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.
Enterprise Data Management (EDM) Offerings
EDM Data Governance
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
Data Architecture & Design
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
Data Ingestion
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
Data Preparation
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.
Data Storage & Indexing
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
Data Consumption
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.
Advantages of Datamatics EDM Solutions
Engage an EDM partner with -
Global footprint comprising 275+ customers and successfully implemented EDM projects
Multi-domain expertise
200+ certified & experienced EDM professionals
27+ Cloud Architects
25+ Business Intelligence & Interactive Visualization resources
Technology Partnerships
Use renowned technologies of choice –
MS PowerBI
MS SQL Server
Pentaho
SAS
Tableau
Cognos
SAP BO
TIBCO
MicroStrategy and much more
Consulting & Advisory
Engage expertise in institutionalizing Data-Architecture strategy, assessment, health-checks, Data Governance models, Business Process Re-engineering, and blue prints for highly scalable systems implementation across the data architecture framework
Implementation
Avail implementation expertise across the data consumption continuum – Data Ingestion, Data Preparation, Data Storage, Data Consolidation, Data Integration, Data Reporting & Visualization, Data Mining, Data Analytics, Data Security, and Data Governance
Support & Professional Services
Engage administration, sustenance & support services across the EDM lifecycle right from Data Ingestion to Data Mining and Data Analytics
Upgrade & migrate to technology tools of choice
Multiple staffing models – project-based, ad-hoc contracting, training & deployment
Cloud, On-Premise & Hybrid
Deploy various Data Deployment Models for highly agile and cost-efficient Data Consumption methods across the Big Data value chain
Implement Hadoop-powered Big Data Storages and Data Lakes for storage of multi-structured data
FEATURED CONTENT
Case Study
TruBI Enhances Data Transparency For A Prominent Tyre Giant
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.
What does Enterprise Data Management comprise?
Enterprise Data Management comprises many sub-processes, such as, data collection, data ingestion, data preparation, data storage, data visualization, and data analytics.
Why is a cloud-framework important for Enterprise Data Management?
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.
Why is Data Governance important in Enterprise Data Management?
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.
