Name,Asset ID,Type,Description,Certified,CreatedOn,CreatedBy_UserName,CreatedBy_FirstName,CreatedBy_LastName,CreatedBy_Id,Roles > Owner > First Name,Roles > Owner > Last Name,Roles > Owner > Group Name,LastModifiedOn,Quality,Risk Level,complies to [Governance Asset] > Governance Asset,complies to [Governance Asset] > Type,complies to [Governance Asset] > Community,complies to [Governance Asset] > Domain Type,complies to [Governance Asset] > Domain,complies to [Governance Asset] > Domain ID,complies to [Governance Asset] > Asset ID,Domain,Community,Domain Type,Domain ID,Validation Result,TodaysDate,Data Management Level,Class of Creator, Accuracy, Completeness "Historic Customer Lifetime Value Data","25184a4c-aebb-49ec-81a7-9eaf56beb925","Data Set","Historic dataset with calculated present value of the future cash flows attributed to the customer during his/her entire relationship with the company (CLV)","TRUE","26/10/2016","Koen","Koen","Van Duyse","92f350cb-2402-4cef-bd0f-8a6c93a94977","Koen","Van Duyse","","03/04/2018","80","","PII Data Policy","Policy","Financial Services Company","Policy Domain","Data Policies","4a9ca14e-4f9b-4982-8d34-29409a2be99e","f64d5b59-8e13-470e-b590-eee0b5ad1319","New Data Sets","Business Analysts Community","Data Usage Registry","00000000-0000-0000-0001-000200000001","","29/01/2019","4","Data Officer","97.02","75.25" "Customer demographics","1cf76e24-a171-4e21-bf7c-62512d28e49b","Data Set","Customer demographics dataset","TRUE","08/11/2017","johnfisher","John","Fisher","f0ebeb96-6cf0-4144-abba-115ff57b667a","John","Fisher","","22/01/2018","","HIGH","PII (Personally identifiable information) Data Policy","Policy","Enterprise","Policy Domain","Policies","65d9bc7e-b84e-4f6b-96cb-ef1a5c0fcc46","073c4c07-2aae-4f26-9f83-3106bf070b0c","New Data Sets","Business Analysts Community","Data Usage Registry","00000000-0000-0000-0001-000200000001","","29/01/2019","2","Asset Owner","77.76","67.38" "COREP report C06.02","02074549-3e8d-464a-b0ec-03033065494e","Data Set","GROUP SOLVENCY: INFORMATION ON AFFILIATES (GS)","","29/11/2016","johnfisher","John","Fisher","f0ebeb96-6cf0-4144-abba-115ff57b667a","John","Fisher","","29/11/2016","","","","","","","","","","New Data Sets","Business Analysts Community","Data Usage Registry","00000000-0000-0000-0001-000200000001","","29/01/2019","2","Privacy Officer","35.11","34.60" "Risk Reporting Loans","0743b693-d7c8-4fc9-8eb3-f20f0c481436","Data Set","Data set for counterparty risk reporting","","29/11/2016","johnfisher","John","Fisher","f0ebeb96-6cf0-4144-abba-115ff57b667a","John","Fisher","","29/11/2016","","","","","","","","","","New Data Sets","Business Analysts Community","Data Usage Registry","00000000-0000-0000-0001-000200000001","","29/01/2019","2","Project Lead","78.10","58.00" "Customer Industries","0ca085e5-0d95-4085-bc7c-faa86768d622","Data Set","Customer data with industry information","FALSE","10/05/2017","johnfisher","John","Fisher","f0ebeb96-6cf0-4144-abba-115ff57b667a","John","Fisher","","10/05/2017","","","","","","","","","","New Data Sets","Business Analysts Community","Data Usage Registry","00000000-0000-0000-0001-000200000001","","29/01/2019","2","Manager","4.64","9.69" "Mapping of IFRS GAAP to LOCAL GAAP for entire group","13aff206-8df4-4347-8be7-a81e7711d732","Data Set","This data set contains the latest mapping between the Consolidated IFRS Gaap Chart of Account numbers with all the local GAAP Chart of Account numbers of all entities within the group. (BEGAAP, PLGAAP, ESGAAP, UKGAAP, FRGAAP, etc.)","","29/11/2016","johnfisher","John","Fisher","f0ebeb96-6cf0-4144-abba-115ff57b667a","John","Fisher","","29/11/2016","","","","","","","","","","New Data Sets","Business Analysts Community","Data Usage Registry","00000000-0000-0000-0001-000200000001","","29/01/2019","3","Asset Consumer","21.73","43.91" "Local GAAP Financial Statement for all entities in the Group Consolidation","19998fe6-c959-48f3-a86a-e1f17518b804","Data Set","This data set holds all financial statements of all entities in the consolidation circle of the group. The financial statement holds legal entity identifier of the legal entities in the group, the local gaap