Improving Data Literacy in HEINEKEN
The following document is an undergraduate thesis on Improving Data Literacy in HEINEKEN. The paper includes a literature review, current situation analysis, desired situation, strategic options, recommendations, and an implementation plan. HEINEKEN is a global leader in the beer industry, with over...
- Autores:
- Tipo de recurso:
- Fecha de publicación:
- 2023
- Institución:
- Universidad del Rosario
- Repositorio:
- Repositorio EdocUR - U. Rosario
- Idioma:
- spa
- OAI Identifier:
- oai:repository.urosario.edu.co:10336/40761
- Acceso en línea:
- https://doi.org/10.48713/10336_40761
https://repository.urosario.edu.co/handle/10336/40761
- Palabra clave:
- Data literacy
Data-driven decision-making
Internal communication
Data Analytics
Educational resources
Training
Metrics
Research
Effectiveness
Culture
Resources
Incentives
Rewards
Data literacy
Data-driven decision-making
Internal communication
Data analytics
Educational resources
Training
Metrics
Research
Effectiveness
Culture
Resources
Incentives
Rewards
- Rights
- License
- Attribution-NonCommercial-NoDerivatives 4.0 International
id |
EDOCUR2_bdd14afdad098be45ce42ace73b09937 |
---|---|
oai_identifier_str |
oai:repository.urosario.edu.co:10336/40761 |
network_acronym_str |
EDOCUR2 |
network_name_str |
Repositorio EdocUR - U. Rosario |
repository_id_str |
|
dc.title.none.fl_str_mv |
Improving Data Literacy in HEINEKEN |
dc.title.TranslatedTitle.none.fl_str_mv |
Mejorando la alfabetización en datos en HEINEKEN |
title |
Improving Data Literacy in HEINEKEN |
spellingShingle |
Improving Data Literacy in HEINEKEN Data literacy Data-driven decision-making Internal communication Data Analytics Educational resources Training Metrics Research Effectiveness Culture Resources Incentives Rewards Data literacy Data-driven decision-making Internal communication Data analytics Educational resources Training Metrics Research Effectiveness Culture Resources Incentives Rewards |
title_short |
Improving Data Literacy in HEINEKEN |
title_full |
Improving Data Literacy in HEINEKEN |
title_fullStr |
Improving Data Literacy in HEINEKEN |
title_full_unstemmed |
Improving Data Literacy in HEINEKEN |
title_sort |
Improving Data Literacy in HEINEKEN |
dc.contributor.advisor.none.fl_str_mv |
Spaubeck, Jo F.H. |
dc.contributor.none.fl_str_mv |
Huber, Sjoerd Mertens, Marcel |
dc.subject.none.fl_str_mv |
Data literacy Data-driven decision-making Internal communication Data Analytics Educational resources Training Metrics Research Effectiveness Culture Resources Incentives Rewards |
topic |
Data literacy Data-driven decision-making Internal communication Data Analytics Educational resources Training Metrics Research Effectiveness Culture Resources Incentives Rewards Data literacy Data-driven decision-making Internal communication Data analytics Educational resources Training Metrics Research Effectiveness Culture Resources Incentives Rewards |
dc.subject.keyword.none.fl_str_mv |
Data literacy Data-driven decision-making Internal communication Data analytics Educational resources Training Metrics Research Effectiveness Culture Resources Incentives Rewards |
description |
