Databricks Lakehouse for Financial Services Helps FSIs Leverage Data Wisely

Data-driven innovation finds its place in another industry. That of Financial Services Institutions (FSIs). Even though it sounds quite uncommon at first, this is a novelty we’ll get used to pretty quickly. Actually, there is a vast amount of data within these institutions, which makes this only a little surprising. If it wasn’t for the… Continue reading Databricks Lakehouse for Financial Services Helps FSIs Leverage Data Wisely

What Is Sentiment Analysis and Its Application on dbt Models from Python

Integrating sentiment analysis into your application or software helps work with human emotions and filter feedback faster or generate meaningful and helpful responses. Understanding what exactly customers want and their overview of your business is crucial but going through massive piles of reviews manually to discover this is time-consuming and not practical. Sentiment analysis utilizes… Continue reading What Is Sentiment Analysis and Its Application on dbt Models from Python

Snowflake and AWS Partnership Update Improves Delivery and Demand Forecasting

If you’re an Amazon seller, you know the importance of data to select what products to list on the market. As expenses and savings increase for different products, navigating through market needs and offering exactly what your audience seeks depends heavily on data, and today we have big news on these services! Snowflake, the advanced… Continue reading Snowflake and AWS Partnership Update Improves Delivery and Demand Forecasting

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