[PDF] Nutzungspotenziale Durch Advanced Data Analytics Von Big Data Im Controlling Planung Forecasting Simulation Und Reporting - eBooks Review

Nutzungspotenziale Durch Advanced Data Analytics Von Big Data Im Controlling Planung Forecasting Simulation Und Reporting


Nutzungspotenziale Durch Advanced Data Analytics Von Big Data Im Controlling Planung Forecasting Simulation Und Reporting
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Nutzungspotenziale Durch Advanced Data Analytics Von Big Data Im Controlling Planung Forecasting Simulation Und Reporting


Nutzungspotenziale Durch Advanced Data Analytics Von Big Data Im Controlling Planung Forecasting Simulation Und Reporting
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Author :
language : de
Publisher: GRIN Verlag
Release Date : 2017-06-30

Nutzungspotenziale Durch Advanced Data Analytics Von Big Data Im Controlling Planung Forecasting Simulation Und Reporting written by and has been published by GRIN Verlag this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-06-30 with Business & Economics categories.


Masterarbeit aus dem Jahr 2017 im Fachbereich BWL - Controlling, Note: 1,3, Katholische Universität Eichstätt-Ingolstadt (Lehrstuhl für Allgemeine Betriebswirtschaftslehre und Unternehmensrechnung, Univ. Prof. Dr. mult. Anton Burger), Sprache: Deutsch, Abstract: Durch den rasanten technologischen Fortschritt erhöhen sich momentan nicht nur die Einsatzmöglichkeiten von Big Data in Unternehmen, vor allem werden entsprechende IT-Systeme zur Speicherung und Analyse von Big Data zunehmend günstiger in der Anschaffung und der Nutzung. Aber auch die Wirtschaftlichkeit wird durch die zahlreichen Einsatzmöglichkeiten und den zusätzlichen Erkenntnisgewinn erhöht. Zu diesem Ergebnis kommt eine repräsentative Studie der Bitcom Research und KPMG, nach der in 2016 bereits 35 Prozent der befragten deutschen Unternehmen Big Data nutzten. In 2015 waren es lediglich 23 Prozent. Mehr als die Hälfte der befragten Unternehmen einer anderen Studie von KPMG planen den Einsatz von Big Data. Klassische Einsatzbereiche sind bisher die Produktion, Projektabwicklung, Vertrieb und das Marketing. Zunehmend gewinnt Big Data auch in den Controlling-Abteilungen an Bedeutung. Das bestätigte eine weitere empirische Studie des Instituts für Business Intelligence aus dem Jahr 2014, bei der 77 Prozent der befragten IT-Professionals das Potenzial von Big Data im Controlling und der Unternehmenssteuerung als hoch ein-stuften. Das klassische Rechnungswesen haben hingegen nur 37 Prozent mit einem hohen Potenzial eingestuft. Die Studien legen nahe, dass vor allem die Berufsgruppen, die in intensivem Kontakt mit Big Data Technologien sind, auch die Potenziale von Big Data kennen und mit den Anwendungsmöglichkeiten vertraut sind. Die Controlling-Abteilungen zählen die Informationsversorgung zu einer ihrer Hauptaufgaben, sind jedoch nicht zwingend mit den neusten Technologien vertraut, was eine Einschätzung der Potenziale von unterschiedlichen Big Data-Anwendungsmöglichkeiten erschweren kann. Ziel dieser Arbeit ist es daher die Nutzungspotenziale von Big Data in klassischen Controlling-Bereichen wie Planung, Forecasting, Simulation und Reporting herauszuarbeiten. Diese Potenzialanalyse der Anwendungsmöglichkeiten unterstützt Unternehmen und Controlling-Abteilungen bei der Bewertung der Einsatzmöglichkeiten von Big Data Technologien. Dabei ist auch der Einfluss von Big Data und entsprechender Technologien auf das zukünftige Berufsbild des Controllers im Sinne der Aufgaben und Kenntnisse zu untersuchen und gegenüber dem neuen Berufsbild des Data Scientists abzugrenzen.



Total Vehicle Sales Forecast


Total Vehicle Sales Forecast
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Author : Alexander Hardt
language : en
Publisher: GRIN Verlag
Release Date : 2014-09-05

Total Vehicle Sales Forecast written by Alexander Hardt and has been published by GRIN Verlag this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-09-05 with Business & Economics categories.


