Driven by Data

A Practical Guide to Improve Instruction
Author: Paul Bambrick-Santoyo
Publisher: John Wiley & Sons
ISBN: 9780470594384
Category: Education
Page: 336
View: 7728

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Driven by Data offers valuable tips and general guidelines about data-based methods and the difficulties surrounding the implementation of data-driven instruction. Through a CD-ROM, this guidebook provides all the tools needed to launch data-driven instruction effectively, such as an implementation rubric, meeting agendas, calendars, assessment templates, and more. Written by Paul Bambrick-Santoyo, who has worked with over 1,000 schools across the nation, the book clearly shows how to maneuver through assessments and statistics. Bambrick-Santoyo offers vital tips, such as: how to create a data culture, how to run a successful data analysis meeting, how to write quality assessments, and how to deal with resistance from your teachers. The book also includes twenty case studies of high-performing schools. School leaders will find this resource useful for achieving remarkable results and immense gains, regardless of the school's background, leader, or demographic. Note: CD-ROM/DVD and other supplementary materials are not included as part of eBook file.

Data-Driven HR

How to Use Analytics and Metrics to Drive Performance
Author: Bernard Marr
Publisher: Kogan Page Publishers
ISBN: 0749482478
Category: Business & Economics
Page: 264
View: 8784

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Traditionally seen as a purely people function unconcerned with numbers, HR is now uniquely placed to use company data to drive performance, both of the people in the organization and the organization as a whole. Data-Driven HR is a practical guide which enables HR professionals to leverage the value of the vast amount of data available at their fingertips. Covering how to identify the most useful sources of data, collect information in a transparent way that is in line with data protection requirements and turn this data into tangible insights, this book marks a turning point for the HR profession. Covering all the key elements of HR including recruitment, employee engagement, performance management, wellbeing and training, Data-Driven HR examines the ways data can contribute to organizational success by, among other things, optimizing processes, driving performance and improving HR decision making. Packed with case studies and real-life examples, this is essential reading for all HR professionals looking to make a measurable difference in their organizations.

The Big Data-Driven Business

How to Use Big Data to Win Customers, Beat Competitors, and Boost Profits
Author: Russell Glass,Sean Callahan
Publisher: John Wiley & Sons
ISBN: 1118889789
Category: Business & Economics
Page: 224
View: 6819

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Get the expert perspective and practical advice on big data The Big Data-Driven Business: How to Use Big Data to WinCustomers, Beat Competitors, and Boost Profits makes the casethat big data is for real, and more than just big hype. The bookuses real-life examples—from Nate Silver to Copernicus, andApple to Blackberry—to demonstrate how the winners of thefuture will use big data to seek the truth. Written by a marketingjournalist and the CEO of a multi-million-dollar B2B marketingplatform that reaches more than 90% of the U.S. businesspopulation, this book is a comprehensive and accessible guide onhow to win customers, beat competitors, and boost the bottom linewith big data. The marketplace has entered an era where the customer holds allthe cards. With unprecedented choice in both the consumer world andthe B2B world, it's imperative that businesses gain a greaterunderstanding of their customers and prospects. Big data is the keyto this insight, because it provides a comprehensive view of acompany's customers—who they are, and who they may betomorrow. The Big Data-Driven Business is a complete guideto the future of business as seen through the lens of big data,with expert advice on real-world applications. Learn what big data is, and how it will transform theenterprise Explore why major corporations are betting their companies onmarketing technology Read case studies of big data winners and losers Discover how to change privacy and security, and remodelmarketing Better information allows for better decisions, bettertargeting, and better reach. Big data has become an indispensabletool for the most effective marketers in the business, and it'sbecoming less of a competitive advantage and more like an industrystandard. Remaining relevant as the marketplace evolves requires afull understanding and application of big data, and The BigData-Driven Business provides the practical guidance businessesneed.

