Enterprise Data Management
Datamatics has a robust Enterprise Data Management practice that is built on the ‘Intelligence-First’ principle. Aimed at enabling organizations gain access to real-time business insights, the practice helps businesses co-develop a hybrid architecture that unifies multi-structured data from disparate sources to derive intelligence. Datamatics thereby helps businesses stay competitive by making their processes and systems responsive and aligned to evolving market conditions.
What do we do?
Datamatics manages the entire Data to Intelligence life cycle and provides end-to-end solutions and advisory consulting for:
Data Architecture & Data Governance: Establish standard models, accountability matrix and best-in-class policies for collecting, storing, integrating, accessing and analyzing data in a secure environment.
Data Ingestion: Import and integrate multi-structured data from disparate (internal or external) sources including enterprise systems, social media, free text documents, and market surveys in real-time for further processing and analysis.
Data Preparation: Support businesses to migrate, curate, integrate, and organize data to make it ready for Data Mining and Pattern Analysis.
Data Storage and Indexing: Configure and define the data flow for highly scalable data storages and Data Lakes. These are built on cost effective storage devices and operate in a framework of advanced metadata tags for seamless retrieval.
Data Consumption: Mine historical and related data sets in order to derive high value business insights using different methods, including Data Visualization/Business Intelligence, Predictive Data Analytics/Data Science, Text Analytics/Pattern Mining/Prescriptive Analytics
Data Visualization (DV) / Business Intelligence (BI): Getting insights, identifying patterns and correlations from voluminous data, showcased through intuitive and self-service dashboards. Click Here to know more
Predictive Data Analytics / Data Science: Predict outcomes from historical data and assess the same for future occurrences. Click Here to know more
Text Analytics / Pattern Mining / Prescriptive Analytics: Decipher patterns from multiple sources including static and streaming data, which is done through cognitive technologies such as Artificial Intelligence and Machine Learning. Click Here to know more
Insights Integration: Help develop systems and platforms that integrate intelligence from analytical findings into the business. Through automation, these insights can be shared across all stakeholders, thereby facilitating a continuous, self-evolving, and self-learning feedback loop.