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Search results “Data analysis in market research”
Marketing Analytics: Predictive Analytics in Marketing
 
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In marketing, people face a number of problems.While these problems have been traditionally solved using gut feeling, more recently predictive analytics is being used. The problems normally faced in marketing are as follows: Knowing attrition rate, potential churn customers Knowing how many market segments exists How to allocate marketing budget Impact of a marketing campaign Knowing Loyal customers/key drivers Direct marketing strategy Key drivers of sales Choosing between different marketing/product strategy A number of models predictive models are being used to solve the above problems namely : Churn model, Cross sell /Up sell model, Attrition model, Loyalty model, Market mix model ANalytics Study Pack : http://analyticuniversity.com/ Analytics University on Twitter : https://twitter.com/AnalyticsUniver Analytics University on Facebook : https://www.facebook.com/AnalyticsUniversity Logistic Regression in R: https://goo.gl/S7DkRy Logistic Regression in SAS: https://goo.gl/S7DkRy Logistic Regression Theory: https://goo.gl/PbGv1h Time Series Theory : https://goo.gl/54vaDk Time ARIMA Model in R : https://goo.gl/UcPNWx Survival Model : https://goo.gl/nz5kgu Data Science Career : https://goo.gl/Ca9z6r Machine Learning : https://goo.gl/giqqmx Data Science Case Study : https://goo.gl/KzY5Iu Big Data & Hadoop & Spark: https://goo.gl/ZTmHOA
Views: 15240 Analytics University
The Data Analysis Process
 
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The process of doing statistical analysis follows a clearly defined sequence of steps whether the analysis is being done in a formal setting like a medical lab or informally like you would find in a corporate environment. This lecture gives a brief overview of the process.
Views: 66706 White Crane Education
Marketing Research - Analyzing the Data - Mean, Median, & Mode
 
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This video will explore the statistical tools marketers have at their disposal to make sense of the numbers. These tools are what you will use after conducting a survey so that the information collected can be used to make appropriate decisions.
Views: 3308 Jason Richea
How do I Analyze a Marketing Survey in Excel
 
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Tutorial of analyzing marketing survey in Microsoft Excel with pivot table and chart. More details browse here: http://bit.ly/marketingwithexcel Step by step information from making pivot table, pivot chart, and chart as a report to management consumption. Please like and follow this channel for other marketing tutorials. Video Category: Pivot Table Survey Results Survey Analysis Excel Excel Spreadsheet For Survey Results Analyzing Survey Data In Excel Using Excel For Survey Analysis Source: http://youtu.be/18XRBcm3ltU http://marketingforbeginner.blogspot.com/2012/06/analyze-marketing-survey-with.html
Marketing Statistics in Excel 9.1 Regression Analysis, Univariate and Multivariate Regression
 
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Learn about managing data in Excel. These are the Video supplements for Workbook of Quantitative Tools and Techniques in Marketing, 2nd Ed. Part of a full MOOC.
Views: 4575 Tim J Smith PhD
Digital Marketing Analytics – Why It Is Important To Understand Your Metrics
 
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Are you tired of not being able to track your digital marketing results? And do you wish there was an easy way to quickly figure out what’s working, and what’s not, so you didn’t waste your time and money on ineffective marketing tactics? If so, then you’re in the right place, as on this episode we’re going be diving in head first to take on the mistakenly overly complicated world of digital marketing analytics, so you can quickly learn what you need to watch and measure, and what you can leave behind. The truth behind digital marketing analytics is that they can be as simple or as complicated as you want them to be. So here are 5 easy to use and easy understand digital marketing metrics that you can start tracking today. 1: Website Visitors The easiest place to start is by taking a look at your website traffic and it’s number of visitors. While this is somewhat of a vanity metric, meaning that it may not directly relate to the bottom line, it is helpful in measuring and tracking how many people are visiting your businesses virtual store front. 2: Bounce Rate Your bounce rate is the number of people who visit your site and then quickly leave, or bounce off. Here is where we want to see a low number, as this means that people are sticking around and having more of a look through your content. 3: Number Of Email Subscribers Just like with website visitors, you want to see a steady increase of email subscribers over time. It doesn’t matter what business you’re in, the odds are good that you could benefit by using an email marketing strategy. 4: Click Through Rate (CTR) Your click through rate refers to how many people took action and clicked on one of your posts or advertisements. CTR is a valuable metric to watch anytime you’re creating an ad for any of the social or search engine platforms, as a high click through rate means that what your ad is saying is relevant and interesting enough for someone to want to click and learn more. 5: Lifetime Customer Value Lifetime customer value can be one of the most challenging, but also one of the most valuable metrics to watch and track. While there are a number of pretty fancy and expensive software tools and services out there that can help, even having a rough, general idea of the lifetime value of a customer to your business is still beneficial to your digital marketing campaigns. ► Download your free copy of The One Page Marketing Plan Here – http://adamerhart.com/marketingplan #LINKS Website: http://adamerhart.com Twitter: http://twitter.com/adamerhart Facebook: http://facebook.com/officialadamerhart Instagram: http://instagram.com/adamerhart Snapchat: snapadamerhart
Views: 21897 Adam Erhart
GD  Analysis - Data Analysis and Market Research
 
