LEADER 04259nam 22006974a 450 001 9910452229103321 005 20210527210308.0 010 $a1-281-72257-X 010 $a9786611722579 010 $a0-300-13391-X 024 7 $a10.12987/9780300133912 035 $a(CKB)1000000000472076 035 $a(StDuBDS)BDZ0022168120 035 $a(SSID)ssj0000105167 035 $a(PQKBManifestationID)11140714 035 $a(PQKBTitleCode)TC0000105167 035 $a(PQKBWorkID)10086599 035 $a(PQKB)11765215 035 $a(StDuBDS)EDZ0000157767 035 $a(MiAaPQ)EBC3420071 035 $a(DE-B1597)484977 035 $a(OCoLC)1083583088 035 $a(DE-B1597)9780300133912 035 $a(Au-PeEL)EBL3420071 035 $a(CaPaEBR)ebr10170761 035 $a(CaONFJC)MIL172257 035 $a(OCoLC)923589210 035 $a(EXLCZ)991000000000472076 100 $a20011108d2002 uy 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt 182 $cc 183 $acr 200 10$aArchaeology at La Isabela$b[electronic resource] $eAmerica's first European town /$fKathleen Deagan and Jose? Mari?a Cruxent 210 $aNew Haven $cYale University Press$dc2002 215 $a1 online resource (1 online resource (xxxi, 377 p.) )$cill., maps 300 $aBibliographic Level Mode of Issuance: Monograph 311 0 $a0-300-09041-2 320 $aIncludes bibliographical references (p. [355]-377) and index. 327 $tFront matter --$tCONTENTS --$tList of Figures --$tList of Tables --$tPreface --$tAcknowledgments --$t1. Columbus and La Isabela --$t2.The Taínos at La Isabela --$t3. The Geographical and Cultural Landscape of Columbus's Colony --$t4. Excavations at El Castillo --$t5. The Medieval Enclave: Organization of Space at La Isabela --$t6. La Isabela's Buildings --$t7. Starvation in Paradise: Food and Subsistence at La Isabela --$t8. Living in Bohíos: Domestic Life at La Isabela --$t9. Soldiers and Horsemen at La Isabela --$t10. Artisans and Craftsmen at La Isabela --$t11. Aftermath and Transformation --$tAPPENDIX I. Supplies and Items Brought to La Isabela --$tAPPENDIX II. Horizontal Distribution of Artifact Categories --$tAPPENDIX III. Items Excavated at La Isabela --$tAPPENDIX IV. Potentially Undisturbed Domestic Proveniences Used for Macrofaunal Analyses --$tAPPENDIX V. Compositional Analyses of Ceramics from La Isabela --$tAPPENDIX VI. Preliminary Comments on the Glass Bracelets from La Isabela --$tAPPENDIX VII. Artifact Distributions at Three Spanish Town Sites in Hispaniola --$tReferences --$tIndex 330 $aIn this important book, Kathleen Deagan and José María Cruxent present detailed technical documentation of their ten-year archaeological excavation of La Isabela, America's first colony. The artifacts and material remains of the town offer rich material for comparative research into Euro-American cultural and material development during the crucial transition from the medieval era to the Renaissance. The period when La Isabela was in existence witnessed great innovation and change in many areas of technology. The archaeological evidence of La Isabela's architecture, weaponry, numismatics, pottery, and metallurgy can be precisely dated, helping to chart the sequence of this change and revealing much that is new about late medieval technology. The authors' archaeological research also provides a foundation for their insights into the reasons for the demise of La Isabela. 606 $aExcavations (Archaeology)$zDominican Republic 606 $aSpaniards$zDominican Republic$xAntiquities 606 $aIndians$xFirst contact with Europeans 607 $aLa Isabela (Dominican Republic)$xHistory 607 $aDominican Republic$xAntiquities 608 $aElectronic books. 615 0$aExcavations (Archaeology) 615 0$aSpaniards$xAntiquities. 615 0$aIndians$xFirst contact with Europeans. 676 $a972.93 700 $aDeagan$b Kathleen A$01047328 701 $aCruxent$b Jose? Mari?a$01047329 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910452229103321 996 $aArchaeology at La Isabela$92474833 997 $aUNINA LEADER 09780nam 22006613 450 001 9911008443803321 005 20221204090255.0 010 $a9781803232355 010 $a1803232358 035 $a(MiAaPQ)EBC30279148 035 $a(Au-PeEL)EBL30279148 035 $a(CKB)25509865600041 035 $a(OCoLC)1352967644 035 $a(OCoLC-P)1352967644 035 $a(PPN)267235690 035 $a(FR-PaCSA)88938070 035 $a(CaSebORM)9781803246758 035 $a(DE-B1597)691772 035 $a(DE-B1597)9781803232355 035 $a(FRCYB88938070)88938070 035 $a(EXLCZ)9925509865600041 100 $a20221204d2022 uy 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aData Literacy in Practice $eA Complete Guide to Data Literacy and Making Smarter Decisions with Data Through Intelligent Actions 205 $a1st ed. 210 1$aBirmingham :$cPackt Publishing, Limited,$d2022. 