Approaching 100% by 2014: Using Data-Driven Technology, Scientifically Proven Practices, and Cultural Change to Meet the No Child Left Behind Challenge


Author: James Goodell
Publisher: Lulu.com
ISBN: 0615169708
Category: Education
Page: 100
View: 4607

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Approaching 100% by 2014 looks at the promise and role that today's information technology can play in optimizing the allocation of resources, transforming the culture, and growing the capacity of the U.S. educational system to meet the No Child Left Behind challenge. "It is the radical shift of focus, from the practice of teaching as an independent art to that of professional collaboration focused on individual student learning, in which technology can make the greatest impact. This synthesis of professional practice and information technology is the basis of the comprehensive solution needed to approach the 100% goal by 2014."

Data-Driven Healthcare

How Analytics and BI are Transforming the Industry
Author: Laura B. Madsen
Publisher: John Wiley & Sons
ISBN: 1118973895
Category: Business & Economics
Page: 224
View: 1123

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Healthcare is changing, and data is the catalyst Data is taking over in a powerful way, and it's revolutionizingthe healthcare industry. You have more data available than everbefore, and applying the right analytics can spur growth. Benefitsextend to patients, providers, and board members, and thetechnology can make centralized patient management a reality.Despite the potential for growth, many in the industry andgovernment are questioning the value of data in health care,wondering if it's worth the investment. Data-Driven Healthcare: How Analytics and BI are Transformingthe Industry tackles the issue and proves why BI is not onlyworth it, but necessary for industry advancement. Healthcare BIguru Laura Madsen challenges the notion that data have little valuein healthcare, and shows how BI can ease regulatory reportingpressures and streamline the entire system as it evolves. Madsenillustrates how a data-driven organization is created, and how itcan transform the industry. Learn why BI is a boon to providers Create powerful infographics to communicate data moreeffectively Find out how Big Data has transformed other industries, and howit applies to healthcare Data-Driven Healthcare: How Analytics and BI are Transformingthe Industry provides tables, checklists, and forms that allowyou to take immediate action in implementing BI in yourorganization. You can't afford to be behind the curve. The industryis moving on, with or without you. Data-Driven Healthcare: HowAnalytics and BI are Transforming the Industry is your guide toutilizing data to advance your operation in an industry wheredata-fueled growth will be the new norm.

Data-Driven Decision-Making in Schools: Lessons from Trinidad


Author: J. Yamin-Ali
Publisher: Springer
ISBN: 1137412399
Category: Education
Page: 151
View: 840

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Yamin-Ali shows how schools can undertake responsible decision-making through gathering and evaluating data, using as examples six fully developed case studies that shed light on common questions of school culture and student life, including student stress, subject selection, and the role of single-sex classes.

Data Driven

How Performance Analytics Delivers Extraordinary Sales Results
Author: Jenny Dearborn
Publisher: John Wiley & Sons
ISBN: 1119043360
Category: Business & Economics
Page: 256
View: 6149

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A "how-to" guide to boosting sales through predictive andprescriptive analytics Data Driven is a uniquely practical guide to increasingsales success, using the power of data analytics. Written by one ofthe world's leading authorities on the topic, this book shows youhow to transform the corporate sales function by leveraging bigdata into better decision-making, more informed strategy, andincreased effectiveness throughout the organization. Engaging andinformative, this book tells the story of a newly hired sales chiefunder intense pressure to deliver higher performance from her team,and how data analytics becomes the ultimate driver behind the salesfunction turnaround. Each chapter features insightful commentaryand practical notes on the points the story raises, and one entirechapter is devoted solely to laying out the Prescriptive ActionModel step-by-step giving you the actionable guidance you need toput it into action in your own organization. Predictive and prescriptive analytics is poised to changecorporate sales, and companies that fail to adapt to the newrealities and adopt the new practices will be left behind. Thisbook explains why the Prescriptive Action Model is the keycorporate sales weapon of the 21st Century, and how you canimplement this dynamic new resource to bring value to yourbusiness. Exploit one of the last remaining sources of competitiveadvantage Re-engineer the sales function to optimize success rates Implement a more effective analytics model to drive efficientchange Boost operational effectiveness and decision making with bigdata There are fewer competitive edges to gain than ever before. Theonly thing that's left is to execute business with maximumefficiency and make the smartest business decisions possible.Predictive analytics is the essential method behind this newstandard, and Data Driven is the practical guide tocomplete, efficient implementation.

