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Search results “Data mining analysis and profiling for success”
How To Answer Verbal Reasoning Tests
 
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Get FREE INSTANT Access to Verbal Reasoning tests HERE: http://www.mypsychometrictests.com
Views: 405270 CareerVidz
How Cambridge Analytica manipulated US election through 50 million Facebook users | Explanation
 
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The data analytics Cambridge Analytica that worked with Donald Trump’s election team and the winning Brexit campaign harvested 50 million Facebook profiles of US voters and used them to build a powerful software program to predict and influence choices at the ballot box. This video showcases Cambridge Analytica explained through the history of how they manipulated Trump campaign. The man behind Cambridge Analytica and the manipulation of US election is the CEO of Cambridge Analytica Alexander Nix. He hired Christopher Wylie, the whistle-blower, who then hired Dr Kogan from Cambridge University to conduct the harvesting of Facebook profiles. Help me build the first crypto-funded channel on YouTube by donating to one of my addresses. Bitcoin: 1C7UkndgpQqjTrUkk8pY1rRpmddwHaEEuf Dash Xm4Mc5gXhcpWXKN84c7YRD4GSb1fpKFmrc Litecoin LMhiVJdFhYPejMPJE7r9ooP3nm3DrX4eBT Ethereum 0x6F8bb890E122B9914989D861444Fa492B8520575 Cambridge Analytica explained It all started with a Cambridge University academic Aleksandr Kogan. He developed an app called thisisyourdigitallife, and paid about 270,000 people to download it and take a personality test. In the process, all users agreed to have their data collected for academic purposes. Quartz claims that users did not authorize their data to be shared with other companies, especially not for commercial purposes. What’s interesting is that since the time, Facebook’s policy prohibits data sharing from researchers to commercial actors without user consent. What’s more is that this not only collected their users’ data, it also collected all of their friends data, which accumulated data of over 50 million people. And this is what kind of pissed of Facebook. Facebook is not just a social network and an advertiser, they are a data broker too. That means they collect people’s private information within and outside of Facebook to create advertising profiles on them and sell this invaluable information that only Facebook can really collect. Kogan however, managed to get all this Facebook data for free, essentially stealing profit from Facebook. At this time, Republican donor, Robert Mercer, steps in and invests $15 million in Cambridge Analytica. Trump campaign wants to use this data to target American voters and pays $6 million to make that happen. Facebook got even madder because this is something they definitely want campaigners to pay for directly to them. So after they found out about this, Facebook deleted the app and wanted to take action. But they were pushed into the corner because revealing a 50-million strong data leak would definitely cause some huge damage. Companies never talk about breaches of their cyber security. So Facebok decides to bite their tongue and politely asks Cambridge Analytica to delete all user data. Which they didn’t, and Facebook never enforced this. Publicly, Facebook denies everything. They kept lying about the scope of the leak, and Cambridge Analytica added up to the lies by saying they never had Facebook data in the first place. These are all mutually beneficial lies, because everybody seems to have been breaking rules of contracts and even law. Eventually, they threw all the blame on Kogan by saying it was his fault violating Facebook’s policy, and not the company’s fault for holding on to the user data without their consent or actually hiring Kogan to do it in the first place. Reports clearly show that Cambridge Analytica collected information about people from their Facebook profiles directly. Follow me: https://twitter.com/The_HatedOne_ https://www.bitchute.com/TheHatedOne/ https://www.reddit.com/user/The_HatedOne/ https://www.minds.com/The_HatedOne Sources: https://www.theguardian.com/news/2018/mar/17/cambridge-analytica-facebook-influence-us-election?CMP=Share_iOSApp_Other https://www.theguardian.com/media/2017/nov/10/data-firm-that-worked-for-trump-asked-wikileaks-to-share-hacked-emails https://www.nytimes.com/2018/03/17/us/politics/cambridge-analytica-trump-campaign.html https://qz.com/1231643/cambridge-analytica-illegally-obtained-data-from-50-million-facebook-users-to-run-trump-ads/ https://www.theguardian.com/technology/2017/may/07/the-great-british-brexit-robbery-hijacked-democracy https://www.theguardian.com/politics/2017/feb/26/us-billionaire-mercer-helped-back-brexit https://www.theguardian.com/technology/2017/mar/04/cambridge-analytics-data-brexit-trump https://www.theguardian.com/us-news/2015/dec/11/senator-ted-cruz-president-campaign-facebook-user-data https://www.nytimes.com/2017/03/06/us/politics/cambridge-analytica.html http://www.newsobserver.com/news/business/article205653624.html Credits: Music by Chuki Beats https://www.youtube.com/user/CHUKImusic The footage and images featured in the video were for critical analysis, commentary and parody, which are protected under the Fair Use laws of the United States Copyright act of 1976.
Views: 5963 The Hated One
Keeping it Clean:  How Data Profiling Leads to Trusted Data
 
