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Using Third-Party Data to Empower Decision Makers

August 22, 2024
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Extracting insights from data poses challenges for several reasons. Data generation continues to accelerate, increasing data volume exponentially. Finding relevant insights amidst an avalanche of messy data is nearly impossible.

This leads to another barrier: The inconsistencies in data format can lead to more wrangling than results. A survey in 2020 found that data scientists spend up to 45% of their time on data wrangling.4 While that’s a marked improvement from past estimates in the 70%–80% range, it still represents time taken away from developing and deploying value-driving analytics.

How can organizations fully take advantage of credible data and AI technologies to democratize access and use across the enterprise?

Read the complete e-book to understand the challenges and benefits of integrating third-party data into decision-making analytics and presents seven use cases that organizations worldwide can leverage to gain a performance advantage.