Open Source BI solutions have many advantages over traditional proprietary software, from offering lower initial costs to more flexible support and integration options; but, until now, there has been no comprehensive guide to the complete offerings of the OS BI market. Writing for IT managers and business analysts without bias toward any BI suite, industry insider Lyndsay Wise covers the benefits and challenges of all available open source BI systems and tools, enabling readers to identify the solutions and technologies that best meet their business needs. Wise compares and contrasts types of OS BI and proprietary tools on the market, including Pentaho, Jaspersoft, RapidMiner, SpagoBI, BIRT, and many more. Real-world case studies and project templates clarify the steps involved in implementing open source BI, saving new users the time and trouble of developing their own solutions from scratch. For business managers who are hard pressed to indentify the best BI solutions and software for their companies, this book provides a practical guide to evaluating the ROI of open source versus traditional BI deployments.
The only book to provide complete coverage of all open source BI systems and tools specifically for business managers, without bias toward any OS BI suiteA practical, step-by-step guide to implementing OS BI solutions that maximize ROIComprehensive coverage of all open source systems and tools, including architectures, data integration, support, optimization, data mining, data warehousing, and interoperabilityCase studies and project templates enable readers to evaluate the benefits and tradeoffs of all OS BI options without having to spend time developing their own solutions from scratch

It has quickly become apparent in the past year that online learning is not only an asset, but it is critical to the continued education of youth during times of crisis. However, districts and schools across the nation are in need of guidance and practical, research-backed approaches to distance and hybrid learning. The current COVID-19 crisis has demonstrated that effective learning in K-12 is possible, but many districts struggled and continue to struggle in achieving that reality. There is also the growing consensus that even if things ""return to normal,"" distance and blended learning strategies should continue to be employed in many ways across the K-12 environment. Designing Effective Distance and Blended Learning Environments in K-12 provides key insights into the ways that school districts and educators from across the world have effectively designed and implemented distance and blended learning approaches to enable and enhance student learning. The diverse collection of authors from various demographics and roles in school systems will benefit readers across a wide spectrum of school community stakeholders. There will also be an emphasis on how research and theory is put into practice, along with an honest discussion of what strategies and actions were successful as well as those that were less so. This book is essential for professionals and researchers working in the field of K-12 education, particularly superintendents, curriculum developers, professional learning designers, school principals, instructional technology specialists, and teachers, as well as administrators, researchers, academicians, and students interested in the effective practices being used in blended learning approaches.

Learn the best practices for basic visual presentation so you can create visually appealing and flexible presentations using PowerPoint's features and deliver more impactful presentations by leveraging PowerPoint's tools Key Features * Learn how to plan your content and prepare your PowerPoint masters * Create visually appealing content using PowerPoint's features and add-ins * Deliver better presentations by leveraging PowerPoint's advanced delivery tools Book Description Doing business presentations is a must-have skill these days. It can make a difference between getting or losing that important promotion or winning or losing that very important client deal, or grant. Although most people realize doing great presentations is important, many also feel they lack the skills and that it takes them too much time. What are the main reasons for that? Very few business professionals know about good visual design, and many have been using PowerPoint for a long time without any formal training. This is where this book will help you. It leads you through the steps that will help you plan, create, and deliver more impactful and professional-looking presentations. First, by planning your content and preparing PowerPoint's masters. Then by creating visually appealing content using the application's less known or more advanced features, including the use of some useful third-party add-ins. And finally, delivering better presentations by leveraging PowerPoint's advanced delivery tools. By the end of this book, you will know what process helps you create and deliver impactful presentations more efficiently. What you will learn * Plan your presentation content and know your audience * Prepare PowerPoint's masters to speed up the development process and have a consistent look * Add and modify visual and multimedia elements * Use transitions and animations efficiently * Build flexibility and interactivity in your presentations * Practice your delivery with Presenter Coach * Leverage Presenter View during delivery to increase your confidence * Use PowerPoint Live in Teams for easier to manage remote presentations Who This Book Is For If you are a business professional wondering about best practices for presentations and if PowerPoint has any features that could help you create and deliver impactful presentations, this book is for you. You don't need any formal presentation design knowledge, but you do need to know PowerPoint's basic tools and functions such as starting and saving files, adding, copying, pasting, or moving slides. A good understanding of what is cloud storage and the use of Office 365 is also required.

