Big Data

Analytics Consulting

Big Data & Analytics Consulting

From Data To Insights Analytics & Visualizations

Think Big. Think data Infrastructure & Applications

From Data To Insights Analytics & Visualizations

Think Big. Think data Infrastructure & Applications

From Data To Insights Analytics & Visualizations

From Data To Insights Analytics & Visualizations

Think Big. Think data Infrastructure & Applications

From Data To Insights Analytics & Visualizations

Think Big. Think data Infrastructure & Applications

From Data To Insights Analytics & Visualizations


Skill, Scale & Speed - Our approach to delivering solutions


Who we are?

Fragma Data Systems is a Big Data Analytics solutions provider for companies across all the major industries, helping them to transform their data into insights. We are a company based out of Bangalore and led by a team of passionate data architects and domain experts with combined industry experience of over 50 years. Our Data Infrastructure & Big Data Tech Stack solutions help technology teams to address the constraint of managing the explosion of data generated from various sources of structured, semi structured and unstructured data which has to be stored, cleansed and made highly available for computations to enable the business teams derive Insights from data. Our Data Analytics solutions coupled with dashboards and visualizations help business teams build strategies to increase their top lines or improve efficiency leading to expansion of profit margins by exploring new patterns identified in the vast data sources of the companies

What we do?

Fragma Data Systems wants to be a valuable partner with business and IT by providing: big data analytics, powerful yet easy to use visualizations and insightful analysis of data enabling informed decision support. We are dedicated and committed to provide business value from data to our clients. Our success relies entirely on the synergy between our three pillars — our Clients, our Team and our Partners. Our mission is simple, enabling businesses in decision making and achieving operational excellence.


Varun Kumar Reddy B

Raja Reddy Karri

Yasaswi Kola

Satya Dev Areti
Senior Consultant

Shivaraj Anavar

Vishesh Singh

Pranshu Vashist

Deepak Rapolu

Chandan Kumar V

Manish Babu

Sachin Modeel
SVP - Data Science & Analytics

Client Testimonial

“Fragma quickly delivered a big data solution from our requirements and data. They provided us end to end importing of our data through to visualisation.”

Peter Deed

Nimbus Journey Information




Building Data Lakes

A data lake is a massive, easily accessible, centralized repository of large volumes of structured and unstructured data. Also a data lake is a storage repository that holds a vast amount of raw data in its native format until it is needed.

Data Management

Data Management is a administrative process by which the required data is acquired, validated, stored, protected, and processed, and by which its accessibility, reliability, and timeliness is ensured to satisfy the needs of the data users.

Large Scale ETL

ETL (Extract, Transform and Load) is a process in data warehousing responsible for pulling data out of the source systems and placing it into a data warehouse. Extracting the data from source systems (SAP, ERP, other oprational systems), data from different source systems. Transforming the data may involve: cleaning, filtering, splitting, joining data together etc. Loading the data into a data warehouse for reporting applications.

Data Pipelines

Data Pipeline is a service used to automate the movement and transformation of data. In computing, a pipeline is a set of data processing elements connected in series, where the output of one element is the input of the next one. The elements of a pipeline are often executed in parallel.


Recommendation Engines

A recommendation engine is a software that analyzes available data to make suggestions for something that a website user might be interested in, such as a book, a video or a job, among other possibilities. Recommendation engines are common among e-commerce, social media and content-based websites.

Predictive Analytics

Predictive analytics is the practice of extracting information from existing data sets in order to determine patterns and predict future outcomes and trends. Predictive analytics does not tell you what will happen in the future. It forecasts what might happen in the future with an acceptable level of reliability.

Customer Analytics

Customer analytics, also called customer data analytics, is the systematic examination of a company’s customer information to identify, attract and retain the most profitable customers depending on their browsing and buying patterns, credit card transaction patterns and online transations.

Risk Analytics

Risk analysis is the study of the underlying uncertainty of a given course of action. Risk analysis refers to the uncertainty of forecasted future cash flows streams, statistical analysis to determine the probability of a project’s success or failure, variance of portfolio/stock returns, and possible future economic states. Risk analysts often work in tandem with forecasting professionals to minimize future negative unforseen effects.

