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2022: A transformative year in financial market data?

Five themes to watch in ever-changing data market

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Managed services market forecast to grow

The world of financial market data never stands still but 2022 is shaping up to be especially challenging for consumers of this vital information that underpins trade and investment in all financial assets.

Markets remain volatile, emphasizing the value of reliable and timely financial data. At the same time, inflation in the developed world is soaring for the first time in years, prompting firms to keep a hawkish eye on data costs and usage.

Data - it's the 'how' in asking for what your team needs

It’s difficult to ask for the resources your team needs when you can’t justify why you need them. As an information professional team leader, or team member, you might know that you need to right-size certain subscriptions, purchase new ones or do away with some that are being under-utilized - ultimately saving costs and boosting team efficiency - but it is difficult to justify this to management until you have established the reasons why, and can back them up.

Checklist: 4 steps to mitigate market data application compliance risk

As financial institutions consume more data from more sources than ever before, the task of administering external data services is growing both in complexity and scale.  Do you struggle keeping track of which applications are consuming what data, and ensuring this checks out with licensing agreements?

Start the New Year right by staying on top of 2022 exchange updates

PEAR (Policies, Explanations, Analytics, Repository) helps 500+ market data professionals keep up to date with the latest exchange policy trends and interpretations by providing access to information around exchange products, including the fees for accessing & distributing data, as well as understanding how to use the data compliantly.

Well I declare! Reporting to market data exchanges & vendors can be hassle-free

Ask market data professionals at any financial firm what keeps them awake at night and declaring their data usage to stock exchanges and other vendors is probably high on the list.

The task is time-consuming and growing in complexity. Getting it wrong can add to managers’ data costs and lead to unwelcome audits.

What if my current research (and other business) requests made future enquiries easier to handle?

What if the work you were doing now was, without any extra effort on your part, streamlining future workflows, avoiding any duplication, and preparing metrics for budgeting meetings down the line?