Understanding the data we collect is essential—it allows us to identify trends and uncover answers about our world. However, stories in our data frequently go untold. Large datasets are hard to share between research communities due to their size, security restraints, and complexity. Even if these datasets are accessible to users, the tools needed to query them often require deep technical knowledge.
The COVID-19 global pandemic has added new urgency to the quest for digital transformation. The pandemic disrupted business processes and displaced and disconnected people. Organizations across the globe witnessed first-hand that the speed with which they could get new automations and applications in place could literally make or break the company. The world quickly learned what some industry leaders already knew: the ability to develop an application and quickly bring it to market is crucial.
Data scientists and engineers at the online data science education platform focus on attribution, customer lifetime value and the ideal customer profile.
Scribe Media and Grocery TV share how they join data to determine job costing, cash forecasting, executive reporting, revenue sharing and more.
With a modern data stack, Ziff Davis centralizes Google Analytics 360 and ad data to gain insights into paid search performance.
Fivetran integrates MariaDB data into BigQuery, enabling Australia’s largest ecommerce pet store to understand and improve its customer journey.
Neural Guard produces automated threat detection solutions powered by AI for the security screening market. With the expansion of global trends like urbanization, aviation, mass transportation, and global trade, the associated security and commercial challenges have become ever more crucial.
The FORTUNE 500 list by FORTUNE is one of those venerable institutions of the business world. Since 1955, FORTUNE has been portraying the shape of the U.S. economy through its annual top 500 companies.
