Driven by Data

A Practical Guide to Improve Instruction
Author: Paul Bambrick-Santoyo
Publisher: John Wiley & Sons
ISBN: 9780470594384
Category: Education
Page: 336
View: 2759

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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: 2715

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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: 7165

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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.

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: 8548

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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 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: 1670

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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 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: 449

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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: 4401

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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 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: 5212

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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

Profiting from Your Most Important Business Asset
Author: Thomas C. Redman
Publisher: Harvard Business Press
ISBN: 1422163644
Category: Business & Economics
Page: 257
View: 8960

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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.

Data Visualisation

A Handbook for Data Driven Design
Author: Andy Kirk
Publisher: SAGE
ISBN: 1473966310
Category: Computers
Page: 368
View: 5962

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Voted one of the 'six best books for data geeks' by The Financial Times. Read the review here Lecturers, request your electronic inspection copy Never has it been more essential to work in the world of data. Scholars and students need to be able to analyze, design and curate information into useful tools of communication, insight and understanding. This book is the starting point in learning the process and skills of data visualization, teaching the concepts and skills of how to present data and inspiring effective visual design. Benefits of this book: A flexible step-by-step journey that equips you to achieve great data visualization A curated collection of classic and contemporary examples, giving illustrations of good and bad practice Examples on every page to give creative inspiration Illustrations of good and bad practice show you how to critically evaluate and improve your own work Advice and experience from the best designers in the field Loads of online practical help, checklists, case studies and exercises make this the most comprehensive text available

Creating a Data Driven System

Author: Peter Holly
Publisher: Prentice Hall
ISBN: 9780131723955
Category: Education
Page: 197
View: 6880

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Merrill Education and ETS (Educational Testing Service) are proud to present Creatign a Data-Driven System, by Peter J. Holly (ETS2003). This brief workbook provides a model of what can be done to become a data-using system at the local level for the twin purposes of accountabilty and development. In building on current practice, this model also extrapolates from the present to the future tense by fitting the existing puzzle pieces into a more holistic, comprehensive system of date-use.

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: 9216

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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’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.

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

Author: J. Yamin-Ali
Publisher: Springer
ISBN: 1137412399
Category: Education
Page: 151
View: 8717

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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.

Hydrological Data Driven Modelling

A Case Study Approach
Author: Renji Remesan,Jimson Mathew
Publisher: Springer
ISBN: 3319092359
Category: Science
Page: 250
View: 2829

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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.

Data-Driven Modeling Using Spherical Self-Organizing Feature Maps

Author: Archana Sangole
Publisher: Universal-Publishers
ISBN: 1581123191
Category: Technology & Engineering
Page: N.A
View: 6818

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Researchers and data analysts are increasingly relying on graphical tools to assist them in modeling their data, generating their hypotheses, and gaining deeper insights on their experimentally acquired data. Recent advances in technology have made available more improved and novel modeling and analysis media that facilitate intuitive, task-driven exploratory analysis and manipulation of the displayed graphical representations. In order to utilize these emerging technologies researchers must be able to transform experimentally acquired data vectors into a visual form or secondary representation that has a simple structure and, is easily transferable into the media. As well, it is essential that it can be modified or manipulated within the display environment. This thesis presents a data-driven modeling technique that utilizes the basic learning strategy of an unsupervised clustering algorithm, called the self-organizing feature map, to adaptively learn topological associations inherent in the data and preserve them within the topology imposed by its predefined spherical lattice, thereby transforming the data into a 3D tessellated form. The tessellated graphical forms originate from a sphere thereby simplifying the process of computing its transformation parameters on re-orientation within an interactive, task-driven, graphical display medium. A variety of data sets including six sets of scattered 3D coordinate data, chaotic attractor data, the more commonly used Fisher s Iris flower data, medical numeric data, geographic and environmental data are used to illustrate the data-driven modeling and visualization mechanism. The modeling algorithm is first applied to scattered 3D coordinate data to understand the influence of the spherical topology on data organization. Two cases are examined, one in which the integrity of the spherical lattice is maintained during learning and, the second, in which the inter-node connections in the spherical lattice are adaptively changed during learning. In the analysis, scattered coordinate data of freeform objects with topology equivalent to a sphere and those whose topology is not equivalent to a sphere are used. Experiments demonstrate that it is possible to get reasonably good results with the degree of resemblance, determined by an average of the total normalized error measure, ranging from 6.2x10-5 1.1x10-3. The experimental analysis using scattered coordinate data facilitates an understanding of the algorithm and provides evidence of the topology-preserving capability of the spherical self-organizing feature map. The algorithm is later implemented using abstract, seemingly random, numeric data. Unlike in the case of 3D coordinate data, wherein the SOFM lattice is in the same coordinate frame (domain) as the input vectors, the numeric data is abstract. The criterion for deforming the spherical lattice is determined using mathematical and statistical functions as measures-of information that are tailored to reflect some aspect of meaningful, tangible, inter-vector relationships or associations embedded in the spatial data that reveal some physical aspect of the data. These measures are largely application-dependent and need to be defined by the data analyst or an expert. Interpretation of the resulting 3D tessellated graphical representation or form (glyph) is more complex and task dependent as compared to that of scattered coordinate data. Very simple measures are used in this analysis in order to facilitate discussion of the underlying mechanism to transform abstract numeric data into 3D graphical forms or glyphs. Several data sets are used in the analysis to illustrate how novel characteristics hidden in the data, and not easily apparent in the string of numbers, can be reflected via 3D graphical forms. The proposed data-driven modeling approach provides a viable mechanism to generate 3D tessellated representations of data that can be easily transferred to a graphical modeling and ana

