Blend360

The client, a municipal government agency serving 2.2 million residents, had experienced a five-year delay in modernization because of an aging VMware infrastructure that increased costs, slowed deployments, and limited innovation. The migration also had to be completed without disrupting operations during the peak annual property tax payment period while maintaining 75% of existing VMware workloads and complying with public sector regulations.

Blend360 delivered a cloud-enabled migration using Amazon Elastic VMware Service (EVS). The solution established a hybrid cloud architecture using AWS Direct Connect through AWS ISV Lumen to provide dedicated connectivity between municipal data centers and AWS cloud environments. VMware extended networking capabilities were used to enable seamless integration between on-premises and cloud infrastructure, supporting workload migration while maintaining uninterrupted public services.

The client faced inconsistent and unreliable data across multiple teams and departments, making it difficult to discover and access data from different sources. Delays in data availability slowed decision-making, while the lack of standardized data sources and processes made it difficult to establish ownership and implement data governance practices.

Blend360 established a unified data strategy supported by a centralized data catalog and standardized data layers. The implementation introduced robust controls and validation processes, improved data discoverability, integrated governance principles into the data architecture, established a standardized silver zone for data management, and leveraged on-premises technologies together with DBT using a layered approach for managing data.

The client operated a fragmented data landscape spanning more than 18 source systems, including Salesforce, Microsoft Dynamics 365, Certinia, and multiple ERP platforms, without a unified integration layer. Business-critical data remained siloed, reporting processes were manual and error-prone, the legacy Azure Synapse environment could not meet enterprise requirements, and there were no standardized data quality controls or error-handling mechanisms across data pipelines.

Blend360 designed and implemented a modern Enterprise Data Warehouse on Microsoft Fabric using a Medallion Architecture with Bronze, Silver, and Gold layers. The solution included automated end-to-end data pipelines with embedded data quality validation and error handling, custom pipeline development for systems without prebuilt connectors, development of more than 30 BI reports, and a knowledge transfer framework to support long-term operational independence.

The client had fragmented data across multiple systems, markets, and manual processes, preventing the establishment of a single source of truth. The absence of standardized product and customer taxonomies resulted in inconsistent reporting and analytics across markets, while the organization required a scalable digital infrastructure to support long-term business growth.

Blend360 developed a unified product and outlet taxonomy to establish a single source of truth across the enterprise. The solution included outlet data profiling and deployed Generative AI using fuzzy matching and large language model (LLM)-powered classification to enrich and standardize product data, improving product hierarchy mapping and data standardization across the organization.