As investors think about integrating Environmental, Social and Governance (ESG) factors into their investment processes and strategies, the most important consideration is how quickly they can gain meaningful insights from ESG data to identify opportunities and mitigate risks. 

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The global policy community — including high-level government representatives — turned its attention to the United Nations Conference on Trade and Development (UNCTAD) eCommerce Week in April, which focused on data and digitalization for development. UNCTAD is a U.N. agency supporting 195 co…

There is value in understanding the complexity of all possible permutations that exist amongst data elements. But, the reality is that most business problems require an incredibly narrow focus to achieve optimal business value. So, the critical question is: how do you determine the focus? Us…

The Datasphere Initiative was publicly launched on April 5, 2022, on the occasion of a G7 multistakeholder meeting. Its mission is to build agile frameworks to responsibly unlock the value of data for all. The virtual event brought together almost 300 policymakers, companies, nongovernmental…

It seems that ever since Facebook made the official name change — rebranding to Meta back in October 2021 during a virtual Facebook Connect event — that the term “metaverse” has become one of the most hyped and buzziest words in media, tech, and corporate America. According to reporting from…

Over the past several years, we have seen a significant increase in the volume of available data coupled with more sophisticated and powerful analytic-specific tools and technologies. As the availability and accessibility of this data has increased, so has the desire for easy-to-consume info…

As per a study report by Future Market Insights, the global intelligent enterprise data capture software market is estimated at US$ 9 Bn in 2022, and is projected to close in on a valuation of US$ 21.1 Bn by 2029, expanding at a CAGR of 12.9% from 2022 to 2029.

Relying on biased information undermines the effectiveness of both product development in the private sector and of elaboration and implementation of policies in the public sector. In business, specifically, and if big data is shaping the world, we first need to ask: Who is responsible for s…

Traditional data governance approaches: centralized, decentralized, and hybrid, focus on governance councils and committees. These organizations are effective at driving development of policies, processes and overseeing enforcement. However, they are often seen as unwanted bureaucracy when e…