CoA number, transaction currency, transaction currency year-to-date balance amount, local currency of the entity, year-to-date balance amount in local currency.","","29/11/2016","johnfisher","John","Fisher","f0ebeb96-6cf0-4144-abba-115ff57b667a","John","Fisher","","29/11/2016","","","","","","","","","","New Data Sets","Business Analysts Community","Data Usage Registry","00000000-0000-0000-0001-000200000001","","29/01/2019","5","Customer","53.96","36.51" "Customer & Loans Datasets","203bd0ce-40e3-483a-a3b7-f71f2638d019","Data Set","......","TRUE","26/01/2018","johnfisher","John","Fisher","f0ebeb96-6cf0-4144-abba-115ff57b667a","John","Fisher","","26/01/2018","","","","","","","","","","New Data Sets","Business Analysts Community","Data Usage Registry","00000000-0000-0000-0001-000200000001","","29/01/2019","2","Systems Administrator","36.68","78.94" "Ad Buys Data Set","21e3bd41-fb85-4f22-a199-bceb4c5bd5df","Data Set","Four columns from the Ad Buys Data Set","TRUE","16/05/2018","khutchinson","Kevin","Hutchinson","c1d8a181-2c1e-4c0a-80b3-67ea661749d8","Kevin","Hutchinson","","16/05/2018","","","","","","","","","","New Data Sets","Business Analysts Community","Data Usage Registry","00000000-0000-0000-0001-000200000001","","29/01/2019","1","Incident Owner","8.55","25.32" "Ad Buys Data Set","21e3bd41-fb85-4f22-a199-bceb4c5bd5df","Data Set","Four columns from the Ad Buys Data Set","TRUE","16/05/2018","khutchinson","Kevin","Hutchinson","c1d8a181-2c1e-4c0a-80b3-67ea661749d8","Michael","Nijs","","16/05/2018","","","","","","","","","","New Data Sets","Business Analysts Community","Data Usage Registry","00000000-0000-0000-0001-000200000001","","29/01/2019","5","Incident Owner","44.33","11.02" "BRAND Scoring","25d9b087-e72a-4587-a365-6a3b479a8f48","Data Set","BRAND Scoring","FALSE","14/11/2017","johnfisher","John","Fisher","f0ebeb96-6cf0-4144-abba-115ff57b667a","","","","14/11/2017","","","","","","","","","","New Data Sets","Business Analysts Community","Data Usage Registry","00000000-0000-0000-0001-000200000001","","29/01/2019","3","Asset Owner","12.27","85.23" "Product Sales","28cdf215-40d5-448e-a430-6bb6ba40fe29","Data Set","Contains the sales of our product portfolio","","29/11/2016","johnfisher","John","Fisher","f0ebeb96-6cf0-4144-abba-115ff57b667a","John","Fisher","","29/11/2016","","","","","","","","","","New Data Sets","Business Analysts Community","Data Usage Registry","00000000-0000-0000-0001-000200000001","","29/01/2019","5","Developer","94.12","31.92" "ATM Machines","322bb992-74b0-4520-ae90-e27a1eefc59c","Data Set","This ATM Machines data set holds all critical data elements required for regulatory reporting related to Payment Statistics: ATM machine information (id, geo location), transactions and reserves.","","29/11/2016","johnfisher","John","Fisher","f0ebeb96-6cf0-4144-abba-115ff57b667a","John","Fisher","","29/11/2016","","","","","","","","","","New Data Sets","Business Analysts Community","Data Usage Registry","00000000-0000-0000-0001-000200000001","","29/01/2019","5","Subject Area Owner","16.42","40.05" "Mortgage Loans - Impaired","44819aa0-12c9-4c4d-93f5-74895a508a2f","Data Set","This data set contains all Impaired Mortgage Loans and their specific critical data elements. This is the input for our Individual Impairment calculation process.","","29/11/2016","johnfisher","John","Fisher","f0ebeb96-6cf0-4144-abba-115ff57b667a","John","Fisher","","29/11/2016","","","","","","","","","","New Data Sets","Business Analysts Community","Data Usage Registry","00000000-0000-0000-0001-000200000001","","29/01/2019","3","Manager","43.99","70.80" "Moat_Inventory","48a8e4c7-d0e0-45ee-a4ac-37aad83abc12","Data Set","","","16/05/2018","jmaquera","jack","maquera","c9b92e23-fbc3-4647-ae22-6b1d7228399e","jack","maquera","","16/05/2018","","","","","","","","","","New Data Sets","Business Analysts Community","Data Usage Registry","00000000-0000-0000-0001-000200000001","","29/01/2019","2","Architect","87.63","56.52" "EBA Reporting taxonomy","4e730863-b544-4e7d-b635-83a1da06776e","Data Set","The Reporting Taxonomy of the European Banking Association for Regulatory Reporting like FINREP, COREP, LIQREP, AE, etc. 