Data-Driven Methods for Adaptive Spoken Dialogue Systems

Computational Learning for Conversational Interfaces
Author: Oliver Lemon,Olivier Pietquin
Publisher: Springer Science & Business Media
ISBN: 1461448034
Category: Computers
Page: 178
View: 7495

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Data driven methods have long been used in Automatic Speech Recognition (ASR) and Text-To-Speech (TTS) synthesis and have more recently been introduced for dialogue management, spoken language understanding, and Natural Language Generation. Machine learning is now present “end-to-end” in Spoken Dialogue Systems (SDS). However, these techniques require data collection and annotation campaigns, which can be time-consuming and expensive, as well as dataset expansion by simulation. In this book, we provide an overview of the current state of the field and of recent advances, with a specific focus on adaptivity.

Data-driven iOS Apps for iPad and iPhone with FileMaker Pro, Bento by FileMaker, and FileMaker Go


Author: Jesse Feiler
Publisher: Pearson Education
ISBN: 9780132652704
Category: Computers
Page: 432
View: 5098

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Use FileMaker® technologies to create powerful mobile data apps for iPhone®, iPod® touch, and iPad™ Apple’s FileMaker technologies make it easy to create powerful, data-driven apps for iPhone, iPod touch, iPad, and any mobile device’s web browser. In this book, leading FileMaker and iOS expert Jesse Feiler teaches you all the skills and techniques you’ll need, whether you’re a developer, knowledge worker, or manager. Feiler thoroughly reviews each strategy for delivering mobile data using FileMaker Pro, FileMaker Server, FileMaker Go, and Bento. You’ll learn how mobile data-driven apps are different from traditional desktop-driven apps, and how to create highly usable interfaces for them. Step by step, Feiler demonstrates how to extend existing databases to mobile devices and the web, and how to create and optimize brand-new databases for iPad and iPhone. This book brings together core principles, practical development techniques, and proven tips and shortcuts. You’ll discover the best ways to incorporate printing, touch interface elements, and location-based features into your apps; integrate data from multiple FileMaker and non-FileMaker sources; and much more. • Use FileMaker Go apps to access FileMaker databases hosted on FileMaker Server or FileMaker Pro, or databases resident on a mobile device • Move FileMaker Pro databases, scripts, and layouts to mobile environments • Develop easy-to-use interfaces for mobile data apps • Design FileMaker Go solutions for iPhone, iPad, or both • Optimize FileMaker databases for FileMaker Go • Integrate printing and charting features into your mobile database apps • Use Bento to share data and synchronize libraries • Work effectively with Bento records, fields, forms, and tables • Build location-aware database apps for iOS mobile devices • Import/export data from Bento, FileMaker, spreadsheets, and other sources • Move FileMaker databases to the web with IWP, CWP, and FileMaker Server Jesse Feiler is a developer, web designer, trainer, and author. He has worked with Apple mobile devices from Newton through iPad and has worked with FileMaker technologies since 1984. Feiler created ChamplainArts.com’s powerful iPad meeting management app MinutesMachine. His books include Using FileMaker Bento, Sams Teach Yourself Drupal in 24 Hours, The Bento Book, and FileMaker Pro 10 in Depth. quepublishing.com northcountryconsulting.com

Data-Driven Controller Design

The H2 Approach
Author: Alexandre Sanfelice Bazanella,Lucíola Campestrini,Diego Eckhard
Publisher: Springer Science & Business Media
ISBN: 9789400723009
Category: Technology & Engineering
Page: 208
View: 3473