Project Report from the year 2013 in the subject Economics - Statistics and Methods, grade: 1,0, , course: ECO 309, language: English, abstract: For this project I created a twelve month forecast for Total Vehicle Sales in the United States using four different methods. These four techniques are called exponential smoothing, decomposition, ARIMA, and multiple regression. To do so I picked one dependent (Y) variable along with two independent (X) variables and collected 80 monthly observations for each variable. This historical data allowed me to create four different forecasting models which predict future Vehicle Sales with low risk of error. The best model according to the lowest error measures was winter’s exponential smoothing method because it had the lowest MAPE along with the lowest RMSE for the fit period as well as the forecast period.



Data Mining To Business Analytics Finance Budgeting And Investments


Data Mining To Business Analytics Finance Budgeting And Investments
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Author : Jagdish Chandra Patni
language : en
Publisher:
Release Date : 2017-09-12

Data Mining To Business Analytics Finance Budgeting And Investments written by Jagdish Chandra Patni and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-09-12 with categories.


Academic Paper from the year 2017 in the subject Computer Science - General, grade: 5, University of Petroleum and Energy Studies, language: English, abstract: This paper utilizes the distinctive mining techniques as an answer for business needs. It presents Finance, Budgeting and Investments as the principle working ground for the data mining algorithms actualized. With the increment of monetary globalization and development of information technology, financial data are being produced and gathered at an extraordinary pace. Thus, there has been a basic requirement for automated ways to deal with compelling and proficient usage of gigantic measure of data to support companies and people in doing the Business. Data mining is turning out to be strategically imperative region for some business associations including financial sector. Data mining helps the companies to search for hidden example in a gathering and find obscure relationship in the data. Financial Analysis alludes to the assessment of a business to manage the arranging, budgeting, observing, forecasting, and enhancing of every financial point of interest inside of an association. The task concentrates on comprehension the association's financial health as a major part of reacting to today's inexorably stringent financial reporting prerequisites. It exhibits the capacity of the data mining to robotize the procedure of looking the boundless customer's connected data to discover patterns that are great indicators of the practices of the customer. This will cover the analysis of: Profit arranging, Cash flow analysis, Investment decisions and risk analysis, Dividend Policies and Portfolio Analysis through algorithms like Apriori, Naivebayes, Prediction algorithm and so forth. Along these lines this Data mining arrangement actualizes advanced data analysis techniques utilized by companies for discovering startling patterns extricated from tremendous measures of data, patterns that offer applicable knowledge for



Algorithmic Pricing Based On Big Data A Critical Reflection


Algorithmic Pricing Based On Big Data A Critical Reflection
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Author : Lukas Kern
language : en
Publisher:
Release Date : 2020

Algorithmic Pricing Based On Big Data A Critical Reflection written by Lukas Kern and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020 with categories.




Future Telco


Future Telco
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Author : Peter Krüssel
language : en
Publisher: Springer
Release Date : 2018-07-23

Future Telco written by Peter Krüssel and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-07-23 with Business & Economics categories.


This book examines the extensive changes in markets, technologies and value chains that telecommunication companies are currently confronted with. It analyzes the crossroads they have reached and the choices that now need to be made – to be a bit pipe or a trendsetter of digitalization. Based on an analysis of the key challenges for telcos, the book derives future market scenarios and puts forward recommendations for how they can successfully position themselves. It proposes a framework based on seven “levers,” which addresses concrete measures in each step of the value chain, ranging from technology, IT and processes, to innovation, marketing and sales issues. The book discusses the current challenges and provides both general recommendations and concrete solutions. Respected experts illustrate innovative strategic and technical trends and provide insights gained in real-life transformation projects. Recent developments in the areas of regulation, product development, competition between over-the-top (OTT) providers and telcos, as well as technical innovations like 5G, SDN/NFV, LEO satellites and MEC are discussed. Accordingly, practitioners, managers and researchers alike will benefit from the book’s wealth of examples and up-to-date insights.



Artificial Intelligence In Marketing


Artificial Intelligence In Marketing
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Author : IntroBooks Team
language : en
Publisher: IntroBooks
Release Date :

Artificial Intelligence In Marketing written by IntroBooks Team and has been published by IntroBooks this book supported file pdf, txt, epub, kindle and other format this book has been release on with Business & Economics categories.


Artificial intelligence in marketing, which is commonly known as AI Marketing, is a process of striking a chord of linkage between customer statistics and artificial intelligence hypotheses. It is basically an automated learning curve for a business house on the marketing front such that it can predict a customer’s ongoing move and the next phase of action. By doing so, a business entity can easily amplify its outlook in the interests of the customer, which, in turn, displays the quality of relevant products or services in an intelligent manner to reach a larger audience. Due to the emergence of artificial intelligence marketing solutions, an effective recourse is seen apparent in terms of bonding between scientific data points, which are amassed industriously for subsequent implementation. In other words, the erstwhile process of manual hard work of assembling and analyzing a colossal quantum of data has surely become a thing of the past.



