Becoming data-driven: The role of trust in successful analytics adoption

Organizations have more data, more dashboards, and more sophisticated analytics tools than ever before. And yet, many still struggle to make confident decisions quickly.

Sometimes the problem isn’t the data itself. It’s what happens between the insight and the action: unclear ownership, competing versions of the truth, slow review cycles, and analytics that sit beside the business instead of helping shape it.

In today’s episode of Resoundingly Human: The INFORMS Podcast, I’m joined by Ritish Chugh, Senior Analytics Engineer with Airbnb, to talk about what it takes to move from producing analytics to building an organization that actually knows how to use it.

My advice is treating analytics more like a trust problem rather than just like a technology problem. I think it's at the end of the day, whatever tools the data and analytics organization is really building, it's for the leaders and humans. I mean, the [more] we can make that easily digestible, as well as something that has validations built in, is trustable, as well as at the same time is consistent, as well as has transparency built into it. I think it can make organization’s life a lot easier, as well as, you know, even increase the trust for the analytics organization to be the front runner in terms of building technology solutions.

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