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www.GDanalysis.com is a London based company providing services globally. It was established in 2013 with an objective to provide clients means to superior quality data processing and analysing at competitive prices.
Views: 121 Girish Ramlochun
Fundamentals of Qualitative Research Methods: Data Analysis (Module 5)
 
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Qualitative research is a strategy for systematic collection, organization, and interpretation of phenomena that are difficult to measure quantitatively. Dr. Leslie Curry leads us through six modules covering essential topics in qualitative research, including what it is qualitative research and how to use the most common methods, in-depth interviews and focus groups. These videos are intended to enhance participants' capacity to conceptualize, design, and conduct qualitative research in the health sciences. Welcome to Module 5. Bradley EH, Curry LA, Devers K. Qualitative data analysis for health services research: Developing taxonomy, themes, and theory. Health Services Research, 2007; 42(4):1758-1772. Learn more about Dr. Leslie Curry http://publichealth.yale.edu/people/leslie_curry.profile Learn more about the Yale Global Health Leadership Institute http://ghli.yale.edu
Views: 178739 YaleUniversity
Choosing which statistical test to use - statistics help.
 
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Seven different statistical tests and a process by which you can decide which to use. The tests are: Test for a mean, test for a proportion, difference of proportions, difference of two means - independent samples, difference of two means - paired, chi-squared test for independence and regression. This video draws together videos about Helen, her brother, Luke and the choconutties. There is a sequel to give more practice choosing and illustrations of the different types of test with hypotheses.
Views: 814219 Dr Nic's Maths and Stats
3 Ways to Structure Quantitative Market Research Reports
 
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Writing great quantitative market research reports is hard! Often, we don't have as much time to write them as we would like. One strategy for being as efficient as possible? Having a precise outline ready so that once you have your data, you can write your report in a fast, logical manner. In this conversation, Kathryn Korostoff discusses three ways to organize a quantitative market research report. And one of them may surprise you. Be sure to download the provided file. Note: this content is an excerpt from Research Rockstar course Writing Quantitative Research Reports, link here: https://training.researchrockstar.com/products/writing-quantitative-research-reports
5 Invaluable Sites for Market Research Data
 
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http://www.KillerOnePageBusinessPlan.Com - Business Plan expert Toni Navy shares 5 Sites to Use When Researching Info for Business Planning in her Killer One-Page Business Planning Entrepreneur Powerbyte video series.
Views: 6173 toninavy
10 Qualitative data analysis
 
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A video tutorial from the National Union of Students, introducing the principles and practice of qualitative data analysis particularly for free text comments on the National Student Survey.
Views: 14859 Kate Little
SQL for Marketers and Marketing Analysts
 
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This is an example of how to use SQL for Marketing. There is a full course available on Udemy if you are interested. We provide in person training on various topic in Digital Marketing and analytics. http://click.linksynergy.com/fs-bin/click?id=taij1RQ6Arg&subid=0&offerid=323058.1&type=10&tmpid=14538&RD_PARM1=https%3A%2F%2Fwww.udemy.com%2Fsql-for-marketing-analysis%2Flearn%2Fv4%2Foverview
Views: 2237 Optizent
Hidden connections - Data analysis in brain and supermarket
 
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Neuroscientist Sonja Grün uses methods from retailing market research to understand how neurons cooperate.The statistical method known as "frequent itemset mining" (FIM) finds groups of objects in large volumes of data quickly and efficiently and counts their frequencies. In retailing market research, this is used, for example, to identify products that are often purchased together. In brain research, a modified version of the FIM method helps to distinguish behaviour-dependent activity patterns from random patterns. This enabled Jülich scientists to establish which of the simultaneously active neurons form a functional group, for instance while the eye focuses on a given object. (mb) A film by Johannes Faber and Gunnar Grah
AI for Marketing & Growth #1 - Predictive Analytics in Marketing
 