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Using data captured in the course of providing healthcare has never been more important. The shift from fee-for-service to fee-for-value demands that healthcare organizations understand the quality and cost of the care they provide. Data-driven decisions in support of performance improvement has never been more critical. Healthcare organizations must harvest the data from across its portfolio of implemented applications and put it to use – re-purpose it – in pursuit of healthier people at optimal cost. Health care organizations have been building data warehouses of various sorts for a number of years. These initiatives typically start with high hopes for the reporting, measurement and analytics the collected data and associated technology will support. The reality, sadly, often does not meet expectations. Usually, the report or dashboard works just fine, it’s the data that isn’t as expected. Data dictionaries, organizational standards, and pick lists for data entry fields may describe the intent of a particular data field but don’t guarantee that the data captured in the source system actually reflects that intent. Metrics and the analytics supporting performance improvement require consistent, reliable data. To ensure the data landing in a data warehouse –or even in an analytic application– is as expected, an organization needs to profile and evaluate that data prior to moving it. Data profiling is the activity that examines the format and values of data and helps an organization understand exactly the state it’s in. It is the statistical analysis and assessment of the data values in source systems for consistency, uniqueness and logic. After this webinar, attendees should be able to: - Clearly define and understand data profiling - Discuss benefits of data profiling - Describe the types of projects that benefit from data profiling - Explain what types of resources are needed for a successful data profiling project
Views: 2075 HIStalk Webinars
How Target uses habits in its stores (from The Power of Habit by Charles Duhigg)
 
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The Power of Habit goes inside Procter & Gamble, Target superstores, Rick Warren's Saddleback Church, NFL locker rooms, and the nation's largest hospitals to see how implementing so-called keystone habits can earn billions and mean the difference between failure and success, life and death. http://charlesduhigg.com/
Views: 50756 Random House
BADM 1.1: Data Mining Applications
 
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This video was created by Professor Galit Shmueli and has been used as part of blended and online courses on Business Analytics using Data Mining. It is part of a series of 37 videos, all of which are available on YouTube. For more information: www.dataminingbook.com twitter.com/gshmueli facebook.com/dataminingbook Here is the complete list of the videos: • Welcome to Business Analytics Using Data Mining (BADM) • BADM 1.1: Data Mining Applications • BADM 1.2: Data Mining in a Nutshell • BADM 1.3: The Holdout Set • BADM 2.1: Data Visualization • BADM 2.2: Data Preparation • BADM 3.1: PCA Part 1 • BADM 3.2: PCA Part 2 • BADM 3.3: Dimension Reduction Approaches • BADM 4.1: Linear Regression for Descriptive Modeling Part 1 • BADM 4.2 Linear Regression for Descriptive Modeling Part 2 • BADM 4.3 Linear Regression for Prediction Part 1 • BADM 4.4 Linear Regression for Prediction Part 2 • BADM 5.1 Clustering Examples • BADM 5.2 Hierarchical Clustering Part 1 • BADM 5.3 Hierarchical Clustering Part 2 • BADM 5.4 K-Means Clustering • BADM 6.1 Classification Goals • BADM 6.2 Classification Performance Part 1: The Naive Rule • BADM 6.3 Classification Performance Part 2 • BADM 6.4 Classification Performance Part 3 • BADM 7.1 K-Nearest Neighbors • BADM 7.2 Naive Bayes • BADM 8.1 Classification and Regression Trees Part 1 • BADM 8.2 Classification and Regression Trees Part 2 • BADM 8.3 Classification and Regression Trees Part 3 • BADM 9.1 Logistic Regression for Profiling • BADM 9.2 Logistic Regression for Classification • BADM 10 Multi-Class Classification • BADM 11 Ensembles • BADM 12.1 Association Rules Part 1 • BADM 12.2 Association Rules Part 2 • Neural Networks: Part I • Neural Nets: Part II • Discriminant Analysis (Part 1) • Discriminant Analysis: Statistical Distance (Part 2) • Discriminant Analysis: Misclassification costs and over-sampling (Part 3)
Views: 1920 Galit Shmueli
Safe and Sorry – Terrorism & Mass Surveillance
 
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Sources: Terrorist surveillance program: Original press release: http://1.usa.gov/1p0lZXT Assessment of potential effect of surveillance measures if implemented before 9/11: Interview with FBI director Robert Mueller: http://bit.ly/1MvHNpB FBI investigations of immigrants: "NSEERS effect" report: http://bit.ly/1qU8Wcu Quote on aggressive racial profiling: Article "Are we safer?" by David Cole, Professor of Law at Georgetown University Law Center: http://bit.ly/1Sc8tLo Extent of NSA surveillance: NSA power point slides on collecting buddy lists, obtained by Washington Post: http://wapo.st/1cWi0SM NSA slides on prism data collection, obtained by The Guardian: http://bit.ly/1qmj46r NSA results from mass surveillance vs. target surveillance: Report from the Presidents NSA Review group 2013 (recommending to stop mass data mining because of lack of results): http://1.usa.gov/1bK0q7x Article from ProPublica: http://bit.ly/1PAusfR Analysis from the New America Foundation: http://bit.ly/1SSq8ea Data and Goliath: The Hidden Battles to Collect Your Data and Control Your World by Bruce Schneier Surveillance program didn`t stop any major attacks: Full video of court hearing with NSA director Keith B. Alexander on surveillance: http://cs.pn/1Yv1G0N Official report on results of phone surveillance policy: http://1.usa.gov/1bK0q7x Article on debunked claims: http://bit.ly/1p0n2ae Official judge ruling on matter points to no evidence: https://www.propublica.org/documents/item/902454-judge-leon-ruling#document/p62 Report by the legal affairs and human rights committee of the parliamentary assembly of the Council of Europe: http://bit.ly/1qr9aXC Boston marathon bomber was known to FBI: Official press release: http://1.usa.gov/1Vrw4vI FBI asked Apple for help: Official court order: http://bit.ly/24auFf6 Apple`s refusal to crack iPhone: Official public statement: http://apple.co/1Lt7ReW Objections against FBI demands from cryptographers: Brad Smith keynote at the RSA information security conference: http://bit.ly/1Vrwd1Y (especially relevant from minute 7 on) Statement by Information Technology Industry Council: http://bit.ly/1Q9cg7N Amicus briefs supporting Apple: http://apple.co/1OSBypU FBI changing their story about needing Apple`s help: Initial article on Washington Post: http://wapo.st/1KqHIT7 Initial story on Reutersblog: http://reut.rs/1SCl73o Update on Reuters: http://reut.rs/1NdTJae Article on ACLU about possible work-around: http://bit.ly/1OZ2nZL Blogpost on another possible workaround: http://bit.ly/1Vrwv98 NSA can turn on iPhone remotely: BBC interview with Edward Snowden: http://bit.ly/1Nab09Q Article on Wired: http://bit.ly/1hvZMNn Abuse of anti-terrorism laws: Proof of Patriot Act laws used for investigating other crimes, especially drugs: http://bit.ly/1LXBu9X „Sneak and Peak“ report: http://bit.ly/1RVGhgM Enforcement of French anti-terrorism laws: Detailed explanation of new powers given by extended laws: http://bit.ly/1OYBpSl Original law text (in french): http://bit.ly/1qraiKQ Abuse of french anti-terrorism laws: Human rights watch reports cases: http://bit.ly/1SZmwpH Climate change protesters placed under house arrest: http://reut.rs/20DYZfa Censorship in Hungary, Poland and Spain: http://bit.ly/20DZ3eS http://bit.ly/1Qgc7lX http://bit.ly/1WtmIyv http://bit.ly/1MvJ8N7 Jail time for government critics in Turkey: http://bit.ly/1oXBctf Effects of surveillance on our society: List of issues of power abuse since 9/11 by American Civil liberties union: http://bit.ly/1U6Rux4 General overview over the topic: http://bit.ly/1Pyj8uR http://bit.ly/1RVH2GF http://bit.ly/MZe4qY Safe and Sorry– Terrorism & Mass Surveillance Help us caption & translate this video! http://www.youtube.com/timedtext_cs_panel?c=UCsXVk37bltHxD1rDPwtNM8Q&tab=2
Social Media Profiles Are Against You!
 
