Practical tips for getting started

Many organizations struggle to unlock the full potential of their data. There’s a desire to do more, but obstacles keep blocking the path —analytical and engineering talent shortages, historical data of murky quality, fragmented efforts, not enough hours in the day. Or in many cases, it’s just hard to figure out the best place to start.

If you’re stuck or dissatisfied with your progress, here are eight ways you can start to capitalize on the value of the data you’re already holding, where there’s a significant ROI to be found with even a moderate level of investment.

1. Extracting data from silos

For practical or…


By Andy Myers

In this era of data analytics and data science driven by machine learning (ML) and artificial intelligence (AI), there’s often a temptation to jump straight to solving the most complex business problems because these new techniques allow for it. But for most businesses, a more immediate and tangible opportunity exists.

The metrics you use to evaluate performance may be calculated using arbitrary factors that are based more on historical business practices than on current customer behavior. Using statistical methods to recalibrate your key metrics based on actual customer behavior will result in insights that are more consistent, actionable and representative of your business, while also setting you up to implement ML and AI successfully.

The quick approach

Our brains are programed to make things look nice and to create order. We’ll often round to the nearest 5, 10 or 100 for the sake of neatness. We’ll use intervals that are…


By Andy Myers

Do you truly know who your customers are? More importantly, does everyone else at your company share the same understanding?

Having a single customer view can be incredibly valuable, allowing you to align and focus strategies and planning across departments. It also elevates a team’s ability to take targeted, personalized, and measurable actions to increase customer value and engagement over time.

It starts by understanding the underlying behaviors that your customers exhibit so that you can better cater to their needs, talk to them in a more relevant way and know what actions to take to shift…


In 1967, when testifying in front of a Congress looking to assign blame for the tragic failure of the Apollo 1 spacecraft, Astronaut Frank Borman suggested that there was no single individual or group on which blame could be assigned.

The problem was a “failure of imagination” — the team working on the project had extensively worked through the challenges that they understood. It was a challenge that they didn’t expect which blindsided them. In retrospect, the failure of the Apollo 1 problem was predictable and in plain sight. …

Aviary

We help clients achieve transformative growth using advanced analytics, data modeling, and AI. http://aviaryanalytics.com

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