Design thinking is critical for developing data-driven business tools that surpass end-user expectations. Here's how to apply the five stages of design thinking in your data science projects. What is ...

The warehousing industry faces a significant labor issue, accounting for 50% to 70% of total budgets, as noted by a Bostontec ...

Companies are shifting towards faster, smarter and more sustainable productivity. Global supply chain warehouse professionals are being drawn in by the promise of Industry 4.0 as an industrial ...

The true measure of an effective data warehouse is how much key business stakeholders trust the data that is stored within. To achieve certain levels of data trustworthiness, data quality strategies ...

I talk to a lot of different businesses about their data, and, without fail, some form of the same question always comes up: “What is the most common reason you see data warehouse projects failing?” ...

Data lakes and data warehouses are achieving a measure of success in modern data architectures, but the emergence of the data lakehouse offers new challenges and opportunities for database ...

Salesforce has more than 150,000 customers, making it one of the most popular and most powerful customer relationship management (CRM) platforms on the market. Organizations need a 360-degree view of ...

Brands know that marketing and advertising must deliver relevant digital experiences to engage authentically with customers. This requires, with every interaction, learning more about customers by ...

In September, Stanford announced two major changes to its undergraduate education offerings: the former product design major was rebranded to the new design major, and the former data science minor ...