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Hi this is Tommy from http://Tommy.ismy.name Do you feel safe? What if I told you that the information you put into your online profiles gives marketers the code to communicating with you? Does this seem scary? Depending on the marketer, the information that is in your profile will either make all the difference in the world. Or absolutely none at all. But either way, you're going to win. And here's why. Most social networks require that you create a profile. A basic profile will ask for your age, gender, location, sexual preference, religion, education, and depending on the network, income range, or where you previous and present employer. Marketing empires dominated using less information than this for years. And you and I both know that it doesn't end there. Favorite books, movies, television shows, musical interests, are not only common, they're damn near required. Friends and Family will hound you until you give a complete understanding of who you are in your social network profile. This isn't just a social network profile. This represents a very significant piece of your psychological profile. This is your media consumption profile. The most successful brands are referred to as though they are a real person, or a celebrity. This is not an accident. Every bit of data we enter into our profiles identifies another aspect of our personalities. To become well-established, a brand must have the goal of identifying and resonating with at least one aspect of our personalities. That way, when you have a need to be fulfilled, you look to one brand over another, time and again. When analyzed throughly and thoughtfully, various elements of the individual's personality can be extracted and categorized. Inputting your favorite book into your "interests" on Facebook does more than verify that you're a reader, it provides a glimpse into what holds your attention, entertains you and engages you. For example, do you prefer mystery? Romance? Comedy? Do you prefer classic literature or follow the New York Times bestseller's list? You are telling not just other individuals, but businesses and marketers the best way to capture your interest and connect with you. Brand characters are created as company emissaries in order to bring their large corporate framework down to a personal, human level. If they do their research and can integrate what they find, their message is a bajillion more times likely to stand out in your social streams.
Data Warehouse Interview Questions And Answers | Data Warehouse Tutorial | Edureka
 
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***** Data Warehousing & BI Training: https://www.edureka.co/data-warehousing-and-bi ***** This Data Warehouse Interview Questions And Answers tutorial will help you prepare for Data Warehouse interviews. Watch the entire video to get an idea of the 30 most frequently asked questions in Data Warehouse interviews. - - - - - - - - - - - - - - Check our complete Data Warehousing & Business Inelligence playlist here: https://goo.gl/DZEuZt. #DataWarehouseInterviewQuestions #DataWarehouseConcepts #DataWarehouseTutorial Subscribe to our channel to get video updates. Hit the subscribe button above. - - - - - - - - - - - - - - How it Works? 1. This is a 5 Week Instructor led Online Course, 25 hours of assignment and 10 hours of project work 2. We have a 24x7 One-on-One LIVE Technical Support to help you with any problems you might face or any clarifications you may require during the course. 3. At the end of the training you will have to undergo a 2-hour LIVE Practical Exam based on which we will provide you a Grade and a Verifiable Certificate! - - - - - - - - - - - - - - About the Course: Edureka's Data Warehousing and Business Intelligence Course, will introduce participants to create and work with leading ETL & BI tools like: 1. Talend 5.x to create, execute, monitor and schedule ETL processes. It will cover concepts around Data Replication, Migration and Integration Operations 2. Tableau 9.x for data visualization to see how easy and reliable data visualization can become for representation with dashboards 3. Data Modeling tool ERwin r9 to create a Data Warehouse or Data Mart - - - - - - - - - - - - - - Who should go for this course? The following professionals can go for this course: 1. Data warehousing enthusiasts 2. Analytics Managers 3. Data Modelers 4. ETL Developers and BI Developers - - - - - - - - - - - - - - Why learn Data Warehousing and Business Intelligence? All the successful companies have been investing large sums of money in business intelligence and data warehousing tools and technologies. Up-to-date, accurate and integrated information about their supply chain, products and customers are critical for their success. With the advent of Mobile, Social and Cloud platform, today's business intelligence tools have evolved and can be categorized into five areas, including databases, extraction transformation and load (ETL) tools, data quality tools, reporting tools and statistical analysis tools. This course will provide a strong foundation around Data Warehousing and Business Intelligence fundamentals and sophisticated tools like Talend, Tableau and ERwin. - - - - - - - - - - - - - - Please write back to us at [email protected] or call us at +91 90660 20866 for more information. Facebook: https://www.facebook.com/edurekaIN/ Twitter: https://twitter.com/edurekain LinkedIn: https://www.linkedin.com/company/edureka - - - - - - - - - - - - - - Customer Review: Kanishk says, "Underwent Mastering in DW-BI Course. The training material and trainer are up to the mark to get yourself acquainted to the new technology. Very helpful support service from Edureka."
Views: 58849 edureka!
Customer Insights Via Data Mining
 
