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How Data Warehousing and Data Mining Work Together for Better BI

In this article, we explain the relationship between data warehousing and data mining and look at several examples of how different industries are using data.

GDPR Requirements: Two Years Later

The road map for a corporation to achieve GDPR requirements varies from source to source. Every business within the EU should understand what is being collected, how it's being used and how long it will be kept.

Analytics for Games

Analytics for games has changed dramatically over the past 15 years. The advent of mobile gaming platforms has produced a flood of new data points and the need to update, personalize, and upsell the gaming experience.

Strengthening the Healthcare Supply Chain

Big data can strengthen the healthcare supply chain by helping teams build in the necessary redundancies to weather unexpected disruptions and make better decisions.

Data Engineering vs. Data Science

The role of a data engineer and data scientist can look very similar — both are crucial to moving an organization’s data strategy forward. And both career paths offer exceptional opportunities.

How a Data Ingestion Framework Powers Big Data Usage

A data ingestion framework is a process for transporting data from various sources to a storage repository or data tool. How you ingest data will vary by use case..

Effective Media Buying Requires Deep Audience Insights

With the plethora of digital platforms and services available today, media buying depends on big data for audience insights to help marketers keep pace.

Data-Driven Media Planning

Data-driven media planning connects the right message with the right audience at the right time, resulting in more effective marketing campaigns.

Optimizing Inventory with Data Analytics

Using data to power inventory optimization can increase revenue, improve efficiency, and provide a better experience for customers.