We summarise the alternative data sources that can help predict changes to monetary policy and whether central banks are hawkish or dovish. We also summarise other data sources that help track general macro sentiment and highlight the studies that find value in using sentiment data to forecast headline economic indicators.

In honour of Valentine’s Day, here are 10 datasets that deserve more love from investors. They may have failed to win the hearts of data buyers but we think they have some hidden qualities that make them worth another look.

We highlight the key drivers behind these discontinuations, summarise datasets that terminated and discuss some risk factors and market trends to consider throughout 2024.

After record discontinuations in 2023, we take a look at 10 data offerings that might join the growing list of discontinuations in 2024.

Our proprietary metadata reveals how alt data is developing in new markets around the world, highlighting not only the most popular datasets in each region but also looking at trends in pricing and adoption.

We revisit the ever-changing world of consumer transaction data, exploring developments in e-receipts, point-of-sale and credit and debit card data.

While Ozempic stole 2023’s healthcare headlines, the sector also saw an uptick in private equity interest. In this intelligence piece we explore key areas where alternative data can offer additional insights.

We look back at last year’s contribution to the alternative data landscape. New jargon has made its way into common use, while leading alt data categories have seen their ecosystems disrupted. Below, we look at what these developments mean for data buyers and sellers, and how the landscape is changing.

In January 2023, we looked at 10 data products that might not survive the year. In this follow-up, we summarise the current state of those products and their vendors.

News data has historically been a popular source of alternative data due to its ability to influence investor sentiment and move markets. The rise in AI has increased the scrutiny of underlying training data for generative AI models and increased understanding of the value of proprietary data. As newspapers increasingly take actions to protect and monetise their content, we discuss the existing news landscape, the growth of publishers selling directly to investors and the implications of these developments.