I. BACKGROUNDData analytics has emerged as a powerful tool; facilitating informed decision-making across Government. The senior management at the Ministry of Finance (MoF) acknowledges the transformative potential of data-driven insights; with a clear directive to leverage Artificial Intelligence; Big Data; and Data Analytics for strategic endeavors. However; there seems to be an important disparity between this strategic vision and the current operational capacities within the MoF. While there seem to be “islands of excellence” where robust data analytics are being undertaken; overall; the existing operational teams seem to generally lack access to data; the right analytical skills; and potential resources and infrastructure to meet this demand effectively. This disparity can lead to a significant divergence between management expectations and the current operational landscape; impairing the Ministry's ability to make well-founded decisions; capitalize on opportunities; and effectively address emerging issues. As a result of the relevance of data for the public sector; several data maturity and analytics models and frameworks are being used worldwide;[1] <https://worldbankgroup-my.sharepoint.com/personal/chuntangadi_worldbank_org/Documents/Document/PFM/PFM%20MDTF%20Phase%20III/Component%204%20-%20Digital/DARA/ToR_DARA_Final.docx#_ftn1> however; the specific functions of Ministries of Finance and the availability of data require a tailored solution. Moreover; the suggested work will provide much more granular details regarding the state of data analytics in the MoF instead of mainly ranking functions without an actionable roadmap. The World Bank will hire an international firm to jointly develop; in close partnership with the MoF; a detailed Data Analytics Readiness Assessment (DARA) methodology that considers the Ministry's unique context and requirements. The proposed assessment will help harmonize strategic goals with operational realities and will be piloted in two Director General’s Office whose work is data-intensive: DG Tax; and DG Treasury.II. OBJECTIVES At the request of and in support of the Ministry of Finance; the World Bank is seeking the services of a qualified consulting firm (hereinafter the “Consultant”) to develop a methodology in close consultations with the World Bank team and conduct a Data Analytics Readiness Assessment in two Director General’s Offices (DGO). The DARA shall clearly identify the specific senior management demand for data analytics and its specific use cases. It shall also identify the existing data analytics supply from the different operational teams; including its technical quality. As part of the DARA; the Consultant shall conduct considerable international benchmarking; mostly but not exclusively of Ministries of Finance worldwide; to identify areas where additional data analytics should be developed to support senior management decision-making in Indonesia. Finally; the Consultant shall provide specific and actionable recommendations to operational teams and senior management on enhancing the use of data analytics for decision-making in the short; medium; and long terms. III. SCOPE OF WORK:In consultation with the World Bank; the hired Consultant shall develop a detailed methodology for the DARA; which reflects the overall needs of Finance Ministries. The DARA will be first implemented in the Tax and Treasury departments with potentially others to follow in a separate exercise. The DARA shall provide a detailed assessment and practical recommendations on eight topics:[2] <https://worldbankgroup-my.sharepoint.com/personal/chuntangadi_worldbank_org/Documents/Document/PFM/PFM%20MDTF%20Phase%20III/Component%204%20-%20Digital/DARA/ToR_DARA_Final.docx#_ftn2> 1. Demand & Supply for Data Analytics: Identifies and assesses specific senior management demands for data analytics to improve decision-making. Highlights all examples of how officials use data analytics and identifies the unmet demand for analysis. Identifies and assesses the quality of all the existing data analytics supply; including its usage and technical robustness. It maps the supply and identifies the core elements each analysis requires (e.g.; data source; frequency; type of analysis; etc.).2.Data Analytics’ Opportunities: Based on international benchmarking of similar organizations[3] <https://worldbankgroup-my.sharepoint.com/personal/chuntangadi_worldbank_org/Documents/Document/PFM/PFM%20MDTF%20Phase%20III/Component%204%20-%20Digital/DARA/ToR_DARA_Final.docx#_ftn3> ; identify specific data analytics use cases that might not have been developed by the Ministry of Finance in Indonesia and are critical for senior management decision-making. It provides a roadmap on how MoF could develop the identified use cases (e.g.; what data is needed; skills required; etc.).3.Data and Data Management: Identifies new opportunities to leverage existing data and acknowledges gaps for current and future use cases. Provides insights into data management; including data pipelines; data qualityne st c tcamdiidon esedvscfaycs. 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