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: 54175 White Crane Education
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: 3060 Jason Richea
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: 4157 Tim J Smith PhD
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
Views: 9252 MarketingforBeginnerVideo
Thanks to the digital revolution, analytics is sweeping across industries in a huge way. Mastering certain data analytics skills can enable you to chart a successful career in this lucrative and rapidly changing domain. Data analytics is changing the way we live - from that app you use to navigate to work everyday or the cabs you hail through your phone, or the platforms you order food from, to the online shopping you find yourself doing on weekends. All of this activity generates massive amounts of data. This is where companies who have created these products come in. Analytics is changing the way we also do business. Deriving insights from large volumes of data to enable better decision-making and an even better customer experience has become the norm for competitive firms these days. Which is why being a data analyst in this world pays off well. Through this UpGrad Careers-In-Shorts Series, Rohit Sharma, Program Director at UpGrad, takes you through all you need to know about data analytics - the most promising career of tomorrow! The first one here is about the 4 core skills that will help you transition to the field of data analytics - a career of the future. Want to Be a Data Analyst? Here are Top Skills & Tools to Master: https://blog.upgrad.com/want-to-be-a-data-analyst-here-are-top-skills-tools-to-master/?utm_source=YouTube&utm_medium=Organic_Social&utm_campaign=YouTube_Video&utm_term=YouTube_Video_Data&utm_content=YouTube_Video_Data_Analytics_Skills_Blog_Link Transition to one of the coolest jobs in industry. Enroll now to be an expert Data Analyst: https://upgrad.com/data-science/?utm_source=YouTube&utm_medium=Organic_Social&utm_campaign=YouTube_Video&utm_term=YouTube_Video_Data&utm_content=YouTube_Video_Data_Analytics_Skills UpGrad takes pride in constantly churning out content that is contemporary, written by subject matter experts and delves into the world of Data Science, Big Data, Digital Marketing, Entrepreneurship, Product Management, Machine Learning and Artificial Intelligence, Software Development on regular basis. Stay on top of your industry by interacting with us on our social channels: Follow us on Instagram: https://instagram.com/upgrad_edu Like us on Facebook: https://www.facebook.com/UpGradGlobal Follow us on Twitter: https://www.twitter.com/upgrad_edu Follow us on LinkedIn: https://in.linkedin.com/company/ueducation
Views: 46667 upGrad
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: 11434 Analytics University
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/ Free GTM GTM Beginner course: https://gtmtraining.com/emailcourse Course: http://gtmtraining.com/products Learn more about measurement: http://measureschool.com Follow us…. https://twitter.com/measureschool https://www.facebook.com/measureschool . . RECOMMENDED MEASURE BOOKS: https://kit.com/Measureschool/recommended-measure-books GEAR WE USED TO PRODUCE THIS VIDEO: https://kit.com/Measureschool/measureschool-youtube-gear
Views: 42429 Measureschool
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: 18302 Mango Research
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: 163153 YaleUniversity
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: 89 Haley Hoss
This video describes the market segmentation process, and then demonstrates how to use Marketing Engineering software to run the analysis. It focuses on how to interpret the output of the analysis, but also covers some info on data collection and survey design as well as, selecting a target, product market fit, and go to market strategy. The video includes pointers for the students of Conor Henderson, Rob Palmatier, Oliver Rust and others may also appreciate the pointers for their segmentation analysis case (Conglomerate INC.'s New PDA) https://www.decisionpro.biz/ is where you can access the software demonstrated in this video.
Views: 37158 Conor Henderson
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: 17886 Adam Erhart
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: 39385 IBM Analytics
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
Views: 21484 Chicago Booth Executive Education
This webinar provides an overview of basic quantitative analysis, including the types of variables and statistical tests commonly used by Student Affairs professionals. Specifically discussed are the basics of Chi-squared tests, t-tests, and ANOVAs, including how to read an SPSS output for each of these tests.
