Your 2022 Executive Guide to Data Science and AI

whitePaper | August 9, 2022

Data virtualization helps organizations access data across disparate sources and deliver a unified view of the data faster, cheaper, and using fewer resources than traditional data integration approaches. In this TEI, data virtualization delivered 83% reduction in time-torevenue and 65% decrease in delivery times over extract, transform, and load (ETL) processes.

whitePaper | January 27, 2020

AWS maintains a standards-based risk management program to ensure that the HIPAA-eligible services specifically support the administrative, technical, and physical safeguards required under HIPAA. Using these services to store, process, and transmit PHI allows our customers and AWS to address the HIPAA requirements applicable to the AWS utility-based operating model.

whitePaper | June 14, 2022

In a digital-first world, every organization needs a data management plan. Yet, fewer than 25% of nonprofits report having a plan in place. This means data is infrequently shared across departments and rarely used to make decisions or predict future stakeholder behaviors. A data management plan is fundamental to make an impact and an attainable goal regardless of organization sizeor technological capacity. An effective data management plan takes into account your mission, staffing, time, budget, goals, existing technology, and more.

whitePaper | December 21, 2022

The evolution of cloud-based technology is continuing to reshape the data management landscape. As data volumes increase, users in different industries are demanding flexible, scalable processes that enable them to leverage a wider variety of sources, uncover new insights and confidently make decisions that will drive their businesses forward.

whitePaper | June 27, 2023

Data mesh is an innovative approach to data management that offers a solution to the most common challenges organizations face when dealing with large-scale data management. Data mesh concept consists of four key principles for large-scale data management in a multi-tiered, multi-domain organizational structure: domainoriented ownership, data as product, federated computational governance and a self-service data platform. These all promote a more agile, efficient and scalable data architecture. However, one of the central challenges to implementing data mesh is designing decentralized governance mechanisms that align with its core principles.

whitePaper | October 20, 2022

Over the past two years, security has emerged as the most important aspect of data management. Data volumes are increasing at a 23% CAGR, according to IDC. Digital transformation means that organizations across all industries have become tech companies tasked with managing massive, sprawling data sources.