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Statistical Consultants Ltd is a New Zealand based company that provides a wide range of statistical services to the private and public sectors, locally and internationally. http://www.statisticalconsultants.co.nz/
Actionable Insights With Predictive Analytics For Marketers
 
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Traditional marketing analytics or scoreboards are essential for evaluating the success or failure of past marketing activities. But today's marketers can leverage advanced marketing techniques like predictive modeling for customer behavior, predictive lead scoring, and all sorts of strategies based on predictive analytics insights. Predictive techniques can make your marketing investment much more efficient, but regularly validating results remains critical. Join our experts from NICE, Looker and RedPoint Global and find out how to get better marketing results with predictive analytics. In this webinar, you will learn: • Why your predictions can only be as good as your data, and how to fix imperfect data • How to structure your customer data for optimal predictive power • How the concept of Zero-Segment Marketing can overcome the challenges associated with the traditional approach to customer segmentation • How predictive analytics can fuel the always-on dynamic customer journey and power real-time adaptive marketing
Views: 55 Looker
Facebook knows who you are going to marry. (Big Data & Pattern Recognition)
 
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Facebook has been active for over 12 years and has a billion users. Hidden in this vast amount of data lies the answer to the question, who will I marry. By observing millions of relationships, Facebook is in the best position to analyse what makes marriages work and what causes divorce. Facebook also knows what makes makes for a perfect couple. Data privacy however must be considered in cases like this. Would you let actuaries use your Facebook information to calculate the success probability of your relationship?
What To Know: Social Media Profiling
 
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Dr. Peter Rosen gives students some advice on what to have on their social media sites, as well as other advice concern their profiles.
Views: 204 UECareerServices
Customer Segmentation
 
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By using advanced analytics to create your segmentation strategies, you can: - Identify your most proitable customers - Focus your marketing on segments most likely to purchase - Discover potential niche markets - Develop or improve products to meet customer needs For more information visit http://www.angoss.com/predictive-analytics-software/applications/customer-analytics/
Views: 15523 AngossSoftware
Data Quality: The importance of contextual meaning
 
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A chat with Chief Data Experts from Pitney Bowes and Dun & Bradstreet on the data differentiator and the power of an enterprise data strategy. This video short focuses on the Data Quality.
Views: 83 Pitney Bowes
The human insights missing from big data | Tricia Wang
 
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Why do so many companies make bad decisions, even with access to unprecedented amounts of data? With stories from Nokia to Netflix to the oracles of ancient Greece, Tricia Wang demystifies big data and identifies its pitfalls, suggesting that we focus instead on "thick data" -- precious, unquantifiable insights from actual people -- to make the right business decisions and thrive in the unknown. Check out more TED talks: http://www.ted.com The TED Talks channel features the best talks and performances from the TED Conference, where the world's leading thinkers and doers give the talk of their lives in 18 minutes (or less). Look for talks on Technology, Entertainment and Design -- plus science, business, global issues, the arts and more. Follow TED on Twitter: http://www.twitter.com/TEDTalks Like TED on Facebook: https://www.facebook.com/TED Subscribe to our channel: https://www.youtube.com/TED
Views: 82150 TED
Stanford Webinar - Using Electronic Health Records for Better Care
 
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In the era of Electronic Health Records, it’s possible to examine the decision outcomes made by doctors and identify patterns of care by generating evidence from the collective experience of patients. In this webinar, Stanford Assistant Professor Nigam Shah will show you methods that transform unstructured patient notes into a de-identified, temporally ordered, patient-feature matrix. Four use-cases will be examined, which use the resulting de-identified data matrix to illustrate the learning of practice-based evidence from unstructured data in electronic medical records.. This webinar will teach you the practical value of: •Monitoring for adverse drug events •Identifying drug-drug interactions •Profiling the safety of off-label drug usage •Generating practice-based evidence for difficult-to-test clinical hypotheses. Presented by the Stanford Center for Professional Development (http://scpd.stanford.edu)
Views: 9032 stanfordonline
Data Discovery Platform – Pertinent Insights, Faster Decisions
 
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Bridge the insights gap with app driven approach and get contextual insights needed to differentiate and drive the business in a hyper-competitive and digitally driven world.
Views: 1641 Wiprovideos
Bottlenose - Smart Data Discovery
 
