An enterprise data warehouse (EDW) can only perform at its peak if all aspects of the process – from data to analysis to reports and insights – are streamlined and purged of all confusion.

Despite the rapid and continuous evolutions brought about by recent technology, many organizations still lag behind. They are weighed down by antiquated analog data collection and management systems, scattered sources of information, and inconsistent data that creates unusable insights.

With the advent of the cloud, serverless data, artificial intelligence, and machine learning, the enterprise data warehouse has the potential to be transformed into a thriving center of the organization’s information and analytics. Legacy and analog data can be cleaned, verified, migrated to the cloud using extract-transform-load (ETL) processing.

This way, your data can be double-checked for duplication and inaccuracies, contextualized, and curated for tailored insights. A well-maintained data warehouse brings significant value as a time- and resource-saver because it can aggregate high volumes of ostensibly random information automatically.

And when an organization’s data is structured in such a methodical, automated way, its growth potential expands exponentially.

As a digital transformation services firm, Trianz helps clients tap into the significant advantages that technological developments can bring to your data warehouse capabilities. In bringing these EDWs up to current and even future standards, we have always adhered to our motto of excellence in execution.

What follows are just a few of our case studies of enterprise data warehouse engagements.

A Game-Changing Platform on an Azure Data Lake for a Global Reinsurer


A large reinsurance organization was looking to build a centralized modern data and analytics platform, leveraging cloud services that not just met its current, future, functional, and non-functional requirements, but also offered a global business view into operational insights.

Looking at their existing applications, systems, reports, and challenges, we recommended a federated data management solution and laid out a roadmap to finalize the cloud infrastructure with a federated architecture.

Global Reinsurer

Next Gen Data and Analytics Platform on AWS for a P&C Insurer


A property and casualty insurer needed a scalable solution that could not only ingest and analyze new data sources quickly and efficiently, but also cost-effectively. Their goal was to spend more time on insights and action and less time on set-up.

After a thorough assessment of their existing reporting strategy, alignment, and challenges, we recommended deploying the cloud force analytics platform using AWS Cloud Managed services.

P and C Insurer

Data Warehouse: From Strategy to Implementation for a Nonprofit


A leading nonprofit that coordinates organ donations needed to redesign and build the legacy reporting and analytics environment of. The organization had to tackle challenges posed by an aging and poorly functioning legacy environment, including weak reporting functions and limited data access, quality, and integrity.

Our data experts strategized how to best meet their goals of improved information management while overcoming these significant hurdles. Trianz experts teamed with the organization to develop and test a transformative business intelligence solution.

Implementation for a Nonprofit

Developing a Data Warehouse and Business Intelligence Environment


A well-known university in the US needed to implement an updated computing system to phase out its legacy environment. They required an update to their information access, reporting, and analysis to shift from manual, analog reports to a digitalized solution.

The primary task was to develop best practices and strategies for providing timely and accurate access to information. The goal was to effectively and efficiently keep track of and manage important data such as registration, financial aid, grades, grants, and financial information. Our team teamed with university staff to design and implement an upgraded warehouse and streamlined reporting environment.

Business Intelligence Environment

Elevating Higher Education with Better Reporting Architecture


An internationally recognized leader in higher education based in Indiana needed to upgrade their enterprise resource planning (ERP) system and gain more visibility into the university finances. The challenges they faced included a lack of financial reporting capabilities needed for planning and operations, as well as more thorough and extensive auditing of financial information migrated into the new ERP environment.

Trianz helped university staff by strategizing, designing, and developing an updated digital reporting environment to meet their goals.

Reporting Architecture

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Trianz enables digital transformations through effective strategies and excellence in execution. Collaborating with business and technology leaders, we help formulate and execute operational strategies to achieve intended business outcomes by bringing the best of consulting, technology experiences and execution models.

Powered by knowledge, research, and perspectives, we enable clients to transform their business ecosystems and achieve superior performance by leveraging infrastructure, cloud, analytics, digital, and security paradigms.

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