The following document is an undergraduate thesis on Improving Data Literacy in HEINEKEN. The paper includes a literature review, current situation analysis, desired situation, strategic options, recommendations, and an implementation plan. HEINEKEN is a global leader in the beer industry, with over 300 beer and cider brands across the world. Its Global Analytics Team is focused on data-driven decision-making, while its EverGreen strategy helps future-proof the business. To achieve sustainable growth, HEINEKEN aims to become data-driven and prioritize sustainability, responsibility, talent, and digital interactions. The Global Analytics team aims to develop data analytics and literacy across departments, evaluate their effectiveness, and improve data-driven decisions by implementing new initiatives and measuring progress. Global Analytics uses various communication channels and tools, including Speed Dates, Ambassadors calls, and SharePoint, to improve employees' data literacy and promote data-driven decision-making. KPIs are utilized to measure employee engagement and interest levels, and SharePoint offers a collaborative platform for employees to exchange information and best practices related to data analytics. HEINEKEN aims to improve its data literacy and decision-making levels and intends to identify the factors that influence decision-making and put improvements in place. HEINEKEN's Maturity Assessment Tool for Data Analytics helps measure the data analytics maturity of OpCos to identify areas for improvement and opportunities for growth. It focuses on personnel, process, and technology, and is a part of the Analytics Guru training program to advance a data-driven culture. Improving data-driven decision-making requires education and training in data literacy skills. HEINEKEN seeks to assess its data literacy level and customize a program to enhance its employees' skills and promote a data-driven culture. Effective communication is also crucial. |
publishDate |
2023 |
dc.date.accessioned.none.fl_str_mv |
2023-08-25T13:26:09Z |
dc.date.available.none.fl_str_mv |
2023-08-25T13:26:09Z |
dc.date.created.none.fl_str_mv |
2023-06-15 |
dc.type.none.fl_str_mv |
bachelorThesis |
dc.type.coar.fl_str_mv |
http://purl.org/coar/resource_type/c_7a1f |
dc.type.document.none.fl_str_mv |
Trabajo de grado |
dc.type.spa.none.fl_str_mv |
Trabajo de grado |
dc.identifier.doi.none.fl_str_mv |
https://doi.org/10.48713/10336_40761 |
dc.identifier.uri.none.fl_str_mv |
https://repository.urosario.edu.co/handle/10336/40761 |
url |
https://doi.org/10.48713/10336_40761 https://repository.urosario.edu.co/handle/10336/40761 |
dc.language.iso.none.fl_str_mv |
spa |
language |
spa |
dc.rights.*.fl_str_mv |
Attribution-NonCommercial-NoDerivatives 4.0 International |
dc.rights.coar.fl_str_mv |
http://purl.org/coar/access_right/c_abf2 |
dc.rights.acceso.none.fl_str_mv |
Abierto (Texto Completo) |
dc.rights.uri.*.fl_str_mv |
http://creativecommons.org/licenses/by-nc-nd/4.0/ |
rights_invalid_str_mv |
Attribution-NonCommercial-NoDerivatives 4.0 International Abierto (Texto Completo) http://creativecommons.org/licenses/by-nc-nd/4.0/ http://purl.org/coar/access_right/c_abf2 |
dc.format.extent.none.fl_str_mv |
58 |
dc.format.mimetype.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Universidad del Rosario |
dc.publisher.department.none.fl_str_mv |
Escuela de Administración |
dc.publisher.program.none.fl_str_mv |
Administración de Negocios Internacionales |
publisher.none.fl_str_mv |
Universidad del Rosario |
institution |
Universidad del Rosario |
dc.source.bibliographicCitation.none.fl_str_mv |
Passionned Group. (s.f.). Data literacy | Numeracy | How data-literate are you? Recuperado el 8 de April de 2023, de Passionned Group: https://www.passionned.com/bi/data-driven-working/data-literacy/ AI-powered collaborative article LinkedIn. (s.f.). How do you define and measure data literacy in your organization? Recuperado el 9 de April de 2023, de LinkedIn: https://www.linkedin.com/advice/0/how-do-you-define-measure-data-literacy Panetta, K. (26 de August de 2021). A Data Literacy Guide For D&A Leaders. Recuperado el 8 de April de 2023, de Gartner: https://www.gartner.com/smarterwithgartner/a-data-and-analytics-leaders-guide-to-data-literacy Bonikowska, A., Sanmartin, C., & Frenette, M. (14 de August de 2019). Analytical Studies: Methods and References Data Literacy: What It Is and How to Measure It in the Public Service. Recuperado el 8 de April de 2023, de Statistique Canada: https://www150.statcan.gc.ca/n1/pub/11-633-x/11-633-x2019003-eng.htm Lismont, J., Vanthienen, J., & Lemahieu, W. (June de 2017). Defining analytics maturity indicators: A survey approach. Elsevier Ltd., 37, 114-124. Obtenido de https://pdf.sciencedirectassets.com/271677/1-s2.0-S0268401217X00029/1-s2.0-S0268401216305655/main.pdf?X-Amz-Security-Token=IQoJb3JpZ2luX2VjENr%2F%2F%2F%2F%2F%2F%2F%2F%2F%2FwEaCXVzLWVhc3QtMSJHMEUCIQCUL2H4FAgZbKvlutKW5n%2FN4XXT14Q9eNNwddYjy2liGQIgfa8J0Yqnc%2 KPMG. (2023). Data Literacy Meeting the need for a data-literate society. Recuperado el April de 2023, de KPMG: https://kpmg.com/xx/en/home/insights/2021/11/data-literacy.html Heineken N.V. (2023). The Heineken company. Recuperado el 2023, de https://www.theheinekencompany.com/our-company GlobalData Plc. (2023). Heineken NV: Competitors. Recuperado el March de 2023, de GlobalData Plc: https://www.globaldata.com/company-profile/heineken-nv/competitors/ QlikTech International AB. (2023). Data Literacy Project. Recuperado el 2023, de https://thedataliteracyproject.org/about-dlp/ Global Analytics HEINEKEN. (20 de April de 2023). Global Analytics. Recuperado el 2023, de http://heiway.sharepoint.com/sites/GlobalAnalytics Data Literacy Project. (2023). Data Literacy Courses. Recuperado el 2023, de https://thedataliteracyproject.org/data-literacy-courses/#courses Qlik. (2023). Qlik vouchers. Recuperado el 2023, de https://wsr.pearsonvue.com/vouchers/pricelist/qlik.asp HEINEKEN. (8 de March de 2022). Maturity Assessment Report Results Nigeria. HEINEKEN. (30 de January de 2022). D&A Maturity Assessment Results Brazil. HEINEKEN. (2023). MyLearning. Obtenido de http://heinekenlearning.eu.crossknowledge.com/site/home |
dc.source.instname.none.fl_str_mv |
instname:Universidad del Rosario |
dc.source.reponame.none.fl_str_mv |
reponame:Repositorio Institucional EdocUR |
bitstream.url.fl_str_mv |
