Data Analysis
根据已达成的服务请求和预期结果，服务可能包括：·与业务需求相关以及建筑师和 ABA 利益关方提供的数据分析。·在需要时，对协议交付物而言，将物理或虚拟数据输入到数据库中进行管理。· 建立适合业务需求的分析模型。·直接实施仪表板或提供其构建的文档技术和功能指导。·使用 SQL,R,Python 和其他同意技术进行特定或探索性临时分析。· 使用 Python 和/或 Scala 的数据分析技术以及应用相关统计方法。·使用如适用的 BI 工具，例如 Looker,SAP SAC,Tableau,QlikView 或 Qlik Sense. ·需要时使用包括 BigQuery,Airflow,DataProc 和 AI 服务在内的 GCP 功能，与 Git 一起进行版本控制。·通过 Jira,Confluence 和 Xray 编制和执行手动函数测试和可追踪性维护。·提供敏捷环境和专业合作以英语为必要水平。·服务作为输出和结果而不是单个角色或位置提供。供应商仍然完全负责组织其资源，选择工作方法，确保服务能力和应用内部治理。除非通过达成的变化请求加入，否则该范围不包括运营应用开发，受益者基础设施管理，最终架构决策和与达成的数据分析成果无关的活动。详细界限必须完成并合同验证。数据分析成果 · 数据分析报告说明目标，数据来源，假设，方法，结果和限制。·具体或探索性随时分析，结论和可追溯性的证据。· 笔记本，SQL 查询，Python/R/Scala 脚本或其他分析文物，如果包含在服务请求中。数据摄入和数据湖交付材料 ·涵盖源头，目的地，转换规则和控制的物理或虚拟摄入规格。·必要时配置并验证数据湖摄入。·覆盖错误，例外和纠正行动的摄入控制报告。分析模型交付材料·分析模块
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Depending on the agreed service requests and expected outcomes, the Service may include:
- Analysis of data available in operational systems and/or the DataLake, in connection with business needs and with input from architects and ABA stakeholders.
- Administration of physical or virtual data ingestion into the DataLake where required for the agreed deliverables.
- Construction of analytical models appropriate to the business need.
- Direct implementation of dashboards or provision of documented technical and functional guidance for their construction.
- Specific or exploratory ad-hoc analyses using SQL, R, Python and other agreed technologies.
- Use of data analysis techniques in Python and/or Scala and application of relevant statistical methodologies.
- Use, as applicable, of BI tools such as Looker, SAP SAC, Tableau, QlikView or Qlik Sense.
- Use, as required, of GCP capabilities including BigQuery, Airflow, DataProc and AI services, together with Git for version control.
- Preparation and execution of manual functional testing and maintenance of traceability through Jira, Confluence and Xray.
- Delivery in an Agile context and professional collaboration in English at the level required for the Service.
- The Services are delivered as outputs and results, not as individual roles or positions. The Supplier remains fully responsible for organizing its resources, choosing its working methods, ensuring service capacity and applying its internal governance.
Unless added through an agreed change request, the scope excludes operational application development, administration of the Beneficiary infrastructure, final architecture decisions and activities unrelated to the agreed data analysis deliverables. Detailed boundaries are to be completed and contractually validated.
Data Analysis Deliverables
- Data analysis report stating the objective, data sources, assumptions, method, results and limitations.
- Specific or exploratory ad-hoc analysis with conclusions and traceability evidence.
- Notebooks, SQL queries, Python/R/Scala scripts or other analytical artefacts where included in the service request.
Data Ingestion and DataLake Deliverables
- Physical or virtual ingestion specification covering source, destination, transformation rules and controls.
- Configured and validated DataLake ingestion where required.
- Ingestion control report covering errors, exceptions and corrective actions.
Analytical Modelling Deliverables
- Analytical model aligned with the stated business need.
- Documentation of variables, rules, assumptions and limitations.
- Functional and, where applicable, statistical validation results.
BI and Dashboard Deliverables
- Implemented dashboard or documented specification and guidance for its construction.
- Definitions of indicators, calculation rules, sources and reconciliation criteria.
- Functional test evidence and validation result.
Documentation and Governance Deliverables
- Technical and functional documentation maintained in Confluence or the agreed repository.
- Traceability records in Jira and/or Xray.
- Periodic Service report on deliverables, blockers, risks, dependencies and corrective actions.
Quality Control Deliverables
- Manual functional test plan and test evidence.
- Non-conformity register and remediation evidence.
- Handover package for accepted deliverables, including code, documentation and usage instructions where applicable.
Originally posted on Himalayas