Mensch Und Computer 2015 Workshopband


Mensch Und Computer 2015 Workshopband
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Author : Anette Weisbecker
language : de
Publisher: Walter de Gruyter GmbH & Co KG
Release Date : 2015-09-14

Mensch Und Computer 2015 Workshopband written by Anette Weisbecker and has been published by Walter de Gruyter GmbH & Co KG this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-09-14 with Computers categories.


The Workshop Volume from the Humans and Computers Conference documents the advanced tutorials that were presented to deepen the understanding gained from the conference lectures. It presents case studies along with accompanying exercises.



Data Mining For Pattern Recognition And Pattern Matching In Bioinformatics


Data Mining For Pattern Recognition And Pattern Matching In Bioinformatics
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Author : Binod Kumar
language : en
Publisher: GRIN Verlag
Release Date : 2020-05-07

Data Mining For Pattern Recognition And Pattern Matching In Bioinformatics written by Binod Kumar and has been published by GRIN Verlag this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-05-07 with Medical categories.


Master's Thesis from the year 2006 in the subject Computer Science - Bioinformatics, , language: English, abstract: Data mining, the extraction of hidden predictive information from large databases, is a powerful new technology with great potential to help companies focus on the most important information in their data warehouses. Data mining tools predict future trends and behaviors allowing businesses to make proactive, knowledge-driven decisions. Data mining tools can answer business questions that traditionally were too time-consuming to resolve. They scour databases for hidden patterns, finding predictive information that experts may miss because it lies outside their expectation. Automated pattern matching- the ability of a program to compare known patterns and determine the degree of similarity –forms the basis for automated sequence analysis, modeling of protein structures, locating homologous genes, data mining, Internet search engines etc. in bioinformatics. Data mining relies on algorithm pattern matching to locate patterns in online and local databases, using a variety of technologies, from simple keyword matching to rule based expert system and artificial neural networks. In this dissertation, the basic problems related to pattern reorganization and pattern matching for nucleotide and protein sequence alignment are discussed. The main techniques used to solve these problems and a comprehensive survey of most influential algorithms that were proposed during the last decay is described.



Playfair S Commercial And Political Atlas And Statistical Breviary


Playfair S Commercial And Political Atlas And Statistical Breviary
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Author : William Playfair
language : en
Publisher: Cambridge University Press
Release Date : 2005

Playfair S Commercial And Political Atlas And Statistical Breviary written by William Playfair and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005 with Business & Economics categories.


A scientific revolution began at the end of the eighteenth century with the invention and popularization of the graphic display of data by the remarkable Scot, William Playfair. His marvellous Atlas showed how much could be learned if one plotted data atheoretically and looked for suggestive patterns. Those patterns provide evidence, albeit circumstantial, on which to build new science. Playfair's work has much to teach us, but finding a copy has been almost impossible. Until now. This full colour reproduction of two of his classic works, with new explanatory material, makes Playfair's wisdom widely available for the first time in two centuries.



Remaining Relevant


Remaining Relevant
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Author : Rob Nixon
language : en
Publisher: Fontaine Press Pty Ltd
Release Date : 2015-03-27

Remaining Relevant written by Rob Nixon and has been published by Fontaine Press Pty Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-03-27 with Business & Economics categories.


‘Remaining Relevant’ is practical and practiced advice for accountants to remain relevant in a ‘disrupted’ industry and has been described as “the most important business book that you will read this year.” Anthony S Bongiorno, The Bongiorno Group. The explosion of cloud computing and its impact on the accounting industry is the impetus for ‘Remaining Relevant’, which is all about the future of the accounting profession - essential reading in this manual for an accountant’s success. “Technology is enabling and will demand the accounting profession to transform. From the changing the engagement and service mix within a firm, to fixed fee billing and off shoring ... everything is up for review. As long-term industry insider and visionary, Rob has the unique capability to help accountants focus on what is important through his direct, and at times confronting, analysis of the profession. A must read.” Tim Reed, MYOB CEO “Rob Nixon is to accounting what Peter Drucker was to strategy: He creates new paradigms and fresh approaches to a discipline that would be headed for the doldrums without him.” Alan Weiss, PhD, Author, Million Dollar Consulting Rhode Island, USA “The accounting game is changing forever. Any partner who doesn’t acknowledge this is kidding themselves. The age of the dinosaur firm is coming to an end, and this book is a must for any accountant who wants to remain relevant in the 21st Century.” Chris Hooper, CEO, Accodex Adelaide, Australia