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Produkte zum Begriff Predictive Text:
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Predictive Analytics: Microsoft Excel
Excel predictive analytics for serious data crunchers! The movie Moneyball made predictive analytics famous: Now you can apply the same techniques to help your business win. You don’t need multimillion-dollar software: All the tools you need are available in Microsoft Excel, and all the knowledge and skills are right here, in this book! Microsoft Excel MVP Conrad Carlberg shows you how to use Excel predictive analytics to solve real-world problems in areas ranging from sales and marketing to operations. Carlberg offers unprecedented insight into building powerful, credible, and reliable forecasts, showing how to gain deep insights from Excel that would be difficult to uncover with costly tools such as SAS or SPSS. You’ll get an extensive collection of downloadable Excel workbooks you can easily adapt to your own unique requirements, plus VBA code—much of it open-source—to streamline several of this book’s most complex techniques. Step by step, you’ll build on Excel skills you already have, learning advanced techniques that can help you increase revenue, reduce costs, and improve productivity. By mastering predictive analytics, you’ll gain a powerful competitive advantage for your company and yourself. • Learn both the “how” and “why” of using data to make better tactical decisions • Choose the right analytics technique for each problem • Use Excel to capture live real-time data from diverse sources, including third-party websites • Use logistic regression to predict behaviors such as “will buy” versus “won’t buy” • Distinguish random data bounces from real, fundamental changes • Forecast time series with smoothing and regression • Construct more accurate predictions by using Solver to find maximum likelihood estimates • Manage huge numbers of variables and enormous datasets with principal components analysis and Varimax factor rotation • Apply ARIMA (Box-Jenkins) techniques to build better forecasts and understand their meaning
Preis: 18.18 € | Versand*: 0 € -
Predictive Analytics: Microsoft Excel
Excel predictive analytics for serious data crunchers! The movie Moneyball made predictive analytics famous: Now you can apply the same techniques to help your business win. You don’t need multimillion-dollar software: All the tools you need are available in Microsoft Excel, and all the knowledge and skills are right here, in this book! Microsoft Excel MVP Conrad Carlberg shows you how to use Excel predictive analytics to solve real-world problems in areas ranging from sales and marketing to operations. Carlberg offers unprecedented insight into building powerful, credible, and reliable forecasts, showing how to gain deep insights from Excel that would be difficult to uncover with costly tools such as SAS or SPSS. You’ll get an extensive collection of downloadable Excel workbooks you can easily adapt to your own unique requirements, plus VBA code—much of it open-source—to streamline several of this book’s most complex techniques. Step by step, you’ll build on Excel skills you already have, learning advanced techniques that can help you increase revenue, reduce costs, and improve productivity. By mastering predictive analytics, you’ll gain a powerful competitive advantage for your company and yourself. • Learn both the “how” and “why” of using data to make better tactical decisions • Choose the right analytics technique for each problem • Use Excel to capture live real-time data from diverse sources, including third-party websites • Use logistic regression to predict behaviors such as “will buy” versus “won’t buy” • Distinguish random data bounces from real, fundamental changes • Forecast time series with smoothing and regression • Construct more accurate predictions by using Solver to find maximum likelihood estimates • Manage huge numbers of variables and enormous datasets with principal components analysis and Varimax factor rotation • Apply ARIMA (Box-Jenkins) techniques to build better forecasts and understand their meaning
Preis: 24.6 € | Versand*: 0 € -
More Predictive Analytics: Microsoft Excel
Accurate, practical Excel predictive analysis: powerful smoothing techniques for serious data crunchers! In More Predictive Analytics, Microsoft Excel® MVP Conrad Carlberg shows how to use intuitive smoothing techniques to make remarkably accurate predictions. You won’t have to write a line of code--all you need is Excel and this all-new, crystal-clear tutorial. Carlberg goes beyond his highly-praised Predictive Analytics, introducing proven methods for creating more specific, actionable forecasts. You’ll learn how to predict what customers will spend on a given product next year… project how many patients your hospital will admit next quarter… tease out the effects of seasonality (or patterns that recur over a day, year, or any other period)… distinguish real trends from mere “noise.” Drawing on more than 20 years of experience, Carlberg helps you master powerful techniques such as autocorrelation, differencing, Holt-Winters, backcasting, polynomial regression, exponential smoothing, and multiplicative modeling. Step by step, you’ll learn how to make the most of built-in Excel tools to gain far deeper insights from your data. To help you get better results faster, Carlberg provides downloadable Excel workbooks you can easily adapt for your own projects. If you’re ready to make better forecasts