","","29/11/2016","johnfisher","John","Fisher","f0ebeb96-6cf0-4144-abba-115ff57b667a","John","Fisher","","29/11/2016","","","","","","","","","","New Data Sets","Business Analysts Community","Data Usage Registry","00000000-0000-0000-0001-000200000001","","29/01/2019","4","Data Officer","11.09","65.14" "moat data set","53a200b7-3426-4dff-b1d3-f51a6b6f8db1","Data Set","","","16/05/2018","jmaquera","jack","maquera","c9b92e23-fbc3-4647-ae22-6b1d7228399e","jack","maquera","","16/05/2018","","","","","","","","","","New Data Sets","Business Analysts Community","Data Usage Registry","00000000-0000-0000-0001-000200000001","","29/01/2019","4","Manager","67.98","88.96" "Data point model","61ad941e-4bd3-4851-ad15-68a940b7ebd9","Data Set","European Banking Association - Data Point Model - Collection of Meta Data ","","29/11/2016","johnfisher","John","Fisher","f0ebeb96-6cf0-4144-abba-115ff57b667a","John","Fisher","","29/11/2016","","","","","","","","","","New Data Sets","Business Analysts Community","Data Usage Registry","00000000-0000-0000-0001-000200000001","","29/01/2019","2","Manager","64.40","4.62" "Securities Master Data, Prices and Ratings","6b94863a-e24a-4f8d-ae2a-42e67f2b76f0","Data Set","This data set holds all securities market data like prices and ratings for Product Control to be able to validate Trader's Profit and Loss statements end of day.
Financial instruments covered by this data: bonds, equity, futures, options, repo and reverse repo's.
Market Data: Reuters, Bloomberg and S&P.","","29/11/2016","johnfisher","John","Fisher","f0ebeb96-6cf0-4144-abba-115ff57b667a","John","Fisher","","29/11/2016","","","","","","","","","","New Data Sets","Business Analysts Community","Data Usage Registry","00000000-0000-0000-0001-000200000001","","29/01/2019","5","Supplier","31.45","76.61" "Credit Risk Rating and Customer Data","705137c4-4fe1-4259-93f4-01571cdef655","Data Set","This data set contains all exposures with customer data and related external risk rating and the LEI code of the counterparty, which can be used for Group Solvency reporting","TRUE","29/11/2016","johnfisher","John","Fisher","f0ebeb96-6cf0-4144-abba-115ff57b667a","John","Fisher","","23/11/2017","","CRITICAL","","","","","","","","New Data Sets","Business Analysts Community","Data Usage Registry","00000000-0000-0000-0001-000200000001","","29/01/2019","2","Data Subject","19.27","39.42" "Counterparty Credit Risk Rating and Critical Data Elements","7defdfed-7032-446c-8166-9d357ada4fc5","Data Set","Combination of counterparty risk rating and critical counterparty Information (like nationality, lei_code, etc.)","","29/11/2016","johnfisher","John","Fisher","f0ebeb96-6cf0-4144-abba-115ff57b667a","John","Fisher","","29/11/2016","","","","","","","","","","New Data Sets","Business Analysts Community","Data Usage Registry","00000000-0000-0000-0001-000200000001","","29/01/2019","4","Subject Area Owner","7.27","77.23" "Industry Classification Benchmark (ICB)","8b132fd8-6635-4b20-9335-0c825f9d4739","Data Set","
ICB subsector classification. Subsector is the lowest level of the ICB classification.

