Central Library, KUET Search for 'se,phr:"Wiley and SAS business series."'

The executive's guide to enterprise social media strategy : how social networks are radically transforming your business /

]]> By Thomas, David B.,.
Hoboken, N.J. : Wiley, 2011 .
1 online resource (204 pages). 9781119200796 | 1119200792 | 9781118005217 | 111800521X | 9781118005231 | 1118005236

]]> Place hold on The executive's guide to enterprise social media strategy :

Business analytics for Sales and Marketing Managers : How to Compete in the Information Age /

]]> By Laursen, Gert H. N..
Hoboken, N.Y. : John Wiley & Sons, 2011 .
1 online resource (xiii, 242 pages). 9781119200673 | 1119200679 | 9781118030363 | 1118030362 | 9781118030370 | 1118030370 | 9781118030387 | 1118030389

]]> Place hold on Business analytics for Sales and Marketing Managers :

Connecting organizational silos taking knowledge flow management to the next level with social media /

]]> By Leistner, Frank..
Hoboken, N.J. : John Wiley & Sons, 2012 .
1 online resource. 9781119205258 | 1119205255 | 1118386434 (cloth) | 9781118386439 (cloth) | 9781118320853 | 1118320859

]]> Place hold on Connecting organizational silos

Bricks matter : the role of supply chains in building market-driven differentiation /

]]> By Cecere, Lora M..
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1 online resource. , Includes index. 9781119203384 | 1119203384

]]> Place hold on Bricks matter :

Delivering business analytics practical guidelines for best practice /

]]> By Stubbs, Evan..
Hoboken, N.J. : Wiely, 2013 .
1 online resource. 9781119203674 | 1119203678 | 9781118559543 | 1118559541 | 9781118559444 | 1118559444

]]> Place hold on Delivering business analytics

Demand-driven forecasting : a structured approach to forecasting /

]]> By Chase, Charles..
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1 online resource. 9781118735640 | 1118735641 | 9781118735572 | 1118735579 | 1118669398 | 9781118669396

]]> Place hold on Demand-driven forecasting :

Health analytics : gaining the insights to transform health care /

]]> By Burke, Jason,.
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1 online resource. , Includes index. 9781118733950 (epub) | 1118733959 (epub) | 9781118734278 (pdf) | 1118734270 (pdf) | 9781118734100 ( mobipocket) | 1118734106 ( mobipocket) | 9781118734896 | 1118734890

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Business intelligence and the cloud : strategic implementation guide /

]]> By Gendron, Michael S.,.
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1 online resource. , Includes index. 9781118859841 (epub) | 1118859847 (epub) | 9781118859742 (pdf) | 111885974X (pdf) | 9781118915240 | 1118915240 | 9781306550659 | 1306550653

]]> Place hold on Business intelligence and the cloud :

Business transformation : a roadmap for maximizing organizational insights /

]]> By Zeid, Aiman..
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1 online resource. , Includes index. 9781118891612 | 1118891619 | 9781118891483 | 1118891481 | 9781118891544 | 1118891546 | 1118724658 | 9781118724651

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Bank fraud : using technology to combat losses /

]]> By Subramanian, Revathi..
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1 online resource. 9781118233979 | 1118233972 | 9781118220320 | 1118220323 | 9781118886168 | 111888616X

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Implement, improve and expand your statewide longitudinal data system : creating a culture of data in education /

