Towards AI

OCTOBER 31, 2024

Last Updated on October 31, 2024 by Editorial Team Author(s): Jonas Dieckmann Originally published on Towards AI. Data analytics has become a key driver of commercial success in recent years. The ability to turn large data sets into actionable insights can mean the difference between a successful campaign and missed opportunities.

Data Quality 122

Data Quality Analytics Analytics Clean Data 122

phData

JUNE 26, 2024

Cleaning and preparing the data Raw data typically shouldn’t be used in machine learning models as it’ll throw off the prediction. Data engineers can prepare the data by removing duplicates, dealing with outliers, standardizing data types and precision between data sets, and joining data sets together.

Machine Learning 52

Machine Learning Machine Learning Data Engineering Data Engineer 52

Pickl AI

DECEMBER 16, 2024

This capability is essential for businesses aiming to make informed decisions in an increasingly data-driven world. In 2024, the global Time Series Forecasting market was valued at approximately USD 214.6 billion in 2024 and is projected to reach a mark of USD 1339.1 billion by 2030.

AI 52

AI AI Machine Learning Machine Learning 52

phData

JANUARY 7, 2025

Other models should reference the cleaned data from the staging model rather than the raw source. As dbt Labs 2024 Partner of the Year, phData is uniquely positioned to quicken your dbt success story. The dbt project evaluator package highlights areas where your project does not meet the standards set by dbt Labs.

SQL 52

SQL Data Warehouse Database Data Modeling 52