Data Architecture Services
Build a Future-Ready Data Architecture.
Design, integrate, and optimize your data infrastructure for seamless operations and powerful insights. Work with Analytics Logic’s experts.
Trusted by federal agencies and leading primary contractors.
Data Architecture Services We Provide
1. Enterprise Data Architecture
We build secure and flexible data architectures that promote the use of high-quality, relevant, and accessible data. Whether cloud-based, on-premise, or hybrid, our architectures are designed to grow alongside your agency’s needs, supporting business intelligence, data science, custom applications, and regulatory reporting.
2. Data Warehouses and Data Marts
Utilizing modern platforms and proven techniques, we construct data warehouses to provide a central, governed location for structured and semi-structured data assets. We offer guidance on whether your data should reside in a data warehouse, a data lake, or a combination of both.
3. Cloud Data Migrations
Our team can migrate your data assets to scalable cloud-based database platforms such as Snowflake or any databases available on AWS and Azure. We create custom migration plans that include platform setup, configuration, technical migration details for all environments, training, and go-live procedures.
4. Platform Health Checks
We evaluate your existing Microsoft Azure or AWS environments for operational excellence, security, reliability, performance efficiency, and cost optimization. Our detailed recommendations and best practices will help you improve these areas to maximize your investment.
5. Data Governance and Quality
We establish enterprise-wide master data management, data cataloging, and scalable ETL and ELT strategies. Our services also include data modeling, data lineage, data preparation, and ensuring data quality and governance to maintain high standards across your data architecture.
6. Advanced Analytics Support
We provide the infrastructure needed to support advanced analytics, enabling your agency to leverage AI and machine learning. This includes the implementation of operational data stores, data lakes, and custom applications tailored to meet the complex needs of modern data environments.
Case study
HHS’s Assistant Secretary for Public Affairs (ASPA) faced significant challenges with their existing data warehousing and analytics infrastructure. Key issues included data insufficiency, poor data cleanliness, and inefficiencies in data processing. These problems hindered ASPA’s ability to perform advanced data analytics and generate actionable insights, critical for informing communication and public health decisions. Read the case study.
Key Facts about Data Strategy Services
Why hire Analytics Logic to modernize your data architecture?
What is data architecture?
What is an Event-Driven Architecture (EDA)?
Why hire Analytics Logic to modernize your data architecture?
A modern data architecture eases access to and promotes the usage of large volumes of data from diverse sources.
We build secure and adaptable architectures to help agencies overcome common challenges that arise from outdated or rigid data systems:
- Inability to Address Requirements Quickly: Swiftly meet evolving business needs with flexible and scalable architectures.
- Real-Time Data Processing: Process data in real-time or near real-time to enable timely decision-making.
- Handling Big Data: Efficiently manage large volumes, streaming data, and various data sources and types.
- Data Consistency: Ensure uniform data gathering, processing, and usage practices.
- Support Advanced Analytics: Build the infrastructure necessary to support advanced analytics and AI-driven insights.
What is data architecture?
- Foundation for Data Management: Data architecture is a framework that outlines how data is collected, stored, managed, and used within an organization. It serves as the foundation for all data management processes, ensuring data integrity and accessibility.
- System Design: It involves designing data systems that meet business requirements, including databases, data warehouses, data lakes, and data marts, which support various analytical and operational needs.
- Data Flow and Integration: Data architecture defines the flow of data between different systems and applications, facilitating data integration and interoperability across the organization.
- Governance and Security: It includes guidelines and policies for data governance, ensuring data quality, security, and compliance with regulatory standards.
- Scalability and Flexibility: A robust data architecture is designed to be scalable and flexible, accommodating future growth and evolving business needs.
What is an Event-Driven Architecture (EDA)?
- Reactive System Design: Event-Driven Architecture (EDA) is a design paradigm in which the system’s flow and state transitions are driven by events, such as user actions, sensor outputs, or messages from other systems.
- Decoupling Components: EDA decouples components within a system, allowing them to react independently to events. This enables greater flexibility and scalability, as components can be added, removed, or updated without affecting the overall system.
- Real-Time Processing: It supports real-time processing and responsiveness, making it ideal for applications that require immediate reaction to changes, such as IoT systems, financial trading platforms, and real-time analytics.
- Asynchronous Communication: Events are typically processed asynchronously, improving system performance and resource utilization by allowing multiple events to be handled concurrently.
- Scalability and Flexibility: EDA is highly scalable and adaptable to varying workloads, making it suitable for dynamic environments with fluctuating data volumes and diverse event sources.
100s of federal offices, staff divisions, and contracting companies rely on our Data Architecture services.
Why Choose Analytics Logic for Data Architecture Services
Deep Federal Experience
Benefit from our 12+ years of experience with U.S. Federal projects, ensuring compliance and deep understanding of governmental data needs and challenges.
Strategic Tech Partnerships
Leverage our vendor-neutral partnerships with top tech giants like Google, AWS, Azure, and more, allowing us to tailor cutting-edge data science solutions perfectly suited to your requirements.
Diverse Industry Insight
Our team of dedicated data experts brings invaluable cross-industry experience from government, healthcare, finance, and media, enabling us to cross-pollinate best practices across industries, providing you with innovative, tried-and-tested solutions that are not confined to a single perspective.
Our streamlined and effective process.
Step 1
Initiate discovery.
We start by understanding your project needs, objectives, and constraints to tailor our approach, whether it involves advanced data science or strategic analytics.
Step 2
Tailor solutions.
Based on the discovery insights, we define the strategy and assemble a tailored team of data experts suited to your project’s specific requirements.
Step 3
Launch and execute.
With the strategy and team in place, we initiate project execution, ensuring constant communication and flexibility to adapt to evolving needs.
Looking for reliable data architecture expertise for your agency?
See how we can help.
