Big data: A transfer pricing perspective

whitePaper | December 22, 2022

We live in a digital world in which data analytics and artificial intelligence significantly impact our daily lives. They influence what we wear, what we eat, where we travel, and how we spend our free time. In medicine the impact of data has much more drastic effects, as access to high-quality medical data is a matter of life or death for patients every day. In this particular area, the desire to save human life by discovering modern methods of therapy and diagnostics often contradicts another fundamental right of the patient - the right to privacy and the right to dispose of one’s data.

whitePaper | November 23, 2022

Artificial intelligence (AI) and machine learning (ML), along with data analytics, are widely seen as a way to tackle everything from daily inefficiencies and low productivity, to advancing healthcare and climate change mitigation. As more organisations look to leverage their data more effectively, demand for people with data capabilities is only going to grow

whitePaper | August 25, 2022

As they seek an edge in their trading and investment activities, hedge funds and other sophisticated trading firms are looking to harness new sources of insight that can allow them to identify and exploit emerging market and industry opportunities. But many organizations are saddled with a disconnected sprawl of legacy systems that are unable to handle the demands of today’s fast and often volatile markets.

whitePaper | August 1, 2022

The Graph database is fundamental to driving a much-needed breakthrough in the world of Master Data Management (MDM). Until now, traditional MDM systems have imposed strict rules and structures on how these projects are managed. This has cost enterprises dearly in terms of wasted time and resources and has been a major contributory factor to the failure of many MDM initiatives. Graph has changed all of that, allowing modern MDM platforms to completely redefine how master data is prepared for insight and used to deliver tangible business outcomes.

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 | August 10, 2022

Connected Data, though used synonymously with Big Data, is carefully created and curated for storage and reference during the customer’s lifetime. As we already know, enterprises need to carefully build and store Big Data to avoid creating a data swamp. Connected Data goes a step ahead of Big Data. It is customer-specific data built in a context-sensitive framework to ensure a 360-degree view of the customer profile, purchasing habits, preferences, etc., at a glance.