Financial Insights

Financial analytics also know as Financial Insights is the creation of ad hoc analysis to answer specific business questions and forecast possible future financial scenarios. Financial analysis software can speed up the creation of reports and present the data in an executive dashboard, a graphical presentation that is easier to read and interpret


Alerts & Notifications

Data-driven alerting and email notifications by using tools that would notify one on a data high or a data low.

Social Media Campaign Analysis

A socialmediacampaign is a coordinated marketing effort to reinforce or assist with a business goal using one or more social media platforms. Campaigns differ from everyday social media efforts because of their increased focus, targeting, and measurability

Fraud Detection

Fraud detection protects customer and enterprise information, assets, accounts and transactions through the real-time, near-real-time or batch analysis of activities. It uses background server-based processes that examine users’ and other defined entities’ access and behavior patterns, and typically compares this information to a profile of what’s expected.


Real Time Dashboards

A dashboard is an easy to read, often single page, real-time user interface, showing a graphical presentation of the current status and historical trends of an organization’s or computer appliances key performance indicators to enable instantaneous and informed decisions.

Interactive Reports

Interactive Reporting is a leading Business Intelligence solution for top to bottom analysis, query and reporting of all your business information. Many organizations fail to realize the true power and value of their existing business data. By optimizing this data and putting it in a familiar and intuitive format for the end user, Interactive Reporting provides a web browser interface in which users can access their organization’s information at their fingertips.

Mobile Visualizations

Your mobile apps run on data and to mobilize key enterprise business processes mobile data visualization tools are required which make it easy for the development teams manage rich, visual representations of enterprise data sources, while providing a simple model for consuming those visualizations from enterprise mobile apps.

Geo Visualizations

Geovisualization refers to a set of tools and techniques supporting the analysis of geospatial data through the use of interactive visualization. Geovisualization can be described as a domain that addresses the visual exploration, analysis, synthesis and presentation of geospatial data by integrating approaches from cartography with those from other information representation and analysis disciplines, including scientific visualization,image analysis, information visualization, exploratory data analysis


Senior Big Data Developer

  • R&D on performance analysis of different components in Big Data Stack.
  • Should have Strong OOPs concepts (Preference Java) and data structure concepts.
  • Hands on experience and knowledge about Hadoop concepts.
  • Knowing Python would be an added advantage to be considered for Machine Learning projects.
  • Existing certifications from Mapr, Cloudera, MS Azure, Hortonworks would be a big plus point
  • Functional Area: IT Software - Application Programming, Maintenance

    Role Category: Programming & Design

    Role: Software Developer

    Skills:Java, Hadoop, HDFS, sqoop, flume, Data Structures, spark, cloudera, mapr

    Experience:2-4 years

    Intern Developer - Big Data (Full Time)

    The selected individuals will be implementing big data components in order to enhance the tech stack.

    • R&D on performance analysis of a different component in big data Stack and write white papers on the findings.
    • Strong OOPs concepts and data structure concepts would be useful.
    • Hands on experience and knowledge about Hadoop concepts would be giving an edge.
    • Coding skills would be tested for the candidates applying for the Role.
    • Salary: Freshers - 4 months with Stipend

      Functional Area:IT Software - Application Programming, Maintenance

      Role Category:Programming & Design

      Role: Software Developer

      Keywords:Hadoop, HDFS, sqoop, flume, java, Data Structures, spark, algorithms

      Intern Marketing (Full Time)

      The selected intern(s) will work on following during the internship:

      • Developing and updating the websites
      • Developing & updating the social media pages of the company
      • Helping the Sales team in their marketing research with lead generation.
      • Ideal candidates for the role should be comfortable in web designing skills, Graphic design skills or image editing with Photoshop or illustrator etc would be added advantage.
      • Should have knowledge in managing the social media profiles of the company and provide ideas for updating them for successful inbound marketing.
      • Degree(s): Applicants pursuing any degree but having relevant skills and interest may apply.

        Year of degree completion:Applicants currently in any year of study or recent graduates but having relevant skills and interest may apply.

        Only applicants who are available full time for a minimum duration of 4 month(s) can apply.

        Salary: Freshers - 4 months with Stipend

        If you are interested in joining,please submit your CV, specifying the role or area in which you wish to work to the following address: