[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"detail-sidebar-cat-1-en-105":3,"doc-seo-239579-105":53,"doc-detail-239579-en":127},{"code":4,"msg":5,"data":6},0,"success",[7,14,19,24,29,34,39,44,49],{"id":8,"doc_module":9,"doc_module_name":10,"category_name":11,"show_sort_weight":12,"slug":13},11,1,"Template","Presentations",90,"presentations",{"id":15,"doc_module":9,"doc_module_name":10,"category_name":16,"show_sort_weight":17,"slug":18},12,"Resumes",80,"resumes",{"id":20,"doc_module":9,"doc_module_name":10,"category_name":21,"show_sort_weight":22,"slug":23},14,"Invoices",70,"invoices",{"id":25,"doc_module":9,"doc_module_name":10,"category_name":26,"show_sort_weight":27,"slug":28},15,"Posters",60,"posters",{"id":30,"doc_module":9,"doc_module_name":10,"category_name":31,"show_sort_weight":32,"slug":33},16,"Social Media",50,"social-media",{"id":35,"doc_module":9,"doc_module_name":10,"category_name":36,"show_sort_weight":37,"slug":38},17,"Forms",40,"forms",{"id":40,"doc_module":9,"doc_module_name":10,"category_name":41,"show_sort_weight":42,"slug":43},18,"Letters",30,"letters",{"id":45,"doc_module":9,"doc_module_name":10,"category_name":46,"show_sort_weight":47,"slug":48},21,"Paper Templates",5,"papers-templates",{"id":50,"doc_module":9,"doc_module_name":10,"category_name":51,"show_sort_weight":4,"slug":52},158,"General","general-158",{"code":4,"msg":54,"data":55},"ok",{"site_id":56,"language":57,"slug":58,"title":59,"keywords":60,"description":61,"schema_data":62,"social_meta":120,"head_meta":122,"extra_data":124,"updated_unix":126},105,"en","generic-requirements-template-for-data-analytics-projects","Generic Requirements Template for Data Analytics Projects","","Data analytics projects are common across enterprises, yet starting them requires addressing many requirements that are often overlooked early on. This study identifies the generic requirements that should be defined for data analytics initiatives and proposes a reusable requirements template. The template reduces kickoff complexity by offering a checklist for key items. It is derived from analysis of eight completed project reports and validated against additional reports, then applied to two ongoing projects to demonstrate usefulness in real project contexts.",{"@graph":63,"@context":119},[64,80,102],{"@type":65,"itemListElement":66},"BreadcrumbList",[67,71,74,77],{"item":68,"name":69,"@type":70,"position":9},"https://docshare.wps.com","Home","ListItem",{"item":72,"name":10,"@type":70,"position":73},"https://docshare.wps.com/template/",2,{"item":75,"name":46,"@type":70,"position":76},"https://docshare.wps.com/template/paper-templates/",3,{"item":78,"name":59,"@type":70,"position":79},"https://docshare.wps.com/template/generic-requirements-template-for-data-analytics-projects/239579/",4,{"url":78,"name":59,"@type":81,"image":82,"author":87,"headline":59,"publisher":90,"fileFormat":93,"inLanguage":57,"description":61,"dateModified":94,"datePublished":95,"encodingFormat":93,"isAccessibleForFree":96,"interactionStatistic":97},"DigitalDocument",{"url":83,"@type":84,"width":85,"height":86},"https://docshare.wps.com/thumbnails/generic-requirements-template-for-data-analytics-projects/239579.png","ImageObject",442,249,{"name":88,"@type":89},"Jacob","Person",{"url":68,"name":91,"@type":92},"DocShare","Organization","application/pdf","2026-10-14","2026-09-11",true,{"@type":98,"interactionType":99,"userInteractionCount":101},"InteractionCounter",{"@type":100},"ViewAction",7,{"@type":103,"mainEntity":104},"FAQPage",[105,111,115],{"name":106,"@type":107,"acceptedAnswer":108},"What is the purpose of the generic requirements template in this paper?","Question",{"text":109,"@type":110},"The template provides a checklist of necessary generic requirements to be defined at the start of data analytics projects, reducing complexity during project initiation.","Answer",{"name":112,"@type":107,"acceptedAnswer":113},"How does the paper define a data analytics project?",{"text":114,"@type":110},"It treats a data analytics project as four phases: Initiation, Acquisition, Analysis, and Presentation, with initiation requirements influencing later phases.",{"name":116,"@type":107,"acceptedAnswer":117},"Which types of analytics are in scope, and why?",{"text":118,"@type":110},"Only descriptive and diagnostic analytics are considered, because generic requirements depend on the analytics type, while predictive and prescriptive analytics are left out of scope.","https://schema.org",{"og:url":78,"og:type":121,"og:title":59,"og:site_name":91,"og:description":61},"article",{"robots":123,"canonical":78},"index,follow",{"doc_id":125,"site_id":56},239579,1789150768,{"code":4,"msg":5,"data":128},{"doc_id":125,"user_id":129,"nickname":88,"user_avatar":130,"doc_module":9,"category_id":45,"category_name":46,"doc_title":59,"doc_description":61,"doc_content":131,"file_id":132,"file_url":133,"file_type":134,"file_size":135,"view_count":101,"is_deleted":4,"is_public":9,"is_downloadable":9,"audit_status":9,"page_count":136,"language":137,"language_code":57,"site_id":56,"html_lang":57,"table_of_contents":138,"faqs":139,"seo_title":140,"seo_description":61,"update_tm":126,"read_time":79},962084931830,"https://ap-avatar.wpscdn.com/davatar_a8503ba1806abce46bf441b54a3ca4cd","Generic