]]> By McQuiggan, Jamie..
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1 online resource. , Machine generated contents note: Preface Acknowledgments Chapter 1: How to Establish a Successful SLDS What is a Statewide Longitudinal Data System? What an SLDS can do that Sneaker Net cannot What it takes to implement (or improve) a successful SLDS Preview Notes Chapter 2: The SLDS Landscape History of longitudinal data systems The State of SLDSs Today Data Management Models Conclusion Notes Chapter 3: Getting Started on your SLDS SLDS Planning & Preparation Establish a Data Governance Board Address Interoperability of the data Set policies for Data Security and Student Privacy Evaluate Current Systems and Make Connections Make it Sustainable Conclusion Notes Chapter 4: Data Management: Creating One Version of the Truth What is Master Data Management? Incorporating MDM Principles in your SLDS Conclusion Notes Chapter 5 Florida Case Study: The Up and Downside of Being the First Florida's SLDS Renovating what exists using Federal grants Conclusion Notes Chapter 6 Michigan's SLDS: A Tool for Reinventing the Economy Michigan's SLDS: Moving Beyond Compliance Career & College Ready Initiative: how longitudinal data can inform the discussion Conclusion Notes Chapter 7 North Carolina Case Study Stakeholders and the NC P20W system The Vision State Legislation reinforcing SLDS Conclusion Notes Chapter 8: Sharing Information with Others Public Information Sharing: What information is the public entitled to and interested in? Policymakers and state-level decision makers: How can legislators enable and use longitudinal data? Researchers: How can states leverage researchers to make the longitudinal data answer key questions? Establishing the Connection with Academia Parents: What do parents need to have access to in an SLDS, and how will it make a difference? Students: How can an SLDS provide students with more intuitive, instant access to their own student record? Conclusion Notes Chapter 9: Using Data in Schools and Classrooms Teachers Administrators The Teacher-Student Record Link Conclusion Notes Chapter 10: Expanding your SLDS: Adding Out of School Time and Health Care Data Collective Impact: the longitudinal data connection OST: What happens when they're not in school? Health Care Data How to facilitate collective impact initiatives Conclusion Notes Chapter 11: A Culture of Data: Using longitudinal data to solve big problems Creating a Culture of Data Data Driven Decision Tools Response to Intervention (RTI) Early Warning Systems Conclusion Notes Chapter 12: It's Not About the Data Ways to Sustain the System Conclusion Notes About the Author(s) Index . 9781118841549 (epub) | 1118841549 (epub) | 9781118841501 (pdf) | 1118841506 (pdf) | 9781118841563 | 1118841565 | 1118466772 | 9781118466773 | 9781306412377 | 1306412374

]]> Place hold on Implement, improve and expand your statewide longitudinal data system :

Analytics in a big data world : the essential guide to data science and its applications /

]]> By Baesens, Bart..
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1 online resource. 9781119204183 | 1119204186 | 9781118892718 | 1118892712 | 9781118892749 | 1118892747 | 9781306685030 | 1306685036

]]> Place hold on Analytics in a big data world :

Big data, data mining and machine learning : value creation for business leaders and practitioners /

]]> By Dean, Jared,.
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1 online resource. 9781118920695 | 1118920694 | 9781118920701 | 1118920708

]]> Place hold on Big data, data mining and machine learning :

Harness oil and gas big data with analytics : optimize exploration and production with data driven models /

]]> By Holdaway, Keith R..
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1 online resource. , Includes index. | Machine generated contents note: Preface Chapter 01: Fundamentals of Soft Computing Current Landscape in Upstream Data Analysis Evolution from Plato to Aristotle Descriptive and Predictive Models The SEMMA Process High Performance Analytics Three Tenets of Upstream Data Exploration and Production Value Propositions Oilfield Analytics I am a ... Notes Chapter 02: Data Management Exploration and Production Value Proposition Data Management Platform Array of Data Repositories Structured Data and Unstructured Data Extraction, Transformation, and Loading Processes Big Data Big Analytics Standard Data Sources Case Study: Production Data Quality Control Framework Best Practices Notes Chapter 03: Seismic Attribute Analysis Exploration and Production Value Propositions Time-Lapse Seismic Exploration Seismic Attributes Reservoir Characterization Reservoir Management Seismic Trace Analysis Case Studies Reservoir Properties defined by Seismic Attributes Notes Chapter 04 Reservoir Characterization and Simulation Exploration and Production Value Propositions Exploratory Data Analysis Reservoir Characterization Cycle Traditional Data Analysis Reservoir Simulation Models Case Studies Notes Chapter 05: Drilling and Completion Optimization Exploration and Production Value Propositions Workflow One: Mitigation of Non-Productive Time Workflow Two: Drilling Parameter Optimization 5.5 Case Studies: Steam Assisted Gravity Drainage Completion Notes Chapter 06: Reservoir Management Exploration and Production Value Propositions Digital Oilfield of the Future Analytical Centers of Excellence Analytical Workflows: Best Practices Case Studies Notes Chapter 07: Production Forecasting Exploration and Production Value Propositions Web-Based Decline Curve Analysis Solution Unconventional Reserves Estimation Case Study: Oil Production Prediction for Infill Well Notes Chapter 08: Production Optimization Exploration and Production Value Propositions Case Studies Notes Chapter 09: Exploratory and Predictive Data Analysis Exploration and Production Value Propositions EDA Components EDA Statistical Graphs and Plots Ensemble Segmentations Data Visualization Case Studies Notes Chapter 10: Big Data: Structured and Unstructured Exploration and Production Value Propositions Hybrid Expert and Data Driven System Case Studies Multivariate Geostatistics Big Data Workflows Integration of Soft Computing Techniques Notes Glossary About the Author Index. 9781118910955 | 1118910958 | 9781118910894 | 1118910893

]]> Place hold on Harness oil and gas big data with analytics :

Big Data Analytics : Turning Big Data into Big Money.