This book mainly aims at solving the problems in both cooperative and competitive multi-agent systems (MASs), exploring aspects such as how agents can effectively learn to achieve the shared optimal solution based on their local information and how they can learn to increase their individual utility by exploiting the weakness of their opponents. The book describes fundamental and advanced techniques of how multi-agent systems can be engineered towards the goal of ensuring fairness, social optimality, and individual rationality; a wide range of further relevant topics are also covered both theoretically and experimentally. The book will be beneficial to researchers in the fields of multi-agent systems, game theory and artificial intelligence in general, as well as practitioners developing practical multi-agent systems.

This book highlights the latest research articles presented at the second Digital Marketing & eCommerce Conference in June 2021. Papers include a diverse set of digital marketing and eCommerce-related topics such as user psychology and behavior in social commerce, influencer marketing in social commerce, social media monetization strategies, social commerce characteristics and their impact on user behavior, branding on social media, social media-based business models, user privacy and security protection on social media, social video marketing and commerce, among other topics.

Konsumenten wahlen im Zuge der Digitalisierung immer oefter Subskriptionen bzw. Abonnements, um ihre Einkaufe zu automatisieren. Im Mittelpunkt des essentials von Severin Friedrich Bischof und Thomas Rudolph stehen Subskriptionen fur Konsumguter, die von Konsumenten in der Vergangenheit in stationaren Handelsgeschaften gekauft wurden. Die Autoren beschreiben, welche Arten von Subskriptionen heute eine Rolle spielen und in welchen Branchen diese zukunftig besonders beliebt werden. Sie definieren vier unterschiedliche Subskriptionstypen, die sich hinsichtlich ihres UEberraschungs- und Personalisierungsgrades unterscheiden. Das essential hilft, mit passenden Subskriptionsdiensten auf das veranderte Kundenverhalten einzugehen und die Chancen dieses neuen Erloesmodells im Einzelhandel zu nutzen.

Use modern Python libraries such as pandas, NumPy, and scikit-learn and popular machine learning and deep learning methods to solve financial modeling problems Purchase of the print or Kindle book includes a free eBook in the PDF format Key Features Explore unique recipes for financial data processing and analysis with Python Apply classical and machine learning approaches to financial time series analysis Calculate various technical analysis indicators and backtesting backtest trading strategies Book DescriptionPython is one of the most popular programming languages in the financial industry, with a huge collection of accompanying libraries. In this new edition of the Python for Finance Cookbook, you will explore classical quantitative finance approaches to data modeling, such as GARCH, CAPM, factor models, as well as modern machine learning and deep learning solutions. You will use popular Python libraries that, in a few lines of code, provide the means to quickly process, analyze, and draw conclusions from financial data. In this new edition, more emphasis was put on exploratory data analysis to help you visualize and better understand financial data. While doing so, you will also learn how to use Streamlit to create elegant, interactive web applications to present the results of technical analyses. Using the recipes in this book, you will become proficient in financial data analysis, be it for personal or professional projects. You will also understand which potential issues to expect with such analyses and, more importantly, how to overcome them. What you will learn Preprocess, analyze, and visualize financial data Explore time series modeling with statistical (exponential smoothing, ARIMA) and machine learning models Uncover advanced time series forecasting algorithms such as Meta's Prophet Use Monte Carlo simulations for derivatives valuation and risk assessment Explore volatility modeling using univariate and multivariate GARCH models Investigate various approaches to asset allocation Learn how to approach ML-projects using an example of default prediction Explore modern deep learning models such as Google's TabNet, Amazon's DeepAR and NeuralProphet Who this book is forThis book is intended for financial analysts, data analysts and scientists, and Python developers with a familiarity with financial concepts. You'll learn how to correctly use advanced approaches for analysis, avoid potential pitfalls and common mistakes, and reach correct conclusions for a broad range of finance problems. Working knowledge of the Python programming language (particularly libraries such as pandas and NumPy) is necessary.