Intelligent Solutions for Data Driven Businesses


As enterprises face the onslaught of high speed, high volume data, they need to quickly validate and integrate the data for wider organizational consumption. In order to make sense out of this Big Data conundrum, enterprises need to use Data Management solutions and make further processing and utilization simpler, scalable, and less time-consuming.

Datamatics’ Enterprise Data Management practice offers hybrid data management solutions with ‘Intelligence-First’ principle at the core and advocates true ‘Data Democracy’. 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 company’s enterprise data management 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 Solutions



Award-winning EDM Practice

Award-winning EDM Practice

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 – MS PowerBI & Tableau
Technology Partnerships

Technology Partnerships

Use renowned technologies of choice –

  • MS PowerBI
  • MS SQL Server
  • Pentaho
  • SAS
  • Tableau
  • Cognos
  • SAP BO
  • MicroStrategy
  • and much more
Enterprise Data Management EDM Consulting & Advisory

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


  • 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

Support & Professional Services

  • Engage administration, sustenance & support services across the Enterprise Data Management and the entire Enterprise Data Maintenance 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 & HybridCloud, 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


Data Governance

Data Governance

  • Establish governance models for data-ownership and stewardship to build a single source of truth in an agile environment
  • Frame the best in the class policies for collecting, storing, integrating, accessing, and analyzing Big Data and create an enriched Big Data value chain
Data Architecture & Design

Data Architecture & Design

  • Implement robust data collection procedures by defining proper fields & layers and storing it in a secure, accessible-form to create a clean and usable Big Data framework
  • Institutionalize the true Data Democracy paradigm
Data Ingestion

Data Ingestion

  • Extract information and integrate high volumes of multi-structured and fast moving data from different sources including enterprise systems, free text documents, portals & websites and social media
  • Build the framework in a jigsaw manner for creating a single source of truth
Data Preparation

Data Preparation

  • Unify data using proprietary as well as COTS technology solutions for migrating, curating, integrating, and organizing it to make it ready for holistic data mining, 360 degree view of the data continuum, and pattern analysis towards data discovery

Data Storage & Indexing
Data Storage & Indexing

  • Configure the data flow for building a scalable Big Data storage and Data Lake mechanism by using cost efficient hardware, storage devices and advanced metadata tags for seamless data storage, search, and retrieval
Data Consumption

Data Consumption

  • Mine the single source of truth or the curated data to derive intelligent and actionable business insights by using different methods, including data visualization, business intelligence, predictive data analytics, data science, text analytics, pattern mining, and prescriptive analytics

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