https://repository.urosario.edu.co/bitstreams/f2bd5c3d-9c7e-437b-81ca-810d99266a1e/download https://repository.urosario.edu.co/bitstreams/fe1669c5-2b3f-426a-a449-1de6d22d074b/download https://repository.urosario.edu.co/bitstreams/4b1f51bd-c41e-42d2-bd6f-a6ed73927625/download https://repository.urosario.edu.co/bitstreams/ed09214f-2313-464d-a36f-5874cee8c50d/download https://repository.urosario.edu.co/bitstreams/2198e35e-80d6-4ee1-b3c7-6770e33240fc/download |
bitstream.checksum.fl_str_mv |
b2825df9f458e9d5d96ee8b7cd74fde6 3b6ce8e9e36c89875e8cf39962fe8920 4cfe1c3252b189411632e2a5c3b52d79 16d58e8c80e71898e0f6054f2c9e3c59 63b18de429d518d02cbcb4c433549271 |
bitstream.checksumAlgorithm.fl_str_mv |
MD5 MD5 MD5 MD5 MD5 |
repository.name.fl_str_mv |
Repositorio institucional EdocUR |
repository.mail.fl_str_mv |
edocur@urosario.edu.co |
_version_ |
1814167634929778688 |
spelling |
Huber, SjoerdMertens, MarcelSpaubeck, Jo F.H.8024556b-b20d-4115-ad78-c508a1e1ab16-1Pinto Hoyos, María AntoniaAdministrador de Negocios InternacionalesAdministrador de Negocios InternacionalesPregradoFull time1f6e659c-9e94-4f51-9ffa-cbaa2724f4f9-12023-08-25T13:26:09Z2023-08-25T13:26:09Z2023-06-15The following document is an undergraduate thesis on Improving Data Literacy in HEINEKEN. The paper includes a literature review, current situation analysis, desired situation, strategic options, recommendations, and an implementation plan. HEINEKEN is a global leader in the beer industry, with over 300 beer and cider brands across the world. Its Global Analytics Team is focused on data-driven decision-making, while its EverGreen strategy helps future-proof the business. To achieve sustainable growth, HEINEKEN aims to become data-driven and prioritize sustainability, responsibility, talent, and digital interactions. The Global Analytics team aims to develop data analytics and literacy across departments, evaluate their effectiveness, and improve data-driven decisions by implementing new initiatives and measuring progress. Global Analytics uses various communication channels and tools, including Speed Dates, Ambassadors calls, and SharePoint, to improve employees' data literacy and promote data-driven decision-making. KPIs are utilized to measure employee engagement and interest levels, and SharePoint offers a collaborative platform for employees to exchange information and best practices related to data analytics. HEINEKEN aims to improve its data literacy and decision-making levels and intends to identify the factors that influence decision-making and put improvements in place. HEINEKEN's Maturity Assessment Tool for Data Analytics helps measure the data analytics maturity of OpCos to identify areas for improvement and opportunities for growth. It focuses on personnel, process, and technology, and is a part of the Analytics Guru training program to advance a data-driven culture. Improving data-driven decision-making requires education and training in data literacy skills. HEINEKEN seeks to assess its data literacy level and customize a program to enhance its employees' skills and promote a data-driven culture. Effective communication is also crucial.This study aims to provide a thorough overview of HEINEKEN's current data analytics maturity and data literacy state and to investigate the most practical