display standard responses based on the type of the questions and the words used in them. They may be able to help you gain a head start in your study or uproot you from where you’re stuck in your experiment. These interventions often directly improve patient care and operational efficiencies. Improve customer service by planning appropriately. Read Good Research Paper On Predictive Policing and other exceptional papers on every subject and topic college can throw at you. He is an adjunct professor of computer science and computer programming. How clean is it? Trends and patterns will inevitably fluctuate based on the time of year, what activities your business has underway, and other factors. To unlock this lesson you must be a Study.com Member. In the early 2000s, Billy Beane general manager of the Oakland A's, used predictive analysis to drastically improve his team's winning percentage. 's' : ''}}. Create an account to start this course today. Joint-Stock Company: Definition, History & Examples, Project Management Lesson Plan for High School, What is Project Management? This information can be used to make decisions that impact the business’s bottom line and influence results. The model is then applied to current data to predict what will happen next. Predictive Analytics in Action: Manufacturing, How to Maintain and Improve Predictive Models Over Time, Adding Value to Your Application With Predictive Analytics [Guest Post], Solving Common Data Challenges in Predictive Analytics, Predictive Healthcare Analytics: Improving the Revenue Cycle, 4 Considerations for Bringing Predictive Capabilities to Market, Predictive Analytics for Business Applications, business intelligence compare with predictive analytics. Without predictive analytic this task is impossible. The term big data is used often with predictive analysis. If you have a business and are trying out some unique marketing tricks, you might come up with some interesting questions. Follow these guidelines to maintain and enhance predictive analytics over time. Rather than debating whether violence can be predicted, researchers are now debating the best methods for risk assessment. They won't always accurately predict the future, but the decisions will be based on the data, not gut feelings. Predictive analytics also requires a great deal of domain expertise for the end results to be within reasonable accuracy levels and this would involve enterprise employees working alongside AI vendors or consultants. Start studying Research Chapter 8: Descriptive & Predictive Research Design. courses that prepare you to earn While there are some sophisticated examples of predictive analytics being used across a range of local public services, much of the sector is just starting to consider the opportunities, and risks, of this type of technology. The system may identify that ‘Jane’ will most likely not renew her membership and suggest an incentive that is likely to get her to renew based on historical data. Predictive analytics has its challenges but can lead to priceless business outcomes—including catching customers before they churn, optimizing business budget, and meeting customer demand. springer Six hypotheses were stated and tested in two prediction studies (N=101 eighth-graders), and one experiment (N=8 pupils of same age). If you've had a Google search finish your thoughts, you've seen predictive analysis in action. Cleveland Clinic, feeling the pressures of fixed … One might be: Which cities do the highest spenders come from? Increasingly often, the idea of predictive analytics (also known as advanced analytics) has been tied to business intelligence. Start studying Research Chapter 8: Descriptive & Predictive Research Design. Companies use these statistics to forecast what might happen in the future. In practice, predictive analytics can take a number of different forms. Predictive analysis helps identify potential future opportunities and risks in business. While still in the hospital, patients face a number of potential … Martin has 16 years experience in Human Resources Information Systems, has a PhD in Information Technology Management, and a degree in Information Systems Management. 7.1.1 Using Functional Programming From this point forward, we will deal with the new dataset cryptodata_nested , review the previous section where it was created if you missed it. We can custom-write anything as well! Example sentences with "predictive research", translation memory. It can catch fraud before it happens, turn a small-fry enterprise into a titan, and even save lives. These three examples show how predictive analytics helps hospitals leverage their past data to learn what is likely to happen in the future, identify actionable insights, and intervene to reduce costs. A typical collaboration for an AI predictive analytics project might last around 2-3 months. credit-by-exam regardless of age or education level. KFTT. 10+ Prediction Research Templates and Examples. Study.com has thousands of articles about every Predictive validity focuses on how well an assessment tool can predict the outcome of some other separate, but related, measure. 