]]> By Ohlhorst, Frank J..
Hoboken : Wiley, 2012 .
1 online resource (176 pages). 9781119205005 | 111920500X

]]> Place hold on Big Data Analytics :

Developing human capital : using analytics to plan and optimize your learning and development investments /

]]> By Pease, Gene,.
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1 online resource. 9781118910986 | 1118910982 | 9781118910887 | 1118910885 | 111875350X | 9781118753507 | 9781306908290 | 1306908299

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Understanding the predictive analytics lifecycle /

]]> By Cordoba, Alberto,.
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1 online resource. , Machine generated contents note: Foreword Preface Acknowledgments Chapter 1 Problem Identification and Definition Importance of Clear Business Objectives Office Politics Note Chapter 2 Design and Build The Managing Phase The Planning Phase The Delivery Phase Notes Chapter 3 Data Acquisition Data: the Fuel for Analytics A Data Scientist's Job Notes Chapter 4 Exploration and Reporting Visualization Cloud Reporting Chapter 5 Modeling Churn Model Risk Scoring Model Notes Chapter 6 Actionable Analytics Digital Asset Management Social Media Chapter 7 Feedback What the Different Software Components Should Do Note Conclusion Appendix: Useful Questions Bibliography About the Author Index . 9781118938928 (epub) | 1118938925 (epub) | 9781118938935 (pdf) | 1118938933 (pdf) | 9781118936740 | 1118936744 | 1118867106 | 9781118867105 | 9781322024462 | 1322024464

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Predictive analytics for human resources /

]]> By Fitz-enz, Jac..
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1 online resource. , Includes index. | Machine generated contents note: Foreword Preface Chapter 1: Where's The Value? Some Basics What Is Analytics? Two Values Analytic Capabilities Analytic Value Chain The Analytic Model A Typical Application Training Value Measurement Model Inside The Data Notes Chapter 2: Getting Started Go-to-Market Models Assessment Developmental Experiences Financial Connections A Sample Case Focusing on the Purpose Present Day Needs How Human Capital Analytics Is Being Used Turning Data into Information Three Value Paths Solving a Problem An Essential Step The Prime Question A Case in Point Preparing For an Analytics Unit Ten Steps for an Analytics Unit Structure and Team Building Developing an Analytics Culture Notes Chapter 3: What You Will Need Dealing with the C-Level Breaking Through Research Recruiting a Sponsor or Champion Making the Sale A Selling Example Working with Consultants and Coaches Designing and Delivering Reports Making an Impact Process Management Preparation Notes Chapter 4: Data Issues Efficiency Measures Effectiveness Measures Business Outcome Measures Note Chapter 5: Predictive Statistics Examples Begin with the End in Mind Go Back to the Beginning Who Owns It and Will They Share It? What Will You Do with It? What Form Is It In? Is There Sufficient Quality? Note Chapter 6: Predictive Analytics in Action First Step: Determine the Key Performance Indicators Second Step: Analyze and Report the Data Relationships, Optimization, and Predictive Analytics Predictive Analytics Interpreting the Results Predicting the Future Structural Equation Modeling Notes Chapter 7: Predicting the Future of Human Capital Analytics What Does the Future Look Like? Bringing It All Together What Does the Future Look Like? Notes Epilogue Appendix: Example Measures of Efficiency Effectiveness and Outcomes About the Authors Index. 9781118940709 | 1118940709 | 9781118940693 | 1118940695 | 1118893670 | 9781118893678

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Big data, big innovation : enabling competitive differentiation through business analytics /

]]> By Stubbs, Evan..
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1 online resource. , Includes index. 9781118925539 | 111892553X | 9781118925522 | 1118925521 | 111872464X | 9781118724644

]]> Place hold on Big data, big innovation :

