LEADER 05509nam 2200709 450 001 9910462570303321 005 20200520144314.0 010 $a1-78063-347-5 035 $a(CKB)2670000000356496 035 $a(EBL)1579917 035 $a(OCoLC)866442355 035 $a(SSID)ssj0000967885 035 $a(PQKBManifestationID)11605383 035 $a(PQKBTitleCode)TC0000967885 035 $a(PQKBWorkID)10995334 035 $a(PQKB)11354375 035 $a(MiAaPQ)EBC1579917 035 $a(CaSebORM)9781843346722 035 $a(PPN)187349401 035 $a(Au-PeEL)EBL1579917 035 $a(CaPaEBR)ebr10816523 035 $a(CaONFJC)MIL549505 035 $a(OCoLC)865578729 035 $a(EXLCZ)992670000000356496 100 $a20131226d2012 uy| 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aData clean-up and management $ea practical guide for librarians /$fMargaret Hogarth with contributions from Kenneth Furuta 205 $a1st edition 210 1$aOxford :$cChandos Publishing,$d2012. 215 $a1 online resource (579 p.) 225 0$aChandos information professional series 300 $aDescription based upon print version of record. 311 $a1-84334-672-9 320 $aIncludes bibliographical references and index. 327 $aCover; Data Clean-up and Management: A practical guide for librarians; Copyright; Contents; List of figures; List of tables; About the authors; 1 Introduction (why this book is needed); What makes this book unique?; Why library data is important; The book's outline; 2 Commonalities; Microsoft Office Excel; MarcEdit; Microsoft Access; XML; Commonalities; Capture and use; Standardization; Data import issues; Technical skills; Project management challenges; 3 Defining data; Rule 1: define data points; Rule 2: apply data point definitions; Rule 3: count the right apples 327 $aRule 4: avoid capturing redundant data4 Types of data issues; Microsoft Excel vs Microsoft Access; General data-handling edicts; Data issues: importing data; 5 Microsoft Excel techniques; Creating datasheets; Selecting cells; Copying; Sorting; Filter; AutoSum; Sum; Fill; 6 Data clean-up in Excel; Common dirty data scenarios; The usefulness of delimiting; System limitations; Removing extra characters; 7 Excel: combining data; IF statements; The TEXT function; PivotTables and filtering; VLOOKUP; HLOOKUP; MATCH; 8 Additional tools; PDFs; Notepad; Microsoft Word 327 $aGlobal update in an integrated library systemRegular expressions; Excel; Access; Macros; XML; MarcEdit; The MARC tools window; 9 Access techniques; What is a database?; Access; Planning a database; Preparing data for a database; Adding a table to a database; 10 Access forms; Types of form; Parts to a form; Form controls; Validating data; Option buttons; Combo boxes; ActiveX controls; Tab control techniques; Multiple-table forms; Command buttons; 11 Access reports; Creating a report using the Report Wizard; Controls; Making additions to a report; AutoFormat a report 327 $aWorking with report propertiesInserting a control into a report; Conditional formatting; Sizing reports; Moving controls in Access; Publishing reports; Sorting and grouping options; Adding calculations to reports; Launching reports; Creating a subreport; 12 Access queries; Sorting in Access; Filtering in Access; Queries; Entering data; Query properties; Access relationships; 13 Data clean-up in Access; Prevention is the best cure; Extra characters; Access data upload errors; ISSN issues; 14 Access - combining data; Combining data from one or more data sources; Query with a sum 327 $aTypes of operatorsTotals queries; Parameter queries; Action queries; Update queries; Delete queries; Make-Table queries; Append queries; PivotTable queries; SQL in Access; Parameter Queries in SQL; Export data to Excel; Finding unique values in a dataset; Matching on ISSN; 15 Strategies for missing data; Resources are missing ISBNs; Resources are missing ISSNs; Richard Jackson's OCLC look-up strategy; 16 Qualitative data; The definition of qualitative data; Qualitative data is valuable; Types of qualitative data; Qualitative data techniques; SWOT analysis; Tools; The whole picture; 17 ROI 327 $a18 Data collection and analysis 330 $aData use in the library has specific characteristics and common problems. Data Clean-up and Management addresses these, and provides methods to clean up frequently-occurring data problems using readily-available applications. The authors highlight the importance and methods of data analysis and presentation, and offer guidelines and recommendations for a data quality policy. The book gives step-by-step how-to directions for common dirty data issues.Focused towards libraries and practicing librariansDeals with practical, real-life issues and addresses common problems th 410 0$aChandos Information Professional Series 606 $aLibraries$xData processing 606 $aData editing 608 $aElectronic books. 