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How We Got It So Wrong? (Divisions Between Data Teams and Company Goals)

Written by Andy Murtha on October 31, 2024

Conversations like the story below highlight a common pitfall in many organizations: the misalignment between data team and company goals. When teams operate in silos or don’t align on objectives, data can lead to surprising, and costly outcomes. Unexpected Results… “Jeff, I need to understand how we got it so wrong,” Roger said, his voice tinged with frustration. “We invested a lot in that winter collection because we thought the demand would be there.

How to Bridge the Gap Between Data Analytics and Trust for Better Decision-Making (Part 2)

Written by Andy Murtha on September 8, 2024

What if every crucial business decision you made was shrouded in doubt about your data’s reliability? This unsettling scenario is a daily reality for many organizations. Trust in data analysis is paramount for informed decision-making, yet it’s often undermined by challenges that are not only human in nature. Technical factors that affect the data itself, such as collection, storage, and integrity are critical in how data is perceived and utilized.

How to Bridge the Gap Between Data Analytics and Trust for Better Decision-Making (Part 1)

Written by Andy Murtha on August 25, 2024

What if every crucial business decision you made was shrouded in doubt about your data’s reliability? This unsettling scenario is a daily reality for many organizations. Trust in data analysis is paramount for informed decision-making, yet it’s often undermined by challenges that go beyond technical issues. Human factors such as trust, confidence, and transparency are critical in how data is perceived and utilized. Part one of this series explores the significance of trust in data and the analysts who handle it, the obstacles that weaken this trust, and the strategies to build and maintain confidence on a human level.

Loss to Launch: How a $4 Million Revelation Sparked a Consulting Company

Written by Andy Murtha on June 13, 2023

Background Around 11 years ago I joined a client seeking help to understand why they were falling short of their shipping and handling revenue targets. This revenue was to offset the expenses related to packing and shipping client orders. With access to their sales and invoice data, carrier expenses, and shipping app logic, we discovered a significant discrepancy. The client estimated $2.5 million in annual revenue for shipping and handling fees, but their actual expenses were $2 million.