"We are Data Analysts, Data Science and Data Domain Experts with Innovative, Data-driven solutions to provide Business Value".
Consulting – Big Data and Traditional
- Quality Assurance
- Data Warehouse Augmentation
- Back up and Recovery
- Archival system
- Proof of Concept / Proof of Value
- Data Science and Analytics
- Data Discovery
- Hortonworks – Hadoop
- Cloudera – Hadoop
- MapR - Hadoop
- Big Data Technology
- SQL Server
Technical Best Practices
Some use cases of big data across industry sectors:
Financial and Insurance Services:
- Early-warning fraud detection systems
- Identity threat management
- Claims fraud monitoring
- Physician interaction optimization
- Proactive manufacturing surveillance
- Next-generation genetic sequencing
- Real-world evidence
- Translational sciences and imaging
- Cross-channel analytics
- Campaign optimization
- fraud detection
- Predictive Maintenance
- Vehicle Telematics
- Medical Device Monitoring
Who We Are
TEAM OF EXPERTS WITH:
- Demonstrated abilities in devising data strategies and accelerating the business growth.
- Proactively and effectively identified customer requirements.
- Lead & develop Big Data Solutions practice including set up Big Data roadmap.
- Extensive knowledge of best practices like governance, architecture, design, logical and physical design,, security, Master data management and data quality for traditional and Big Data.
- Expertise in Big Data architecture like Hadoop distributed system, MongoDB, NoSQL.
- Working knowledge of Big Data analytics tools like R, Aster.
- Production implementation experience of Big Data technology like Hadoop, HDFS, PIG, HIVE, HBASE, MongoDB, Vertica.
- Experts of RDBS products like ORACLE, TERADATA, SQL Server, Informatica.
- Knowledge of Spark, Kafka, Storm, Python, Unix shell scripts.
- Experience in working with US / international clients.
- Cost and productivity management with Onshore / Offshore model.