615 0$aLibraries$xData processing. 615 0$aData editing. 676 $a025 676 $a025.210285 700 $aHogarth$b Margaret$0869690 701 $aFuruta$b Kenneth$0869691 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910462570303321 996 $aData clean-up and management$91941766 997 $aUNINA LEADER 04052nam 2200565 450 001 9910554270303321 005 20231110213049.0 010 $a3-11-066976-5 010 $a3-11-066660-X 024 7 $a10.1515/9783110669763 035 $a(CKB)4100000011810923 035 $a(DE-B1597)525776 035 $a(DE-B1597)9783110669763 035 $a(MiAaPQ)EBC6701550 035 $a(Au-PeEL)EBL6701550 035 $a(OCoLC)1248760125 035 $a(EXLCZ)994100000011810923 100 $a20220430d2021 uy 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aBank asset liability management best practice $eyesterday, today and tomorrow /$fPolina Bardaeva 210 1$aBerlin ;$aBoston, MA :$cWalter de Gruyter GmbH,$d[2021] 210 4$d©2021 215 $a1 online resource (XIV, 155 p.) 225 0 $aThe Moorad Choudhry Global Banking Series 311 $a3-11-066654-5 327 $tFrontmatter -- $tAcknowledgments -- $tForeword -- $tContents -- $tPreface -- $tPart 1: Historical Asset and Liability Management Concepts -- $tIntroduction -- $tChapter 1. Before the ALM Era -- $tChapter 2. Financial Turbulence -- $tChapter 3. Emergence of Derivatives -- $tChapter 4. Regulators in Place -- $tChapter 5. Preservation of Basel III Capital -- $tChapter 6. Complete Interrelation -- $tChapter 7. ALM Evolution Summary -- $tConclusions -- $tPart 2: Place of Asset and Liability Management in a Bank -- $tIntroduction -- $tChapter 8. Prerequisites for ALM -- $tChapter 9. ALM Responsibilities (Full Scope) -- $tChapter 10. ALM Operating Model -- $tChapter 11. ALM Inside a Risk Management Triangle -- $tChapter 12. From a Standalone ALM Desk to a Group Treasury -- $tConclusions -- $tPart 3: New Trends in Banking and Challenges for ALM -- $tIntroduction -- $tChapter 13. ALM Role in SREP -- $tChapter 14. Scope of ALM Involvement for Different Banks -- $tChapter 15. ALM Role in Crisis -- $tChapter 16. After-Crisis ALM -- $tSelected Bibliography -- $tList of Figures -- $tList of Tables -- $tList of Abbreviations -- $tAbout the Author -- $tIndex 330 $aAs bankers incorporate more and more complicated and precise calculations and models, a solely mathematical approach will fail to confirm the viability of their business. This book explains how to combine ALM concepts with the emotional intelligence of managers in order to maintain the financial health of a bank, and quickly react to external environment challenges and banks' microclimate changes. ALM embraces not only balance sheet targets setting, instruments and methodologies to achieve the targets, but also the correct and holistic understanding of processes that should be set up in a bank to prove its prudency and compliance with internal and external constraints, requirements and limitations and the ongoing continuity of its operations. Bank Asset Liability Management Best Practice delves into the philosophy of ALM, discusses the interrelation of processes inside the bank, and argues that every little change in one aspect of the bank processes has an impact on its other parts. The author discusses the changing role of ALM and its historical and current concepts, its strengths and weaknesses, and future threats and opportunities. 410 4$aThe Moorad Choudhry Global Banking 606 $aAsset-liability management$xData processing 606 $aAsset-liability management$xLaw and legislation 610 $aALM. 610 $aCapital. 610 $aConflict of interest. 610 $aInterest rate. 610 $aStrategy. 615 0$aAsset-liability management$xData processing. 615 0$aAsset-liability management$xLaw and legislation. 676 $a332.10681 700 $aBardaeva$b Polina$01219481 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910554270303321 996 $aBank Asset Liability Management Best Practice$92819744 997 $aUNINA LEADER 01021nam0-22003371i-450 001 990005290800403321 005 20241217110827.0 035 $a000529080 035 $aFED01000529080 035 $a(Aleph)000529080FED01 035 $a000529080 100 $a19990604d1955----km-y0itay50------ba 101 0 $afre 105 $ay-------001yy 200 1 $aDe Télesphore au "moine bourru"$edieux, gènies et dèmons encapuchonnès$fW. 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