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AI for Marketing & Growth #1 - Predictive Analytics in Marketing Download our list of the world's best AI Newsletters 👉https://hubs.ly/H0dL7N60 Welcome to our brand new AI for Marketing & Growth series in which we’ll get you up to speed on Predictive Analytics in Marketing! This series you-must-watch-this-every-two-weeks sort of series or you’re gonna get left behind.. Predictive analytics in marketing is a form of data mining that uses machine learning and statistical modeling to predict the future. Based on historical data. Applications in action are all around us already. For example, If your bank notifies you of suspicious activity on your bank card, it is likely that a statistical model was used to predict your future behavior based on your past transactions. Serious deviations from this pattern are flagged as suspicious. And that’s when you get the notification. So why should marketers care? Marketers can use it to help optimise conversions for their funnels by forecasting the best way to move leads down the different stages, turning them into qualified prospects and eventually converting them into paying customers. Now, if you can predict your customers’ behavior along the funnel, you can also think of messages to best influence that behavior and reach your customer’s highest potential value. This is super-intelligence for marketers! Imagine if you could not only determine whether a lead is a good fit for your product but also which are most promising. This’ll allow you to focus your team’s efforts on leads with the highest ROI. Which will also imply a shift in mindset. Going from quantity metrics, or how many leads you can attract, to quality metrics, or how many good leads you can engage. You can now easily predict your OMTM or KPIs in real-time and finally push vanity metrics aside. For example, based on my location, age, past purchases, and gender, how likely are you to buy eggs I if you just added milk to your basket? A supermarket can use this information to automatically recommend products to you A financial services provider can use thousands of data points created by your online behaviour to decide which credit card to offer you, and when. A fashion retailer can use your data to decide which shoes to recommend as your next purchase, based on the jacket you just bought. Sure, businesses can improve their conversion rates, but the implications are much bigger than that. Predictive analytics allows companies to set pricing strategies based on consumer expectations and competitor benchmarks. Retailers can predict demand, and therefore make sure they have the right level of stock for each of their products. The evidence of this revolution is already around us. Every time we type a search query into Google, Facebook or Amazon we’re feeding data into the machine. The machine thrives on data, growing ever more intelligent. To leverage the potential of artificial intelligence and predictive analytics, there are four elements that organizations need to put into place. 1. The right questions 2. The right data 3. The right technology 4. The right people Ok.. let’s look at some use cases of businesses that are already leveraging predictive analytics. Other topics discussed: Ai analytics case study artificial intelligence big data deep learning demand forecasting forecasting sales machine learning predictive analytics in marketing data mining statistical modelling predict the future historical data AI Marketing machine learning marketing machine learning in marketing artificial intelligence in marketing artificial intelligence AI Machine learning ------------------------------------------------------- Amsterdam bound? Want to make AI your secret weapon? Join our A.I. for Marketing and growth Course! A 2-day course in Amsterdam. No previous skills or coding required! https://hubs.ly/H0dkN4W0 OR Check out our 2-day intensive, no-bullshit, skills and knowledge Growth Hacking Crash Course: https://hubs.ly/H0dkN4W0 OR our 6-Week Growth Hacking Evening Course: https://hubs.ly/H0dkN4W0 OR Our In-House Training Programs: https://hubs.ly/H0dkN4W0 OR The world’s only Growth & A.I. Traineeship https://hubs.ly/H0dkN4W0 Make sure to check out our website to learn more about us and for more goodies: https://hubs.ly/H0dkN4W0 London Bound? Join our 2-day intensive, no-bullshit, skills and knowledge Growth Marketing Course: https://hubs.ly/H0dkN4W0 ALSO! Connect with Growth Tribe on social media and stay tuned for nuggets of wisdom, updates and more: Facebook: https://www.facebook.com/GrowthTribeIO/ LinkedIn: https://www.linkedin.com/company/growth-tribe Twitter: https://twitter.com/GrowthTribe/ Instagram: https://www.instagram.com/growthtribe/ Snapchat: growthtribe Video URL: https://youtu.be/uk82DHcU7z8
Views: 23210 Growth Tribe
Is your market research subject to analysis bias?
 
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Bias can get introduced at various points in a market research project. Here is a look at an often overlooked source of bias: bias that gets introduced during analysis and reporting. Professional researchers are often trained to mitigate bias during the research planning and data collection phases of a project. For example, survey researchers are trained to word questions and select scales that mitigate bias. And moderators are trained to ask questions and probe using techniques that mitigate bias. But what about after data collection? When data (quantitative or qualitative) is being analyzed, synthesized and reported? Tip: This conversation is a great one for a team "lunch-and-learn." We suggest watching the video as a team, and then using the following discussion questions: 1. Thinking about the team's most recent projects, do you think there was any bias introduced during the analysis or reporting phase? 2. Is your team comfortable reporting "bad news"? 3. Does your team use any techniques during the report writing process to mitigate over-relying on researcher recall or researcher-cultural bias?
R for Marketing Research and Analytics
 