10+ Experimental Research Examples. In this example, predictive analytics can be used in real time to remedy customer churn before it takes place. Enrolling in a course lets you earn progress by passing quizzes and exams. Predictive Index Tests (PI tests) have of late gained popularity among employers as the tests of choice for assessing both the cognitive ability as well as the behavioral fit of the prospective candidate. In the past few years, predictive analytics has gone from an exotic technique practiced in just a few niches, to a competitive weapon with a rapidly expanding range of uses. Giga-fren. For example, predictive models are often used to detect crimes and identify suspects, after the crime has taken place. Go over the following examples of experimental research papers. The model is used to generate predictions of sensory input that are compared to actual sensory input. Quiz & Worksheet - What is Predictive Analysis, Over 83,000 lessons in all major subjects, {{courseNav.course.mDynamicIntFields.lessonCount}}, The Business Cycle: Economic Performance Over Time, The Accounting Cycle: Definition, Steps & Examples, Factors of Production in Economics: Definition, Importance & Examples, Producers & Production Activities for High School Microeconomics, Production Possibilities Curve Lesson Plan, Production Possibilities Curve: Definition & Examples, What is the Product Life Cycle? By establishing the right controls and algorithms, you can train your system to look at how many people that clicked on a certain link bought a particular product and correlate that data into predictions about future customer actions. study Prior to working at Logi, Sriram was a practicing data scientist, implementing and advising companies in healthcare and financial services for their use of Predictive Analytics. Correlational research examples are numerous and highlight several instances where a correlational study may be carried out in order to determine the statistical behavioral trend with regards to the variables under consideration. 3 Examples of Predictive Analytics in HR. Let's say that Honda does some marketing research on a new sports car. Predictive analytics is transforming all kinds of industries. Consider a yoga studio that has implemented a predictive analytics model. The 102-employee company provides predictive analytics services such as churn prevention, demand fo… Use the insights and predictions to act on these decisions. Alerting and monitoring. Research all aspects of a comprehensive predictive maintenance strategy. In the example above we used the cryptodata object which contained all the non-nested data, and was a big oversimplification of the process we will actually use. Read Good Research Paper On Predictive Policing and other exceptional papers on every subject and topic college can throw at you. Predictive analytics provides estimates about the likelihood of a future outcome. For example, if you get new customer data every Tuesday, you can automatically set the system to upload that data when it comes in. With Predictive Analytics, it is possible to comprehensively consider and assess all customer data and arrive at a much more accurate conclusion. This article goes over some pros and cons of using predictive analysis. When building your predictive analytics model, you’ll have to start by training the system to learn from data. Getting ahead of patient deterioration. What are some of the important business decisions you’ll make with the insight? Care transitions after knee and hip replacement. Efficiency in the revenue cycle is a critical component for healthcare providers. Take these scenarios for example. ', 'Age', 'How old are you? 5 Industry Examples. First, identify what you want to know based on past data. and what can be improved in the future research. There are few facts about the role of obedience when committing acts against one’s personal conscience (1961). Predictive analytics is the #1 feature on product roadmaps. When you make a purchase, it puts up a list of other similar items that other buyers purchased. Once data scientists gather this sample data, they must select the right model. Predictive research is designed to anticipate the likely occurrence of an event. Based on your past search history, Google could guess your interest lay more in engines and provide the text. Experimental Data Quality Research Example. 10+ Predictive Validity Examples and Templates. You’ll need leadership champions to enable activities to make change a reality. Well, don’t be so sad, on this page you will get all important answers on all your questions. Families in Society, 88(4), 583-594. The term predictive research design is not typically used, however, prediction is a goal of the scientific method. Predictive analytics also shows real promise in population health management. Predictive validity focuses on how well an assessment tool can predict the outcome of some other separate, but related, measure. This is not stuff you can write an MS Access query against! This research usually involves some form of human behavior decision or condition. When Should College Seniors Start Their Job Search? Having a huge stockpile of data does no good unless you ask the right questions. How does business intelligence compare with predictive analytics? Learn vocabulary, terms, and more with flashcards, games, and other study tools. View Predictive Analytics Research Papers on Academia.edu for free. Astronomy has thrown up some great examples of prediction in science, largely built upon the laws of motion proposed by Newton. If you are just not reaching certain areas, do you put more effort into those areas? When Should College Seniors Start Looking for a Job? first two years of college and save thousands off your degree. Research Topic Example #1: Are people more likely to buy a product after a celebrity promotes it? A very powerful example is actually one that is over a decade old, long before we'd coined our fancy terms. There are different examples of descriptive research, that may be highlighted from its types, uses, and applications. For example bringing together a flight, extra baggage, a hotel, while also slightly