Views: 19613 CSSLOhioStateU
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: 29730 Wolters World
COMPLETE COURSE VIDEO: http://www.onlinenifm.com/module_detail/126/data-analysis-for-trading-in-shares-and-commodity-market This course is specially designed for commodity traders to provide the Best knowledge to Help the trader and investors to gain the profit in intraday as well as short term positional trading in commodities like energy, bullions, gold, silver, crudeoil, natural gas, metals, copper, aluminium, lead, zinc, agro. Data Analysis is very important for Intraday & Positional Trading in all commodities of Commodity Market MCX of India, and all international markets us, uk, china. FOR ADMISSION, inquiry call us:- 01145646322, 9910300590 NIFM offers courses on following categories: 1. JOB oriented Courses - Diploma & Certification Courses 2. NSE NCFM & SEBI NISM Module Exam Certification - Classes for Preparation & Mock exam practice test papers 3. Stock Market Trading - Training courses from beginner level to advance level for share & commodity market trading. To buy Full, Online Courses:- http://www.onlinenifm.com/module_detail/126/data-analysis-for-trading-in-shares-and-commodity-market OR You can also check our OTHER COURSES: Check out all other classroom courses: http://www.nifm.in/courses-certification/financial-market.php Check out all other online courses: http://www.onlinenifm.com/courses/courses-and-certifications Check out our Research House:- http://www.nifmresearch.com SOCIAL MEDIA LINK: FaceBook:-https://www.facebook.com/NifmEducationalInstitutionsLtd/ Linkedin:- https://www.linkedin.com/company/6461026/ Twitter:- https://www.twitter.com/NIFM_India Google+ :-https://plus.google.com/+OnlineNIFM FOR ADMISSION, inquiry call us:- 01145646322, 9910300590 Data analysis or stock analysis will help you to understand how to buy and sell the stock or share by evaluating the past and currently available information and try to gain the profit by making the right decision. Get the Introduction of Data Analysis for Trading in Financial Market from Mr. Arvind Sharma (Economist & Fundamental Analyst). Learn about the Major data in Economy, Correlation of equity, Base metals, Currency Market, Retail Sales & Energy with bullions. London Metal Exchange Report. How the big data used in the analysis used in the Stock market trading? FOR ADMISSION, inquiry call us:- 01145646322, 9910300590
Views: 1923 Sun House
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: 7240 Hui Lin
View the book based on this speech on Amazon: https://www.amazon.com/dp/B07H9P3X32 About the Speaker: Mike Sherman (http://www.mikesherman.net/) has an MBA with High Distinction from Harvard Business School and Bachelors degrees, Magna Cum Laude, from both the Wharton School and College of the University of Pennsylvania. Mike began his career at Procter & Gamble, where he managed both new and established brands. Mike spent 17 years with McKinsey & Company doing marketing consulting, based in New York and Hong Kong. While there he created their Asia-Pacific marketing practice. Mike was also Global Head of Knowledge Management for Synovate (now Ipsos, a global market research firm) , where he lead efforts to improve the value clients obtain from research. He is now leading the SingTel group's efforts to identify how to better leverage its data to serve customers and drive revenues and profits. This includes both traditional customer and telco data as well as emerging digital data. Mike has spoken at many Esomar conferences and published several times in the McKinsey Quarterly on marketing issues in developing and Asian markets. He is the former Board Chair of AFS-USA, a leading high school foreign exchange organization and an avid traveler, having visited over 100 countries. Synopsis: 10 Things I Wish Someone Had Told Me About Data Analysis Mike will share 10 thoughts about different aspects of data analysis that he has learned during his more than 25 years in this field of customer data analysis. Mike has extensive experience as an end user of analysis (while at P&G as a brand manager and now at SingTel in a group role focusing on customer knowledge), as a provider of market research output (while at Synovate [now ipsos]), and as an intermediary (while leading the Asia-Pacific marketing practice at McKinsey). That experience has taught him that too often discussions of analysis focus on the tools of the trade rather than the needs of the end user. In his talk he will discuss examples of insightful output done with basic tools, instances where more sophisticated approaches do provide high impact and some, often funny, misuses of analysis. He promises that you'll leave the room with practical knowledge you can apply in your studies and work.