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For more workshops, please visit: http://scientistcafe.com. For future workshops, you can follow twitter: @gossip_rabbit or join our meetup group: http://www.meetup.com/Central-Iowa-R-User-Group/ In the past, marketing has been thought of as a "non-quantitative" domain and few marketers have been trained comprehensively in statistical methods. Much of the sophisticated analysis that is done in marketing is done by specialists using specialized software. In an effort to change this, Chris Chapman and Elea McDonnell Feit wrote R for Marketing Research and Analytics, the first text to teach R specifically for marketers from basics through advanced applications. In this talk, Chris and Elea will give an introduction to R for marketing researchers.
Views: 8051 Hui Lin
5 Analytics Tools for Tracking and Measurement
 
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You would need these five essential analytics tools in your tracking stack to be successful with taking your data to the next level. Mentioned Tools: Google Analytics - https://analytics.google.com Google Tag Manager - https://www.google.com/analytics/tag-manager/ Adobe Analytics - http://www.adobe.com/marketing-cloud/web-analytics.html Adobe DTM - https://dtm.adobe.com/sign_in Kiss Metrics - https://www.kissmetrics.com/ Mixpanel - https://mixpanel.com/ R Language - https://www.r-project.org/about.html SurveyMonkey - https://www.surveymonkey.com/ SurveyGizmo - https://www.surveygizmo.com/ Tableau - http://www.tableau.com/ Optimizely - https://www.optimizely.com/ Drip - https://www.drip.co/ 🎓 Learn more from Measureschool: http://measureschool.com/products 🔀 GTM Copy Paste https://chrome.google.com/webstore/detail/gtm-copy-paste/mhhidgiahbopjapanmbflpkcecpciffa 🚀Looking to kick-start your data journey? Hire us: https://measureschool.com/services/ 📚 Recommended Measure Books: https://kit.com/Measureschool/recommended-measure-books 📷 Gear we used to produce this video: https://kit.com/Measureschool/measureschool-youtube-gear 👍 FOLLOW US Facebook: http://www.facebook.com/measureschool Twitter: http://www.twitter.com/measureschool LinkedIn: https://www.linkedin.com/company/measureschool
Views: 47907 MeasureSchool
Marketing Research - Secondary Research Sources
 
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This video will explain what secondary research is in Marketing, how to use secondary research sources, who uses this information, when to use such data, and the different types of secondary research sources.
Views: 14486 Jason Richea
Excel Data Analysis: Sort, Filter, PivotTable, Formulas (25 Examples): HCC Professional Day 2012
 
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Download workbook: http://people.highline.edu/mgirvin/ExcelIsFun.htm Learn the basics of Data Analysis at Highline Community College Professional Development Day 2012: Topics in Video: 1. What is Data Analysis? ( 00:53 min mark) 2. How Data Must Be Setup ( 02:53 min mark) Sort: 3. Sort with 1 criteria ( 04:35 min mark) 4. Sort with 2 criteria or more ( 06:27 min mark) 5. Sort by color ( 10:01 min mark) Filter: 6. Filter with 1 criteria ( 11:26 min mark) 7. Filter with 2 criteria or more ( 15:14 min mark) 8. Filter by color ( 16:28 min mark) 9. Filter Text, Numbers, Dates ( 16:50 min mark) 10. Filter by Partial Text ( 20:16 min mark) Pivot Tables: 11. What is a PivotTable? ( 21:05 min mark) 12. Easy 3 step method, Cross Tabulation ( 23:07 min mark) 13. Change the calculation ( 26:52 min mark) 14. More than one calculation ( 28:45 min mark) 15. Value Field Settings (32:36 min mark) 16. Grouping Numbers ( 33:24 min mark) 17. Filter in a Pivot Table ( 35:45 min mark) 18. Slicers ( 37:09 min mark) Charts: 19. Column Charts from Pivot Tables ( 38:37 min mark) Formulas: 20. SUMIFS ( 42:17 min mark) 21. Data Analysis Formula or PivotTables? ( 45:11 min mark) 22. COUNTIF ( 46:12 min mark) 23. Formula to Compare Two Lists: ISNA and MATCH functions ( 47:00 min mark) Getting Data Into Excel 24. Import from CSV file ( 51:21 min mark) 25. Import from Access ( 54:00 min mark) Highline Community College Professional Development Day 2012 Buy excelisfun products: https://teespring.com/stores/excelisfun-store
Views: 1617991 ExcelIsFun
Market Research Analyst Career Profile - Job Description, Salary, MNC Job Role
 
