Beschreibung Mining Your Own Business: A Primer for Executives on Understanding and Employing Data Mining and Predictive Analytics. Data Mining and Predictive Analytics - 21st Century's Most Powerful New Management Tools In this practical guide for organizational leaders and top-level executives, industry experts Jeff Deal and Gerhard Pilcher explain in clear, understandable English... What data mining and predictive analytics are Why they are such powerful management tools How and when to use them for greatest positive impact across a broad spectrum of industries Complete with solid advice and instructive case histories, it demonstrates how to harness the power of data mining and predictive analytics, while avoiding costly mistakes. Use it to gain a quick overview of the subject and as a handy resource to be referred to again and again. If you're preparing to lead or participate in a data analytics initiative, this is the one book you must read! Receiving early, strong praise from business government leaders who are using these powerful management tools to achieve dramatic goals for projects and their organizations.
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Mining Your Own Business A Primer For Executives On ~ Mining Your Own Business A Primer For Executives On Understanding And Employing Data Mining And Predictive Analytics Author: ��Doreen Schweizer Subject: ��Mining Your Own Business A Primer For Executives On Understanding And Employing Data Mining And Predictive Analytics Keywords: Mining Your Own Business A Primer For Executives On Understanding And Employing Data Mining .
Mining Your Own Business A Primer For Executives On ~ Mining Your Own Business A Primer For Executives On Understanding And Employing Data Mining And Predictive Analytics Author: gallery.ctsnet-Klaudia Frankfurter-2020-09-27-03-44-05 Subject: Mining Your Own Business A Primer For Executives On Understanding And Employing Data Mining And Predictive Analytics Keywords
Companies Are Failing in Their Efforts to Become Data-Driven ~ An eye-opening 77% of executives report that business adoption of Big Data/AI initiatives is a major challenge, up from 65% last year. Executives who responded to the survey say that the .
Predictive Analytics: What it is and why it matters / SAS ~ Predictive Analytics. SAS ® data mining software uses proven, cutting-edge algorithms designed to help you solve your biggest challenges. Learn more about data mining software from SAS . Who's using it? Any industry can use predictive analytics to reduce risks, optimize operations and increase revenue. Here are a few examples. Banking & Financial Services. The financial industry, with huge .
Data Mining: How Companies Use Data to Find Useful ~ Data mining is a process used by companies to turn raw data into useful information by using software to look for patterns in large batches of data.
How Big Data And Analytics Are Transforming Supply Chain ~ Supply chain management is a field where Big Data and analytics have obvious applications. Until recently, however, businesses have been less quick to implement big data analytics in supply chain .
How companies are using big data and analytics / McKinsey ~ Otherwise, the pure data scientist will not be able to talk to the database administrator, who will not be able to talk to the market-research person, who which will not be able to talk to the email-channel owner, for example. You need to make sound business decisions, based on analytics, that can scale.
Harnessing the potential of data in insurance / McKinsey ~ Understanding the ecosystem of analytics partners is critical to generating impact from analytics. Carriers should identify best-in-class companies that deliver impact through data, analytics, and insights across the industry value chain. Equally important is finding “white spaces” in the market where no solutions exist. The key here is to understand how to create value in these .
Data Warehousing - Concepts - Tutorialspoint ~ Data Loading − Involves sorting, summarizing, consolidating, checking integrity, and building indices and partitions. Refreshing − Involves updating from data sources to warehouse. Note − Data cleaning and data transformation are important steps in improving the quality of data and data mining results.
What is predictive analytics? - Definition from WhatIs ~ Predictive analytics is a form of advanced analytics that uses both new and historical data to forecast future activity, behavior and trends. It involves applying statistical analysis techniques, analytical queries and automated machine learning algorithms to data sets to create predictive models that place a numerical value, or score, on the .
What is Data Mining in Healthcare? ~ Like analytics and business intelligence, the term data mining can mean different things to different people. The most basic definition of data mining is the analysis of large data sets to discover patterns and use those patterns to forecast or predict the likelihood of future events. That said, not all analyses of large quantities of data constitute data mining. We generally categorize .
Business Intelligence - A Managerial Approach / Turban ~ Buch hinzufügen; Kategorien; Most Popular; Z-Library Project; Top Z-Librarians; Startseite Business Intelligence - A Managerial Approach. Business Intelligence - A Managerial Approach Turban Efraim, Sharda Ramesh. Pearson Education Inc., 2010 - 2nd Edition 293 pages. (2 pages/ sheet) This book deals with a collection of computer technologies that support managerial decision making by .
Data Mining and Predictive Analysis: Intelligence ~ Armed with this data, law enforcement executives can develop 'risk-based deployment strategies' that allow them to make informed and cost-efficient staffing decisions based on the likelihood of specific criminal activity. Knowledge of advanced statistics is not a prerequisite for using Data Mining and Predictive Analysis. The book is a starting point for those thinking about using data mining .
The 9 Best Free Online Data Science Courses In 2020 ~ The ability to extract value from data is becoming increasingly important in the job market of today. Here, we look at the 9 best data science courses that are available for free online.
What is Data Analytics? - Definition from WhatIs ~ An advanced type of data analytics include data mining, which involves sorting through large data sets to identify trends, patterns and relationships.Another type is called predictive analytics, which seeks to predict customer behavior, equipment failures and other future events. Machine learning can also be used for data analytics, using automated algorithms to churn through data sets more .
Data Mining and Predictive Analysis: Intelligence ~ In Data Mining and Predictive Analysis, Dr. Colleen McCue describes not only the possibilities for data mining to assist law enforcement professionals, but also provides real-world examples showing how data mining has identified crime trends, anticipated community hot-spots, and refined resource deployment decisions. In this book Dr. McCue describes her use of "off the shelf" software to .
edX / Free Online Courses by Harvard, MIT, & more / edX ~ Executive Education Course on Business Analytics Fundamentals for Leaders. A 4-week foundational course for those looking to be able to analyze, present findings, and make meaningful conclusions about data in a business setting.
What is Predictive Analytics ~ Predictive analytics uses many techniques from data mining, statistics, modeling, machine learning, and artificial intelligence to analyze current data to make predictions about future. It uses a number of data mining, predictive modeling and analytical techniques to bring together the management, information technology, and modeling business process to make predictions about future.
Introduction to Statistical Learning ~ One friend, graduating this spring with majors in Math and Data Analytics, cried out in anger that no other textbook had ever come close to the quality of this one. You and your team have turned one of the most technical subjects in my curriculum into an understandable and even enjoyable field to learn about. Every concept is explained simply, every equation justified, and every figure chosen .
Big data predictions: 8 analytics trends in 2020 ~ In-memory processing, predictive analytics, and data automation will be some of the hottest topics in analytics in the new year.
Businessweek - Bloomberg ~ Bloomberg Businessweek helps global leaders stay ahead with insights and in-depth analysis on the people, companies, events, and trends shaping today's complex, global economy
Big Data Analytics - What it is and why it matters / SAS ~ Big data analytics examines large amounts of data to uncover hidden patterns, correlations and other insights. With today’s technology, it’s possible to analyze your data and get answers from it almost immediately – an effort that’s slower and less efficient with more traditional business intelligence solutions.
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What is Data Integration? - SearchDataManagement ~ Data integration is the process of retrieving data from multiple source systems and combining it in such a way that it can yield consistent, comprehensive, current and correct information for business reporting and analysis. The source systems may be various types of devices and the data may be in a variety of formats.