Data is the foundation of all our knowledge and of our ability to Do anything. It is how we innovate, explore and ultimately create a better
envdata is a specialist company that focuses on helping you to gain insights and create value through usage of Big Data, NoSQL and advanced analytics
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Big Data processing is different
Big data processing and management involves a new and much wider and varied set of needs, practices and technologies.
envdata offers solutions for organizations seeking to derive true value from combining their own and freely available data from governments, scientific bodies and commercial aggregators. We help you to adopt key elements such as Hadoop and its eco-system, NoSQL, advanced analytics and Machine Learning practices.
Big Data technologies such as Hadoop and NoSQL integrate easily into existing enterprise architectures. At the same time they deliver unprecedented capabilities in terms of Advanced analytics, unstructured data management and cost effective web-scale data management and processing.
Envision, Visualise and Realise
hidden value in your big data
Sports Solutions
Sport at the elite level has always adopted new technologies to capture data from players during play and training in order to better understand their performance and their team’s results. This large amount of data in sports is making big data sports analytics very important.
Sentiment Analysis is becoming a key insight into any organisation's effectiveness and ability to execute its business strategy. It answers key questions such as: who is talking about us? What are they saying? How are they responding to our approach?
Our world generates a staggering quantity of data and Government activity is no exception. Big data refers to these huge datasets. Big data analytics refers to the process of seeking insights by combining and analysing these datasets.
Modern buildings are being equipped with very large number of sensors that can monitor every single aspect of building and its environmental operations. These devices offer real-time data gathering that can be used to optimise costs and comfort.
This involves
solutions
around people count, foot
traffic, demographics analysis,
VIP Recognition, layout
efficiency, POS Data Analysis
and Sales Vs Dummy Data.
This involves Big Data Technology Strategy Definition, Big Data Technology Use case Identification, Big Data Infrastructure Set-up and Management, Application Development and Maintenance
We face volumes of data too large to work well or fit in traditional RDBMSs or DW systems To deal with this deluge of largely unstructured data we have the emergence of new data management systems under the confrontational tag of NoSQL.
Business analytics spans a broad range of capabilities from focus on past performance, to forward-looking approaches such as scenario planning and predictive modelling that help you prepare for the future.
