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Data Analytics to Drive Reporting and Insights for Timely Decisions and Improved Business Performance

机译:数据分析可推动报告和见解,以便及时做出决策并改善业务绩效

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Many large organizations have centralized reporting teams and data analysts who develop a variety of reports for communications with senior management and project and portfolio stakeholders. In an ideal world, the team understands the intricacies of the work and possesses strong data management and analysis skills. The challenges for these teams include having to use data that is often contained in various disparate systems as opposed to one source, making analysis complicated and time-consuming. Both reporting and data analysis play key roles in influencing and driving decisions and actions that lead to greater value for organizations; however, what often results is significant effort to manually curate the data to update recurring reports and less time for analyzing the data to drive key insights for timely decisions and improved business performance. In addition, large organizations cannot pivot as quickly to adopt industry-leading software or data solutions, resulting in a mixture of incompatible systems with different data formats and components. By developing a standardized reporting framework and a robust system architecture with a historical database from a data-driven perspective, an organization can be equipped with an end-to-end reporting structure and process that allows for transparent data analytics, helping project and portfolio stakeholders and leadership reach decisions more quickly and manage their business more effectively. This paper will focus on four key areas to consider when developing a standardized reporting framework for large organizations: data automation and management, assessing effectiveness and consistency of key performance indicators, layered reporting that caters to the various levels of the target audience, and current systems and tools, including the integration of business intelligence and data visualization solutions. It will include the requirements to implement the framework, the development process, and the benefits that it offers.
机译:许多大型组织拥有集中的报告团队和数据分析人员,他们开发各种报告以与高级管理层以及项目和投资组合利益相关者进行沟通。在理想的世界中,团队了解工作的复杂性,并拥有强大的数据管理和分析技能。这些团队面临的挑战包括必须使用通常包含在各种不同系统中的数据,而不是使用一种数据源,这使得分析变得复杂且耗时。报告和数据分析在影响和推动决策和行动中发挥关键作用,从而为组织带来更大的价值。但是,通常的结果是需要付出大量的努力来手动整理数据以更新定期报告,并花费较少的时间来分析数据以驱动关键洞察力,以便及时做出决策并改善业务绩效。此外,大型组织无法迅速采取行动来采用行业领先的软件或数据解决方案,从而导致具有不同数据格式和组件的不兼容系统混合在一起。通过从数据驱动的角度开发具有历史数据库的标准化报告框架和强大的系统架构,组织可以配备端到端报告结构和流程,从而可以进行透明的数据分析,从而帮助项目和投资组合利益相关者和领导层可以更快地做出决策,并更有效地管理其业务。本文将重点关注为大型组织开发标准化报告框架时要考虑的四个关键领域:数据自动化和管理,评估关键绩效指标的有效性和一致性,适合目标受众各个级别的分层报告以及当前系统和工具,包括商业智能和数据可视化解决方案的集成。它将包括实施框架的要求,开发过程及其带来的好处。

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