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Data-Based Controller Design presents a comprehensive analysis of data-based control design. It brings together the different data-based design methods that have been presented in the literature since the late 1990’s. To the best knowledge of the author, these data-based design methods have never been collected in a single text, analyzed in depth or compared to each other, and this severely limits their widespread application. In this book these methods will be presented under a common theoretical framework, which fits also a large family of adaptive control methods: the MRAC (Model Reference Adaptive Control) methods. This common theoretical framework has been developed and presented very recently. The book is primarily intended for PhD students and researchers - senior or junior - in control systems. It should serve as teaching material for data-based and adaptive control courses at the graduate level, as well as for reference material for PhD theses. It should also be useful for advanced engineers willing to apply data-based design. As a matter of fact, the concepts in this book are being used, under the author’s supervision, for developing new software products in a automation company. The book will present simulation examples along the text. Practical applications of the concepts and methodologies will be presented in a specific chapter.

Advanced Information Systems Engineering

16th International Conference, CAiSE 2004, Riga, Latvia, June 7-11, 2004, Proceedings
Author: Anne Persson,Janis Stirna
Publisher: Springer Science & Business Media
ISBN: 3540221514
Category: Computers
Page: 598
View: 3745

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th CAiSE 2004 was the 16 in the series of International Conferences on Advanced Information Systems Engineering. In the year 2004 the conference was hosted by the Faculty of Computer Science and Information Technology, Riga Technical University, Latvia. Since the late 1980s, the CAiSE conferences have provided a forum for the presentation and exchange of research results and practical experiences within the ?eld of Information Systems Engineering. The conference theme of CAiSE 2004 was Knowledge and Model Driven Information Systems Engineering for Networked Organizations. Modern businesses and IT systems are facing an ever more complex en- ronment characterized by openness, variety, and change. Organizations are - coming less self-su?cient and increasingly dependent on business partners and other actors. These trends call for openness of business as well as IT systems, i.e. the ability to connect and interoperate with other systems. Furthermore, organizations are experiencing ever more variety in their business, in all c- ceivable dimensions. The di?erent competencies required by the workforce are multiplying. In the same way, the variety in technology is overwhelming with a multitude of languages, platforms, devices, standards, and products. Moreover, organizations need to manage an environment that is constantly changing and where lead times, product life cycles, and partner relationships are shortening. ThedemandofhavingtoconstantlyadaptITtochangingtechnologiesandbu- ness practices has resulted in the birth of new ideas which may have a profound impact on the information systems engineering practices in future years, such as autonomic computing, component and services marketplaces and dynamically generated software.

Data-driven Block Ciphers for Fast Telecommunication Systems


Author: Nikolai Moldovyan,Alexander A. Moldovyan
Publisher: CRC Press
ISBN: 9781420054125
Category: Computers
Page: 208
View: 5013

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The Most Progressive and Complete Guide to DDO-Based Ciphers Developers have long recognized that ciphers based on Permutation Networks (PNs) and Controlled Substitution-Permutation Networks (CSPNs) allow for the implementation of a variety of Data Driven Operations (DDOs). These DDOs can provide fast encryption without incurring excessive hardware costs in modern telecommunication networks. However, until now, with a few exceptions, most DDO-based ciphers have been poorly represented in available literature and have continued to remain known to only a small number of encryption experts. In Data-Driven Block Ciphers for Fast Telecommunication Systems, Nikolai Moldovyan and Alexander Moldovyan, major innovators and holders of several dozen international patents in encryption technology, provide the background and detail the applications needed to investigate new properties of PNs especially relevant to the improvement of modern wireless systems.Furthermore, they propose a universal architecture involving controlled bit permutation instruction that will permit the performance of both data-driven permutations and an arbitrary prescribed fixed permutation in a single cycle. Immediately improved efficiency for current and future fast telecommunication systems and mobile networks Because of its simplicity and efficient use of current hardware, the embedding of this architecture is a highly attractive option for CPU manufacturers.By detailing all the relevant information into a single volume for the first time, the authors of this book make that option more feasible than ever before.