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This Video is about " Market Research Analyst Career Profile" By Anchor Ipshita. Visit http://www.freshersworld.com?src=Youtube for Job openings through out india Market research analysts gather and analyze data on consumers and competitors. Market research analysts study market conditions to examine potential sales of a product or service. They help companies understand what products people want, who will buy them, and at what price. What do they do? The avid market researcher decodes a large amount of numbers and statistics and filters out actionable insights for which companies are ready to pay millions of dollars. The challenges are many and the stakes high, but the thrill of it all is what drives aspirants to choose a career in market research. Skills Needed: • Observation • Very good analytical skills • Good listening skills • Good storytelling ability • Good researching skills • Good communication skills • Eye for detail • Mathematical ability How do I get there? To pursue a career in marketing research, you need to be concrete about your goals and ambitions so that you can do justice to your course. The minimum requirement for most jobs in marketing research is a bachelor's degree, which could be an undergraduate course - Bachelor of Business Administration (BBA) and postgraduate course - Master of Business Administration (MBA). For those interested in doing specialised training courses, one can take up a course in Master of Marketing Research. A large of number of management institutes in India offer special courses in marketing research studies. Typical day in the life of a Marketing Research: • There is no hour to hour schedule for a marketing researcher. He/She would typically be looking at huge numbers on excel sheets, understanding the same, churning out valuable insights for the brand that he/she is working on and advice the course of action that the brand needs to take. • He/She acts a doctor and advisor to multiple brands across product categories. • Presenting the news [good or bad] to the client is in itself an art that he/she masters over a period of time. • Good Marketing Researchers are in great demand in the industry. Pros & Cons about this career: • Flexibility to work on brands in different industries • Criticism, mentally taxing, working under pressure Salary: The starting salary starts from 3-4 LPA and goes upto 13-14 LPA. For more jobs & career information and daily job alerts, subscribe to our channel and support us. You can also install our Mobile app for govt jobs for getting regular notifications on your mobile. Freshersworld.com is the No.1 job portal for freshers jobs in India. Check Out website for more Jobs & Careers. http://www.freshersworld.com?src=Youtube - - ***Disclaimer: This is just a career guidance video for fresher candidates. The name, logo and properties mentioned in the video are proprietary property of the respective companies. The career and job information mentioned are an indicative generalised information. In no way Freshersworld.com, indulges into direct or indirect recruitment process of the respective companies.
Big Data and Marketing Analytics by Professor Jean-Pierre Dubé
 
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Catch a preview of the new Chicago Booth Executive Education program, Big Data and Marketing Analytics, in this video featuring with Professor Jean-Pierre Dubè. Learn more and enroll. www.ChicagoBooth.edu/BDMA
Comparing Secondary & Primary Data in Marketing Research
 
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http://www.woltersworld.com When doing marketing research you have many options in terms of fonts of data. However, you must consider what kind of data you want to collect, secondary data that others have done before or go out and do primary data research on your own. This video goes through the basic differences of the two different types of marketing research data. Copyright Mark Wolters 2012
Views: 31038 Wolters World
Data analysis survey marketing research
 
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Data analysis from a Christmas shopping/giving. For each question that used an interval or ratio scale, I included a frequency distribution chart, central tendencies (mean, median, and mode), and dispersion metrics, range, standard deviation. When I have an open-ended question or questions that use a nominal or ordinal scale, include a cross-tabulation table.
Views: 94 Haley Hoss
Big Data Marketing
 
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Big Data -- yet another buzz word. But what is it? This video has big data explained in laymen terms. Big Data is simply our ability to take massive amounts of data and derive a narrative from it. Not too long ago, performing analytics on such massive amounts of data was infeasible. The popularity of distributed computing and parallel computing allowed for "Big Data". In technical terms, we only scratch the surface. But consider this video: Big Data Simplified with Big Data Examples. Big Data Marketing is also picking up. In this video we show you how major companies like Walmart, Netflix & Facebook use Big Data in their marketing & sales efforts to drastically increase their profits & presence. Small companies & startups are also taking advantage of big data analytics & big data companies to target their customers inexpensively. We hope you enjoy this video on Big Data Marketing :) We'd love to hear your thoughts -- write us a comment! Interested in more like this? Check out our video on "What is Growth Hacking? ": https://www.youtube.com/watch?v=oCV2DBhNKf8 Check out our video on "Minimimum Viable Product": https://www.youtube.com/watch?v=qbbt2YbqMPY Subscribe to our channel to keep updated! :) If you want more quality content and a guide on self-education, then check out our website at: www.skipmba.com SkipMBA big data examples | What is big data? | big data netflix | big data simplified | big data walmart | big data facebook | big data oculus | big data virtual reality | big data explainer video | big data marketing examples | companies who use big data | what is big data marketing?, | big data explainer video
Views: 21283 Mango Research
How is big data changing marketing?
 
