Data Engineering

The data tsunami

The term Big Data is a buzzword now-a-days which has no specific formats and defies traditional storage systems. The data can be structured, semi-structured or unstructured and generated faster than ever. For example, information post over social media, video upload in YouTube etc. Machine generated data like data recorded from sensor and logs are also becoming part of big data having more magnitude then human generated data.


Big Data Facts and Figures

Though Apache Hadoop is a popular framework for distributed storage and batch-processing engine, other tools/frameworks are also necessary to support the entire ecosystem and data processing cycle. All major industries including Telecom, Oil & natural, Pharmaceuticals and many others have  started using big data processing/analysis using Hadoop and it’s ecosystem for intricate analysis of data across all the dimension for future strategic decision.

Transforming the data

Leverage Irisidea’s technical expertise for your voyage to Big Data processing and analyzing boundary-less Data Ocean. We can be hand-holding, solution provider, assist on decision making on adoption of various open source frameworks, tools etc those will be needed on different phases of big data processing life cycle.

-We offer platforms and solutions those are intuitive, intelligent and easy-to-use for non technical business leaders to make sense of data
-We help data driven enterprises, to take cost, time, coding, and demand for technical skills out of their data initiatives.

– Data Ingestion, Data quality, Data-in-Error
– Digital Data Transportation.
– Data Lake, Digital Data Storage
– Distributed, Parallel processing
– Domain specific analytical solution
– Executive Dashboards and actionable insights

Distributed incubator

The process of persisting data in various format is an integral part of any business….

read more

Data absorption

One of the most critical part of big data analytics, Data Absorption or Ingestion is the process of moving huge volume of heterogeneous business data from multiple data-sources.

360° visualization

Due to exponential growth of data resulted from digitization, the businesses are already facing challenges in terms of performance and capacity…

read more

Data security

Traditional security mechanisms are fragile when applied on huge volume of data. Data generation is a continues process for organizations…

read more

Our data services


We help organizations to realize business growth and lower cost, besides increasing competitiveness, customer acquisition, and retention with data-driven decisions.

  • Strategy and Roadmap
  • Execution blueprints, Dashboards and KPIs
  • Tool, Technology, and Architecture
  • Benefits realization

Data governance

We advise organizations to define and implement data governance strategy, policies and frameworks to meet your changing business needs.

  • Strategy and Business alignment
  • Industry Regulation and Compliance
  • Governance Maturity Model
  • Hand-holding and Change Management
  • Tools, Technologies, and Frameworks
  • Training for Data Stewards, Data Owners, and Data Scientists

Data science & analytics

We help you discover business actionable insights from your data with right speed and agility

  • Implementation Services
  • Dashboards and Visualizations
  • Industry-specific Compliance & Operational reporting
  • Operational maintenance & support`


Analytics-as-a-service is uniquely prepared for organizations and business leaders, who want to stay ahead of the competition in addressing fast shifting dynamics of customers and markets.

The service is tailored to your needs and is provided to your organization without your investments in licenses, teams, skills, and infrastructure. We encourage our clients to own the data storage; although we do offer the management services as part of the package.

We have invested in tools, technologies, and expertise to bring required analytics on-demand and in a timely manner.

Unlike other players in the space with similar offerings, our platforms give us the confidence to offer you agility and changes in your demand without increased costs and time


The box contains

  • Industry standard dashboards
  • Associated KPIs
  • Data models
  • Facilities to fetch data from your data sources and populate in built in DW and Data Marts
  • Built-in and configurable required transformation
  • Industry specific and data set specific quality and compliance check

Typically you can start receiving the insights in your data within 48-72 hours.

Contact us for your specific needs and we will be happy to deliver your box.

Our experience with big data

Text data analysis/mining

Server Logs, docs, CSV, Emails, Blogs, Social Media

Streaming data analysis

Social Media Streaming Data Analysis to Improve an Ecommerce company sales. Weather Data Streaming

Data cleaning and refining

Data Cleaning and Refining for accurate analysis

Behaviour pattern analysis

Behaviour Pattern Analysis for telecom companies

Data ingestion & transportation

Ingesting and accumulating the huge volume of enterprise data from multiple data source to a single destination

Social sentiment analysis

Social media Sentiment Analysis for promotion/offer/discount

Value delivered

Improved product campaigns

By knowing the products trends, it was easy to strategies campaigns and offers.

Improved customer retention

By knowing customer’s sentiments and behavior, business was able to improve the customer base and retention.

Increased revenue

Helped business changing strategy to increase revenue on multi-channel commerce by analyzing products reviews from their customers.

Better diagnostic accuracy

Helped hospital hiring right health experts, expanding their reach and order specific medicines, using disease trend analysis which is crucial in epidemics.

Strategical decision making

Based on the dashboard and charts, decision making made easy for the management.

Increased sales

Analysed and predicted customers’ buying pattern for eCommerce company to improve the sales.

Optimal costing

Optimized cost for spare-parts by doing historical data analysis.

Increased self-service

Increased self service by empowering users with harmonized data and drilled down analytics.

Research papers & publications

Effective image analysis on twitter streaming using Hadoop eco system on Amazon web service EC2

Facebook data extraction using R & data processing in data lake

Analyze the huge application log files using HADOOP cluster on IBM cloud platform

Case studies

Building society company model underwriting

Credit recovery agents interaction analysis

Behavioral mining