Database Design and Data Analytics Services

Effective database design goes beyond storing data. It requires efficient structure, regular snapshot backups, and a dependable disaster recovery plan to maintain performance and resilience.

We start by understanding your needs, including your budget, the type of frontend the database will connect to, your preferred deployment method such as cloud or on-premises, and any privacy or security concerns. Using this information, we create a complete and reliable database solution that fits your goals, with hardware recommendations if needed.

Our services also support automation within existing or legacy systems. We help integrate modern automation into older infrastructure to improve efficiency without requiring a full system overhaul.

We provide data analytics focused on improving how your systems work. This includes analyzing processes to identify critical steps, remove inefficiencies, and streamline operations. We design custom analytics to answer important business questions and optimize storage, especially for systems involving IoT or automation.

When privacy is a concern, we implement data anonymization strategies to protect sensitive information while preserving the integrity of the data for analysis and reporting.

Whether you’re starting fresh, refining an existing setup, or upgrading a legacy system, we help you build a database environment that is efficient, scalable, secure, and ready for the future.

Expected Report/Templates for working.

• Entity-relationship diagrams (ERDs)
• Normalized and denormalized schema examples
• Automation workflows (e.g., triggers, scheduled jobs)
• Sample query library for analytics and reporting
• Integration layout (how database connects to frontend or API)
• Data anonymization strategy (masking or tokenization samples)
• Data retention and archival structure
• IoT data stream handling example (high-ingestion models)
• Performance optimization plan (indexes, partitioning)
• Legacy system automation diagram