for better decision-making, you’re ready for More Predictive Analytics. Discover when and how to use smoothing instead of regressionTest your data for trends and seasonalityCompare sets of observations with the autocorrelation functionAnalyze trended time series with Excel’s Solver and Analysis ToolPakUse Holt's linear exponential smoothing to forecast the next level and trend, and extend forecasts further into the futureInitialize your forecasts with a solid baselineImprove your initial forecasts with backcasting and optimizationFully reflect simple or complex seasonal patterns in your forecastsAccount for sudden, unexpected changes in trends, from fads to new viral infectionsUse range names to control complex forecasting models more easilyCompare additive and multiplicative models, and use the right model for each task
Preis: 18.18 € | Versand*: 0 € -
More Predictive Analytics: Microsoft Excel
Accurate, practical Excel predictive analysis: powerful smoothing techniques for serious data crunchers! In More Predictive Analytics, Microsoft Excel® MVP Conrad Carlberg shows how to use intuitive smoothing techniques to make remarkably accurate predictions. You won’t have to write a line of code--all you need is Excel and this all-new, crystal-clear tutorial. Carlberg goes beyond his highly-praised Predictive Analytics, introducing proven methods for creating more specific, actionable forecasts. You’ll learn how to predict what customers will spend on a given product next year… project how many patients your hospital will admit next quarter… tease out the effects of seasonality (or patterns that recur over a day, year, or any other period)… distinguish real trends from mere “noise.” Drawing on more than 20 years of experience, Carlberg helps you master powerful techniques such as autocorrelation, differencing, Holt-Winters, backcasting, polynomial regression, exponential smoothing, and multiplicative modeling. Step by step, you’ll learn how to make the most of built-in Excel tools to gain far deeper insights from your data. To help you get better results faster, Carlberg provides downloadable Excel workbooks you can easily adapt for your own projects. If you’re ready to make better forecasts for better decision-making, you’re ready for More Predictive Analytics. Discover when and how to use smoothing instead of regressionTest your data for trends and seasonalityCompare sets of observations with the autocorrelation functionAnalyze trended time series with Excel’s Solver and Analysis ToolPakUse Holt's linear exponential smoothing to forecast the next level and trend, and extend forecasts further into the futureInitialize your forecasts with a solid baselineImprove your initial forecasts with backcasting and optimizationFully reflect simple or complex seasonal patterns in your forecastsAccount for sudden, unexpected changes in trends, from fads to new viral infectionsUse range names to control complex forecasting models more easilyCompare additive and multiplicative models, and use the right model for each task
Preis: 24.6 € | Versand*: 0 €
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Wie werden Predictive Analytics-Algorithmen verwendet, um zukünftige Ereignisse und Trends vorherzusagen? Welche Vorteile bietet die Anwendung von Predictive Analytics in verschiedenen Branchen und Geschäftsbereichen?
Predictive Analytics-Algorithmen analysieren historische Daten, um Muster zu identifizieren und zukünftige Ereignisse vorherzusagen. Diese Algorithmen werden in verschiedenen Branchen wie Marketing, Finanzen und Gesundheitswesen eingesetzt, um fundierte Entscheidungen zu treffen und Wettbewerbsvorteile zu erlangen. Die Anwendung von Predictive Analytics ermöglicht eine bessere Kundenbindung, Risikominimierung und Effizienzsteigerung in Unternehmen.
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Was sind die potenziellen Anwendungen von Predictive Analytics in der Unternehmensführung?
Predictive Analytics kann in der Unternehmensführung eingesetzt werden, um zukünftige Trends und Entwicklungen vorherzusagen, Risiken zu identifizieren und fundierte Entscheidungen zu treffen. Es kann auch zur Optimierung von Marketingstrategien, Personalmanagement und operativen Prozessen verwendet werden. Durch die Nutzung von Predictive Analytics können Unternehmen ihre Effizienz steigern, Kosten senken und Wettbewerbsvorteile erzielen.
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Was sind die grundlegenden Anwendungsmöglichkeiten von Predictive Analytics in verschiedenen Branchen?
Predictive Analytics wird in verschiedenen Branchen eingesetzt, um zukünftige Trends und Verhaltensweisen vorherzusagen. In der Finanzbranche wird es genutzt, um Risiken zu minimieren und Investitionsentscheidungen zu optimieren. Im Einzelhandel hilft es bei der Bestandsplanung und der Personalisierung von Marketingkampagnen.
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Was sind die wichtigsten Anwendungen von Predictive Analytics in verschiedenen Branchen?
Die wichtigsten Anwendungen von Predictive Analytics in verschiedenen Branchen sind die Vorhersage von Kundenverhalten und -präferenzen im Einzelhandel, die Optimierung von Produktionsprozessen in der Fertigungsindustrie und die Früherkennung von Krankheiten im Gesundheitswesen. Durch die Nutzung von Datenanalysen können Unternehmen fundierte Entscheidungen treffen, Kosten senken und ihre Effizienz steigern. Insgesamt ermöglicht Predictive Analytics eine bessere Planung und Prognose zukünftiger Ereignisse in verschiedenen Branchen.