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review.chicagobooth.edu | Improvements in computing power, innovations in data analysis, and changes in how consumers interact with brands and products have ushered in the era of "big data" in business. But now that marketers and other executives have access to enormous caches of customer data, what are they doing with it? Chicago Booth's Sanjog Misra and a trio of industry experts join Hal Weitzman to explore what new opportunities and challenges have arisen due to data breakthroughs.
Views: 2739 Chicago Booth Review
Digital Analytics Fundamentals | Web Analytics For Beginners | Digital Marketing | Simplilearn
 
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This Digital Analytics Fundamentals Tutorial will give an introduction to Digital Analytics, introduction to Data Analytics followed by some real life examples. Digital Analytics is the science of analysis that focuses on Internet data. It involves the collection, analysis, and data-informed decisions leading to the optimization of an organization's digital ecosystem and supporting business processes. Data from websites, mobile applications, social media, Internet of Things, or third party sources are commonly combined with back-office Customer Relationship Management (CRM) and Sales systems to inform business decisions. Digital Analytics has become an integral part of core business strategies, workflow optimization, and maintaining a competitive edge. This Digital Analytics Tutorial will explain the topics listed below: -( 00:14 ) Introduction to Digital Analytics -( 01:31 ) Introduction to Data Analytics -( 02:04 ) Understanding the 10/90 Rule -( 03:30 ) Understanding 20/80 Rule -( 08:48 ) Digital Analytics Continuous Improvement Process and Methodology -( 15:18 ) Tools, Technology, and Data Integration -( 17:23 ) Digital Analytics Real-life Example #DigitalMarketing #SimplilearnDigitalMarketing #DigitalMarketingCourse #DigitalMarketingCertification #DigitalMarketingCertifiedAssociate Subscribe to Simplilearn channel for more Social Media Marketing Tutorials - https://www.youtube.com/user/Simplilearn?sub_confirmation=1 For More Digital Marketing Tutorial videos, check our Digital Marketing tutorial for beginners playlist: https://www.youtube.com/watch?v=xA_yMYN19ug&list=PLEiEAq2VkUULa5aOQmO_al2VVmhC-eqeI Digital Marketing Articles: https://www.simplilearn.com/resources/digital-marketing?utm_campaign=Digital-Analytics-Fundamentals-WaDjcajOmUo&utm_medium=Tutorials&utm_source=youtube To Gain in-depth knowledge of Digital Analytics and other Digital Marketing concepts, check out Advanced Web Analytics Course: https://www.simplilearn.com/digital-marketing/web-analytics-certification-training?utm_campaign=Digital-Analytics-Fundamentals-WaDjcajOmUo&utm_medium=Tutorials&utm_source=youtube ------------------------------------- What’s the focus of this Advanced Web Analytics course? Advanced Web Analytics is the science of analysis that focuses on Internet data. It involves the collection, analysis, and data-informed decisions leading to the optimization of an organization's digital ecosystem and supporting business processes. Data from websites, mobile applications, social media, Internet of Things, or third party sources are commonly combined with back-office Customer Relationship Management (CRM) and Sales systems to inform business decisions. Web Analytics has become an integral part of core business strategies, workflow optimization, and maintaining a competitive edge. This Web Analytics course covers fundamental concepts of analytics and deep dives into web, social, content and mobile analytics common scenarios and covers the popular web analytics tools used by marketers across the major industry domains. Although this course approaches on learning Digital Analytics from a managerial perspective, it will showcase tips and techniques for the most common google web analytics platform and several other relevant tools along the way. -------------------------------------- What are the course objectives of this Advanced Web Analytics Course? Advanced Web Analytics training gives participants well-rounded knowledge in digital data analytics, including: 1. How to leverage data from various sources to conduct quantitative and qualitative research, and deliver actionable, data-informed business insights 2. How digital data analytics drives important insights for all aspects of your customer’s life cycle across the entire digital world 3. Uncover and learn about the various analysis capabilities enabled through digital data 4. How to better inform business decisions with rigorous analysis techniques ---------------------------------------- Who should take this course? This Digital Analytics training module is suitable for professionals who want to learn and specialize in digital analytics to boost their skillsets in the digital marketing industry and beyond. This course is best suited for participants who are: 1. Online Web Analytics Implementers 2. Online Web Analytics Data Reporters 3. Digital Analysts 4. Digital Marketers 5. Managers 6. Web Analytics Certification Aspirants 7. Digital Analytics Certification Aspirants ---------------------------------------- For more updates on courses and tips follow us on: - Facebook : https://www.facebook.com/Simplilearn - Twitter: https://twitter.com/simplilearn - LinkedIn: https://www.linkedin.com/company/simplilearn/ - Website: https://www.simplilearn.com Get the android app: http://bit.ly/1WlVo4u Get the iOS app: http://apple.co/1HIO5J0"
Views: 13115 Simplilearn
Secondary Market Research Data is Awesome!
 