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Bottlenose powers decisioning behind the world's most successful enterprises. The combination of our powerful tech and stellar team provides you with solutions that give you a full picture of what is going on in and around your business in real time. Keep updated on artificial intelligence products, services and technologies at https://www.welcome.ai
Views: 59 Welcome.AI
Careers at comScore
 
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Interviews with comScore employees and senior management. Hear them describe their jobs and reasons for building their career at comScore. For more information visit http://www.comscore.com/careers
Views: 8594 comScore
Beverly Eakman - Behavioral Profiling: The Dark Side of the Information Age
 
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Progress has always been marked by the new and different ideas of individuals. Consider Thomas Edison and the light bulb, or the Wright Brothers at Kitty Hawk. One cannot consider these landmarks of human ingenuity apart from the eras in which they occurred—eras which were free from such things as "Psych-Graphics," "Behavioral Profiling" and "Data Mining." The advent of invasive data gathering is an insidious threat to progress and a worthwhile future. Psychological questionnaires given to schoolchildren often include questions which are designed to identify so-called "mental illness" based on a child's answers to questions related to such topics as social situations and even one's religious affiliations. Former editor-in-chief of NASA's newspaper at the Johnson Space Center, author and educator Beverly Eakman explains how this information gathering is affecting our liberty and privacy, our progress as a society and what you can do to protect yourself and your family in this 36-minute show. Watchdog Radio is brought to you by the Citizens Commission on Human Rights (CCHR), a mental health watchdog and non-profit organization. CCHR investigates and exposes psychiatric violations of human rights and works shoulder to shoulder with like-minded groups and individuals who share a common purpose to clean up the field of mental health. Citizens Commission on Human Rights http://www.cchr.org/
Views: 1045 VisionLiberty
Webinar: How to Create a Business Focused Data Quality Assessment
 
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Are you struggling to create a Data Quality Assessment that motivates your colleagues to take action? In this webinar, Dylan Jones (Editor of Data Quality Pro) gives you a step-by-step guide on how to create a simple and engaging Data Quality Assessment designed to drive success. https://www.edq.com/uk/resources/papers/how-to-create-a-business-focussed-data-quality-assessment
Views: 652 DataQualityUK
Data Wrangling for Faster, More Accurate Analysis
 
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Learn about Data Discovery: https://www.trifacta.com/wrangle-data/data-discovery Data discovery is a critical step when working with complicated data. The process of data discovery allows you to gain some initial understanding as to what is actually in the dataset and how it can be leveraged for analytics and business insights. There is an explosion of data being created in the world today and it’s no secret that the organizations that are able to drive value and innovation from this data will succeed. However, companies large and small struggle to analyze and make use of the complexity and scale of today’s data. In fact, the process of converting raw data into a format that is usable for analysis takes up to 80% of any analysis process. Successful analysis relies upon accurate, well-structured data that has been formatted for the specific needs of the task at hand. Data wrangling is the process you must undergo to transition raw data source inputs into prepared data set outputs to be utilized in your analysis.
Views: 912 Trifacta
Customer Segmentation And Building Personas For Content Marketing
 
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A 30 minute mini-course in helping to create the business case for content marketing, by building segmented personas, and the benefits it can provide in measuring your success.
Views: 1732 Robert Rose
TDWI Business Intelligence Principles and Practices: Charting the Course to BI Success
 
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Visit http://tdwi.org for more information on business intelligence and data warehousing training and education. Learn the basics of business intelligence from end to end with industry expert Jonathan Geiger. The BI life cycle spans a continuum that begins with large amounts of disparate data and stretches to encompass people, technology, information, analysis, and decision making. The benefits of BI are substantial: new business capabilities for insight, forecasting, planning, agility, and strategy execution. Realizing benefits is challenging. With many moving parts—infrastructure, technology, data, integration, analytics, applications, metrics, reports, dashboards, scorecards—putting the pieces together in the most effective way is difficult. Learn the basics of BI from end to end, with special attention on two of the most important factors for BI success: planning and collaboration. You are most able to chart a course for BI success when teams and stakeholders share common concepts, use consistent terminology, and contribute collectively to the BI vision. You Will Learn Meaningful and actionable definitions of BI Effective ways to deliver BI: Web, mobile, desktop, etc. Common kinds of BI reporting: ad hoc, published, enterprise, operational Performance management principles: dashboards, scorecards, KPIs Business analyst principles: OLAP, analytic modeling, data visualization Advanced analytics concepts for data mining, predictive analytics, and text analytics Data management practices: profiling, cleansing, quality management Data integration practices: consolidation, virtualization, data warehousing Geared To Anyone with a role in BI/DW programs who needs to understand the concepts and the full life cycle of BI; BI/DW managers and leaders seeking to increase the value and business impact of a BI program; business and technical people who need to work together to implement BI; teams that need to develop a common base of concepts and terminology for BI
Views: 325 TDWI
Amazing retail insights from 8 million Facebook users (Part 1/3)
 
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http://summit.co.uk Part 1 of 3. Learn how highly accurate personality profiles, generated from Facebook data, can be used to create powerful consumer insight. Michal Kosinski, Director of Operations at Cambridge University Psychometrics Centre, introduces digital profiling using online personality tests. Recorded at the eCommerce Futures Conference on Weds 12 June, 2013. In Part 2, Michal explains how personality profiles of individuals and groups can be used by retailers to target customers with much greater accuracy, and in Part 3 he expands on the different ways in which men, women and groups of individuals can be targeted by retailers according to powerful psychometric analysis. Presentation Highlights 00'21": Introduction to Michal Kosinski: http://bit.ly/1ayW26J 01'35": Car salesmen psychology: http://bit.ly/19X8i26 04'10": The digital footprint: http://bit.ly/1c2wi0y 06'35": Creating psychometric profiles: http://bit.ly/106stFo 08'41": Using psychometrics for targeting: http://bit.ly/1ayHCU1 11'11": Case study: http://bit.ly/1ayHXpR http://www.michalkosinski.com/ http://www.psychometrics.cam.ac.uk/ http://www.summit.co.uk/video/
Views: 4940 summituk
MineExcellence - Operational Analytics Platform
 
