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Martin Shine Martin Shine

Should we think about data quality like we do water treatment?

Is your data flowing, but not always trustworthy? In this article, we explore how thinking about data quality like water treatment highlights the importance of cleansing data early, right at ingestion. Read more to see how better data flow leads to better decisions.

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Maja Strawinska Maja Strawinska

Getting your data ducks in a row

Clear thinking and careful preparation are essential when working with complex problems. This blog shares a simple technique that’s helped Maja approach data and technical challenges more effectively.

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Emily Taylor Emily Taylor

Addressing the Challenge of Misinformation with AI

Misinformation is a growing global concern, influencing public opinion, shaping campaign outcomes, and eroding trust in institutions. Could artificial intelligence be the answer to combating the issue?

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Emily Taylor Emily Taylor

From Data to Change: The Butterfly Effect in B-Corps

Small data shifts create big impact - just like the butterfly effect. B-Corps like Oddbox, Neighbourly, TOTM, and Butterfly Data are using data to drive business success while benefiting wider society. How can we amplify this impact? Let’s explore.

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Artificial Intelligence, Data Management Emily Taylor Artificial Intelligence, Data Management Emily Taylor

A Fairer AI Future: Tackling Data Bias and Accountability

During this year’s Public Sector AI Week, Sara Boltman, co-founder of Butterfly Data, spoke about the growing role of artificial intelligence in government and public services. Drawing from her background in data science and machine learning, she highlighted AI's potential to improve decision-making while warning of the risks of bias without proper oversight.

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SAS Made Simple, SAS, SQL Martin Shine SAS Made Simple, SAS, SQL Martin Shine

SAS Made Simple: How to prevent rounding errors when using SAS’s Proc SQL

Join us as we look at how to prevent rounding errors when using SAS’s Proc SQL; leveraging the default formatting of the SELECT INTO statement. I recently encountered  some peculiar behaviour when using the “select into” function in SAS’s proc SQL. It was rounding very large numeric values in macro variables to the nearest 5 significant figures…

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