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Secondary data can often amp up the quality of your market research work. And today, there are lots of secondary data sources. Learn more in this short video. Conversations & guest lectures on market research methods, analysis optimization, career trends, and anything else related to advancing customer insights.
Big Data, Big Opportunities for Marketing
 
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http://ibm.co/16MDdZR Big Data & Analytics is enabling companies to deliver the right message, to the right person, at the right time, for the right price. Leading marketers are using this advantage to deliver greater value and relevance to their customers. Learn how in this video from IBM.
Views: 41672 IBM Analytics
Market Research and Data Analytics for Service Businesses
 
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The most important element in reaching your audience in the digital world is having your brand or message in front of your audience at the critical moment. Our insights and search services will help ensure your audience finds you right when they need you. Learn More: http://www.mstechplus.com/services/insights-and-research/ Call: +1 888 592 0001 Email: [email protected]
Views: 114 MS Technologies
GoSurvey : Offline and Online Data collection tool for market research
 
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Customize your survey form and capture unlimited data in offline mode anytime,anywhere with Android & iOS Devices and get real time analytics reports.
Views: 450 GoSurvey Info
How to Analyze Satisfaction Survey Data in Excel with Countif
 
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Purchase the spreadsheet (formulas included!) that's used in this tutorial for $5: https://gum.co/satisfactionsurvey ----- Soar beyond the dusty shelf report with my free 7-day course: https://depictdatastudio.teachable.com/p/soar-beyond-the-dusty-shelf-report-in-7-days/ Most "professional" reports are too long, dense, and jargony. Transform your reports with my course. You'll never look at reports the same way again.
Views: 403888 Ann K. Emery
Qualitative and Quantitative Marketing Research (11:39)
 
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In this video, Dr. Gaurav Bhalla discusses select tools and methods for conducting effective market research. Dr. Bhalla is a faculty member of the University of Maryland’s Master of Professional Studies in Technology Entrepreneurship. For more info, you can visit http://www.mte.umd.edu.
Will Big Data Replace Market Research?
 
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At the Future of Consumer Intelligence 2013, Beth Schneider, Director, Corporate Customer Market Insights, INTUIT, sat down with us to discuss the role traditional market research play in a world of big data. To learn more visit http://www.iirusa.com/consumerintel/homepage.xml.
Views: 2782 tmreTV
Interpreting the Consumer Story: Text Analytics in Market Research
 
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Do you have customer service on your mind? Are you unsure how to analyze your customers' written comments? Text data exist all over the internet. Emails, forum questions, social media posts, customer service requests, answers to open-ended survey questions, and even this blog post are all sources of raw text data. Text data are drawn from anything written by a human being, and these raw text data can be analyzed to reveal insightful trends. We’ve got analytic techniques that will benefit your business! Learn more here: http://murphyresearch.com/text-analytics-in-market-research ---- Murphy Research Named Again One of Best Places to Work in LA http://www.murphyresearch.com/murphy-research-named-one-best-places-work-la 🎉🎉🎉 Murphy Research's Beautiful New Office Space http://murphyresearch.com/murphy-research-beautiful-new-office-space/ Why Working for Murphy Research Rocks! http://murphyresearch.com/why-working-for-murphy-research-rocks Subscribe to our Murphy Research channels here: http://www.murphyresearch.com https://www.facebook.com/MurphyResearch https://twitter.com/MurphyResearch https://www.linkedin.com/company/murphy-research https://plus.google.com/u/0/+Murphyresearch/posts http://www.instagram.com/MurphyResearch
Views: 385 Murphy Research
Factor Analysis - Factor Loading, Factor Scoring & Factor Rotation (Research & Statistics)
 
