Data Management as a Service

Data Management as a Service

At Grand Design Systems  we  have been working with enterprises to help with their AI strategies and planning. We have found that managing data-related roles efficiently can be a challenge. Which is why we are introducing Data Management as a Service (DMaaS) – a comprehensive solution that offers enterprises the expertise and support of Data Architects, Data Engineers, Data Scientists, Data Analysts, and Chief Data Officers, all as a service. GDS combines this expertise with a methodology and a set of  tools , and software that make managing the data more seamless and automated. 

DMaaS allows organizations to focus on their core business while benefiting from specialized data roles, expertise, and insights without the complexities of in-house staffing.

Parameters and Features:

  1. Data Discovery and Strategy:GDS will work closely with your enterprise to understand your business objectives, data sources, and challenges.Based on this understanding, we’ll develop a tailored data strategy that aligns data initiatives with your goals.

  2. Data Architecture and Engineering:Our Data Architects and Engineers will design, implement, and manage data pipelines, warehouses, and lakes.We’ll ensure data integration, transformation, and cleaning, providing your organization with clean, accessible data for analysis.

  3. Advanced Analytics and Insights:Our team of Data Scientists will create predictive models, conduct experiments, and generate actionable insights from your data.You’ll receive accurate forecasts, trend analyses, and recommendations to drive informed decisions.

  4. Data Visualization and Reporting:Data Analysts at GDS will produce comprehensive reports and visualizations, transforming complex data into understandable insights.These insights will be accessible via user-friendly dashboards, facilitating communication across your organization.

  5. Strategic Data Governance:Our Chief Data Officer will oversee the entire data strategy, ensuring alignment with business goals and compliance with regulations.You’ll receive guidance on best practices for data governance, security, and risk mitigation.

Output and Deliverables:


  • Customized Data Strategy Plan

  • Data Architecture Blueprint and Implementation

  • Cleaned and Integrated Data Sets

  • Predictive Models and Insights

  • Interactive Dashboards and Reports

  • Data Governance Framework and Policies

Pricing Model:

Our pricing model for DMaaS is designed to be flexible and scalable, catering to the unique needs of each enterprise. It comprises two main components:

  1. Subscription Fee: A base subscription fee covers access to our suite of data services, including data strategy development, architecture design, and data governance oversight.

  2. Usage-based Fee: An additional fee based on the volume of data processed and analyzed. This fee accounts for Data Engineering, Data Science, Data Analysis, and Visualization services.

Benefits of DMaaS:


  • Cost Savings: Eliminate the need for full-time hires, training, and infrastructure setup.

  • Expertise On-Demand: Access specialized data skills without recruiting challenges.

  • Rapid Implementation: Start benefiting from data insights without long setup times.

  • Scalability: Scale your data operations up or down based on business needs.

  • Focus on Core Business: Concentrate on your core competencies while we handle data.

By offering Data Management as a Service, GDS empowers enterprises to navigate the complexities of data without the burdens of staffing and training. Our comprehensive solution ensures that organizations extract maximum value from their data to drive innovation, growth, and competitive advantage.