Data Analytics

We are focused on creation of accurate, consistent and transparent data content for you and your customers. We emphasize on usability of the data for its intended purpose and audience. Webdev helps you meet the enterprise data management goals to provide data assurance in terms of security, quality and accessibility.


Core Challenges faced by customers

  • Highly dispersed, fragmented and duplicated data - No enterprise view
  • No standards on internally and externally generated data - Low Data quality
  • Usage of disparate technologies for implementing identical processes in different department
  • Nomenclature and standardization issues - Lack of centralized Metadata management
  • Non-integrated processes and information - poor Master data management
  • Uncontrolled and/or unauthorized access to data - Data security issues
  • Lack of governance and ownership of data assets
  • Privacy, legal and regulatory compliance


How can we help

    Our solutions provide methodologies, best practices and proven solutions covering all aspects of enterprise data management. We bring expertise and experience in implementing data management solutions for customer.

    We provide the following services:

  • Data architecture
  • Data quality management
  • Metadata management
  • Master data management
  • Data security
  • Data governance


Business Value

    We understand the business drivers of data management strategy and solutions, based on our experience in tackling the complete lifecycle of data assets. We understand that for our customer data is not just any entity but a precious asset and at WebDev, we endeavor to make it secure, accessible and usable for our customer.

    Our comprehensive solutions can help you achieve the following:

  • Achieve organizational alignment on the governance of data management issues throughout the enterprise
  • Define and implement data architecture encompassing data modeling, data flow analysis, tuning, storage, visualization, and infrastructure
  • Identify, implement and maintain a single, unified view of reference data across the enterprise
  • Ensure data security, through security policies and processes
  • Establish processes that ensure good quality data on a regular and consistent basis