Views: 88560 Alex Sherman
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: 9302 Simplilearn
Watch more Advertising & Marketing 101 videos: http://www.howcast.com/videos/314251-How-to-Conduct-a-Market-Research-Survey Market research surveys help businesses understand marketing preferences and trends by gathering data from potential customers. Step 1: Decide on your research approach Decide whether you will ask quantitative or qualitative questions. Quantitative research yields hard numbers, while qualitative research looks for open-ended responses to research questions. Step 2: Decide who to survey Decide who to include in your marketing survey. Tip Select a random sample of respondents and optimize your sample size for survey accuracy Step 3: Decide what questions to ask Decide what questions you will ask. Tip Questions asked in quantitative studies should be clear and should not lead respondents toward a particular response. The order in which questions are asked can also be important. Step 4: Recruit interviewers Recruit your interviewers. Make sure they have relevant skills. Step 5: Analyze your results Conduct your survey and analyze the results. Did You Know? Marketing survey research positions have increased in the past decade due to an increase in the number of customer databases and greater global competition.
Views: 25294 Howcast
Data Analysis By using Bank Marketing data
Views: 8456 Naveen Balawat
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: 105 MS Technologies
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: 332 Murphy Research
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
Views: 1198 Research Rockstar LLC
Understanding an industry is a critical success factor being successful within it, but the importance of an industry analysis can be often overlooked. This module covers the types of industry information, common industry research scope, and introduces a few starting places to gather industry information. Visit the Small Business Accelerator www.sba.ubc.ca
Views: 1755 The University of British Columbia
This video will help participants develop a comprehensive knowledge of the various frameworks, tools and techniques pertaining to digital analytics. Participants will learn to track campaign performance, access visitor behavior, and gain the competitive intelligence required to drive continual optimization in their marketing campaigns and improve the online customer experience. #DigitalMarketing #SimplilearnDigitalMarketing #DigitalMarketingCourse #DigitalMarketingCertification #DigitalMarketingCertifiedAssociate #DigitalAnalytics 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=Analytics-Intro-upgbtXil10E&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/digital-marketing-certified-associate-training?utm_campaign=Analytics-Intro-upgbtXil10E&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: 4131 Simplilearn
This presentation describes an approach to analyze a case study - especially case studies from management discipline. Dr. Pradeep Racherla, Program Director & Associate Professor Marketing, Woxsen School of Business, elucidates different components of a case study and offers a framework to analyze a case study.
Views: 174477 Sanjay
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: 524 Demand Metric
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: 18029 Growth Tribe
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: 2489 Chicago Booth Review
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: 2677 tmreTV
How to analyze a research questionnaire data that has been collected using SPSS. The proper techniques that are based on your research objectives and hypothesis are used. The analysis of the data is done by focusing on reliability of the questionnaire. Descriptive analysis, frequencies, correlation, factor analysis and regression analysis.
Views: 31401 Knowledge Abundance
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.
