Overview
Assessment Workshop is a comprehensive and value-driven solution for modernizing and optimizing your databases. We'll align your use cases to the right databases such as, but not limited to; Amazon Aurora, Amazon DynamoDB, Amazon ElastiCache, Amazon Neptune, Amazon Timestream, and Amazon Relational Database Service.
Our approach is designed to help organizations like yours achieve their business objectives and realize the full potential of their data. The Assessment Workshop consists of several phases, each designed to provide you with the information and insights you need to make informed decisions about your data platform.
The first phase of the Assessment Workshop is the discovery automation phase. During this phase, we use automated tools to collect information about your databases and connected applications. This information is critical in helping us understand your current data platform and identify areas for improvement. By using automated tools, we are able to speed up the discovery process and provide you with accurate insights into your current databases.
Next, we analyze your current on-premise or on cloud databases to identify areas where costs can be reduced and performance and efficiencies can be improved. Our goal is to help you create a modern and efficient data platform that meets your business needs. We understand that each organization is unique, and that's why we take a tailored approach to our assessments. We work with you to understand your specific requirements and goals, and use that information to create a customized solution that meets your needs.
After 2-8 weeks of discovery, requirement gathering, and stakeholder interviews, we provide you with a detailed architecture and systems design. Our design takes into consideration important aspects such as security, scalability, observability, and resilience, ensuring that your new data platform meets the highest standards. Our team of experts will work with you to define the most appropriate architecture for your organization, taking into consideration factors such as your data volume, data types, data processing needs, and more.
We also provide a comprehensive road map for your migration/modernization journey. Our road map defines short-term, medium-term, and long-term goals to help you achieve your desired end state in a consistent and fast manner. Our approach is based on the SCRUM Agile methodology, ensuring an iterative process that delivers results quickly. We understand that modernizing databases can be a complex and time-consuming process, but with our road map, you can rest assured that you have a clear and well-defined path forward.
Finally, we provide a comprehensive analysis of your total cost of ownership (TCO) and return on investment (ROI) for your databases on cloud. This analysis will help you understand the costs involved and the expected benefits of modernizing your databases, providing you with the information you need to make informed decisions. We believe that cost savings are an important consideration for any organization, and that's why we take a rigorous approach to our TCO and ROI analysis, providing you with the most accurate information possible.
In conclusion, the Assessment Workshop is a value-driven and comprehensive solution that will help you modernize and optimize your databases, delivering the performance, efficiency, and cost savings you need to achieve your business objectives. Our approach is designed to help you make informed decisions about your data platform and ensure that you are well-positioned for success in today's fast-paced, data-driven world.
Highlights
- The Assessment Workshop provides a complete and tailored solution for modernizing and optimizing your databases. Our approach includes discovery automation, analysis of current databases, detailed architecture and systems design, a migration/modernization road map, and a TCO/ROI analysis.
- Different types of databases are best suited for specific use cases. For example, relational databases handle structured data well, NoSQL databases handle large amounts of unstructured data, graph databases are ideal for complex relationships, in-memory databases are optimized for fast access and low latency. Choosing the right type improves data management performance and efficiency.
- We understand that cost savings are an important consideration for any organization. That's why we provide a comprehensive analysis of your TCO and ROI for your databases on cloud. Our analysis will help you understand the costs involved and the expected benefits of modernizing your databases, providing you with the information you need to make informed decisions.
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