Transforming community-led monitoring data for better services:- Identifying data-driven solutions

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Since the main characteristics of CLM is its focus on getting input from recipients of services in a routine and systematic approach that will translate into action and change, putting and capturing their needs, and voices at the center of the national response then requires identification of data-driven solutions.

What Do We Mean by Data-Driven?

Data-drivenness is about building tools, abilities, and, most crucially, a culture that acts on data touching upon the whole analytics value chain, indeed the whole organization. Refer to What Do We Mean by Data-Driven? – Creating a Data-Driven Organization [Book] (oreilly.com)

Mainstreaming Data analytics in CLM may be of great support to local civil society organizations in assisting their funders and the public institutions at large in identifying issues of service access that have resulted in chronic problems, obstacles, and hurdles for long-term service consumption.

According to Thomas H. Davenport & Jeanne G. Harris, (2007), data analytics means the extensive use of data, statistical and quantitative analysis, explanatory and predictive models, and fact-based management to drive decisions and actions. Refer to Thomas H. Davenport & Jeanne G. Harris. (2007). Competing on Analytics: The New Science of Winning (Vol. 148). https://www.pdfdrive.com/competing-on-analytics-the-new-science-of-winning-e193192329.html

Using data analytics will enhance CLM’s mission in the strategic identification of data-driven solutions, which will ultimately lead stakeholders in eliminating the prevailing barriers, while at the same time ensuring that beneficiaries continue to receive optimal client-centered services.

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Published by pshoki

Mr. Pantaleon Shoki is a graduate in economics. He has attended a wide range of postgraduate training opportunities including social sector analysis, an initiative of the World Bank under its IDF grant. The purpose of the program was to build the analytical capacity of Tanzania nationals. As a Social Sector Analyst, he has obtained good experience in research design and management as well as in data analysis and presentations using different soft wares such as STATA, SPSS, Ms-Excel,Ms-Word, Ms-Access, Ms-PowerPoint, and MsProject Mr. Shoki has held various positions and responsibilities with a number of international and local organizations in Tanzania. Since 1993 up to 1998, the World Bank has engaged Mr. Shoki into different research projects. The positions and responsibilities ranged from being a supervisor (in Tanzania Human Resource Development Survey, Tanzania Systematic Client Consultations, which covered various regions and districts) to a full consultant as a local staff of the World Bank in Tanzania (in the economic and social work study, which was conducted in six regions of mainland Tanzania. He was also a researcher for the World Bank/WHO/UNDP special program for research and training (in a study on Exemption Mechanisms for the Poor in Tanzania) responsible for fieldwork supervision managing a group of research assistants.

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