The Industry Classification Benchmark (ICB) is a definitive system categorizing over 70,000 companies and 75,000 securities worldwide, enabling the comparison of companies across four levels of classification and national boundaries.
","","29/11/2016","johnfisher","John","Fisher","f0ebeb96-6cf0-4144-abba-115ff57b667a","John","Fisher","","29/11/2016","","","","","","","","","","New Data Sets","Business Analysts Community","Data Usage Registry","00000000-0000-0000-0001-000200000001","","29/01/2019","2","Privacy Officer","59.87","91.80" "Brand Analytics","8d7af221-d23b-4430-a688-b12a0662dbba","Data Set","todo","FALSE","23/01/2018","johnfisher","John","Fisher","f0ebeb96-6cf0-4144-abba-115ff57b667a","John","Fisher","","23/01/2018","","","","","","","","","","New Data Sets","Business Analysts Community","Data Usage Registry","00000000-0000-0000-0001-000200000001","","29/01/2019","5","Supplier","76.53","8.76" "Sales By Area","90440528-f2b0-42f0-8b80-9e21dbdcfce5","Data Set","this set includes the data necessary to generate the quarterly sales report!!!!
","","29/11/2016","johnfisher","John","Fisher","f0ebeb96-6cf0-4144-abba-115ff57b667a","John","Fisher","","29/11/2016","","","","","","","","","","New Data Sets","Business Analysts Community","Data Usage Registry","00000000-0000-0000-0001-000200000001","","29/01/2019","4","Data Subject","5.74",".05" "Cards","92f09aca-f17c-4329-ae2d-d8d62a956d36","Data Set","This Cards data set holds all critical data elements required for regulatory report Payment Statistics: card details, holder details and card limits and transactions.","","29/11/2016","johnfisher","John","Fisher","f0ebeb96-6cf0-4144-abba-115ff57b667a","John","Fisher","","29/11/2016","","","","","","","","","","New Data Sets","Business Analysts Community","Data Usage Registry","00000000-0000-0000-0001-000200000001","","29/01/2019","4","Manager","40.58","31.43" "Customer360 dataset","9a93bc87-93d9-41c4-bc6b-79dbc9d9a794","Data Set","For segmentation purposes
","FALSE","27/01/2017","johnfisher","John","Fisher","f0ebeb96-6cf0-4144-abba-115ff57b667a","John","Fisher","","21/04/2017","","","","","","","","","","New Data Sets","Business Analysts Community","Data Usage Registry","00000000-0000-0000-0001-000200000001","","29/01/2019","5","Data Officer","95.97","42.77" "Graph data","a1d1dda0-931b-4d02-88e2-e02295859db0","Data Set","Some descriptive graph data here.","FALSE","01/06/2017","johnfisher","John","Fisher","f0ebeb96-6cf0-4144-abba-115ff57b667a","John","Fisher","","01/06/2017","","","","","","","","","","New Data Sets","Business Analysts Community","Data Usage Registry","00000000-0000-0000-0001-000200000001","","29/01/2019","4","Supplier","49.80","62.93" "CLV","acb07912-ce45-4a62-8a7e-b8a09a398aec","Data Set","Fast catalog of CLV","FALSE","27/02/2017","johnfisher","John","Fisher","f0ebeb96-6cf0-4144-abba-115ff57b667a","John","Fisher","","28/02/2017","","","","","","","","","","New Data Sets","Business Analysts Community","Data Usage Registry","00000000-0000-0000-0001-000200000001","","29/01/2019","1","Subject Area Owner","88.50","49.31" "Customer & Loans Dataset","b4b18ce7-c978-4546-94e2-573ce9b0f9d3","Data Set",".......","FALSE","23/01/2018","johnfisher","John","Fisher","f0ebeb96-6cf0-4144-abba-115ff57b667a","John","Fisher","","23/01/2018","","","","","","","","","","New Data Sets","Business Analysts Community","Data Usage Registry","00000000-0000-0000-0001-000200000001","","29/01/2019","2","Data Subject","63.24","63.17" "NIELSEN TWITTER TV