Data-driven Business Models

Author: Alan Weber
Publisher: South-Western Pub
Category: Business & Economics
Page: 277
View: 2848

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While there are lots of works on business modeling and strategic planning, most are either theoretical abstractions or models driven by financial formulas rather than by "where the money is"-in a company's customers and their unmet needs and wants. On the other hand, there are books on data mining and related subjects, but they either get hung up with the technical execution or limit themselves to the marketing perspective. Data-Driven Business Models will marry the best of both. Using measured performance has become a favorite topic of seminars and articles in the trades and business press. For the purposes of this book it means how you view, develop and run your business-using all of the data available to do that-and how to model and to continuously reinvent that business too meet the needs of current customers and identify and capitalize on new profitable opportunities. Theoretically every business should be concerned about this subject. But in general the idea of business models has become a matter of concern and interest for most companies beyond the level of small business--over $50 or $100 million in annual sales up through the Fortune 100.

Data-Driven Process Discovery and Analysis

Second IFIP WG 2.6, 2.12 International Symposium, SIMPDA 2012, Campione d'Italia, Italy, June 18-20, 2012, Revised Selected Papers
Author: Philippe Cudré-Mauroux,Paolo Ceravolo,Dragan Gaševic
Publisher: Springer
ISBN: 3642409199
Category: Computers
Page: 113
View: 8268

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This book constitutes the thoroughly refereed proceedings of the Second International Symposium on Data-Driven Process Discovery and Analysis held in Campione d'Italia, Italy, in June 2012. The six revised full papers were carefully selected from 17 submissions. To improve the quality of the contributions the symposium fostered the discussion during the presentation, giving authors the opportunity to improve their work extending the presented results. The selected papers cover topics spanning from theoretical issues related to process representation, discovery and analysis to practical and operational experiences in process discovery and analysis.

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: 6671

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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.

Data-Driven Instructional Leadership

Author: Rebecca J. Blink
Publisher: Routledge
ISBN: 1317820045
Category: Education
Page: 142
View: 4435

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With real-world examples from actual schools, this book shows you how to nurture a culture of continuous improvement, meet the needs of individual students, foster an environment of high expectations, and meet the requirements of NCLB.

Data Driven

Author: DJ Patil,Hilary Mason
Publisher: "O'Reilly Media, Inc."
ISBN: 1491925485
Category: Computers
Page: 30
View: 6306

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Succeeding with data isn’t just a matter of putting Hadoop in your machine room, or hiring some physicists with crazy math skills. It requires you to develop a data culture that involves people throughout the organization. In this O’Reilly report, DJ Patil and Hilary Mason outline the steps you need to take if your company is to be truly data-driven—including the questions you should ask and the methods you should adopt. You’ll not only learn examples of how Google, LinkedIn, and Facebook use their data, but also how Walmart, UPS, and other organizations took advantage of this resource long before the advent of Big Data. No matter how you approach it, building a data culture is the key to success in the 21st century. You’ll explore: Data scientist skills—and why every company needs a Spock How the benefits of giving company-wide access to data outweigh the costs Why data-driven organizations use the scientific method to explore and solve data problems Key questions to help you develop a research-specific process for tackling important issues What to consider when assembling your data team Developing processes to keep your data team (and company) engaged Choosing technologies that are powerful, support teamwork, and easy to use and learn