Transition To Advanced Analytics
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Transition To Advanced Analytics
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Author : Jason Tan
language : en
Publisher: CRC Press
Release Date : 2024-04-05
Transition To Advanced Analytics written by Jason Tan and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-04-05 with Business & Economics categories.
Amazon knows the products we’re interested in and shows us more to boost the size of our shopping cart. Google Maps knows the best route to get from A to B and recommends it to get us there in the shortest possible time. Netflix knows the media we enjoy most and recommends more to boost streaming time. However, many companies still fall short with their data analytics practices. This book focuses on how to embed advanced analytics directly into daily business operations and complement an enterprise system. This book can guide you in how traditional industries like retailers, banks and insurers can utilise and develop advanced analytics complementing their enterprise systems while embedding advanced analytics directly to optimise revenue and customer experience. Detailed in this book is a world-class analytics application used by loyalty point providers, banks, insurers and leading retailers. The title also provides a step-by-step implementation framework for Chief Digital and Artificial Intelligence Offices to develop their advanced analytics capabilities in tandem with legacy IT systems.
Advanced Analytics With R And Tableau
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Author : Jen Stirrup
language : en
Publisher:
Release Date : 2017
Advanced Analytics With R And Tableau written by Jen Stirrup and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017 with R (Computer program language) categories.
Advanced Analytics With R And Tableau
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Author : Jen Stirrup
language : en
Publisher: Packt Publishing Ltd
Release Date : 2017-08-22
Advanced Analytics With R And Tableau written by Jen Stirrup and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-08-22 with Computers categories.
Leverage the power of advanced analytics and predictive modeling in Tableau using the statistical powers of R About This Book A comprehensive guide that will bring out the creativity in you to visualize the results of complex calculations using Tableau and R Combine Tableau analytics and visualization with the power of R using this step-by-step guide Wondering how R can be used with Tableau? This book is your one-stop solution. Who This Book Is For This book will appeal to Tableau users who want to go beyond the Tableau interface and deploy the full potential of Tableau, by using R to perform advanced analytics with Tableau. A basic familiarity with R is useful but not compulsory, as the book will start off with concrete examples of R and will move quickly into more advanced spheres of analytics using online data sources to support hands-on learning. Those R developers who want to integrate R in Tableau will also benefit from this book. What You Will Learn Integrate Tableau's analytics with the industry-standard, statistical prowess of R. Make R function calls in Tableau, and visualize R functions with Tableau using RServe. Use the CRISP-DM methodology to create a roadmap for analytics investigations. Implement various supervised and unsupervised learning algorithms in R to return values to Tableau. Make quick, cogent, and data-driven decisions for your business using advanced analytical techniques such as forecasting, predictions, association rules, clustering, classification, and other advanced Tableau/R calculated field functions. In Detail Tableau and R offer accessible analytics by allowing a combination of easy-to-use data visualization along with industry-standard, robust statistical computation. Moving from data visualization into deeper, more advanced analytics? This book will intensify data skills for data viz-savvy users who want to move into analytics and data science in order to enhance their businesses by harnessing the analytical power of R and the stunning visualization capabilities of Tableau. Readers will come across a wide range of machine learning algorithms and learn how descriptive, prescriptive, predictive, and visually appealing analytical solutions can be designed with R and Tableau. In order to maximize learning, hands-on examples will ease the transition from being a data-savvy user to a data analyst using sound statistical tools to perform advanced analytics. By the end of this book, you will get to grips with advanced calculations in R and Tableau for analytics and prediction with the help of use cases and hands-on examples. Style and approach Tableau (uniquely) offers excellent visualization combined with advanced analytics; R is at the pinnacle of statistical computational languages. When you want to move from one view of data to another, backed up by complex computations, the combination of R and Tableau makes the perfect solution. This example-rich guide will teach you how to combine these two to perform advanced analytics by integrating Tableau with R and create beautiful data visualizations.
Building Analytics Teams
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Author : John K. Thompson
language : en
Publisher: Packt Publishing Ltd
Release Date : 2020-06-30
Building Analytics Teams written by John K. Thompson and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-06-30 with Computers categories.