Data-driven Design of Fault Diagnosis and Fault-tolerant Control Systems


Author: Steven X. Ding
Publisher: Springer Science & Business Media
ISBN: 1447164105
Category: Technology & Engineering
Page: 300
View: 4546

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Data-driven Design of Fault Diagnosis and Fault-tolerant Control Systems presents basic statistical process monitoring, fault diagnosis, and control methods and introduces advanced data-driven schemes for the design of fault diagnosis and fault-tolerant control systems catering to the needs of dynamic industrial processes. With ever increasing demands for reliability, availability and safety in technical processes and assets, process monitoring and fault-tolerance have become important issues surrounding the design of automatic control systems. This text shows the reader how, thanks to the rapid development of information technology, key techniques of data-driven and statistical process monitoring and control can now become widely used in industrial practice to address these issues. To allow for self-contained study and facilitate implementation in real applications, important mathematical and control theoretical knowledge and tools are included in this book. Major schemes are presented in algorithm form and demonstrated on industrial case systems. Data-driven Design of Fault Diagnosis and Fault-tolerant Control Systems will be of interest to process and control engineers, engineering students and researchers with a control engineering background.

Data-Driven Modeling & Scientific Computation

Methods for Complex Systems & Big Data
Author: J. Nathan Kutz
Publisher: OUP Oxford
ISBN: 019163588X
Category: Language Arts & Disciplines
Page: 608
View: 6226

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The burgeoning field of data analysis is expanding at an incredible pace due to the proliferation of data collection in almost every area of science. The enormous data sets now routinely encountered in the sciences provide an incentive to develop mathematical techniques and computational algorithms that help synthesize, interpret and give meaning to the data in the context of its scientific setting. A specific aim of this book is to integrate standard scientific computing methods with data analysis. By doing so, it brings together, in a self-consistent fashion, the key ideas from: · statistics, · time-frequency analysis, and · low-dimensional reductions The blend of these ideas provides meaningful insight into the data sets one is faced with in every scientific subject today, including those generated from complex dynamical systems. This is a particularly exciting field and much of the final part of the book is driven by intuitive examples from it, showing how the three areas can be used in combination to give critical insight into the fundamental workings of various problems. Data-Driven Modeling and Scientific Computation is a survey of practical numerical solution techniques for ordinary and partial differential equations as well as algorithms for data manipulation and analysis. Emphasis is on the implementation of numerical schemes to practical problems in the engineering, biological and physical sciences. An accessible introductory-to-advanced text, this book fully integrates MATLAB and its versatile and high-level programming functionality, while bringing together computational and data skills for both undergraduate and graduate students in scientific computing.

Data-Driven Modeling: Using MATLAB® in Water Resources and Environmental Engineering


Author: Shahab Araghinejad
Publisher: Springer Science & Business Media
ISBN: 9400775067
Category: Science
Page: 292
View: 6012

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“Data-Driven Modeling: Using MATLAB® in Water Resources and Environmental Engineering” provides a systematic account of major concepts and methodologies for data-driven models and presents a unified framework that makes the subject more accessible to and applicable for researchers and practitioners. It integrates important theories and applications of data-driven models and uses them to deal with a wide range of problems in the field of water resources and environmental engineering such as hydrological forecasting, flood analysis, water quality monitoring, regionalizing climatic data, and general function approximation. The book presents the statistical-based models including basic statistical analysis, nonparametric and logistic regression methods, time series analysis and modeling, and support vector machines. It also deals with the analysis and modeling based on artificial intelligence techniques including static and dynamic neural networks, statistical neural networks, fuzzy inference systems, and fuzzy regression. The book also discusses hybrid models as well as multi-model data fusion to wrap up the covered models and techniques. The source files of relatively simple and advanced programs demonstrating how to use the models are presented together with practical advice on how to best apply them. The programs, which have been developed using the MATLAB® unified platform, can be found on extras.springer.com. The main audience of this book includes graduate students in water resources engineering, environmental engineering, agricultural engineering, and natural resources engineering. This book may be adapted for use as a senior undergraduate and graduate textbook by focusing on selected topics. Alternatively, it may also be used as a valuable resource book for practicing engineers, consulting engineers, scientists and others involved in water resources and environmental engineering.