requirements template for data analytics Aritha Kumarasinghe1 and Marite Kirikova1  \n1 Department of Artificial Intelligence and Systems Engineering, Riga Technical University, 6A Kipsalas Street, Riga, LV- 1048, Latvia  \nAbstract  \nData analytics projects have become a common accomplishment in many enterprises. However,  \nestablishing a data analytics project requires consideration of many factors that are not always recognized at the very beginning of the project. This study seeks to identify what generic requirements must be defined for data analytics projects and proposes a requirements template for the generic requirements. The use of the template can reduce the complexity of starting the analytics projects by providing a checklist of necessary requirements to be considered at the beginning of the project. The template is derived from the analysis of eight data analytics project reports for descriptive and diagnostic analytics tasks validated against the two more accomplished analytics project reports. Additionally, the template has been applied to two ongoing projects to demonstrate the utility of the template within a project context.  \nKeywords  \nRequirements, Data Analytics, Project, Requirements Template  \n1. Introduction  \nData analytics is the field of study that relates to systematically analyzing a real-world system by using mathematical and statistical techniques on data that represents the system in question [1] . Within this paper a data analytics project is considered as consisting of the following four phases:  \n1. Initiation – this phase of the analytics project is the starting point and can consist of project stakeholders defining the goal(s) of the project, creating a project plan, as well as defining requirements.  \n2. Acquisition – this phase of the analytics project is undertaking the acquisition of data from various data sources and transforming it into a format that allows for the application of data analytics techniques.  \n3. Analysis – this phase consists of the application of data analysis techniques on the acquired data to gain insights concerning the system to which the acquired data refers.  \n4. Presentation – this phase consists of conveying the insights produced by the analysis phase to the stakeholders of the project.  \nThe requirements defined in the initiation phase influence the rest of the data analytics project. Therefore, it is essential to have a full set of requirements to ensure that the phases that follow are as smooth as possible. Establishing such requirements from scratch may require dealing with high complexity due to several issues to be considered and initial ambiguity in expectations regarding the results [2] . To reduce this complexity, the paper proposes to look at already accomplished data analytics projects to see whether any commonalities can be transferred into a generic requirements template applicable in the initial phases of data analytics projects.  \nThe ISO/IEC/IEEE International Standard—Systems and software engineering—Life cycle processes—Requirements engineering, in ISO/IEC/IEEE 29148:2018(E) [3] defines a requirement as a statement that translates or expresses a need and its associated constraints and  \nBIR-WS 2023: BIR 2023 Workshops and Doctoral Consortium, 22nd International Conference on Preceptive in Business Informatics Research (BIR 2023), September 13-15, 2023, Ascoli Piceno, Italy  \n [arithakumarasinghe@gmail.com](arithakumarasinghe@gmail.com) (A. Kumarasinghe); [marite.kirikova@rtu.lv](marite.kirikova@rtu.lv) (M. Kirikova)  \n 0009-0000-5915-8919 (A. Kumarasinghe); 0000-0002-1678-9523 (M. Kirikova)© 2023 Copyright for this paper by its authors.  \nUse permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0) .  \nCEUR Workshop Proceedings ([CEUR-WS.org](CEUR-WS.org))  \nconditions. In data analytics projects, a special emphasis should be placed on defining the constraints that relate to a data analytics project, such as ","cbCaiqTaPrj0ha8M","https://ap.wps.com/l/cbCaiqTaPrj0ha8M","pdf",649927,10,"English","# Introduction\n## Data analytics project phases\n## Requirements engineering background\n# Research method\n## Bottom-up approach\n# Proposed template\n## Template presentation","[{\"question\":\"What is the purpose of the generic requirements template in this paper?\",\"answer\":\"The template provides a checklist of necessary generic requirements to be defined at the start of data analytics projects, reducing complexity during project initiation.\"},{\"question\":\"How does the paper define a data analytics project?\",\"answer\":\"It treats a data analytics project as four phases: Initiation, Acquisition, Analysis, and Presentation, with initiation requirements influencing later phases.\"},{\"question\":\"Which types of analytics are in scope, and why?\",\"answer\":\"Only descriptive and diagnostic analytics are considered, because generic requirements depend on the analytics type, while predictive and prescriptive analytics are left out of scope.\"}]","Generic Requirements Template for Data Analytics Projects | PDF"]