Unlocking Your Financial Data with User-Driven BI

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 25, 2022

The new PowerMax 2500 and 8500 storage systems with PowerMaxOS 10 feature some of the most advanced performance, data protection, data reduction, and data mobility servicing enterprise workloads and applications. The new PowerMax systems come with large DRAM for user data and persistent memory for metadata, end-to-end NVMe, 100 Gbit RDMA fabric, real-time machine learning, 64-bit native file services, seamless cloud mobility, and ability to deliver millions of IOPS at submillisecond latency.

whitePaper | April 18, 2023

The MIT Future of Data Initiative is leading a multi-disciplinary research agenda to design and stimulate the deployment of consumer-empowering and accountable systems to provide trusted, traceable uses of personal data on an ecosystem-wide scale. The Initiative has gathered together computer science and Internet policy researchers as well as leading commercial enterprises in financial services, payment technology, cloud platforms, insurance and other sectors to discuss current challenges and opportunities in privacy and data governance. Today’s modern privacy laws place appropriately high expectations on organizations processing personal data. At the same time, consumers report declining trust in those who handle their personal data and regulators around the world struggle with the scale of the enforcement challenge. We aim to identify and put into service technical infrastructure for enterprises seeking to handle personal data in a trustworthy and lawful manner with guardrails to enable the traceable, accountable, and scalable use of data.

whitePaper | August 31, 2022

The rise of Big Data and Data Analytics provides great opportunities for organizations to realize new ways of doing business and will give a significant increase in added value. Organizations that do not ‘catch the Big Data Analytics train’ run the risk of falling behind. According to the European Commission1 the value of European citizens’ personal data has the potential to grow to nearly € 1 trillion a year by 2020.

whitePaper | April 1, 2021

Metadata is more important now than ever. New technologies have enabled businesspeople who have traditionally not been analysts to work with data. The consumerization of IT means people expect systems to be intuitive and require little training. With so many people using data to support so many kinds of decisions, it’s critical that your data is described, defined, and understood.

whitePaper | April 7, 2021

Assembling the perfect data stack is impossible. But for most data teams, the path to leveraging rapidly evolving tech and best-in-class tools is even more difficult when it’s impeded by the pitfalls of monolithic legacy applications.