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Top 3 benefits of Enterprise centric data management
Within complex markets managing data is crucial to remain competitive and generate revenue. In particular when third-party data is required to identify opportunities and threats to the price of any asset or the frequency of its purchase. Early detection of a change in value is inextricably linked to effectively managing the growing volume of complex…
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 MoreTop 7 guiding principles for anomaly detection systems
Anomaly Detection Systems are built to identify and measure the root cause of error, abuse, fraud and waste. Anomaly detection also referred to as outlier or novelty detection, identifies events or observations that deviate significantly from the expected result, or a majority of the data, or do not conform to a well-defined notion of normal…
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
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,…
Read MoreMulti-document summarization: how to extract full value from your ‘hidden’ data
Read the article below or download the PDF version here. Continuous research and development underpin all of RoZetta Technology’s operations. From postgraduate trainees to leading scientists, they are actively involved in pushing the boundaries of data science and technological excellence – to the ultimate benefit of its customers and partners. One highly significant area of…
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