RATINGS","bc12c3a3-be83-40f9-9707-c91ffbb97609","Data Set","Social Content Ratings Weekly Top Ten lists for Series and Specials.,29/01/2019 Sports Events are ranked by the total number of social TV interactions across Facebook and Twitter.,29/01/2019 ,29/01/2019 Data is provided through an API","FALSE","07/02/2017","johnfisher","John","Fisher","f0ebeb96-6cf0-4144-abba-115ff57b667a","","","","07/02/2017","0","","","","","","","","","New Data Assets","Data Governance Council","Data Asset Domain","00000000-0000-0000-0000-000000006015","","29/01/2019","3","Project Lead","20.09","39.96" "Demographics data model for marketing campaign","c78ad86e-fca8-4163-8082-e6c0b55c4899","Data Set","Demographics data model for marketing campaign","FALSE","09/01/2018","johnfisher","John","Fisher","f0ebeb96-6cf0-4144-abba-115ff57b667a","John","Fisher","","09/01/2018","","","","","","","","","","New Data Sets","Business Analysts Community","Data Usage Registry","00000000-0000-0000-0001-000200000001","","29/01/2019","2","Asset Consumer","80.88","48.73" "DPM Table","c9daa300-22b2-4498-a465-317dd79d0779","Data Set","DPM Table Information from the EBA model","","29/11/2016","johnfisher","John","Fisher","f0ebeb96-6cf0-4144-abba-115ff57b667a","John","Fisher","","21/12/2016","","LOW","","","","","","","","New Data Sets","Business Analysts Community","Data Usage Registry","00000000-0000-0000-0001-000200000001","","29/01/2019","1","Incident Owner","26.16","39.52" "IFRS Consolidated Financial Statement","ebe60448-0386-453f-b67c-227a6a86a4b4","Data Set","This data sets holds the IFRS compliant consolidated financial statement group by Group Entity Identifier, Consolidated Legal Entity Identifier, IFRS CoA Account number, Counterparty Domicile, Currency and Year-to-Date Balance expressed in transaction currency and consolidation group currency (EUR).","","29/11/2016","johnfisher","John","Fisher","f0ebeb96-6cf0-4144-abba-115ff57b667a","John","Fisher","","29/11/2016","","","","","","","","","","New Data Sets","Business Analysts Community","Data Usage Registry","00000000-0000-0000-0001-000200000001","","29/01/2019","3","Customer","77.15","57.41" "test dataset","f47318dd-2b33-4449-b479-35cb6163f8ae","Data Set","test","FALSE","25/01/2018","johnfisher","John","Fisher","f0ebeb96-6cf0-4144-abba-115ff57b667a","John","Fisher","","25/01/2018","","","","","","","","","","New Data Sets","Business Analysts Community","Data Usage Registry","00000000-0000-0000-0001-000200000001","","29/01/2019","4","Asset Owner","84.66","73.45" "CLV vs Brand interaction score dataset","fb3dcd1e-81fa-4417-ab32-b26ea7ef822e","Data Set","CLV vs Brand interaction score dataset","FALSE","16/11/2017","johnfisher","John","Fisher","f0ebeb96-6cf0-4144-abba-115ff57b667a","John","Fisher","","16/11/2017","","","","","","","","","","New Data Sets","Business Analysts Community","Data Usage Registry","00000000-0000-0000-0001-000200000001","","29/01/2019","5","Systems Administrator","48.60","93.94" "Counterparty Risk Rating","fbac4d92-6891-4f24-bc93-f24b1cd39ccd","Data Set","This data set holds external risk rating from market data providers like Bloomberg, Standard and Poors, Moodies, etc. for all counterparties in our portfolio.","TRUE","29/11/2016","johnfisher","John","Fisher","f0ebeb96-6cf0-4144-abba-115ff57b667a","John","Fisher","","21/12/2016","","HIGH","","","","","","","","New Data Sets","Business Analysts Community","Data Usage Registry","00000000-0000-0000-0001-000200000001","","29/01/2019","1","Developer","38.03","94.95"