strategies to enhance these capabilities. The goal of the study is to provide a thorough understanding of the level of data analytics maturity and data literacy that exists today and to investigate the most practical means of enhancing these skills at HEINEKEN. Additionally, the research will examine how to increase the acceptability and application of these programs and evaluate the impact of educational tools and training in data literacy skills on enhancing data-driven decision-making. The study will also assess how well data challenge projects are doing at fostering data and literacy skills and make recommendations on how to make them even more effective. It is mentioned to conduct a mixed-methods study using employee questionnaires, data usage notes, and management and employee interviews to assess the current state of data literacy and data-driven decision-making among HEINEKEN personnel. Additionally, utilizing information from usage and engagement metrics, a comparison of various internal communication channels and technologies will be done. Finally, suggestions for additional projects to advance HEINEKEN's data analytics skills will be given.58application/pdfhttps://doi.org/10.48713/10336_40761 https://repository.urosario.edu.co/handle/10336/40761spaUniversidad del RosarioEscuela de AdministraciónAdministración de Negocios InternacionalesAttribution-NonCommercial-NoDerivatives 4.0 InternationalAbierto (Texto Completo)EL AUTOR, manifiesta que la obra objeto de la presente autorización es original y la realizó sin violar o usurpar derechos de autor de terceros, por lo tanto la obra es de exclusiva autoría y tiene la titularidad sobre la misma. PARGRAFO: En caso de presentarse cualquier reclamación o acción por parte de un tercero en cuanto a los derechos de autor sobre la obra en cuestión, EL AUTOR, asumirá toda la responsabilidad, y saldrá en defensa de los derechos aquí autorizados; para todos los efectos la universidad actúa como un tercero de buena fe. EL AUTOR, autoriza a LA UNIVERSIDAD DEL ROSARIO, para que en los términos establecidos en la Ley 23 de 1982, Ley 44 de 1993, Decisión andina 351 de 1993, Decreto 460 de 1995 y demás normas generales sobre la materia, utilice y use la obra objeto de la presente autorización. -------------------------------------- POLITICA DE TRATAMIENTO DE DATOS PERSONALES. Declaro que autorizo previa y de forma informada el tratamiento de mis datos personales por parte de LA UNIVERSIDAD DEL ROSARIO para fines académicos y en aplicación de convenios con terceros o servicios conexos con actividades propias de la academia, con estricto cumplimiento de los principios de ley. Para el correcto ejercicio de mi derecho de habeas data cuento con la cuenta de correo habeasdata@urosario.edu.co, donde previa identificación podré solicitar la consulta, corrección y supresión de mis datos.http://creativecommons.org/licenses/by-nc-nd/4.0/http://purl.org/coar/access_right/c_abf2Passionned Group. (s.f.). Data literacy | Numeracy | How data-literate are you? Recuperado el 8 de April de 2023, de Passionned Group: https://www.passionned.com/bi/data-driven-working/data-literacy/AI-powered collaborative article LinkedIn. (s.f.). How do you define and