Intelligent Solutions for Data-Driven Businesses
Intelligent Solutions for Data-Driven Businesses
Datamatics Enterprise Data Management practice offers hybrid data management solutions with ‘Intelligence-First’ and ‘Data Democracy’ at the core. The solutions are highly scalable and facilitate easy storage, linkage, traceability, and retrieval of data across the data lifecycle. The solutions allow enterprise processes to access data in a secure environment.
Datamatics Enterprise Data Management practice offers end-to-end data management solutions as well as point solutions to enable businesses disembark on their data-to-intelligence journey. The EDM stack ranges from consulting assignments for institutionalizing data governance to data architecture & design, data ingestion, data preparation, cloud data storage, to data consumption.
Establish EDM governance models for data-ownership and stewardship
Build a single source of truth in an agile environment
Frame best-in-the-class policies for collecting, storing, integrating, accessing, and analyzing Big Data
Create an enriched Big Data value chain
Implement robust data collection procedures by defining proper fields & layers and store them in a secure, accessible-form to create a clean and usable Big Data framework
Institutionalize the true Data Democracy paradigm
Extract information from high volumes of multi-structured and fast moving data
Integrate data from different sources including enterprise systems, free text documents, portals & websites and social media
Build a single-source-of-truth
Unify data using proprietary and COTS technology solutions. Prepare it for holistic data mining, 360-degree view of the data continuum, and pattern analysis for data discovery.
Configure the data flow for building a scalable Big Data storage and Data Lake mechanism
Use cost-efficient storage hardware and advanced metadata tags for seamless data storage, search, and retrieval
Mine the single-source-of-truth to derive intelligent and actionable business insights. Use different methods, including data visualization, business intelligence, predictive data analytics, data science, text analytics, pattern mining, and prescriptive analytics.
Simplifying Enterprise Data Management
Enterprise Data Management is the process of storing standardized and curated data as a single source of truth, at the enterprise level in a highly scalable cloud framework, to advocate true ‘Data Democracy’ and ‘Intelligence First’ principle.
Enterprise Data Management comprises many sub-processes, such as, data collection, data ingestion, data preparation, data storage, data visualization, and data analytics.
A cloud-framework, whether on-premise or hybrid, is the most ideal for Enterprise Data Management because it offers a highly agile, scalable, and cost efficient framework for seamless data storage and access.
Formulating enterprise-level Data Governance policies for data collection, storage, and analysis is important to build Enterprise Data Management framework. It is the primary step towards building a single source of truth towards achieving true Data Democracy.
Datamatics is a Digital Technologies, Operations, and Experiences company that enables enterprises to go Deep in Digital to boost their productivity, customer experience and competitive advantage.