Data Platform 

Azure Infrastructure Management in a Nutshell

Introduction Microsoft Azure Infrastructure platform is the largest cloud platform for hosting IT infrastructure,[...]

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How to create client-side OData proxy dll for Microsoft Dynamics 365 for Finance & Operations (AX)?

Dynamics 365 for Finance & Operations (AX) has an OData interface with which we can easily integrate third-party[...]

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To be able to extract the most value out of your data, its vital that you have the required infrastructure and tools to manage the entire data lifecycle from acquisition to archival or purging. Our Data Platform Service is designed to ensure that no matter the shape or scale of your data, you are in a position to derive the maximum possible value from your data. The services that we offer are:

Data Modernization

Data Modernization

  • Assess and Evaluate the as-is state of data environment in your organization
  • Recommend a data modernization architecture and roadmap based on your current and projected data workloads and application requirements at scale. Data Modernization plans include services such as
    • Moving your data to faster, more secure and adaptable data platforms
    • On-Premises to Cloud Data Migration
    • Setup of a Hybrid Data Environment
    • Lift and shift to the cloud with no node changes
  • Ensure that your data and processes are reliably migrated to new setup and operationalized without causing any disruptions to your business.

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Data Governance and Master Data Management

Data Governance and Master Data Management

  • Establish a holistic framework for data stewardship to identify the ownership, accountability and responsibility for the quality, security and privacy of data
  • Design and align data governance strategy in accordance with your business requirements and industry standards
  • Define data lifecycle processes to manage where and how long your data lives
  • Design and Implement Master Data Management processes to ensure there‚Äôs one version of accurate master data for entities critical to your business activities.
  • Identify training requirements for key roles and conduct training as required

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Data Quality Management

Data Quality Management

  • Understand the data quality requirements for the business initiatives in your organization
  • Build and implement Data Quality solutions that will deliver data that is reliable, consistent and accurate.
  • Provide Industry specific best practices to detect and resolve data discrepancies and enforce standard operating procedures
  • Improve the overall efficiency of your IT and Business process by reducing the effort required to ensure that your data conforms to various standards specific to your industry

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Data Migration and Integration

Data Migration and Integration

  • Design data migration and integration applications that will provide you the ability to copy or move huge volumes of data in a secure environment at latency that you desire
  • Develop data migration and integration processes to automate the task of moving and integrating data between disparate systems with different data types and workloads
  • Instrument the processes so that migration and integration failures can be easily identified, escalated and remediated if the need be..

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