Data Management

Data science solutions to transform your data into actionable insights.

Having access to reliable, quality data becomes more important every day; however, mMost enterprises can’t effectively manage their own data, but. By partnering Optimoz, your enterprise can develop a cohesive data management strategy, platform, and set of processes that delivers accurate answers and insights drawn straight from your own data.

We employ leading experts in every data management discipline:

  • Data strategy and architecture
  • Database management
  • Data ingestion, transformation, and quality
  • Data warehousing
  • Data governance & compliance
  • Data science and analytics
  • Artificial intelligence & machine learning

Data Management Process

Our four-step approach to data management enables enterprises to put data management technologies and processes in place quickly and rapidly build expertise:

Plan – Perform research on the state of data in your enterprise to create a bespoke data management strategy that matches your business needs.
Deliver – Implement data management technologies, ingest data, and define and execute data management and governance processes.
Optimize – Analyze and continue to fine-tune performance to deliver more accurate results.

Products & Technologies – Research and select the appropriate products and technologies for your data management platform and build an implementation team made up of Optimoz experts and your employees.
Train – Transfer knowledge to your employees, so they can manage and derive continuous value from your data management platform.

For our customers, the benefits from best-in-class data management technologies and processes are significant:

  • Improved process execution across the enterprise
  • Increased transparency in operations
  • Enhanced customer service
  • Improved access to data and reporting to support decision-making
  • Improved governance and regulatory compliance

LLM Foundation

Large language models (LLMs) have taken the tech world by storm, and everyone is rushing to adapt them for their use cases. These adaptations can be in the form of directly using vanilla models, fine-tuning (using algorithms such as PEFT-LoRA), and Retrieval Augmented Generation (RAG).

The Double-Edged Sword of Interoperability in Development

In the fast-paced realm of software development, the concept of interoperability serves as both a beacon of progress and a cautionary tale. This principle, which advocates for disparate systems and applications to work seamlessly together, holds the promise of a more integrated and efficient technological ecosystem. However, as with any significant shift in paradigms, it brings with it a set of challenges and concerns, particularly regarding the pace of innovation and the landscape of consumer choices.

Cloud Systems: CloudSight optimizes cloud spending and usage

Cloud Systems: CloudSight optimizes cloud spending and usage

Optimoz’s Cloud Systems: CloudSight helps cloud services consumers to optimize their spending and cloud usage while leveraging on the cloud elasticity and devops. Visit https://cloudsystems.com to learn more about our solutions.

API Test Automation

In a nutshell, an API is a set of functions that allows the sharing of data between independently run applications. Over the past 24 months, more enterprises have begun to modernize their applications by adopting an API (Application Programming Interface) first...

Rethinking API Governance with Deloitte, OPTIMOZ and USCIS

Deloitte, OPTIMOZ and USCIS discuss the patterns and anti-patterns for achieving the right-sized API governance approach for your organization from the show floor at Google Cloud Next ’19. https://youtu.be/eUT-MgG7yv0

DevSecOps solutions that support the delivery of large-scale AI-driven enterprise applications.

Learn More

See All Case Studies

Let's get started.

Give us a call +1.301.917.9116 or