Consumer data and the digital economy — summary report

whitePaper | March 30, 2022

Inching a step closer to framing a robust data protection regulation for India, the Joint Parliamentary Committee (“Committee”) submitted its report to the Parliament of India on the Personal Data Protection Bill 2019 (“2019 Bill”) on 16 December 20211 , after deliberatingfor almost two years. With that, the Committee also presented a revised bill, i.e., the Data Protection Bill 2021 (“2021 Bill”). Although presently there is no dedicated legislation in India addressing data privacy and data protection, on a sector-neutral basis, the Information Technology Act 2000 (“IT Act”) and the Information Technology (Reasonable security practices and procedures and sensitive personal data or information) Rules 2011 (“SPDI Rules”) regulate aspects of data privacy and protection in India today.

whitePaper | August 18, 2022

What Oracle EBS does not offer is a high-performance, quick-to-implement analytics solution that seamlessly combines data from multiple sources in an instant. Many EBS customers are stuck using multiple legacy tools and high-cost professionals to generate even the simplest reports, and are unable to modernize and migrate to more cost-effective platforms. But the demand for faster, easier, and near-instant reporting and analytics have dramatically increased over the past decade, placing tremendous pressure on CFOs, CEOs, and IT leaders.

whitePaper | September 23, 2022

For Intel’s complex factory environments, quickly identifying tools that are operating below their optimal capacity and finding the root cause is crucial for maximizing production output. With thousands of tools involved in production and each manufacturing tool running from one to 50 operations, there are tens of thousands of tools and operations to monitor, analyze and adjust. Knowing where to focus engineering efforts is a monumental challenge.

whitePaper | December 30, 2022

This white paper details Dell CloudIQ, the cloud-based AIOps proactive monitoring and predictive analytics application for Dell systems. It describes how it uses machine learning and other algorithms, notifications, and recommendations to help you optimize compute, storage, hypercoverged infrastructure, data protection, and network health, performance, and capacity.

whitePaper | December 1, 2022

IT and business leaders are increasingly seeking to harness the valuable data they collect every day to transform their business operations. Yet, these data assets are only as valuable as their organization’s ability to securely access and convert siloed information into scalable enterprise-wide insights. Even though every modern enterprise generates a goldmine of data, many lack the necessary infrastructure to mitigate data privacy and security concerns enough to fully leverage that data for informed decision-making and maximum impact.

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.