measure data literacy in your organization? Recuperado el 9 de April de 2023, de LinkedIn: https://www.linkedin.com/advice/0/how-do-you-define-measure-data-literacyPanetta, K. (26 de August de 2021). A Data Literacy Guide For D&A Leaders. Recuperado el 8 de April de 2023, de Gartner: https://www.gartner.com/smarterwithgartner/a-data-and-analytics-leaders-guide-to-data-literacyBonikowska, A., Sanmartin, C., & Frenette, M. (14 de August de 2019). Analytical Studies: Methods and References Data Literacy: What It Is and How to Measure It in the Public Service. Recuperado el 8 de April de 2023, de Statistique Canada: https://www150.statcan.gc.ca/n1/pub/11-633-x/11-633-x2019003-eng.htmLismont, J., Vanthienen, J., & Lemahieu, W. (June de 2017). Defining analytics maturity indicators: A survey approach. Elsevier Ltd., 37, 114-124. Obtenido de https://pdf.sciencedirectassets.com/271677/1-s2.0-S0268401217X00029/1-s2.0-S0268401216305655/main.pdf?X-Amz-Security-Token=IQoJb3JpZ2luX2VjENr%2F%2F%2F%2F%2F%2F%2F%2F%2F%2FwEaCXVzLWVhc3QtMSJHMEUCIQCUL2H4FAgZbKvlutKW5n%2FN4XXT14Q9eNNwddYjy2liGQIgfa8J0Yqnc%2KPMG. (2023). Data Literacy Meeting the need for a data-literate society. Recuperado el April de 2023, de KPMG: https://kpmg.com/xx/en/home/insights/2021/11/data-literacy.htmlHeineken N.V. (2023). The Heineken company. Recuperado el 2023, de https://www.theheinekencompany.com/our-companyGlobalData Plc. (2023). Heineken NV: Competitors. Recuperado el March de 2023, de GlobalData Plc: https://www.globaldata.com/company-profile/heineken-nv/competitors/QlikTech International AB. (2023). Data Literacy Project. Recuperado el 2023, de https://thedataliteracyproject.org/about-dlp/Global Analytics HEINEKEN. (20 de April de 2023). Global Analytics. Recuperado el 2023, de http://heiway.sharepoint.com/sites/GlobalAnalyticsData Literacy Project. (2023). Data Literacy Courses. Recuperado el 2023, de https://thedataliteracyproject.org/data-literacy-courses/#coursesQlik. (2023). Qlik vouchers. Recuperado el 2023, de https://wsr.pearsonvue.com/vouchers/pricelist/qlik.aspHEINEKEN. (8 de March de 2022). Maturity Assessment Report Results Nigeria.HEINEKEN. (30 de January de 2022). D&A Maturity Assessment Results Brazil.HEINEKEN. (2023). MyLearning. Obtenido de http://heinekenlearning.eu.crossknowledge.com/site/homeinstname:Universidad del Rosarioreponame:Repositorio Institucional EdocURData literacyData-driven decision-makingInternal communicationData AnalyticsEducational resourcesTrainingMetricsResearchEffectivenessCultureResourcesIncentivesRewardsData literacyData-driven decision-makingInternal communicationData analyticsEducational resourcesTrainingMetricsResearchEffectivenessCultureResourcesIncentivesRewardsImproving Data Literacy in HEINEKENMejorando la alfabetización en datos en HEINEKENbachelorThesisTrabajo de gradoTrabajo de gradohttp://purl.org/coar/resource_type/c_7a1fEscuela de