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: 748367 Dr Nic's Maths and Stats
http://rilos.ru/en/markets/retail/geomatrix Big Data is quickly reshaping practices and approaches to business management, even in the least obvious industries: soon enough everyone, from the corner’s shop to the major infrastructure will analyze territory based datasets for their construction sites. Business are now leveraging data sets about geographical locations and demographical factors for a certain spatial area in order to invest more wisely and spot, assess and address opportunities overseen by competitors. Structured analysis encompassing a wide range of parameters have become available and accessible to anyone with a limited investment and investors don’t seem to be loosing the opportunity. In practice, geo enriched information are added to preexisting data sets to connect the dots and find missing links, the new information helps companies in different industries from advertisement to insurance have a deeper understanding of their target audiences and competition environment, manage risks and calculate more accurate projections. For example a business engaging in home delivery activities, could exploit overlayed, geocoded information on city urban design, streets network and traffic according to different parameters in order to effectively calculate the profitability and timing of its operations in a cost efficient manner. Such analysis would have required months of expensive studies until a few years ago and today are accessible to little businesses and enterprises thanks to big data. In a parallel way a new business owner can wisely pick the best catchment area store location for his new retail point by analyzing the time it takes to costumers to get to the shop by foot or with local transport, against the presence of competitors or potential substitutes in the same area, or monitor and benchmark the results of his current brick and mortar venues. In the same fashion a great distribution retail chain can save millions while opening a new supermarket along one major traffic junction versus a different one, pick one city to build a new shopping mall over another. Location intelligence is in fact disrupting the real estate industry as well, investors have now access to deeper information about the potential sites that they can compare and overlay with their current data for a more aware vision of a certain block, town or country. Similarly geospatial analysis and geomarketing tool help local municipalities, insitutions and policy makers form their development projects in collaboration with architects and urbanists and shape better spaces for their citizens and more attractive hubs for profitable businesses in a sustainable way. Some counties and districts, for example, successfully exploit geomarketing and spatial data to deliver better law enforcement, emergency and viability services to its citizens, who can access the data with different authorization levels to better plan their activities in a transparent way. In the future more and more local institution will implement Geographic Information Systems (GIS) solutions and geo data enriched maps with user friendly visualization wil be made available to taxpayers as the smart cites trend suggests. As with many contemporary disruptive innovations, availability and usability is crucial to the spreading of such analytical tools, modern location analysis tools consist in fact of cloud-based solutions and don’t require dedicated teams of data scientists to be operated, thus becoming a valuable asset for small investors, entrepreneurs and researchers as well as a powerful weapon in the real estate investor’s arsenal. Rilos is an international company based in Moscow developing top-notch solutions in this field , explore our latest platform GEOMATRIX and consider our expertise for your future locations.
Views: 261 Rilos Geomarketing
http://www.klariti.com/category/google-docs/ Google Trends Tutorial What’s the best kept secret at Google? Probably the Google Trends market research software. If you’re thinking of developing a new business, product, or service, Google Trends is worth examining. It’s free, very easy to use, and gives you a nice insight into how Google predicts what’s hot, and what’s not. You can also look at historical data and so forecasts. So, if you work in Marketing, Product Development or are just curious about what trends are coming around the corner, head over to www.google.com/trends and get started. In this video tutorial, we use Google Trends to: 1. Compare the amount of searches, ie popularity, of Google Docs compared to Microsoft Word 2. The rise and fall of Manchester United against Manchester City 3. Excel v Google Sheets v Spreadsheets and 4. Cloud Computing to demonstrate how popular this has become in the last five years. Other features to note in Google Trends are: Forecasting engine – the anticipated interested in a product, topic, service based on current usage patterns Data export to Excel, PDF, and CSV for number crunching and data analysis Social Media sharing – post the trending topic out to your Twitter, Facebook and other social media accounts Alerts – keep track of the trend by setting up Google Alerts every day, week, or month How do I use Google Trends? To compare my gut feeling about something against Google’s hard data. To compare different products, especially in different regions To help clients develop products. If data suggests that market has tired of product or interest appears to be flagging, we look at what’s replaced it. Summary I'm not recommending that you use Google Trends to shape your marketing plans. Far from it. But if Google is part of your marketing strategy, then it doesn’t hurt to examine how it views the world. A final tip: you can get a more rounded view of these trends by examining the topic in Google Adwords. Adwords is also free and shows the price (based on interest) of different keywords. If you see that something is about to take off, then maybe buy a block of ads while the cost is relatively low.
Views: 1958 Klariti Templates
http://www.lifecycle-performance-pros.com Learn the market research techniques the top internet marketers apply to grow successful businesses. what is market research, how to market research, company research, why market research, market study, consumer research internet marketing, internet marketing techniques, market research, internet business success, internet profits, internet success, website assessment, website growth, successful websites, marketing video tutorialhttp://www.lifecycle-performance-pros.com
Views: 34947 Holman Victor