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ENTERPRISE DATA MANAGEMENT (EDM)

Intelligent Solutions for Data Driven Businesses

INTELLIGENT SOLUTIONS FOR DATA DRIVEN BUSINESS

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

Datamatics offers Data Management solutions with ‘Intelligence-First’ principle at the core and advocates true ‘Data Democracy’. The solutions 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.

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ADVANTAGES

EDM Consulting & Advisory

Consulting & Advisory

For Data-Architecture strategy, Process re-engineering, Systems implementation

EDM - Enterprise Data management Implementation

Implementation

Across the continuum – Storage, Analytics, Visualization

EDM Support & Professional Services

Support & Professional Services

Across the Data Management and Maintenance Lifecycle

EDM Solution On-Premise Hybrid & Cloud

Cloud, On-Premise & Hybrid

Deployment Models for Cost Effective Data Consumption

ENTERPRISE DATA MANAGEMENT OFFERINGS

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Data Governance

Establish governance models for data-ownership and stewardship to build single-source-of-truth. Frame best-in-class-policies for collecting, storing, integrating, accessing, and analyzing data.

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Data Architecture & Design

Implement robust data collection procedures by defining proper fields & layers and storing it in a secure, accessible-form.

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Data Ingestion

Integrate multi-structured data from different sources including enterprise systems, free text documents, portals & websites and social media.

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Data Preparation

Unify data using solutions for migrating, curating, integrating, and organizing it to make it ready for data mining and pattern analysis.

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Data Storage & Indexing

Configure data flow for building scalable data storages and data lakes using cost effective storage devices and advanced metadata tags for seamless retrieval.

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Data Consumption

Mine data to derive business insights using different methods including data visualization, business intelligence, predictive data analytics, data science, text analytics, pattern mining and prescriptive analytics.

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