Master the skills necessary to hire and manage a team of highly skilled individuals to design, build, and implement applications and systems based on advanced analytics and AI Key FeaturesLearn to create an operationally effective advanced analytics team in a corporate environmentSelect and undertake projects that have a high probability of success and deliver the improved top and bottom-line resultsUnderstand how to create relationships with executives, senior managers, peers, and subject matter experts that lead to team collaboration, increased funding, and long-term success for you and your teamBook Description In Building Analytics Teams, John K. Thompson, with his 30+ years of experience and expertise, illustrates the fundamental concepts of building and managing a high-performance analytics team, including what to do, who to hire, projects to undertake, and what to avoid in the journey of building an analytically sound team. The core processes in creating an effective analytics team and the importance of the business decision-making life cycle are explored to help achieve initial and sustainable success. The book demonstrates the various traits of a successful and high-performing analytics team and then delineates the path to achieve this with insights on the mindset, advanced analytics models, and predictions based on data analytics. It also emphasizes the significance of the macro and micro processes required to evolve in response to rapidly changing business needs. The book dives into the methods and practices of managing, developing, and leading an analytics team. Once you've brought the team up to speed, the book explains how to govern executive expectations and select winning projects. By the end of this book, you will have acquired the knowledge to create an effective business analytics team and develop a production environment that delivers ongoing operational improvements for your organization. What you will learnAvoid organizational and technological pitfalls of moving from a defined project to a production environmentEnable team members to focus on higher-value work and tasksBuild Advanced Analytics and Artificial Intelligence (AA&AI) functions in an organizationOutsource certain projects to competent and capable third partiesSupport the operational areas that intend to invest in business intelligence, descriptive statistics, and small-scale predictive analyticsAnalyze the operational area, the processes, the data, and the organizational resistanceWho this book is for This book is for senior executives, senior and junior managers, and those who are working as part of a team that is accountable for designing, building, delivering and ensuring business success through advanced analytics and artificial intelligence systems and applications. At least 5 to 10 years of experience in driving your organization to a higher level of efficiency will be helpful.
Win With Advanced Business Analytics
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Author : Jean-Paul Isson
language : en
Publisher: John Wiley & Sons
Release Date : 2012-10-09
Win With Advanced Business Analytics written by Jean-Paul Isson and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-10-09 with Business & Economics categories.
Plain English guidance for strategic business analytics and big data implementation In today's challenging economy, business analytics and big data have become more and more ubiquitous. While some businesses don't even know where to start, others are struggling to move from beyond basic reporting. In some instances management and executives do not see the value of analytics or have a clear understanding of business analytics vision mandate and benefits. Win with Advanced Analytics focuses on integrating multiple types of intelligence, such as web analytics, customer feedback, competitive intelligence, customer behavior, and industry intelligence into your business practice. Provides the essential concept and framework to implement business analytics Written clearly for a nontechnical audience Filled with case studies across a variety of industries Uniquely focuses on integrating multiple types of big data intelligence into your business Companies now operate on a global scale and are inundated with a large volume of data from multiple locations and sources: B2B data, B2C data, traffic data, transactional data, third party vendor data, macroeconomic data, etc. Packed with case studies from multiple countries across a variety of industries, Win with Advanced Analytics provides a comprehensive framework and applications of how to leverage business analytics/big data to outpace the competition.
Big Data Analytics
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Author : Ulrich Matter
language : en
Publisher: CRC Press
Release Date : 2023-09-04
Big Data Analytics written by Ulrich Matter and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-09-04 with Mathematics categories.
- Includes many code examples in R and SQL, with R/SQL scripts freely provided online. - Extensive use of real datasets from empirical economic research and business analytics, with data files freely provided online. - Leads students and practitioners to think critically about where the bottlenecks are in practical data analysis tasks with large data sets, and how to address them.
The Economics Of Data Analytics And Digital Transformation
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Author : Bill Schmarzo
language : en
Publisher: Packt Publishing Ltd
Release Date : 2020-11-30
The Economics Of Data Analytics And Digital Transformation written by Bill Schmarzo and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-11-30 with Computers categories.