Ähnliche Suchbegriffe für Predictive Text:
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Predictive Analytics: Microsoft® Excel 2016
EXCEL 2016 PREDICTIVE ANALYTICS FOR SERIOUS DATA CRUNCHERS!Now, you can apply cutting-edge predictive analytics techniques to help your business win–and you don’t need multimillion-dollar software to do it. All the tools you need are available in Microsoft Excel 2016, and all the knowledge and skills are right here, in this book!Microsoft Excel MVP Conrad Carlberg shows you how to use Excel predictive analytics to solve real problems in areas ranging from sales and marketing to operations. Carlberg offers unprecedented insight into building powerful, credible, and reliable forecasts, helping you gain deep insights from Excel that would be difficult to uncover with costly tools such as SAS or SPSS.Fully updated for Excel 2016, this guide contains valuable new coverage of accounting for seasonality and managing complex consumer choice scenarios. Throughout, Carlberg provides downloadable Excel 2016 workbooks you can easily adapt to your own needs, plus VBA code–much of it open-source–to streamline especially complex techniques.Step by step, you’ll build on Excel skills you already have, learning advanced techniques that can help you increase revenue, reduce costs, and improve productivity. By mastering predictive analytics, you’ll gain a powerful competitive advantage for your company and yourself.Learn the “how” and “why” of using data to make better decisions, and choose the right technique for each problemCapture live real-time data from diverse sources, including third-party websitesUse logistic regression to predict behaviors such as “will buy” versus “won’t buy”Distinguish random data bounces from real, fundamental changesForecast time series with smoothing and regressionAccount for trends and seasonality via Holt-Winters smoothingPrevent trends from running out of control over long time horizonsConstruct more accurate predictions by using SolverManage large numbers of variables and unwieldy datasets with principal components analysis and Varimax factor rotationApply ARIMA (Box-Jenkins) techniques to build better forecasts and clarify their meaningHandle complex consumer choice problems with advanced logistic regressionBenchmark Excel results against R results
Preis: 24.6 € | Versand*: 0 € -
Predictive Analytics: Microsoft® Excel 2016
EXCEL 2016 PREDICTIVE ANALYTICS FOR SERIOUS DATA CRUNCHERS!Now, you can apply cutting-edge predictive analytics techniques to help your business win–and you don’t need multimillion-dollar software to do it. All the tools you need are available in Microsoft Excel 2016, and all the knowledge and skills are right here, in this book!Microsoft Excel MVP Conrad Carlberg shows you how to use Excel predictive analytics to solve real problems in areas ranging from sales and marketing to operations. Carlberg offers unprecedented insight into building powerful, credible, and reliable forecasts, helping you gain deep insights from Excel that would be difficult to uncover with costly tools such as SAS or SPSS.Fully updated for Excel 2016, this guide contains valuable new coverage of accounting for seasonality and managing complex consumer choice scenarios. Throughout, Carlberg provides downloadable Excel 2016 workbooks you can easily adapt to your own needs, plus VBA code–much of it open-source–to streamline especially complex techniques.Step by step, you’ll build on Excel skills you already have, learning advanced techniques that can help you increase revenue, reduce costs, and improve productivity. By mastering predictive analytics, you’ll gain a powerful competitive advantage for your company and yourself.Learn the “how” and “why” of using data to make better decisions, and choose the right technique for each problemCapture live real-time data from diverse sources, including third-party websitesUse logistic regression to predict behaviors such as “will buy” versus “won’t buy”Distinguish random data bounces from real, fundamental changesForecast time series with smoothing and regressionAccount for trends and seasonality via Holt-Winters smoothingPrevent trends from running out of control over long time horizonsConstruct more accurate predictions by using SolverManage large numbers of variables and unwieldy datasets with principal components analysis and Varimax factor rotationApply ARIMA (Box-Jenkins) techniques to build better forecasts and clarify their meaningHandle complex consumer choice problems with advanced logistic regressionBenchmark Excel results against R results
Preis: 32.09 € | Versand*: 0 € -
Chabert, Antoine: SAP Analytics Cloud: Predictive Analytics
