Real-time and Actionable Business Insights from High Volume Data
BIG DATA & DATA LAKES
Real-time and Actionable Business Insights from High Volume Data
BIG DATA & DATA LAKES SOLUTIONS
Real-time and Actionable Business Insights from High Volume Data
The Datamatics Big Data & Data Lake enterprise solutions team aims to enable enterprises to gain access to real-time business insights. It helps enterprises reconfigure their data sources and co-develop a hybrid architecture that unifies multi-structured data from disparate environments for deriving high-value intelligence.
Datamatics enables businesses to leverage mammoth data storage and Data Lake solutions on-premise as well as on Cloud in a cost-efficient manner. The company engages web-based and do-it-yourself visualization techniques, for anytime anywhere any-device access.
Datamatics helps enterprises stay competitive by building responsiveness in their processes and systems and staying aligned with evolving market conditions. It helps businesses design roadmaps for building robust information management systems and increase viability as well as market relevance.
Run and maintain Big Data and Data Lake environment
Operate, manage, and staff
Performance Tuning of Data Lake solutions
Hadoop Cluster Administration (Onsite & Remote)
Data Management
End-to-End Big Data and Data Lake solutions for quick and secure access to unified clean data
Integrated and holistic solutions towards 360-degree view of a single-source-of-truth and establishing Data Democracy
Big Data & Data Lake Services
Integrated solutions for deriving value from Big Data and Data Lakes using self-service dashboards for deep-querying
Real-time, actionable insights from high-volume, integrated, and holistic data sets in elastic-search enabled storage
Data Science & Advanced Analytics
Business solutions for gaining competitive edge with Advanced Analytics
Faster data validations and enhanced time-series analysis
Highly customizable reports/dashboards
Deep Analytics over complex data architectures using different modelling techniques
Business Intelligence
Self-service dashboards and visual reports for user engagement and quick decision-making
Next generation visual analytics with 360-degree view using DIY tools
Interoperable and interactive data visualization atop mammoth data sets
Cognitive Sciences
Real-time intelligence extraction from free-flowing text using proprietary tools and customer-specific solutions supporting multiple languages
AI/ML algorithms for highly accurate data mining
Highly accurate pattern generation across voluminous data sets
Datamatics Advantages
D2I Partner
Expertise in the Data-to-Intelligence (D2I) continuum – data ingestion, data preparation, data integration & unification, data storage, data processing, and data analytics & visualization
Faster Insights
Core competence in universal data management from structured to multi-structured to unstructured using Data Lakes knowledge discovery generating faster actionable insights
Streaming Data Pipelines
Proficiency in integrating multiple datasets and sources for building streaming data pipelines for real-time business insights
Complex Data to Insights
Cognitive technologies to provide the bigger and holistic picture across mammoth data sets by joining the dots across diverse datasets
On-Premise & On-Cloud Expertise
Design and implementation of Data Lake solutions and storage on leading platforms – MapR, Amazon Web Services (AWS), Microsoft Azure, Hadoop, MongoDB, Talend, Pentaho in a cost efficient manner
Proprietary IP
AI/ML proprietary products for performing Advanced Analytics on voluminous data sets stored in Data Lakes in a safe and secure manner
Web-Based Visualization Models
Secure and scalable platform for analyzing Big Data using web based visualization models interoperable with various data lake storage mechanisms, anytime anywhere, any-device
Data Visualization
Integration of Big Data platforms with Data Visualization tools - Proprietary tool: Datamatics TruBI COTS tools: Tableau, Qlik Sense, IBM Cognos
Big Data Platform - Implementation & Support
Sustenance activities across the Big Data continuum right from data ingestion, data curation, data storage, analytics, visualization, to mining
FEATURED CONTENT
Case Study
Datamatics helps a large Middle East bank to migrate 400,000 accounts with Enterprise Data Management
Big Data is the high volume, integrated, and composite data set comprising structured, unstructured, and semi-structured data from distributed data sources, which may exist in silos. It may be generated by the nano-seconds in some cases. This aggregated data enables the generation of deep and actionable insights for enterprises.
What is Data Lake?
Data Lake allows to harbour multi-source, high volume, multi-structured or complex data, which on integration allows to generate actionable insights. It is a highly scalable storage that is hosted either on cloud or on premise.
Why are Data Lakes required for Big Data and Big Data Analytics?
Data Lakes allow to aggregate high volume, multi-structured, and siloed data that is distributed over multiple sources. They allow to store and integrate the high volume, high variety, and high velocity data or Big Data for analysing it or for generating Big Data Analytics.
