Posts Tagged ‘SaaS’
FCA Wholesale Data Market Study
Read the article below or download the PDF version here. Cost, coverage and quality remain the primary concerns for wholesale market data users when selecting market data vendors. The financial markets heavily rely on accurate and timely market data to drive investment decisions, risk management, and regulatory compliance. However, the UK Financial Conduct Authority…
Read MoreUnlocking Growth: Navigating the landscape of SaaS data management platforms
Read the article below or download the PDF version here. Overview In the rapidly evolving landscape of data management, Software as a Service (SaaS) has emerged as a game-changer, offering organizations unparalleled advantages in terms of efficiency, scalability, and cost-effectiveness. SaaS platforms are established and well known for existing lighter-touch use cases like CRM, supply…
Read MoreHow an Enterprise centric approach to data drives productivity
Read the article below or download the PDF version here. Background In complex markets, managing data is increasingly a differentiator in growing and maintaining revenues and profit margins. Particularly where third-party data is critical in identifying opportunities and threats to the price of any asset or the frequency of its purchase. In capital markets, detecting…
Read MoreStrategic Partnerships – growth drivers for revenue and productivity from Advisory Board member Emmanuel Doe
Read the article below or download the PDF version here. Interview with Emmanuel Doe, Advisory Board Member by David Myton Introduction This is the third in a series of interviews that leading journalist and author David Myton conducted to drill down on how companies in capital markets are coping in the current global environment. The…
Read More“The key to decision agility in volatile times is built on enterprise data management” – Industry leader, Dale Richards
Read the article below or download the PDF version here. Interview with Dale Richards, Advisory Board Member by David Myton Introduction David Myton, a respected journalist, author, and editor, continues exploring what it takes to survive and grow in an increasingly volatile environment in capital markets. This interview takes a strategic view of the market…
Read MoreOptimising the total cost of ownerships of market data, a grassroots perspective
Read the article below or download the PDF version here. Introduction Welcome to the first of a series of discussions conducted by David Myton with a range of data experts within capital markets. Capital markets are a data-intensive sector, and success correlates directly with the breadth and depth of data used in specific decision-making processes…
Read MoreHow to keep your data lake “match fit”
Read the article below or download the PDF version here. Problem statement An Australian energy resources company engaged RoZetta to lead a review and redevelopment of its data lake. The data lake has grown exponentially over recent years with the introduction of new data sources and an increasing emphasis on using data scientists to provide insights…
Read MoreRoZetta joins big tech at top NLP global conference in Ireland
![Article Header - Jacob Interview ACL [6.5x3.5]](https://www.rozettatechnology.com/wp-content/uploads/2022/06/Article-Header-Jacob-Interview-ACL-6.5x3.5-1024x551.png)
Read the article below or download the PDF version here. The auditorium was packed with international Big Tech experts – representing business, industry and research. Jacob Parnell, the 26-year-old postgrad from the northwest suburbs of Sydney was revealing new insights relevant to the esoteric world of Natural Language Processing (NLP) – the core of his…
Read MoreHow to build an integrity monitoring platform to minimise fraud, error and waste within a complex market?
RoZetta Technology is a specialist data science technology company using advanced analytics and cloud-based data management to provide a foundation to optimise value creation for its clients. Anomaly detection is just one of the methodologies the RoZetta data science team employs to fulfil the value creation goals. This paper has been prepared by: Phil Anderson,…
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