Self-driving cars, payment systems, wearables, cameras, IoT devices, smart industrial machines, and online tools. From software to hardware, intelligent services and connected smart devices played a major role in the data-driven industrial development of the past decade. Nowadays, AI and machine learning analytics allow organizations to discover a new value of such smart devices. Since… Continue reading Letting Your IoT Customer Data Work For You
Tag: Data Analytics
Three Ways Venture Capital Firms Add Value Beyond A Check
It’s a tough time to be in venture capital. Years ago, VC organizations were the only place for start-ups to get the funding they needed to grow. That’s started to change. In 2018, regulation crowdfunding became more significant in terms of speed to close and funding. For example, Venture Beat found that 60% of start-ups are successful… Continue reading Three Ways Venture Capital Firms Add Value Beyond A Check
3 Best Machine Learning Models to Predict Customer Lifetime Value (CLTV)
Customer Lifetime Value (CLTV) CLTV, the projected revenue of a customer over the lifetime of engagements, is one of the most important metrics that help businesses keep track of their performance. On the customer-facing front, it provides a way to better understand customers and their relationship to the business. Marketing teams have a powerful tool… Continue reading 3 Best Machine Learning Models to Predict Customer Lifetime Value (CLTV)
Materialize + dbt Allows Users to Transform Real-Time Data with Ease
Data is complicated. (That’s why it’s called ‘data science’). Managing its use and flow remains challenging and when data pipeline management is added the complexity increases. Organizations are continuously moving the data between one another and it is no surprise that the meaning of values or individual tables of your data warehouse can be lost… Continue reading Materialize + dbt Allows Users to Transform Real-Time Data with Ease
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