210 4$d©2022. 215 $a1 online resource (396 pages) 300 $aDescription based upon print version of record. 300 $aApplying Goodhart's law to KPIs 311 08$a9781803246758 311 08$a1803246758 327 $aCover -- Copyright -- Contributors -- Table of Contents -- Preface -- Part 1: Understanding the Data Literacy Conceptss -- Chapter 1: The Beginning - The Flow of Data -- Understanding data in our daily lives -- Analyzing data -- Searching and finding information -- An introduction to data literacy -- The COVID-19 pandemic -- The organizational data flow -- The DIDM journey -- The success story of The Oakland A's -- Summary -- Chapter 2: Unfolding Your Data Journey -- Growing toward data and analytics maturity -- Descriptive analyses and the data path to maturity -- Understanding descriptive analysis -- Identifying qualitative or quantitative data -- Understanding diagnostic analysis -- Understanding predictive analytics -- Understanding prescriptive analytics -- AI -- Can data save lives? A success story -- Summary -- Chapter 3: Understanding the Four-Pillar Model -- Gaining an understanding of the various aspects of data literacy -- Introducing the four fundamental pillars -- Becoming acquainted with organizational data literacy -- Discussing the significance of data management -- Defining a data and analytics approach -- The rapid growth of our data world -- Tools -- The rise of ML and AI -- Moving to the cloud -- Data literacy is a key aspect of data and analytics -- Understanding the education pillar -- Mixing the pillars -- Summary -- Chapter 4: Implementing Organizational Data Literacy -- Implementing organizational data literacy -- Planning the data literacy vision -- Communicating the data literacy vision -- Focusing on desired outcomes -- Adopting a systemic perspective -- Getting everyone involved in the whole process -- Developing a data-literate culture -- Managing change -- Driving resilience -- Managing the organization's skills and knowledge -- Creating a data literacy educational program -- Identifying employee roles. 327 $aLearning levels -- Covering all moments of need -- Learning methodologies -- Including all knowledge types -- Learning elements -- Organizing content -- Searching for content -- Measuring success -- Celebrating successes -- Summary -- Further reading -- Chapter 5: Managing Your Data Environment -- Introducing data management -- Understanding your data quality -- Intermezzo - Starting to improve data quality in a small-scaled healthcare environment -- Delivering a data management future -- Data strategy -- Taking care of your data strategy -- Creating a data vision -- Identifying your data -- Discovering where your data is stored -- Retrieving your data -- Combining and enriching data -- Setting the standard -- Processes -- Control -- IT -- Summary -- Part 2: Understanding How to Measure the Why, What, and How -- Chapter 6: Aligning with Organizational Goals -- Understanding the types of indicators -- Identifying KPIs -- Characteristics of KPIs -- Leading and lagging indicators -- Reviewing for unintended consequences -- Applying Goodhart's law to KPIs -- Defining what to track -- Activity system maps -- Logic models -- Summary -- References -- Chapter 7: Designing Dashboards and Reports -- The importance of visualizing data -- Deceiving with bad visualizations -- Using our eyes and the usage of colors -- Introducing the DAR(S) principle -- Defining your dashboard -- Choosing the right visualization -- Understanding some basic visualizations -- Bar chart (or column chart or bar graph) -- Line chart -- Pie chart -- Heatmap -- Radar chart -- Geospatial charts -- KPIs in various ways -- Tables -- Presenting some advanced visualizations -- Bullet charts -- Addressing contextual analysis -- Summary -- Chapter 8: Questioning the Data -- Being curious and critical by asking questions -- Starting with the problem - not the data. 327 $aIdentifying the right key performance indicators (KPIs) ahead of time -- Questioning not just the data, but also assumptions -- Using a questioning framework -- Questioning based on the decision-making stage -- Questioning data and information -- Questioning analytic