Volume. Variety. Velocity. Veracity.

Our Services

From understanding your data to security of your data

BIG DATA SERVICES

Deriving valuable and actionable insights from data using effective analytical processes, workflows and data mining methodologies to increase operational efficiency and business value to maximize revenue.

data analytics

Data Analytics is the process of inspecting, cleaning, transforming and modelling data with multiple facets and approaches, encompassing diverse techniques in different business, science and social science domains.

MANAGED SERVICES

Managed services is the practice of outsourcing day-to-day management responsibilities and functions to IT experts such as dbNix Systems as a strategic method for improving operations and reducing costs.

TAB CARE SERVICES

TAB Care Services facilitates systematization, inventory management and onsite support of Tablet devices across India with cost effective solutions specific to each Customer’s requirements.

Why Big data

Facts and Figures of Big Data
Data Statistics
that cannot be ignored

The data volumes are exploding, more data has been created in the past two years than in the entire previous history of the human race. Our accumulated digital universe of data will grow from 4.4 zettabyets today to around 44 zettabytes, or 44 trillion gigabytes.

Data is growing faster than ever before and by the year 2020, about 1.7 megabytes of new information will be created every second for every human being on the planet.

Within five years there will be over 50 billion smart connected devices in the world, all developed to collect, analyze and share data.

At the moment less than 0.5% of all data is ever analysed and used.

  • Compound annual growth rate of Hadoop market to surpass $1 billion by 2020

  • Increase in data accessibility will result in more than $65 million additional net income, for a typical Fortune 1000 company

  • Increase in operating margins of Retailers who leverage the full power of Big Data

  • Organizations have already invested or plan to invest in Big Data by end of 2016

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