The redesign of data pipelines, models, and governance frameworks is integral in facilitating the adoption of automation across asset servicing. Through re-engineering — which usually involves ...

Building a successful, effective data architecture, regardless of industry or company size, is easier said than done. Becoming data- and analytics-driven requires a specialized, unique plan that fits ...

Unlock the power of your data with an effective data governance framework for security, compliance, and decision-making. Data governance frameworks are structured approaches to managing and utilizing ...

As organizations look to build out more complex digital frameworks, breaking down data silos is essential. But there’s a catch: As data analysts, data scientists and others work across various groups, ...

In today's fast-paced digital world, companies spend countless dollars on their portfolio of technology projects, which have several possible architectural solutions for building systems. These ...

With the majority of DBTA subscribers reporting the existence of budgets for modernizing their data platforms, the widespread demand for greater scalability and agility becomes a difficult task to ...

India's approach to data governance, which neither favors excessive state intervention nor is exclusively laissez-faire, encourages innovation Innovations in India’s digital public infrastructure ...

Focusing on providing the Army with advanced intelligence, electronic warfare and sensor capabilities through agile acquisition is core to the PEO IEW&S mission. Processing, dissemination and ...

A headless data architecture means no longer having to coordinate multiple copies of data and being free to use whatever processing or query engine is most suitable for the job. Here’s how it works.