When data is stored in disparate, disconnected systems, it becomes hard to get a clear, holistic view of your business. It should be simple to make sense of what’s happening, make timely decisions and be operationally efficient, isn’t it?

Centralize all of your Data and set up AI Agents to act like your Analyst, with Codewave’s Data Warehouse Services and Agentic AI Development Services. We make it easier to analyze, and act on your data with the power of Gen AI and Agentic AI.

If you’re struggling with issues like data discrepancies, slow report generation, disparate systems and inefficient processes; our Data Warehouse Advisory Service is for you.

We start by assessing your current Data systems, processes and infrastructure to identify issues and what needs fixing. We also understand your business vision and Data strategy, how you aspire to use Data as your competitive advantage. Based on our findings and strategic alignment, we recommend solutions. We also provide expert consulting and implementation of security best practices, compliances, governance and ethics, strengthening your Data management capabilities.

Example: A business wants to make Data as its strategic MOAT, to differentiate itself from competitors. But their current systems and infra, aren’t fast and accurate enough. We migrate them into modern day platforms where Data flows seamlessly in realtime and is made actionable for AI Agents to automate actions, giving the business a strategic advantage and making it difficult for competitors to replicate their USP.

When your data is scattered across disparate systems like Salesforce and SAP, it is difficult to unify, centralize Data, make sense of it and get a clear, holistic view of your business reality when it matters. It’s tough to make strategic decisions when you’re constantly fighting with fragmented data that’s not realtime or inaccessible in realtime.

We design and implement cloud-native data warehouses that centralize and simplify your data. Using Snowflake, we analyze your data sources and create an architecture that ensures seamless integration, flow and cloud-native scalability. We implement Apache Kafka for real-time data flow and Fivetran for automating ETL pipelines, reducing manual work and improving data accuracy.

For example, a retail business brings all its Data from demand to supply in one system (marketing, sales, customers, orders, warehouse, inventory, production), making the business operate like a well-orchestrated symphony. When demand changes, the supply and pricing is dynamically adjusted. Sales teams stay on top of changing prices and sales / orders, adjust their promotions to stimulate demand.

You know the signs—queries take forever, reports don’t show correct numbers, and even small updates break things. Outdated data systems don’t make your business fast.

We help businesses embrace modern day Data platforms for speed, agility and accuracy. We help migrate from legacy, on-premise data warehouses to cloud-native platforms like Snowflake or Redshift—without downtime or data loss. Starting with an assessment, we choose the right platform, architecture and a migration strategy. We use AWS DMS for seamless, zero-downtime database migration, Azure Data Factory to rebuild scalable ETL pipelines, and dbt to carry over business logic intact, ensuring data consistency post-migration.

For example, a telecom provider migrating from an on-prem Oracle DWH to Redshift sees their month-end reporting take just 20 minutes, instead of 6 hours. In this case, data models, access rules, and ETL jobs are replicated without rewriting from scratch—your teams keep working without disruption.