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Everything From Data Tips and NoSQL Best Practices to Industry Specific Insights

December 14, 2022
SAN CARLOS, CA – December 15, 2022 – MarkLogic Corporation, a leader in complex data and metadata management and portfolio company of Vector Capital, today announced new features delivered in MarkLogic 11, the latest release of its flagship MarkLogic Server product, that further enhance MarkLogic as a unified data platform with analytics, simplified deployment, management, […]
 
投資判断改善のため、データ管理に投資する 金融サービス企業が増加 - 世界の100社以上を調査したレポートを発表
 
Coverage generated following the release of the MarkLogic/Water Technology financial services report.
 
Nearly two-thirds of financial services firms struggle to store, access and share data, and more than half are considering single data hubs to enhance their ability to make data-driven investment and business decisions, indicates research released today by Waters Technology.
 
MarkLogic partnered with Waters Technology to survey 104 investment practitioners and IT staff at investment banks. They uncovered that a majority of capital market firms struggle to leverage research data for insights that empower better decision-making and that research data was stored in too many disparate systems or locations across the enterprise.
 
Coverage generated following the release of the Marklogic/Water Technology financial services report.
 
Coverage generated following the release of the Marklogic/Water Technology financial services report.
 
In this guest article, Giles Nelson, CTO Financial Services, explores why financial services firms must take a more strategic, data-driven approach to regulation compliance, in order to advance the industry.
 
Giles Nelson, CTO of Financial Services, shares his opinion on how financial institutions are managing innovation, suggesting that fintech companies are the future of banking and will provide a simpler and more cost-effective way to manage finances.
 
Giles Nelson, CTO, Financial Services, recently sat on a panel with other fintech experts to discuss the current models used by capital market firms to effectively manage R&D investment research and address operational inefficiencies.