As a Senior Analyst for the Data Platform and Analytics team, Krishna Roy is responsible for the coverage of self-service analytics, predictive analytics and performance management.
Prior to joining 451 Research, Krishna held a number of positions as a journalist in London and the US, including several years writing for Computergram International. She was also an Assistant Editor at the monthly magazine IBM System User, which focused on IBM software and hardware. In addition, Krishna spent three years covering M&A activity throughout Silicon Valley and was a founder of M&A Impact, a newsletter highlighting M&A activity in the software industry.
Krishna holds a 1st Class Honors Degree in English Literature and American Studies.
The startup is looking to take its business to the next level in the wake of landing its third infusion of venture capital and giving its offering – often described as a GitHub for data science – its first makeover.
DataRobot's pickup of Nutonian in May is the latest pairing to occur in the machine-learning analytics sector, which has been consolidating since last year, and is set for further M&A activity. In this report, we explore the likely acquirers and targets.
The startup has spread its wings beyond an initial focus on providing native analytics for Hadoop and is now casting itself as a purveyor of one semantic layer for any BI tool.
In the early days of its life, the machine-learning advanced analytics vendor focused on insurance companies. Yottamine Analytics is now doubling down on the financial services sector by unleashing a cloud service designed to predict the outcomes of investment strategies.
The startup has been in semi-stealth mode, but, armed with its first major institutional financing, it's now investing in sales, marketing and product development in order to take its native NoSQL reporting and visualization business to the next level.
The ability for systems to make decisions, not just predictions, is at the heart of prescriptive analytics. While often regarded as the final analytics frontier, with multiple benefits to bring to organizations implementing it, rolling out prescriptive analytics can come with some challenges.
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