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Dr. Manishika Jain in this lecture explains factor analysis. Introduction to Factor Analysis: Factor Loading, Factor Scoring & Factor Rotation. NET Psychology postal course - https://www.examrace.com/CBSE-UGC-NET/CBSE-UGC-NET-FlexiPrep-Program/Postal-Courses/Examrace-CBSE-UGC-NET-Psychology-Series.htm NET Psychology MCQs - https://www.doorsteptutor.com/Exams/UGC/Psychology/ IAS Psychology - https://www.examrace.com/IAS/IAS-FlexiPrep-Program/Postal-Courses/Examrace-IAS-Psychology-Series.htm IAS Psychology test series - https://www.doorsteptutor.com/Exams/IAS/Mains/Optional/Psychology/ Steps in Research Proposal @0:24 Research Topic @0:43 Review of Literature @0:56 Rationale and Need for the Study @1:18 Definition of Terms @1:24 Assumptions @3:03 Method, Sample and Tools @4:06 Probability Sampling @4:23 Non - Probability Sampling @4:34 Significance of Study @5:13 Technique for Data Analysis @5:18 Bibliography @5:42 Budget @6:28 Chapterisation @6:39 #Expenditure #Tabulate #Significance #Assumption #Literature #Rationale #Constitutive #Phenomena #Elucidate #Literature #Manishika #Examrace Factor Analysis and PCA Reduce large number of variables into fewer number of factors Co-variation is due to latent variable that exert casual influence on observed variables Communalities – each variable’s variance that can be explained by factors Types of Factoring • PCA – maximum variance for 1st factor; removes that and uses maximum for 2nd factor and so on… • Common Factor Analysis – Same as factor analysis (only common variance – used in CFA) • Image Factoring – correlation matrix; uses OLS regression matrix • Maximum Likelihood Method – on correlation matrix • Alpha Factoring • Weight Square Estimate communalities - each variable’s variance that can be explained by factor. See factors are retained Factor rotation - Procedure in which the eigenvectors (factors) are rotated in an attempt to achieve simple structure. Factor loading - Relation of each variable to the underlying factor. Output of a simple factor analysis looking at indicators of wealth, with just six variables and two resulting factors 6 variables: Income, education, occupation, house value, public parks and crimes 2 factors: individual socioeconomic status and neighborhood socioeconomic status Factor Score – if value of variables are given then factor values can be predicted Interpretation
Views: 20690 Examrace
Lecture 4 Data preparation in research methodology
 
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It covers the process to prepare the data collected for data analysis in Research methodology
Views: 11269 Educate Motivate
Market Research Analysis Template
 
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Your Problem: You need to determine what type of analysis to conduct on the data collected through a market research effort. Our Solution: We created the Market Research Analysis Template to help you determine what type of analysis to engage in after collecting data in a market research effort. This Microsoft Word template describes the primary types of analysis to help you determine which type to perform. While data analysis is often quite straightforward, sophisticated data analysis techniques do exist. Depending on the complexity of your analysis effort, you may wish to use software or services from companies like SAS or IBM's SPSS to help complete your analysis. This template will help you decipher whether the simpler or more advanced techniques are better suited for your specific market research study. Key Benefits: - presents questions to discern analysis type to use - details different types of analysis - enables proper analysis of data collected - documents your analytical approach - works within a larger market research framework - See more at: http://www.demandmetric.com/content/market-research-analysis-template#sthash.q7GqDua1.dpuf
Views: 541 Demand Metric
PSMA Marketing Research Training - Data Analysis
 
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Professor Hans Baumgartner of the Penn State University, Smeal College of Business leads members through a brief introduction to data analysis with SPSS.
Views: 49 Jason Bixon
Global Big Data Analytics Market Research and Forecast 2017-2022
 
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Global Big Data Analytics Market, Size, Share, Market Intelligence, Company Profiles, Market Trends, Strategy, Analysis, Forecast 2017-2022. The global big data analytics market is expected to grow at a CAGR of 22% during 2017-2022. Big data analytics is examination of large and varied data sets usually known as “big data” to discover hidden patterns. It is also widely used for discovering unknown correlations and some other useful information that can guide organizations make more-informed decisions, improved operational efficiency and better opportunities. Globally, all the major economies have gone through a digital transformation in almost every field. The numerous advantages such as improved performance and profitability have shifted the major applications towards this transformation and also evolved a new term “Big Data”. This transformation results in a huge amount of data which needs some specialized tools and techniques to handle and process it, which directly affects the growth of the Market. Additionally, increased usage of IoT devices and a rising demand of mobile technologies and its applications are boosting the market growth. The need of big data analytics tools in different applications such as business intelligence and operations are demanding these tools rapidly which is motivating the market to grow. Please visit at full report: https://www.omrglobal.com/industry-reports/big-data-analytics-market/
How to Know You Are Coding Correctly: Qualitative Research Methods
 
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Coding your qualitative data, whether that is interview transcripts, surveys, video, or photographs, is a subjective process. So how can you know when you are doing it well? We give you some basic tips.