Big Data

Analysed Data Defines Results

Big Data refers to large complex data that is difficult or impossible to process using legacy methodologies. It is not the amount of data that is important, Its what organisations do with the analysed data to obtain derived results. Big data can be analysed to understand discrete decision making  and strategically progressive business moves.

How We Can Help You?

Predictive analytics is the key to fully understand and identify how products are made. With Big Data we make sure to reduce cost, time, smart decision making and help you to find answers to problem statements. We combine Big Data with high powered analytics to determine root cause of failures, issues, and defects in real time environments.

Know Our Services

With Big Data we make sure to reduce cost, time, smart decision making, and help you to find answers to problem statements. We combine Big Data with high-powered analytics to determine the root cause of failures, issues, and defects in real-time environments.

Data Integration

Data integration is the process of integrating data from different sources into a single consolidated view. In simple terms, typical data integration involves master server pulling data on the master server in unusable format. One of the most common business applications of data integration is a data warehouse.

Data Warehousing

Data warehousing is a process of constructing integrated data from multiple heterogeneous sources that supports analytical reporting, structured ad-hoc queries and decision making. Data warehouse maintains a copy of information from source transaction systems. This architectural complexity provides the opportunity to integrate, migrate, maintain data history, improve data quality and provide a singe common data model.

Data Security

Data Security is an integral part of protecting digital data, such as those in a data warehouse. Data Security can be applied using various techniques and technologies, including administrative controls, physical security, logical controls and other safeguarding techniques that limit access to unauthorised or malicious users or processes.

What we do ?

We follow the three V’s process of Big Data i.e Volume, Variety and Velocity that is collected form various sources. Volume is the most cited characteristics of Big Data. Clickstream produces massive volume of Big Data on an continued basis. Big Data also comprises of a wide variety of data types including structured data in databases based on SQL, unstructured data such as texts and document files in Hadoop clusters and semi structured data web server logs or streaming data from sensors.

Velocity refers to the speed at which the data  is generated and must be processed and analysed. Big Data analytics applications correlate and analyse incoming data then render an output based on an overarching. This means our data scientists will have a detailed understanding of the available data possess what answers they are looking for to ensure the information they get is valid.

To improve service levels we offer Big Data capabilities through managed services like Hadoop Distributed File Systems and low cost cloud object storage as simple storage services. 

Impacting Industries

Sayvy_finance

Financial Services

Sayvy_Digital_marketing

Digital Marketing

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Aerospace

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Mining

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Who We've Partnered With

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