SDG Data

New Benchmark Will Rank Companies On Their SDG Success

29 March 2018



In the world of social enterprise and impact investing, perhaps the most universally accepted guide is the UN’s Sustainable Development Goals.  Introduced in 2015, the 17 inter-connected goals now form an organizing principle for many entrepreneurs, as well as investors.
That’s where the World Benchmarking Alliance comes in. Recently announced at the United Nations General Assembly, it will develop free, publicly available benchmarks which will rank companies on their contributions to achieving the SDGs.

Getting to 2030: Tracking SDG Indicators for Evidence of Implementation Progress

29 March 2018

  • As international organizations, governments and practitioners around the world focus their workplans and agendas on the 2030 Agenda, data are being collected, reported on and organized in visualizations that can begin to tell the story of where we are vis-à-vis our 2030 ambitions.

  • The centerpiece for global assessments is the annual report that the UN Secretary-General is mandated to produce.

  • National governments are the keepers of official statistics for their country and seek to ensure that indicator methodologies and data collection processes will result in robust, reliable datasets.

  • Data collection at the local level is particularly important for this global agenda that seeks to “leave no one behind”.


Innovative Big Data Approaches for Capturing and Analyzing Data to Monitor and Achieve the SDGs


This report showcases around 140 big data approaches to potentially assist traditional statistical methods in capturing and analysing data to support the calculation of SDG indicators and the achievement of SDG targets. The presented approaches also aim to replace costly occasional surveys of traditional statistics with cheaper real-time information.


The structure of the report is as follows: First, the SDGs are introduced with a focus on current challenges regarding lacking data as well as methodologies. Then an overview of big data, IoT and AI is given with a focus on categorization, opportunities and challenges.


The main section is dedicated to describing, classifying and linking the aforementioned approaches to suitable SDG indicators and targets. Benefits, risks and potential recommendations for pilot projects are discussed per big data category. This is followed by a summary of the key findings, an analysis and the conclusion.

UN World Data Forum



The JUDS report titled, ‘The Frontiers of Data Interoperability for Sustainable Development,’ which was released in November 2017, presents five principles for promoting the interoperability of data: using and reusing existing standards; not overlooking metadata; using common classifications wherever possible; publishing data in machine-readable formats; and ensuring that data standards are user-driven. It also makes recommendations for structuring the work of the Collaborative on SDG Data Interoperability, a partnership that was established between the UN Statistics Division (UNSD) and the Global Partnership for Sustainable Development Data (GPSDD) in follow-up to the first UN World Data Forum (WDF), in January 2017.


The JUDS report emphasizes that the Collaborative can play a critical role in advancing the agenda for interoperability, by providing coordination among data communities and the broader development community. JUDS is a collaboration between the NGO Development Initiatives and the Publish What You Fund campaign, and it was created in response to a WDF call to modernize statistical methods and promote data interoperability.