Build a continuously learning and adapting organization that can extract increasing levels of business, customer and operational value from the amalgamation of data and advanced analytics such as AI and Machine Learning Key Features Master the Big Data Business Model Maturity Index methodology to transition to a value-driven organizational mindset Acquire implementable knowledge on digital transformation through 8 practical laws Explore the economics behind digital assets (data and analytics) that appreciate in value when constructed and deployed correctly Book Description In today's digital era, every organization has data, but just possessing enormous amounts of data is not a sufficient market discriminator. The Economics of Data, Analytics, and Digital Transformation aims to provide actionable insights into the real market discriminators, including an organization's data-fueled analytics products that inspire innovation, deliver insights, help make practical decisions, generate value, and produce mission success for the enterprise. The book begins by first building your mindset to be value-driven and introducing the Big Data Business Model Maturity Index, its maturity index phases, and how to navigate the index. You will explore value engineering, where you will learn how to identify key business initiatives, stakeholders, advanced analytics, data sources, and instrumentation strategies that are essential to data science success. The book will help you accelerate and optimize your company's operations through AI and machine learning. By the end of the book, you will have the tools and techniques to drive your organization's digital transformation. Here are a few words from Dr. Kirk Borne, Data Scientist and Executive Advisor at Booz Allen Hamilton, about the book: "Data analytics should first and foremost be about action and value. Consequently, the great value of this book is that it seeks to be actionable. It offers a dynamic progression of purpose-driven ignition points that you can act upon." What you will learn Train your organization to transition from being data-driven to being value-driven Navigate and master the big data business model maturity index Learn a methodology for determining the economic value of your data and analytics Understand how AI and machine learning can create analytics assets that appreciate in value the more that they are used Become aware of digital transformation misconceptions and pitfalls Create empowered and dynamic teams that fuel your organization's digital transformation Who this book is for This book is designed to benefit everyone from students who aspire to study the economic fundamentals behind data and digital transformation to established business leaders and professionals who want to learn how to leverage data and analytics to accelerate their business careers.
Advanced Analytics With Transact Sql
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Author : Dejan Sarka
language : en
Publisher:
Release Date : 2021
Advanced Analytics With Transact Sql written by Dejan Sarka and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021 with categories.
Learn about business intelligence (BI) features in T-SQL and how they can help you with data science and analytics efforts without the need to bring in other languages such as R and Python. This book shows you how to compute statistical measures using your existing skills in T-SQL. You will learn how to calculate descriptive statistics, including centers, spreads, skewness, and kurtosis of distributions. You will also learn to find associations between pairs of variables, including calculating linear regression formulas and confidence levels with definite integration. No analysis is good without data quality. Advanced Analytics with Transact-SQL introduces data quality issues and shows you how to check for completeness and accuracy, and measure improvements in data quality over time. The book also explains how to optimize queries involving temporal data, such as when you search for overlapping intervals. More advanced time-oriented information in the book includes hazard and survival analysis. Forecasting with exponential moving averages and autoregression is covered as well. Every web/retail shop wants to know the products customers tend to buy together. Trying to predict the target discrete or continuous variable with few input variables is important for practically every type of business. This book helps you understand data science and the advanced algorithms use to analyze data, and terms such as data mining, machine learning, and text mining. Key to many of the solutions in this book are T-SQL window functions. Author Dejan Sarka demonstrates efficient statistical queries that are based on window functions and optimized through algorithms built using mathematical knowledge and creativity. The formulas and usage of those statistical procedures are explained so you can understand and modify the techniques presented. T-SQL is supported in SQL Server, Azure SQL Database, and in Azure Synapse Analytics. There are so many BI features in T-SQL that it might become your primary analytic database language. If you want to learn how to get information from your data with the T-SQL language that you already are familiar with, then this is the book for you. You will learn to: Describe distribution of variables with statistical measures Find associations between pairs of variables Evaluate the quality of the data you are analyzing Perform time-series analysis on your data Forecast values of a continuous variable Perform market-basket analysis to predict customer purchasing patterns Predict target variable outcomes from one or more input variables Categorize passages of text by extracting and analyzing keywords.