interpretations and insights -- Summary -- References -- Chapter 9: Handling Data Responsibly -- Introducing the potential risks of data and analytics -- Identifying data security concerns -- Intermezzo - a data leak at an airplane carrier -- Identifying data privacy concerns -- Identifying data ethical concerns -- Intermezzo - tax office profiles ethnically -- Summary -- Part 3: Understanding the Change and How to Assess Activities -- Chapter 10: Turning Insights into Decisions -- Data-informed decision-making process -- Ask - Identifying problems and interpreting requirements -- Acquire - Understanding, acquiring, and preparing relevant data -- Analyze - Transforming data into insights -- Apply - Validating the insights -- Act - Transforming insights into decisions -- Announce - Communicating decisions with data -- Assess - Evaluating outcomes of a decision -- Making a data-Informed decision in action -- Using a data-informed decision checklist -- Why data-informed over data-driven? -- Storytelling -- Why is communicating with data so hard? -- Three key elements of communication -- Why include a narrative? -- The process -- Summary -- Further reading -- Chapter 11: Defining a Data Literacy Competency Framework -- Data literacy competency framework -- Identifying problems and interpreting requirements -- Understanding, acquiring, and preparing relevant data -- Turning data into insights -- Validating the insights -- Transforming insights into decisions -- Communicating decisions with data -- Evaluating the outcome of a decision -- Understanding data -- Data literacy skills. 327 $aIdentifying data literacy technical skills -- Data literacy soft skills -- Data literacy mindsets -- Summary -- References -- Chapter 12: Assessing Your Data Literacy Maturity -- Assessing individual data literacy -- Assessing organizational data literacy -- Basic organizational data literacy assessment -- Robust organizational data literacy maturity assessment -- Summary -- Chapter 13: Managing Data and Analytics Projects -- Discovering why data and analytics projects fail -- Understanding four typical data and analytics project characteristics -- Understanding data and analytics project blockers -- Pitfalls in data and analytics projects -- Lack of expertise -- The technical architecture -- Time and money -- Unfolding the data and analytics project approach -- Unfolding the data and analytics project framework -- Intermezzo 2 - successfully managing a data and analytics project -- Mitigating typical data and analytics project risks -- Project risks -- Technical risks -- Cultural risks -- Content risks -- Determining roles in data and analytics projects (and teams) -- Managing data and analytics projects -- Writing a successful data and analytics business case -- A chapter layout for your business case -- Finding financial justification for your project -- Argumentation for one-time project costs -- Annual recurring costs -- Argumentation for annual recurring costs -- The quantitative benefits -- ROI -- Conclusion and advice -- Summary -- Chapter 14: Appendix A - Templates -- Project intake form -- STARR TEMPLATE -- Layout for a business case -- Layout for a business case scenario description -- A business case financial analysis -- Layout for a risk assessment -- Layout for a summary business case -- Layout information and measure plan -- Layout for a KPI description -- Table with the Inmon groups and a description of their roles. 327 $aChapter 15: Appendix B - References -- Inspirational books -- Online articles and blogs -- Dutch articles and blogs -- Online tools -- Online sites -- Index -- Other Books You May Enjoy. 330 $aUnderstanding data is a powerful skill. This book will help you build a sound understanding of data literacy basics and build your confidence to work with data every day. Guided by best practices and real-world examples, you'll master the skills to make smarter decisions with data, fast. 606 $aData mining 606 $aInformation literacy 606 $aDecision making 615 0$aData mining. 615 0$aInformation literacy. 615 0$aDecision making. 676 $a006.312 700 $aKlidas$b Angelika$01828087 701 $aHanegan$b Kevin$01828088 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9911008443803321 996 $aData Literacy in Practice$94396188 997 $aUNINA