SAP Analytics Cloud: Predictive Analytics , Today's organizations must be prepared for tomorrow's events. Forecast future behavior in SAP Analytics Cloud with this comprehensive guide to predictive analytics! Start by learning about the data types, scenarios, and methods used in predictive analytics projects. Then follow step-by-step instructions to build, analyze, and apply predictive models to your business data using classification, time series forecasting, and regression analysis. Automate your models and dive into the data science with this all-in-one guide! In this book, you'll learn about: a. Predictive Scenarios and Projects Understand the basics of predictive analytics in SAP Analytics Cloud: scenarios, data types, and actions. Then plan your predictive project, including identifying the key stakeholders and reviewing the methodology. b. Build, Train, Analyze, and Apply Master predictive models from end to end. Create classification, time series, and regression models; then train them to identify business patterns. Analyze and apply the results of your models to data in SAP Analytics Cloud. c. Practical Demonstrations See predictive analytics in action! Identify use cases for predictive modeling. For each data model, understand practical applications through curated examples with sample business data. Highlights include: 1) Predictive scenarios 2) Predictive forecasts 3) Data modeling 4) Planning 5) Time series model 6) Classification model 7) Regression model 8) Multi-actions 9) Data science 10) Stories and dashboards , Schule & Ausbildung > Fachbücher, Lernen & Nachschlagen
Preis: 81.99 € | Versand*: 0 € -
WHEELS MFG Open Bore Einpressadapter | 27,5x37 Predictive Steering
WHEELS MFG Open Bore Einpressadapter | 27,5x37 Predictive Steering Hochwertiger Lagereinpressadapter für den ambitionierten Schrauber oder Bikeshops. Es wird ein Adapter geliefert. Bei manchen Anwendungen könne jedoch zwei Adapter nötig sein. Empfohlen ist der Adapter zur Verwendung mit der Wheels MFG Press 1 oder Press 4. Es kann aber auch jede andere Presse mit 3/8" (9,525 mm) Spindel benutzt werden. technische Daten: Einsatzbereich: Einpressen von Rillenkugellagern mir 27,5 mm x 37 mm Abmessung Kompatibilität Presse: Press-1 | Press-4 (3/8" Spindel) Kompatibilität Lager: 37 mm x 27,5 mm Material: Aluminium Farbe: rot Gewicht laut Hersteller: Gewicht selbst gewogen: Lieferumfang: 1x WHEELS MFG Open Bore Einpressadapter | 27,5x37 Predictive Steering
Preis: 9.50 € | Versand*: 3.95 €
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Welche Nadeln für welche Stoffe?
Welche Nadeln für welche Stoffe? Es gibt verschiedene Nadeltypen, die für unterschiedliche Stoffe geeignet sind. Zum Beispiel eignen sich Universalnadeln für normale Stoffe wie Baumwolle oder Polyester. Für feine Stoffe wie Seide oder Chiffon sind dagegen Microtex-Nadeln ideal, da sie dünn und scharf sind. Stretchstoffe wie Jersey oder Elasthan benötigen spezielle Stretchnadeln, die sich gut dehnen lassen. Für dicke Stoffe wie Jeans oder Leder sind dagegen Jeansnadeln oder Ledernadeln empfehlenswert, da sie kräftiger sind und leichter durch das Material dringen können. Es ist wichtig, die richtige Nadel für den jeweiligen Stoff zu verwenden, um ein sauberes und professionelles Nähergebnis zu erzielen.
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Wie kann Predictive Analytics Unternehmen dabei unterstützen, zukünftige Entwicklungen und Trends vorherzusagen?
Predictive Analytics analysiert historische Daten, um Muster und Zusammenhänge zu identifizieren. Durch diese Erkenntnisse können Unternehmen Prognosen über zukünftige Entwicklungen und Trends erstellen. Auf dieser Grundlage können sie fundierte Entscheidungen treffen und ihr Geschäft strategisch ausrichten.
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Wie werden Predictive Analytics-Modelle eingesetzt, um zukünftige Ereignisse und Trends vorherzusagen?
Predictive Analytics-Modelle analysieren historische Daten, um Muster und Zusammenhänge zu identifizieren. Anhand dieser Erkenntnisse können zukünftige Ereignisse und Trends prognostiziert werden. Die Modelle werden kontinuierlich trainiert und optimiert, um präzise Vorhersagen zu liefern.
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Welche Vorteile kann Predictive Analytics Unternehmen in Bezug auf Umsatzsteigerung und Effizienzsteigerung bringen?
Predictive Analytics ermöglicht Unternehmen, zukünftige Trends und Kundenverhalten vorherzusagen, um gezielte Marketingstrategien zu entwickeln und somit den Umsatz zu steigern. Durch die Nutzung von Datenanalysen können Unternehmen auch Prozesse optimieren, Kosten senken und die Effizienz steigern, was letztendlich zu einer verbesserten Gesamtperformance führt. Darüber hinaus können Unternehmen durch Predictive Analytics frühzeitig Risiken erkennen und präventive Maßnahmen ergreifen, um potenzielle Probleme zu vermeiden und langfristig erfolgreich zu sein.
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