Financial institution advantage and the optimization of information processing /

]]> By Keenan, Sean C.,.
.
1 online resource. 9781119053224 | 1119053226 | 9781119053040 | 1119053048 | 9781119053309 | 1119053307 | 1119044170 | 9781119044178 | 9781322950211 | 1322950210

]]> Place hold on Financial institution advantage and the optimization of information processing /

Mobile learning : a handbook for developers, educators, and learners /

]]> By McQuiggan, Scott..
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1 online resource. , Machine generated contents note: Preface Acknowledgments Chapter 1: Changing Education with Mobile Learning A Brief History of Educational Technology: What willrevolutionize the system? Mobile Learning: Reaching Kids Today What is Mobile Learning? Benefits and Challenges of Mobile Learning How to Make Mobile Learning Work Conclusion Notes Section 1: The Mobile Classroom Chapter 2: The Science of Learning Introduction Information Processing and Learning Other Critical Facets of Learning Implications for Mobile Learning Conclusion Notes Chapter 3: What Is It about These Devices? Connected Aware Multimodal Familiar Personal Comprehensive Consolidated Portable Relevant Secure Conclusion Notes Chapter 4: Creating the Mobile Classroom Theoretical Foundations Instructional Methods Alternative Learning Environments Conclusion Notes Chapter 5: Higher-Order Thinking Skills and DigitalFluency Higher-Order Thinking Skills Classrooms for Higher-Order Thinking Conclusion Notes Chapter 6: Instructional Management and Levels of TechnologyAccess Mobile Learning Programs Levels of Access in the Mobile Classroom Conclusion Notes Section 2: Creating the Mobile Learning Experience Chapter 7: Mobile Technology's Defining Features Hardware Software Accessories Conclusion Notes Chapter 8: The Educational App Development Process Research Stage: Is It a Good Idea? Building the Right Team: Capturing a Variety of Expertise Building the App Case Study: App Development at SAS Curriculum Pathways Conclusion Notes Chapter 9: Design and User Experience Designing a Great App: Make It Easy Putting Great Design to Work Conclusion Notes Chapter 10: Data, Evaluation, and Learning Analytics Asking the Questions Gathering Data Mobile Data Analytics: Turning Data into Information Conclusion Notes Chapter 11: The Business of Educational Apps The Educational App Market is ... How to Sell Your App: Pricing Models How Users Buy Your App Marketing Conclusion Notes Section 3: Mobile Learning for Everyone Chapter 12: Informal Learning Developing Lifelong Learners Bridging Formal and Informal Learning Conclusion Notes Chapter 13: Engaging Young Users: Apps for Preschoolers Key Skills for Preschool Apps What Makes an Engaging Preschool App? Challenges Conclusion Notes Chapter 14: Making Accessible Apps: Autism and VisualImpairment Introduction Advantages of the iPad for Special Populations Autism and Autism Spectrum Disorders (ASD) Visual Impairment Developing Accessible Apps Conclusion Notes Chapter 15: Balancing Power: Data Use, Privacy and Digital Citizenship Privacy Conclusion Notes Chapter 16: Mobile Learning Today and Tomorrow Introduction Making Mobile Learning Work The Future Conclusion Notes Appendix A: List of Apps by Chapter Appendix B: The Great App Checklist How to Use This Checklist The Great App Checklist Notes About the Authors Index. 9781118938959 | 111893895X | 9781118894286 | 1118894286

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Agile by design : an implementation guide to analytic lifecycle management /

]]> By Alt-Simmons, Rachel,.
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1 online resource. 9781119177166 (epub) | 1119177162 (epub) | 9781119177159 (pdf) | 1119177154 (pdf) | 9781118936702 | 1118936701 | 1118905660 (cloth) | 9781118905661 (cloth)

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Business forecasting : practical problems and solutions /

]]> .
1 online resource. 9781119228295 (pdf) | 1119228298 (pdf) | 9781119228271 (epub) | 1119228271 (epub) | 9781119244592 | 1119244595 | 111922456X | 9781119224563

]]> Place hold on Business forecasting :

Visual six sigma : making data analysis lean /

]]> By Cox, Ian,.
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1 online resource. , Revised edition of Visual six sigma, 2010. | Includes index. | Machine generated contents note: Preface to the First Edition Preface to the Second Edition Acknowledgments About the Authors Parts and Chapters Index . 9781119222262 | 1119222265 | 9781119222255 | 1119222257

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