Data-Driven Process Discovery and Analysis

First International Symposium, SIMPDA 2011, Campione D’Italia, Italy, June 29 – July 1, 2011, Revised Selected Papers
Author: Karl Aberer,Ernesto Damiani,Tharam Dillon
Publisher: Springer
ISBN: 364234044X
Category: Computers
Page: 213
View: 7361

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This book constitutes the thoroughly refereed proceedings of the First International Symposium on Data-Driven Process Discovery and Analysis held in Campione d'Italia, Italy, in June/July 2011. The 11 revised full papers were carefully selected from 31 submissions. In addition to the thorough review process, the lively discussions at the event itself also helped the authors to improve their papers and to foster interesting extensions. The selected papers cover a wide range of topics spanning from theoretical issues related to process representation to practical experience in process discovery and analysis.

Data Driven

Profiting from Your Most Important Business Asset
Author: Thomas C. Redman
Publisher: Harvard Business Press
ISBN: 1422163644
Category: Business & Economics
Page: 257
View: 2258

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Your company's data has the potential to add enormous value to every facet of the organization -- from marketing and new product development to strategy to financial management. Yet if your company is like most, it's not using its data to create strategic advantage. Data sits around unused -- or incorrect data fouls up operations and decision making. In Data Driven, Thomas Redman, the "Data Doc," shows how to leverage and deploy data to sharpen your company's competitive edge and enhance its profitability. The author reveals: · The special properties that make data such a powerful asset · The hidden costs of flawed, outdated, or otherwise poor-quality data · How to improve data quality for competitive advantage · Strategies for exploiting your data to make better business decisions · The many ways to bring data to market · Ideas for dealing with political struggles over data and concerns about privacy rights Your company's data is a key business asset, and you need to manage it aggressively and professionally. Whether you're a top executive, an aspiring leader, or a product-line manager, this eye-opening book provides the tools and thinking you need to do that.

Domain Driven Data Mining


Author: Longbing Cao,Philip S. Yu,Chengqi Zhang,Yanchang Zhao
Publisher: Springer Science & Business Media
ISBN: 1441957375
Category: Computers
Page: 248
View: 4503

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This book offers state-of the-art research and development outcomes on methodologies, techniques, approaches and successful applications in domain driven, actionable knowledge discovery. It bridges the gap between business expectations and research output.

Tools and Techniques for Effective Data-driven Decision Making


Author: Philip Alan Streifer,George A. Goens
Publisher: R&L Education
ISBN: 9781578861231
Category: Education
Page: 160
View: 2198

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Philip A. Streifer provides readers with a comprehensive understanding of what data-driven decision making can and cannot tell educators about student achievement and addresses the related issues for leadership, policy development, and accountability.

Hydrological Data Driven Modelling

A Case Study Approach
Author: Renji Remesan,Jimson Mathew
Publisher: Springer
ISBN: 3319092359
Category: Science
Page: 250
View: 1968

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This book explores a new realm in data-based modeling with applications to hydrology. Pursuing a case study approach, it presents a rigorous evaluation of state-of-the-art input selection methods on the basis of detailed and comprehensive experimentation and comparative studies that employ emerging hybrid techniques for modeling and analysis. Advanced computing offers a range of new options for hydrologic modeling with the help of mathematical and data-based approaches like wavelets, neural networks, fuzzy logic, and support vector machines. Recently machine learning/artificial intelligence techniques have come to be used for time series modeling. However, though initial studies have shown this approach to be effective, there are still concerns about their accuracy and ability to make predictions on a selected input space.