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Tag: data cleansing

Predicting Customer Behavior With the Help of Data Science

When it comes to the SaaS landscape, understanding and predicting customer behavior is more crucial than ever. Luckily, data science provides a window into...

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Ten Revolutionary Things About AI – Part 1

Artificial intelligence is promising to disrupt a wide array of legacy practices. - Dan Primack, Axios PRO Rata. Based on my firsthand experience with the AI...

Why those in financial services must spring clean their customer databases

With the cost of living crisis continuing and slow economic growth forecast for the remainder of the year, these are challenging times for financial...

Master Data vs. Reference Data – DATAVERSITY

The terms “master data” and “reference data” can be confused fairly easily. Both provide data that changes only occasionally over time and provide data...

Creating a Data Monetization Strategy – DATAVERSITY

A data monetization strategy is an executable plan for extracting “value” from data and converting it into revenue-generating opportunities. It involves analyzing and leveraging...

Data Lakehouse Architecture 101 – DATAVERSITY

A data lakehouse, in the simplest terms, combines the best functionalities of a data lake and a data warehouse. It offers a unified platform...

Data Warehouse vs. Database – DATAVERSITY

What are data warehouses and databases? How are they different, and when should you use a data warehouse vs. database to store data? Below,...

Data Integration Tools – DATAVERSITY

Data integration tools are used to collect data from external (and internal) sources, and to reformat, cleanse, and organize the collected data. The ultimate...

SaaS Compliance: A Comprehensive Guide for Business Roles

Why should business roles bother with a compliance guide? Well, compliance is a very big deal these days, and it covers a lot of...

How BigBasket improved AI-enabled checkout at their physical stores using Amazon SageMaker | Amazon Web Services

This post is co-written with Santosh Waddi and Nanda Kishore Thatikonda from BigBasket. BigBasket is India’s largest...

Solving the Transactional Data Drought Problem: Strategies for Banks

Solving the Transactional Data Drought Problem: Strategies for Banks In today's digital age, data has become the lifeblood of businesses across various industries. For banks,...

SQL Group By and Partition By Scenarios: When and How to Combine Data in Data Science – KDnuggets

Image by Freepik SQL (Structured Query Language) is a programming language used for managing and manipulating data. That is why SQL queries are very essential...

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