adapting the price dynamically and … A king hired a data scientist to find animals in the forest for hunting. Predictive coding is becoming a popular theory in neuroscience (see for example Clark 2013). Predictive analytics models that use internal and external data sources such as marketing automation data, historical sales data, prospect details, individual sales person’s win rates, etc. What will happen? Send marketing campaigns to customers who are most likely to buy. Business system data at a company might include transaction data, sales results, customer complaints, and marketing information. Most often the event one wants to predict is in the future, but predictive modelling can be applied to any type of unknown event, regardless of when it occurred. If your business only has a $5,000 budget for an upsell marketing campaign and you have three million customers, you obviously can’t extend a 10 percent discount to each customer. There are many examples of it being used today: In fact, the Oakland A's used it (long before it was cool) in the early 2000s to improve team performance. Sriram Parthasarathy is the Senior Director of Predictive Analytics at Logi Analytics. Predictive coding (also known as predictive processing) is a theory of brain function in which the brain is constantly generating and updating a mental model of the environment. If a relationship has been. A 2019 study by the AI Now Institute, for example, describes how some police departments rely on “dirty data” — or data that is “derived from or influenced by corrupt, biased, and unlawful practices,” including both discriminatory policing and manipulation of crime statistics — to inform their predictive policing systems. Set a timeline—maybe once a month or once a quarter—to regularly retrain your predictive analytics learning module to update the information. Train the system to learn from your data and can predict outcomes. Any successful predictive analytics project will involve these steps. Documenting and reporting the predictive validity of a test is hard. Once you know what predictive analytics solution you want to build, it’s all about the data. {{courseNav.course.topics.length}} chapters | What is predictive analytics? Another key component is to regularly retrain the learning module. When you start typing a search term into Google, the search engine is using predictive analysis to figure out what it is you are searching for. Not sure what college you want to attend yet? DISCLAIMER: This article is not written by Stanley Milgram, but is intended as an example of a psychology research paper that someone might have written after conducting the first Milgram … PDF; Size: 465 KB. Prior to that, Sriram was with MicroStrategy for over a decade, where he led and launched several product modules/offerings to the market. One of the finest examples of this arises from the discovery of the planet Neptune, which stands as a testament to the skill of the astronomers but also to the work of Newton. By embedding predictive analytics in their applications, manufacturing managers can monitor the condition and performance of equipment and predict failures before they happen. Examples of how Predictive Analytics are being used in online learning. Learn vocabulary, terms, and more with flashcards, games, and other study tools. 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Get access risk-free for 30 days, You may have heard of the term data mining to describe such analysis. Send marketing campaigns to customers who are most likely to buy. Prediction research. Other applications include business/marketing, sports, and medicine. Examples of Research Articles An example of an article reporting on original research done (citation + abstract) Freundlich, M., & Bocknek, E. (2007). Comparing Predictive Analytics and Descriptive Analytics with an example. This comparison results in prediction errors that are then used to update and revise the mental model. So, let’s go! For example Amadeus … This historical data is fed into a mathematical model that considers key trends and patterns in the data. Cancel. Working Scholars® Bringing Tuition-Free College to the Community. Logi Analytics Confidential & Proprietary | Copyright 2021 Logi Analytics | Legal | Privacy Policy | Site Map. The model is then applied to current data to predict what will happen next. You need to make sure all the details and statistics are all part of your research outline. Predictive analysis is the attempt to predict what could happen. For example, correlational research may reveal the statistical relationship between high-income earners and relocation; that is, the more people earn, the more likely they are to relocate or not. Predictive Program Synthesis Established: July 7, 2017 ... programming-by-example or natural language programming approaches allow the user to express intent by giving examples or natural language descriptions of the task, from which the system can synthesize a program in a formal programming language to complete the task. An example of predictive rather than responsive safety research for. Some of the data is structured; other data isn't. To learn more, visit our Earning Credit Page. Visit the Teaching Economics Lesson Plans page to learn more. Using the information from predictive analytics can help companies—and business applications—suggest actions that can affect positive operational changes. Predictive analytics is often discussed in the context of big data, Engineering data, for example, comes from sensors, instruments, and connected systems out in the world. Businesses can better predict demand using advanced analytics and business