- Smart Processes
- Smart Systems
- Smart Devices
- Smart Data
Datamatics has a robust Enterprise Data Management practice that is built on the ‘Intelligence-First’ principle. Aimed at enabling organizations gain real-time access to business insights, the practice helps businesses to develop a hybrid architecture that unifies multi-structured data from disparate sources to derive intelligence. Datamatics thereby helps businesses stay competitive and aligned to evolving market conditions. Through the Advisory Consulting cell, the company also helps clients design roadmaps for building robust information management systems.
What we do?
Datamatics manages the entire Data to Intelligence lifecycle and provides smart solutions for:
- Data Management: Offers end-to-end solutions for developing and maintaining clean unified data for a quick and secure access to enterprise information. Click here to know more
- Big Data & Data Lakes: Offers integrated solutions for deriving value from voluminous data sets in real-time by using self-service dashboards for deep query. Click here to know more
- Data Science & Advanced Analytics: Provides a competitive edge to clients through cutting edge Advanced Analytics solutions ranging from customer insights analytics, marketing analytics, sales analytics, supply chain analytics, risk analytics, to human resource analytics. Click here to know more
- Business Intelligence: Offers self-service dashboards and customized visual reporting solutions in Business Intelligence and Data Warehousing with a focus on user engagement and quick decision making. Click here to know more
- Cognitive Science: Helps clients extract intelligence from voluminous multilingual text content as well as transactions in near-real-time using proprietary tools based on sophisticated technology like Artificial Intelligence and Machine Learning. Click here to know more
Datamatics offers a wide array of services across the Data to Intelligence spectrum.
- Business Intelligence / Analytics: Artificial Intelligence, Machine Learning, Evolutionary Algorithms, Genetic Algorithms, Stochastic Modelling, Structured and Unstructured Analytics (including Text Analytics)
- Data Lake / Data Repository: Hadoop, PostgreSql, MongoDb, Ms SQL, MapR, Talend
- Data Visualization: Tableau, Qlik Sense, Cognos, nSights
- Data Enrichment / Quality Assurance: Data Standardization, Cleansing, Transformation, Data quality controls
- Data Bus / Data Integration: Data Profiling, Mart formation, Extraction, Transformation, Loading (ETL) Automation, Data Discovery, Data Migration
- Master Data Management: Governance, Architecture, Models, Quality and Security
- Strategic Alliances: MapR, Talend, Informatica, Microsoft, IBM
- Consulting & Advisory: Data Maturity Assessment, Data Architecture & Governance and Integrated Intelligence
Technologies for Data Lifecycle