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MineExcellences advanced operational analytics combines data from different processes of mining value chain such as drilling, crushing, hauling, explosive systems, GPS devices, face profiler etc. Historical Analysis: Ability to overview historical data, end-to-end solutions offer unique capabilities for the development of analytics such as cost analysis, production to mill performance, fragmentation, designed vs actual blast, redrill analysis etc. Accessible Anywhere, Anytime: Mobility and Web-based platform make them accessible anywhere anytime. Optimization: Ability to do blast optimization and use collected data parameters for future blast design. Perform QA / QC: Ability to perform QA/QC and audit through collected data. Trend Analysis (Post and Predictive Analytics): Ability to perform advanced searching and sorting to find operational activities with desired parameters. Quantification of operational activities: Ability to define tolerance limits for various parameters to categorize good, average and bad blasts. Mine to Mill Optimization: Management will have real-time data visualization of blasts performed in fields and view mine to mill performance without site travels. Financial Impacts: Allows management to fully understand operations performance and the direct impact it has on financial results.
Views: 180 Mine Excellence
M2009 - Net Lift Prediction Models
 
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Kim Larsen of Charles Schwab discusses how to maximize the impact of marketing campaigns and what data miners can learn from presidential campaigns. To view more highlights from the M2009 Data Mining Conference, visit http://www.sas.com/events/dmconf/m2009/index.html
Views: 5055 SAS Software
Using Segmentation and Predictive Analytics to Combat Attrition
 
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Analytics 2012 speaker, David Liebskind, describes how your business can implement segmentation and predictive models to construct a customer retention framework. He shares case studies that highlight the impact of these tools.
Views: 30831 SAS Software
CRM Process:  Analysis & Reports in update CRM (English)
 
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An essential aspect of CRM is the evaluation of available information. The Analysis and Reports offer a series of different possibilities for displaying data from update.seven. - Easy creation and execution of reports for every user - Evaluation possibilities for all data in the CRM system - Easy exporting of data
Views: 848 updateCRM
Analytics in Profiling Winning NBA Teams
 
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Brooke Fortson interviews Analytics 2012 poster winner Michelle Mancenido of Arizona State University on her use of analytics to determine what it takes to be a winning professional basketball team. To learn more about Analytics 2012, visit http://www.sas.com/analyticsseries/us
Views: 1598 SAS Software
My Freelancing Career Summary and Introduction
 
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Hello! My Name is Rahul Gupta and I am a Social Media and Online Marketing Consultant having more than 8 Years of Experience in all Types of work Including but not limited to: # Social Media Marketing # Online Branding/Marketing # Internet Marketing # Market Research # Internet Research # Lead Generation # Email Marketing # Virtual Assistance # Web Design/Development # Graphic Design # SEO/SMO/SEM # Press Release # Reputation Management # Data Processing # Competitive Analysis # Data-Mining # Internet Scraping and Web Profiling Etc. I am Punctual, Reliable and Consistent and have the ability to work quickly and with accuracy. Available to work with you in your given timings and deliver reports on the time. My Sincerity, Hardwork and Dedication towards every Project (Small or Big) has been the main formula of my Success. I Strive towards your business’s success and work until you are happy with the final results and the end Goal is met. Having a stake in the quality services that i provide to all my clients, My success and reputation depends on it. Skill, Dedication, Experience, Sincerity and Desire has brought me into this Cloud and i can provide my clients with total convenience, responsiveness and reliability of my services. I also invite you all to take some time and go through my Portfolio, Skills & Feedback of the work that i have done throughout my career. Be rest assured that your jobs and projects are at the safest hands! 100% Job Fees will be refunded if RESULTS ARE UNSATISFACTORY! Looking forward to get a chance to work with you very soon (: Warm Regards, Rahul Gupta A Passionate Upworker! My Upwork Profile: https://www.upwork.com/freelancers/~010fa66c1ff5cd37b6
Views: 22 Rahul Gupta
HOW TO ANALYZE PEOPLE ON SIGHT - FULL AudioBook - Human Analysis, Psychology, Body Language
 
