Lessons Learned from Real-World Experiences The journey to scaling data analytics capabilities – the ability to general business value from data - is fraught with challenges, as many digital transformation leaders can attest. Through their stories, we g ...
No, the problem is not the budget. It’s not a lack of collaboration. Your marketing team is certainly creative and good at what they do. But there’s about a 1 in 3 chance that they don’t have the analytical skills they need in a data-whelmed world. ...
As the CEO of a data science consulting company, I’ve noticed many organizations fall short in effectively managing their data. A lot of this has to do with their systems. Even if their data systems are not technically flawed, they are still unable to sol ...
As a startup’s product adoption soars and customers start flooding in on an exponential basis, startups face the challenge of an influx of volume and variety of data from multiple sources. With all this messy data in hand, executives know that the next de ...
When a transportation service uses data analytics to optimize its delivery routes and save fuel costs, it also saves the environment from a tremendous amount of pollution. In today’s world, such an improvement in business operations exemplifies the ultima ...
For many startups, improved customer retention is the golden ticket to fast and exponential growth. When considering how to leverage your startup's data to improve retention, predictive analytics is a powerful tool for cracking the code on what motivates ...
Startups who neglect customer retention are essentially leaving money on the table. This is because there's a lingering myth that growth equals customer acquisition. The reality? True growth balances new customers with keeping the ones you already have. ...
The landscape for startups has dramatically shifted. With each penny holding more weight and the flow of venture capital not as generous as before, it's become critical for startups to refine and perfect their Customer Acquisition Cost (CAC). This means g ...
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