Big Data
Leverage your data to the hilt. Create data lake and apply data analytics with latest tools and technologies to get the most from one of your most precious resources: your data.
Data Integration
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Data Harmonization:
Data harmonization makes data compatible and comparable, even when it comes from a wide range of unrelated sources. Ensure your data is ready for unsupervised learning, supervised learning and advanced analytics. -
Extract, Transform and Load (ETL):
Customized ETL/ELT services combine domain and technology expertise to build high quality data assets. Determine the best data extraction methods for your system and identify data formats and structure that align with business goals. -
Master Data Management:
Provide a single point of reference for data within a company. Master Data Management (MDM) comprises the processes, governance, policies, standards, and tools that define and manage critical data. -
Data Quality:
Before data can drive decisions, it must be complete, consistent, relevant, and accurate. Better data quality means better AI models, more accurate analytics and more reliable decisions. -
Common Data Model (CDM):
Organize data into a standard structure and get a single source of truth for your organization. Data contained within disparate databases is transformed into a common format and then systematically analyzed.
Data Warehousing
- Optimize big data infrastructure for your workflow
- Incorporate data from new and tradition sources
- Build optimized data structured
Big Data Analytics
- Increase effectiveness of customer & marketing analytics
- Adopt new tools to implement precise solution
- Incorporate advanced analytics like NLP , complex event processing and sentiment analysis and many more
Data Visualization + BI
- Build living Dashboards for specific business owners
- Design automated executive summary Dashboards
- Access results fast with-in memory visualization
- Access reports and Dashboards on mobile devices
Software Solutions
- Customize big data applications designed to explore, analyze, and manage a wide range of data based on client needs. Data types that these applications can handle include streaming, traditional, and unconventional data
- Design, build & deploy custom solutions
- Integrate mobile & web apps with your big data framework
- Support real time , near real time or batch processing