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How To Analyze People On Sight - FULL Audio Book - by Elsie Lincoln Benedict & Ralph Pain Benedict - Human Analysis, Psychology, Body Language - ► SUPPORT GREATEST AUDIOBOOKS: - Try Audible and Get 2 Free Audiobooks: https://amzn.to/2Iu08SE (Affiliate Link) - Buy in our store: https://www.amazon.com/shop/GreatestAudioBooks (Affiliate Link) (Greatest AudioBooks earns money off of the above links.) In this popular American book from the 1920s, "self-help" author Elsie Lincoln Benedict makes pseudo-scientific claims of Human Analysis, proposing that all humans fit into specific five sub-types. Supposedly based on evolutionary theory, it is claimed that distinctive traits can be foretold through analysis of outward appearance. While not considered to be a serious work by the scientific community, "How To Analyze People On Sight" makes for an entertaining read. . ► Follow Us On TWITTER: https://www.twitter.com/GAudioBooks ► Friend Us On FACEBOOK: http://www.Facebook.com/GreatestAudioBooks ► For FREE SPECIAL AUDIOBOOK OFFERS & MORE: http://www.GreatestAudioBooks.com ► SUBSCRIBE to Greatest Audio Books: http://www.youtube.com/GreatestAudioBooks ► BUY T-SHIRTS & MORE: http://bit.ly/1akteBP ► Visit our WEBSITE: http://www.GreatestAudioBooks.com READ along by clicking (CC) for Caption Transcript LISTEN to the entire book for free! Chapter and Chapter & START TIMES: 01 - Front matter -- - 00:00 02 - Human Analysis - 04:24 03 - Chapter 1, part 1 The Alimentive Type - 46:00 04 - Chapter 1, part 2 The Alimentive Type - 1:08:20 05 - Chapter 2, part 1 The Thoracic Type - 1:38:44 06 - Chapter 2, part 2 The Thoracic Type - 2:10:52 07 - Chapter 3, part 1 The Muscular type - 2:39:24 08 - Chapter 3, part 2 The Muscular type - 3:00:01 09 - Chapter 4, part 1 The Osseous Type - 3:22:01 10 - Chapter 4, part 2 The Osseous Type - 3:43:50 11 - Chapter 5, part 1 The Cerebral Type - 4:06:11 12 - Chapter 5, part 2 The Cerebral Type - 4:27:09 13 - Chapter 6, part 1 Types That Should and Should Not Marry Each Other - 4:53:15 14 - Chapter 6, part 2 Types That Should and Should Not Marry Each Other - 5:17:29 15 - Chapter 7, part 1 Vocations For Each Type - 5:48:43 16 - Chapter 7, part 2 Vocations For Each Type - 6:15:29 #audiobook #audiobooks #freeaudiobooks #greatestaudiobooks #book #books #free #top #best #psychology # This video: Copyright 2012. Greatest Audio Books. All Rights Reserved. Audio content is a Librivox recording. All Librivox recordings are in the public domain. For more information or to volunteer visit librivox.org. Disclaimer: As an Amazon Associate we earn from qualifying purchases. Your purchases through Amazon affiliate links generate revenue for this channel. Thank you for your support.
Views: 2008818 Greatest AudioBooks
Caliper Analytics Overview
 
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Caliper Analytics can help meet the demand from business leaders and HR leaders for timely and effective answers to core and strategic workforce questions you face in your organization. Caliper Analytics is the first workforce analytics solution to include scientifically valid and reliable personality data. Powered by the Caliper Profile, Caliper Analytics delivers clear, compelling, at-a-glance dashboards that are designed to answer critical questions from hiring through to development and workforce planning. Calipers People Analytics solution provides an interactive visualization of existing Caliper Profile data that contributes to telling the story behind the data, helping leaders discover insights that can lead to the maximization of talent across an organization. The easy-to-use dashboard will enable you to quickly unlock your company’s Caliper results so that you can identify high-potential candidates and individuals for special team assignments; predict team success; and make data-driven hiring and talent management decisions as your needs change. By mining your existing Caliper data, you can assess candidates and identify potential top performers immediately and in a cost-effective manner.
Segment Gamers Through Clustering Gameplay Behaviors
 
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The authors used JMP multivariate/modeling tools such as principal components analysis, clustering and partitioning to mine gameplay data and gamer attributes of millions of Play Station (PS) gamers. Gamer segments resulted from data mining, and analysis aided success of PS4 launch and user engagement. Read the paper by Peter Liu and Laura Higgins given at 2014 JMP Discovery Summit. https://community.jmp.com/docs/DOC-6696
Views: 145 JMPSoftwareFromSAS
Big Data 2.0 Market Basket Analysis Blueprint
 
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The Actian Big Data 2.0 Market Basket Analysis Blueprint uncovers hidden profitability by using predictive analytics to find optimal product groupings, traffic drivers and purchase triggers that increase retail revenue. Use this blueprint to create new pricing models, identify cross and up-sell opportunities and design successful promotions. To learn more about the Actian Analytics Blueprints: https://www.youtube.com/watch?v=IM-AiQii2BQ&feature=youtu.be&rel=0
Views: 1853 Actian Corporation
Meet RTL - Social Media Marketing (roy@rtl.ph) (digital market research & social listening)
 
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www.rtl.ph [email protected] Hi we’re RTL Philippines! We’re a digital research company. Our mission is to make information simple, useful, and actionable for high-level decision-makers. RTL believes that business is more about shared beliefs – not profits – and relationships are as important as results. We are your partners in the expanding and chaotic digital space. We listen for you in real-time. We sift, analyze and translate big data into simple, actionable information. We help you understand so you can make better decisions. RTL is a culture-centric organization with technological capacities focused on innovation, growth and simplified solutions. Solutions We Provide: 1. Market Responsiveness 2. Location Specific Research 3. Brand Image Monitoring 4. Competitive Study 5. 3rd Party Digital Audit 6. Trends Monitoring 7. Issues Tracking 8. Digital Ethnography 9. Campaign Specific Study 10. Bottom - Up Start Solution 11. Market Impact Study 12. Location Specific Engagement What we can do for you: 1. Base Research 2. Sentiment Analysis 3. Crisis Management 4. Content Study and Consultation 5. Profiling and Behavioral Study 6. Customer Service Audit 7. Campaigns and Promo Evaluation 8. Ad Hoc Research Listening is a vital part of social media marketing where you monitor conversations online related to your business. These conversations are already happening online, and all you need to do is find them. if you are the Modern Dave (King/CEO/VP/DIRECTOR/DIVISION HEAD) don't hesitate to contact us at [email protected] we will be more than happy to help you! Key Words: Social Media, Social listening, Social Media Marketing, Social Marketing, Social Media Coaching, Social Media consultancy, Social Media Advertising, Research, Online Research, Online Business, Online Social Media, Online Social Networking, Online Business Optimization, Online Marketing, Online Strategy, Online Advertising, Online Coaching, Market Research, Content Marketing, Content, Content Marketing Specialist, Content Marketing Strategy, Content analysis, Data Management, Data Analysis, Data Mining, Crisis Management, Research and Development, real time monitoring, monitoring, social listening examples, social listening strategy, social listening hootsuite, social listening software, social listening Microsoft, social listening wiki, social listening companies, social listening platforms, examples of social media, content marketing examples, types of content marketing, sentiment analysis tools, sentiment analysis online, sentiment analysis example, daily sentiment analysis, sentiment analysis social media, Digital Research, Digital marketing.
PARM Social Media Investigation
 