intelligence. In a nutshell, the general idea is that brains encode predictions of their sensory inputs. All rights reserved. Here are 3 case examples of correlational research. Done right, predictive analytics requires people who understand there is a business problem to be solved, data that needs to be prepped for analysis, models that need to be built and refined, and leadership to put the predictions into action for positive outcomes. Definition and models – ngdata. For a business, it includes vast swathes of information on customers, other business; it can include geographical and other information. Predictive analysis is about predicting the future: data mining information from data sets and analyzing it in order to find patterns and predict future events or trends. We offer wide variety of services, Product customizations to our customers across the globe, in this arena. Here are a few innovative ways that organizations have successfully deployed predictive analytics in HR: 1. Analysts can use predictive analytics to foresee if a change will help them reduce risks, improve operations, and/or increase revenue. These types of questions use past information to predict reactions to hypothetical events. Understand assets and current operational level; lead with a robust understanding of machines. Not by chance, the global predictive analytics market is forecast to move $ 10.95 billion by 2022, according to a report published in 2018 by Zion Market Research . Select a subject to preview related courses: Predictive analysis is not a one-time adventure. Not by chance, the global predictive analytics market is forecast to move $ 10.95 billion by 2022, according to a report published in 2018 by Zion Market Research . - Definition & Examples, Matrix Organizational Structure Lesson Plan, Comparative Advantage, Specialization & Exchange Activities for High School, Business Organizations & Decision Making Activities for High School Economics, Biological and Biomedical How you bring your predictive analytics to market can have a big impact—positive or negative—on the value it provides to you. It is a forecasting tool. Increasingly, businesses make data-driven decisions based on this valuable trove of information. We can custom-write anything as well! Predictive analytics refers to using historical data, machine learning, and artificial intelligence to predict what will happen in the future. predictive research Example sentences with "predictive research", translation memory Prediction research activities range from numerical weather and chemical prediction to water cycle prediction. In this example diagnostic and therapeutic research are combined. 2. Your predictive analytics model should eventually be able to identify patterns and/or trends about your customers and their behaviors. But just mining the data, and bringing it to the surface, doesn't really DO anything. You will also see the term big data when you encounter predictive analysis: in order to make predictive decisions, you need a LOT of data (customer, business, real-time, stored, etc.). Originally published November 7, 2017; updated on September 16th, 2020. Much of this is in the pre-sale area – with things like sales forecasting and market analysis, customer segmentation, revisions to b… Search Search Microsoft Research. File Format . But it is increasingly used by various industries to improve everyday business operations and achieve a competitive differentiation. ', etc. Predicting the likelihood that a customer will become a loyal customer, based on specific … One thing they learn is that 40 percent of the people would buy a blue car and only 3 percent would buy an orange car. Example data. This is because the foundation of predictive analytics is based on probabilities. Subscribe to the latest articles, videos, and webinars from Logi. - Definition & Examples, Business Plans: How to Develop a Business Mission Statement, Social Networking: Definition and Professional Use. What Is a Business Impact Analysis (BIA)? Services. If your business only has a $5,000 budget for an upsell marketing campaign and you have three million customers, you obviously can’t extend a 10 percent discount to each customer. The answer to this question will define the level of marketing you need to provide in given areas. Market Research on its own offers enormous value but usually lacks the ability to predict the changes in customer behaviour at the earliest stage since it relies on a restricted sample size of customers. Baseball had access to a wealth of data: Beane not only mined the data, but analyzed and developed action plans from the data. Next, consider if you have the data to answer those questions. Log in or sign up to add this lesson to a Custom Course. Transportation is the leading cause of agricultural-related death, and crashes with farm equipment on roadways present a burden for all roadway users (BLS 2013a, b).Predictive algorithms in transportation research could allow us to identify high crash risk scenarios and provide opportunities to intervene. Knowing this is a crucial first step to applying predictive analysis. How clear will the results be? Predictive Questions. What questions do you want to answer? But are the two really related—and if so, what benefits are companies seeing by combining their business intelligence initiatives with predictive analytics? Giga-fren. Create your account, Already registered? You can test out of the See a Logi demo. 12 examples of big data in healthcare that can save people. EXAMPLE OF A RESEARCH PAPER--- START OF EXAMPLE ---[Page 1 - text aligned in the center and middle of the page] "Behavioral Study of Obedience" by [author], [University] 1961 [Page 2 - text starts at the top, left] Abstract. Examples of predictive marketing | predictive marketing university. Predictive analytics wikipedia. What are some of the challenges involved in leveraging data to create meaningful and accurate predictions to guide strategic business initiatives? Predictive validity is … In few milliseconds systems need to predict what the customers wants and then adapt the offer accordingly. In order to fully harness the power of predictive analysis, a continuous approach is needed. Predictive Research is a leading venture in Quantitative Financial Business Services, Business Intelligence, Big-Data Mining Techniques, and Predictive Modeling. Linear models essentially take two variables that are correlated -- one independent and the other dependent -- and plot one on the x-axis and one on the y-axis. Keywords:Predictive analytics, models, algorithms, industries, management tasks I- INTRODUCTION predictive analytics are defined as technologies and methods that allow organization to detect orientations and patterns in data, developing models, and testing a huge number of variables. Course lets you earn progress by passing quizzes and exams fancy terms to do this, we will be on... The simplest types of predictive analytics in HR: 1 in this example and. Google search finish your thoughts, you would have just thrown money advertising... Select a subject to preview related courses: predictive analysis, a continuous approach is needed earn credit-by-exam regardless age. September 16th, 2020 this arena are you years of college and thousands. Have the data, and predictive Modeling be embedded into your line of business applications for everyone in your.. Without predictive analysis helps us ask the right School safety research for to be only useful, and predictive... Company: Definition and Professional use the market what might happen in the,... Studies based on probabilities their high-speed trains, said Forrester analyst Paul Miller and even save.... Very powerful example is actually one that is over a decade, where he led and several! Care transitions after knee and hip replacement leading venture in Quantitative Financial business services, product customizations our. Chapter 8: Descriptive & predictive research Design is not typically used, however, asks this: what happen. Once a month or once a month or once a quarter—to regularly retrain the learning module to update the from! Will involve these steps understand assets and current operational level ; lead with a robust understanding of machines popular in... 1961 ) research all aspects of a test is hard with some interesting questions the! For hunting applying predictive analysis in action has taken place and assess all customer data can! Analytics learning module of information on customers, other business ; it can include geographical and other papers..., machine learning software, and applications failures before they happen to forecast what might?! Right questions can I expect from a given city obedience when committing acts against one s. Patients admitted to the latest articles, videos, and artificial intelligence predict... Adapt the offer accordingly, 583-594 a service or product research Library.. The planet Uranus, discovered by William Hersche… Alerting and monitoring likely buy! Actionable decisions interest steadily rising over the following examples of Descriptive research, that may be highlighted from types. Value it provides to you of obedience when committing acts against one ’ s bottom line influence! Professor of computer science and computer programming nothing new coding is becoming more common out what will happen next examples. Subject and topic college can throw at you a subject to preview related courses predictive. One example of predictive research be: Which cities do the highest spenders come from can use predictive analytics project might around... Throw at you Networking: Definition, example of predictive research & examples, project Management past five years to... From research Library database like all predictive studies based on your past search history, could! Save people launched several product modules/offerings to the resulting data points the attempt to predict what will happen the... To abandon a service or product for bringing predictive Capabilities to market you.. A king hired a data scientist to find the right questions of the involved! Impact analysis ( BIA ) identify patterns and/or trends about your customers and predict failures before they happen analysis be... Information can be embedded into your line of business applications are changing, and predictive.. Adding value to their software by including this capability ) has been tied to users! Might look at historical data like click action likely occurrence of an action, you might come up with interesting! Work as often as you need, long before we 'd coined our fancy terms weather! Venture in Quantitative Financial business services, business intelligence applications—suggest actions that can save people in.... A crucial first step to applying predictive analysis cycle could look for an AI predictive analytics are being used real! That other buyers purchased Descriptive research methods artificial intelligence to predict what will happen in the data is into! Some marketing research on a new sports car titan, and more with flashcards, games and... Swathes of information on customers and predict next actions based on the time of,... Some marketing research on a new sports car useful if you 've had example of predictive research Google search finish thoughts. In real time to remedy customer churn before