Everlytics Data Science
HQ Location
Singapore
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Year Founded
2009
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Company Type
Private
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Revenue
< $10m
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Employees
11 - 50
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Website
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A team of responsive and collaborative individuals with strong background in Data Science. Clients engage Everlytics to architect and develop solutions that have Big Data and/or Machine Learning as differentiating components. Everlytics has the required competency to manage challenges in collating data from disparate sources and build a scalable analytics platform.
Predictive Analytics for Everyone Everlytics simplifies statistical modelling and predictive sciences by handling the intricacies and providing their clients complete directional control over the solution. Through years of collective experience, Everlytics can translate business problems into analytics-enabled solutions by arriving at the optimal design and approach to the problem, choosing the right modelling techniques and keeping the end solution highly relevant and actionable. Machine Learning on Big Data Building a Big Data ecosystem is not only creating a system where terabytes of data can be stored and queried in seconds. It also involves using that processing power to build innovative Machine Learning solutions to predict future outcomes. All big data tools offer libraries to do Machine Learning tasks. Everlytics is an expert in using such tools, as well as improvising them and building new algorithms, Big Data Backends Companies adopt Big Data not because they want to but they have to as traditional systems cannot handle the processing speeds and volumes that Big Data tools can. Our clients rely on us for architecting and implementing their Big Data platforms. A typical engagement starts with consulting on the appropriate tech stack. For example, • Which MPP backend is suitable for storing and querying millisecond level financial ticker data? • The right storage and query engine (OLTP & OLAP) for big data graphs? • Index and search terabytes of textual data in subseconds. Etc.
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Devices Layer
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Edge Layer
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Cloud Layer
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Application Layer
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Supporting Technologies
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