Analytics & Big Data

BRYTECH offers strong visualizations and analytical tools to extract, prepare and blend your information from big data. Regardless of the data source, analytic requirement or deployment environment, BRYTECH’s solution allows you to turn big data into big insights, and analytics that will change the way you run your business.


Analytics & Big Data

Big data analytics is the use of advanced analytic techniques against very large, diverse data sets that include structured, semi-structured and unstructured data, from different sources, and in different sizes from terabytes to zettabytes.
Big data is a term applied to data sets whose size or type is beyond the ability of traditional relational databases to capture, manage and process the data with low latency. Big data has one or more of the following characteristics: high volume, high velocity or high variety.

Artificial intelligence (AI), mobile, social and the Internet of Things (IoT) are driving data complexity through new forms and sources of data. For example, big data comes from sensors, devices, video/audio, networks, log files, transactional applications, web, and social media — much of it generated in real time and at a very large scale.

Analysis of big data allows analysts, researchers and business users to make better and faster decisions using data that was previously inaccessible or unusable. Businesses can use advanced analytics techniques such as text analytics, machine learning, predictive analytics, data mining, statistics and natural language processing to gain new insights from previously untapped data sources independently or together with existing enterprise data.

BRYTECH can show you how to unlock real business value using big data analytics.


Interactive visual analysis with drill through, lasso filtering, zooming, and attribute highlighting for greater insight.


Out-of-the box library of interactive visualizations — including geo-mapping, heat grids and scatter/bubble charts.


Specialized, visualization plug-ins deliver “the art of the possible” for advanced visualizations.


Extreme scale in-memory data caching for speed-of-thought analysis of large data volumes.


True mobile experience with support for native gestures and complete analytics capabilities, including content creation.


What is a Analytics and Big Data?

Big data analytics helps organizations harness their data and use it to identify new opportunities. That, in turn, leads to smarter business moves, more efficient operations, higher profits and happier customers.

Until the era of big data, gaining a 360-degree view of your business through data analysis was a challenge. The solution would generally involve significant spending on powerful data warehouses and relational database management systems, which led to painstaking data preparation in order to answer predetermined questions.

Now, with a massive increase in data volumes and sources, new storage mechanisms and analytical options have emerged, including Hadoop and Blockchain.

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