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PENTest Socio-Technical Test Scanner Intelligent Agent Social Media Tools Media Mining System Video Recognition and Analysis PoliWal PARM’s Deep Reconnaissance Data Visualization PARM’s Social Media Monitoring Tools (SMMT), allows users to conveniently monitor, filter, and consolidate the content generated by different networks of individuals across their social media accounts. These SMMT lets a customer build custom networks populated by the users it wants to monitor and use a centralized dashboard to easily review their social media activity on a wide range of platforms such as Twitter, Facebook, and Linkedin. In addition to real time monitoring and keyword based alerts, these SMMT can also provide detailed weekly/monthly reports tailored to a client’s needs, allowing them to get all of the information they want from their networks.
Views: 32 Benoit Grenier
LinkedIn Data Scientist Talks Statistics
 
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Watch Deepak Kumar explain how important statistics--the science of learning from data--is to his job at LinkedIn. To learn more about statistics education and careers, visit www.thisisstatistics.org. Follow us & learn more! Twitter: http://www.twitter.com/ThisisStats Facebook: http://www.facebook.com/thisisstats Special creative commons image thanks to: Rainbox of Credit — FrankieLeon
Views: 11264 This is Statistics
Large-Scale Cancer Genomics Data Analysis - David Haussler
 
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November 17-18, 2011 - The Cancer Genome Atlas' 1st Annual Scientific Symposium More: http://www.genome.gov/27546242
Predictive Modeling for Student Retention
 
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Demonstrates how the Rapid Insight Software Suite can be used to predict individual and collective retention probabilities. Gather disparate information into a single analytic dataset, perform highly automated statistical modeling with as few a six mouse clicks and the apply the model to current and future students in an automated process.
Views: 3602 Rapid Insight Inc.
SAS ExploreData
 
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How to explore data using SAS Enterprise Miner?
Views: 859 Dothang Truong
Real-Time Analytics On Data Streams - A New Era For Big Data And IoT - Jeremy Hillier
 
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What incentive do companies have to invest in large and complex Big Data architectures where installation, management and infrastructure costs detract from the ROI? Many sectors like energy, manufacturing, automotive, financial, etc. demand immediate responses to optimise their businesses and deliver on services promised. Analysing data streams in real-time becomes a requirement for companies to become successful with IoT projects, as data generated moves at high velocity, often at scale. Already, real-time is no longer fast enough, as companies are looking to achieve predictive insights. Questions: • How you can combine your streaming analytics, big data storage and computations to create value for your clients. • How the combination of the previous ones can help you achieve ROI #HyperightDataTalks is a video podcast of best presentations, discussions and interviews with some of the most innovative minds, enterprise practitioners, technology and service providers, start-ups and academics, working with Data Science, Data Management, Big Data, Analytics, AI, IOT and much more. All presentations are taken from Hyperight´s Data summits and now available for you. For more interviews, audio podcast and videos from some of the best presentations from our Data Summits, please visit http://www.hyperight.com Presentation recorded during: Data Innovation Summit 2017 - http://www.datainnovationsummit.com/ Follow us on twitter: https://Twitter.com/datasweden More information about Hyperight: http://www.hyperight.com/ Subscribe to our channel: https://www.youtube.com/channel/UCCLYBm1MHI3jIvZo9YKPq-g
Views: 160 Hyperight AB
The intersection of predictive analytics theory and its application to business (Preview)
 
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To view the complete interview, visit http://www.jmp.com/en_us/events/ondemand/analytically-speaking/analytically-speaking-bart-baesens.html Bart Baesens professor, consultant and author talks about communicating analytic concepts, data visualization and sharing results across an organization. Key discussion points: -The qualities of a successful data analyst. -Using visualization to understand concepts – and also results – in data. -Migrating analysts from spreadsheets to better analysis and visualization tools. -The importance of value survival analysis. -Scaling analytics efforts.
Views: 597 JMPSoftwareFromSAS
TIMi 2: developping simple churn prevention models
 
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TIMi predictive datamining software: introduction to churn models with the standard TIMi interface
Views: 977 MegaKranf
Predictive Perspectives
 
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Views: 1236 SPSSibm
A Data mining approach to customer segment based on customer value ASP.NET with C# Project
 
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Project Link : http://kasanpro.com/p/asp-net-with-c-sharp/a-data-mining-approach-customer-segment-based-customer-project , Title :A Data mining approach to customer segment based on customer value
Views: 437 kasanpro