AdministraciónLICENSElicense.txtlicense.txttext/plain1483https://repository.urosario.edu.co/bitstreams/f2bd5c3d-9c7e-437b-81ca-810d99266a1e/downloadb2825df9f458e9d5d96ee8b7cd74fde6MD52CC-LICENSElicense_rdflicense_rdfapplication/rdf+xml; charset=utf-8899https://repository.urosario.edu.co/bitstreams/fe1669c5-2b3f-426a-a449-1de6d22d074b/download3b6ce8e9e36c89875e8cf39962fe8920MD53ORIGINALImproving-Data-Literacy-in-HEINEKEN-Pinto-Hoyos-Maria-Antonia-2023.pdfImproving-Data-Literacy-in-HEINEKEN-Pinto-Hoyos-Maria-Antonia-2023.pdfapplication/pdf1247134https://repository.urosario.edu.co/bitstreams/4b1f51bd-c41e-42d2-bd6f-a6ed73927625/download4cfe1c3252b189411632e2a5c3b52d79MD54TEXTImproving-Data-Literacy-in-HEINEKEN-Pinto-Hoyos-Maria-Antonia-2023.pdf.txtImproving-Data-Literacy-in-HEINEKEN-Pinto-Hoyos-Maria-Antonia-2023.pdf.txtExtracted texttext/plain75481https://repository.urosario.edu.co/bitstreams/ed09214f-2313-464d-a36f-5874cee8c50d/download16d58e8c80e71898e0f6054f2c9e3c59MD55THUMBNAILImproving-Data-Literacy-in-HEINEKEN-Pinto-Hoyos-Maria-Antonia-2023.pdf.jpgImproving-Data-Literacy-in-HEINEKEN-Pinto-Hoyos-Maria-Antonia-2023.pdf.jpgGenerated Thumbnailimage/jpeg2488https://repository.urosario.edu.co/bitstreams/2198e35e-80d6-4ee1-b3c7-6770e33240fc/download63b18de429d518d02cbcb4c433549271MD5610336/40761oai:repository.urosario.edu.co:10336/407612023-08-26 03:02:45.202http://creativecommons.org/licenses/by-nc-nd/4.0/Attribution-NonCommercial-NoDerivatives 4.0 Internationalhttps://repository.urosario.edu.coRepositorio institucional EdocURedocur@urosario.edu.coRUwoTE9TKSBBVVRPUihFUyksIG1hbmlmaWVzdGEobWFuaWZlc3RhbW9zKSBxdWUgbGEgb2JyYSBvYmpldG8gZGUgbGEgcHJlc2VudGUgYXV0b3JpemFjacOzbiBlcyBvcmlnaW5hbCB5IGxhIHJlYWxpesOzIHNpbiB2aW9sYXIgbyB1c3VycGFyIGRlcmVjaG9zIGRlIGF1dG9yIGRlIHRlcmNlcm9zLCBwb3IgbG8gdGFudG8gbGEgb2JyYSBlcyBkZSBleGNsdXNpdmEgYXV0b3LDrWEgeSB0aWVuZSBsYSB0aXR1bGFyaWRhZCBzb2JyZSBsYSBtaXNtYS4KPGJyLz4KUEFSQUdSQUZPOiBFbiBjYXNvIGRlIHByZXNlbnRhcnNlIGN1YWxxdWllciByZWNsYW1hY2nDs24gbyBhY2Npw7NuIHBvciBwYXJ0ZSBkZSB1biB0ZXJjZXJvIGVuIGN1YW50byBhIGxvcyBkZXJlY2hvcyBkZSBhdXRvciBzb2JyZSBsYSBvYnJhIGVuIGN1ZXN0acOzbiwgRUwgQVVUT1IsIGFzdW1pcsOhIHRvZGEgbGEgcmVzcG9uc2FiaWxpZGFkLCB5IHNhbGRyw6EgZW4gZGVmZW5zYSBkZSBsb3MgZGVyZWNob3MgYXF1w60gYXV0b3JpemFkb3M7IHBhcmEgdG9kb3MgbG9zIGVmZWN0b3MgbGEgdW5pdmVyc2lkYWQgYWN0w7phIGNvbW8gdW4gdGVyY2VybyBkZSBidWVuYSBmZS4KPGhyLz4KRUwgQVVUT1IsIGF1dG9yaXphIGEgTEEgVU5JVkVSU0lEQUQgREVMIFJPU0FSSU8sICBwYXJhIHF1ZSBlbiBsb3MgdMOpcm1pbm9zIGVzdGFibGVjaWRvcyBlbiBsYSBMZXkgMjMgZGUgMTk4MiwgTGV5IDQ0IGRlIDE5OTMsIERlY2lzacOzbiBhbmRpbmEgMzUxIGRlIDE5OTMsIERlY3JldG8gNDYwIGRlIDE5OTUgeSBkZW3DoXMgbm9ybWFzIGdlbmVyYWxlcyBzb2JyZSBsYSBtYXRlcmlhLCAgdXRpbGljZSB5IHVzZSBsYSBvYnJhIG9iamV0byBkZSBsYSBwcmVzZW50ZSBhdXRvcml6YWNpw7NuLgoKLS0tLS0tLS0tLS0tLS0tLS0tLS0tLS0tLS0tLS0tLS0tLS0tLS0KClBPTElUSUNBIERFIFRSQVRBTUlFTlRPIERFIERBVE9TIFBFUlNPTkFMRVMuIERlY2xhcm8gcXVlIGF1dG9yaXpvIHByZXZpYSB5IGRlIGZvcm1hIGluZm9ybWFkYSBlbCB0cmF0YW1pZW50byBkZSBtaXMgZGF0b3MgcGVyc29uYWxlcyBwb3IgcGFydGUgZGUgTEEgVU5JVkVSU0lEQUQgREVMIFJPU0FSSU8gIHBhcmEgZmluZXMgYWNhZMOpbWljb3MgeSBlbiBhcGxpY2FjacOzbiBkZSBjb252ZW5pb3MgY29uIHRlcmNlcm9zIG8gc2VydmljaW9zIGNvbmV4b3MgY29uIGFjdGl2aWRhZGVzIHByb3BpYXMgZGUgbGEgYWNhZGVtaWEsIGNvbiBlc3RyaWN0byBjdW1wbGltaWVudG8gZGUgbG9zIHByaW5jaXBpb3MgZGUgbGV5LiBQYXJhIGVsIGNvcnJlY3RvIGVqZXJjaWNpbyBkZSBtaSBkZXJlY2hvIGRlIGhhYmVhcyBkYXRhICBjdWVudG8gY29uIGxhIGN1ZW50YSBkZSBjb3JyZW8gaGFiZWFzZGF0YUB1cm9zYXJpby5lZHUuY28sIGRvbmRlIHByZXZpYSBpZGVudGlmaWNhY2nDs24gIHBvZHLDqSBzb2xpY2l0YXIgbGEgY29uc3VsdGEsIGNvcnJlY2Npw7NuIHkgc3VwcmVzacOzbiBkZSBtaXMgZGF0b3MuCg== |