Advanced Analytics Capabilities Standard Requirements
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Author : Gerardus Blokdyk
language : en
Publisher: 5starcooks
Release Date : 2018-10-17
Advanced Analytics Capabilities Standard Requirements written by Gerardus Blokdyk and has been published by 5starcooks this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-10-17 with categories.
Will Advanced Analytics Capabilities have an impact on current business continuity, disaster recovery processes and/or infrastructure? Is Advanced Analytics Capabilities realistic, or are you setting yourself up for failure? Is the Advanced Analytics Capabilities scope manageable? What are the key enablers to make this Advanced Analytics Capabilities move? What are the key elements of your Advanced Analytics Capabilities performance improvement system, including your evaluation, organizational learning, and innovation processes? Defining, designing, creating, and implementing a process to solve a challenge or meet an objective is the most valuable role... In EVERY group, company, organization and department. Unless you are talking a one-time, single-use project, there should be a process. Whether that process is managed and implemented by humans, AI, or a combination of the two, it needs to be designed by someone with a complex enough perspective to ask the right questions. Someone capable of asking the right questions and step back and say, 'What are we really trying to accomplish here? And is there a different way to look at it?' This Self-Assessment empowers people to do just that - whether their title is entrepreneur, manager, consultant, (Vice-)President, CxO etc... - they are the people who rule the future. They are the person who asks the right questions to make Advanced Analytics Capabilities investments work better. This Advanced Analytics Capabilities All-Inclusive Self-Assessment enables You to be that person. All the tools you need to an in-depth Advanced Analytics Capabilities Self-Assessment. Featuring 668 new and updated case-based questions, organized into seven core areas of process design, this Self-Assessment will help you identify areas in which Advanced Analytics Capabilities improvements can be made. In using the questions you will be better able to: - diagnose Advanced Analytics Capabilities projects, initiatives, organizations, businesses and processes using accepted diagnostic standards and practices - implement evidence-based best practice strategies aligned with overall goals - integrate recent advances in Advanced Analytics Capabilities and process design strategies into practice according to best practice guidelines Using a Self-Assessment tool known as the Advanced Analytics Capabilities Scorecard, you will develop a clear picture of which Advanced Analytics Capabilities areas need attention. Your purchase includes access details to the Advanced Analytics Capabilities self-assessment dashboard download which gives you your dynamically prioritized projects-ready tool and shows your organization exactly what to do next. You will receive the following contents with New and Updated specific criteria: - The latest quick edition of the book in PDF - The latest complete edition of the book in PDF, which criteria correspond to the criteria in... - The Self-Assessment Excel Dashboard, and... - Example pre-filled Self-Assessment Excel Dashboard to get familiar with results generation ...plus an extra, special, resource that helps you with project managing. INCLUDES LIFETIME SELF ASSESSMENT UPDATES Every self assessment comes with Lifetime Updates and Lifetime Free Updated Books. Lifetime Updates is an industry-first feature which allows you to receive verified self assessment updates, ensuring you always have the most accurate information at your fingertips.
The Analytics Sandwich
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Author : Bernardo Almada-Lobo
language : en
Publisher: LTPlabs
Release Date : 2024-05-24
The Analytics Sandwich written by Bernardo Almada-Lobo and has been published by LTPlabs this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-05-24 with Business & Economics categories.
In "The Analytics Sandwich", the authors advocate a departure from traditional intuition-based decision-making to embrace the power of advanced analytics and artificial intelligence. This book introduces the Analytics Sandwich framework, emphasizing the integration of intuition and analytics for effective decision-making in a complex, dynamic world. Through diverse use cases, readers witness the transformative potential of advanced analytics, encouraging a shift from conventional tactics. The structured approach outlined in the book empowers leaders to identify high-value analytics projects aligned with strategic goals and manage them effectively. Ultimately, "The Analytics Sandwich" serves as a practical guide for executives and leaders to strategically leverage data, ensuring that every critical decision is informed and enhanced by analytics.