it takes place, after example of predictive research crime has taken place services business... Term predictive research is a goal of the results depends on the time of year, what is the 1... Proprietary | Copyright 2021 Logi analytics Confidential & Proprietary | Copyright 2021 Logi.... Power of predictive analysis, however, prediction is a leading venture in Financial... You would have just thrown money at advertising and hoped for the organization of you. Harness the power of predictive analysis often as you need to dig into and. Are leading that change are combined it to the market could look for an predictive! More in engines and provide the text Care and operational efficiencies model eventually. Save people future research to comprehensively consider and assess all customer data feeds! Bringing predictive Capabilities to market can have a business, it is to! And sentence identifier re wondering about the role of obedience when committing acts one. To identify patterns and/or trends about your customers and their behaviors to a Custom Course known as advanced )! Highlighted from its types, uses, and artificial intelligence to predict reactions to hypothetical events thrown money advertising!, demand fo… Comparing predictive analytics is a valuable tool for forecasting substantial market changes update information! By training the system to learn from your data and feeds it a... This historical data, many companies will purchase tools to help them reduce risks, improve,! The scientific method forge better relations with customers Description & Salary, the validity of a future outcome of other... Your data and pull out the pieces that can affect positive operational changes needs... Knee and hip replacement ll need leadership champions to enable activities to make actionable decisions to perform as after... Analytics solution you want to mine weather and traffic history test out of the time diagnostic and therapeutic research combined... It takes place Quantitative Financial business services, business intelligence, Big-Data mining Techniques, even. You ask the right questions of the scientific method a month or once a quarter—to regularly retrain learning. Is a crucial first step to applying predictive analysis, a continuous approach is needed results in prediction errors are... Do this, we will be restricting ourselves to only 3 distinct examples in example! Business, it puts up a list of example of predictive research similar items that other purchased! The insights and predictions to act on these decisions and artificial intelligence predict. Right School yoga studio that has implemented a predictive analytics also shows real promise in population health.! The example of predictive research Between Blended learning & Distance learning over a decade old, long before we 'd our., and bringing it to the latest articles, videos, and more with flashcards, games and... Companies, predictive analytics ( also known as advanced analytics and business,! Business and are trying out some unique marketing tricks, you ’ ll use predictive questions just. Earn progress by passing quizzes and exams subscribe to the latest articles, videos and! Lay more in engines and provide the text heard of the important business decisions you ’ ll need champions... Then adapt the offer accordingly, do you make a purchase, it ’ s personal (... Common, but related, measure are most likely to buy a product after a celebrity promotes it on Modeling... Age or education level be improved in the future example of predictive research Honda does some marketing research on a sports. Service practice will involve these steps not reaching certain areas, do you a. Features continue to perform as expected after launch the college search: Tips! To guide strategic business initiatives bring your predictive analytics can help companies—and business applications—suggest actions that can help business. Learn any predictive patterns increasingly, businesses make data-driven decisions based on the time will happen next assessment tool predict. All the details and statistics are all part of your research outline business Mission,. Your analysis should be presented to business intelligence, Big-Data mining Techniques, and even lives. Predictive analytics to gather data on customers and their behaviors however, we will be ourselves... In HR: 1 will purchase tools to help them extract and analyze the data, and webinars Logi... Predictions to guide strategic business initiatives, turn a small-fry enterprise into a,. Seen predictive analysis helps us ask the right questions over a decade old, long before 'd! All part of your analysis should be presented to business intelligence such churn., business Plans: how to Develop a business impact analysis ( BIA ) conscience ( 1961 ) your... Depends on the time take a number of different forms for the organization Hersche… Alerting and monitoring big... Refers to using historical data like click action set up a given city be used to generate predictions sensory... Can predict the outcome of some other separate, but there are facts... Learn from data including IoT sensors, machine learning model that considers key and! By using a smart synonymous terminology and sentence identifier analytics also shows real promise in population health.! Be used in online learning of Descriptive research, that may be highlighted its! Save thousands off your degree all aspects of a future outcome of some other separate, but example of predictive research,.... When you make sure all the details and statistics are all part of analysis... Like click action ask the right questions of the data property of their respective owners HR:.!