Data Management
Cost-effective platforms and solutions that scale with your business.
Fundamentals-first Approach
Reliable, efficient data management is more important than ever. Build the right foundation, and ensure your organization is ready for the future.
BBI was founded by data engineers, and specializes in delivering hands-on, expert data engineering. Our tech-agnostic, practical approach is rooted in a profound understanding of the nuts and bolts of data systems, focusing on real-world applications and results.
Data Management Services
From foundational infrastructure work, to implementing new data platforms and technologies on a global scale, we're ready to empower your organization.
Data Pipeline Development and Optimization
We build automated data pipelines for data collection, ingestion, and transformation from a variety of structured, semi-structured, and unstructured data sources. We engineer solutions for reliability, scalability and data quality, ensuring seamless data flow for batch, streaming, and API driven sources and targets.
Data Platform Design & Implementation
We build data platforms for reliability, scalability, and adaptability, whether in the public cloud or on-premises. We abstract complexity and craft design systems that work efficiently because we understand that most organizations have multiple generations of technologies and that valuable data is often locked inside systems that preceded the current data team.
Custom Solution Development
Recognizing that off-the-shelf tools don't always fit unique needs, we develop custom tools and software tailored to your specific data challenges and objectives. For both cost and quality reasons, we leverage open source software wherever possible.
Crafting Your Blueprint
Data architecture acts as a blueprint for an organization's systems and data flows, aligning data with business goals and technological needs. It takes a structured approach to define how data is collected, stored, managed, integrated, and used throughout its lifecycle. Building a data architecture is critical to successful data governance and data privacy work.
End-to-End Architecture Support
Our comprehensive services include analyzing and detailing your current systems, defining the components of these systems, designing a vision for future development, and producing comprehensive plans for the proposed systems. This ensures a clear path from the present state to an optimized future state of data management.
Data Modeling Goals
Data modeling confirms and documents an understanding of data requirements. Without data models it is impossible to communicate data requirements precisely. The process of data modeling is iterative and may include conceptual, logical, and physical representations. Most organizations likely have many standards already and many industries have established standard data models, e.g. ACORD in Insurance, ARTS in Retail or BIAN for Financial Services.
Relational Design
We start with a conceptual data model (CDM) design that captures both the structural and semantic requirements. These requirements can then be translated into detailed logical data models (LDM) and technology-specific physical data models (PDMs) for relational databases.
Data Warehouse & Dimensional Design
This service typically caters to zones of the data platform accessible to business intelligence and visualization tools. In these instances, we need to tailor data models to specific use cases.
Data Model Optimization
Reviewing and refining existing models for performance, scalability, and alignment with business objectives, including semantic accuracy.
Data Governance Framework Establishment
Our data governance framework is tailored to integrate seamlessly with your organization's unique culture and data strategy. We customize roles and responsibilities for data owners, stewards, and custodians. We bring process templates that offer a solid, adaptable starting point for implementation, complemented by our assistance in crafting and documenting data policies and standards that govern the entire data lifecycle.
Data Quality & Integrity
Improved data quality improvement increases trust in data, which results in better adoption of data products. We bring a data quality framework to all our engagements that include techniques and tools for data validation, cleansing, deduplication, and error-handling, to ensure the integrity and reliability of your data.
Customer Data Platform (CDP) Services
Our CDP services are tailored to empower marketing teams with a comprehensive, real-time view of customer interactions. We integrate data from various customer touchpoints into a centralized platform, enabling personalized marketing and enhanced customer experiences. Our CDP experience offers tools for data collection, processing, and analysis, facilitating targeted marketing, customer journey analytics, and personalized content delivery. Designed for organizations aiming to leverage customer data for marketing optimization, our CDP services enhance customer engagement and drive marketing ROI.
A Collaborative Approach
Data Operations (DataOps) increases the agility of your data team, while maintaining reliable and trusted data services that support business processes and goals. It emphasizes Agile delivery, continuous integration, and data pipeline/platform deployment. We offer varying levels of support based on your needs — from standard business hours to 24/7 coverage.
Data Platform & Pipeline Monitoring & Maintenance
All applications will, at some point, fail. Our team builds pipeline monitoring and observability tools to enable quick detection, correction, and rerun.
Continuous Integration/Continuous Deployment (CI/CD)
Establishing CI/CD pipelines to enable rapid, reliable data model and application deployment is key to Agile delivery. Our team works with yours to meet your deployment goals.
Collaborative Process Enhancement
We facilitate improved collaboration between data teams and other business units.
Data Management Tools
Thanks to our internal university and tech-agnostic approach, our teams can get started quickly with the right tools for the job.
Examples from past projects include:
- dbt
- Docker
- Apache Spark, Kafka, and Airflow
- Alation
- Terraform
- Jenkins
- Jupyter
Solution Accelerators
We have a suite of pre-built tooling to save your organization time and money. You'll find select examples below, get in touch to learn more about the full catalog.
Data Lake in a Day
Our own version of Infrastructure as code for Data Analytics, using open source tooling and built in a day.
BBI Spark Data Quality Framework
Data Quality assessment for structured and semi-structured datasets.
BBI Audit Balance and Control Database
Tool-agnostic framework to capture and analyze data pipeline metrics. ABC Database modeled to aid data reconciliation, exception-handling and retries.
Dremio Automation
APIs built to manage Dremio PDS, VDS, Reflections, Engines, Queues, and Data Masking; integrated into modern data virtualization architectures.
Schema Evolution Enabler
Apache Spark-based framework to enable schema evolution in a production environment.
Historical Data Processes
Robust big data processing framework built in Apache Spark for one-time population and automated validation of big datasets.
Recent Projects
Data Operations in Retail
A leading retail enterprise needed to modernize their data management, while migrating on-prem applications to Google Cloud Platform.BBI focused on achieving high availability, scalability, reliability, and maintainability of data components. The resulting framework leveraged a variety of Google Cloud tools to build and automated, secure system.
Data Management in FinTech
An online lending organization was separating its B2B and B2C data operations. They needed a modern data platform that enabled data-driven decision making and supported them as they scaled.
BBI successfully built a B2C platform that assessed customer credit-worthiness and modernized the client’s data systems for the future
Platform Modernization with Azure
A health data leader in a niche space required a custom data platform capable of generating accurate insights into patient care through data science and analytics
BBI designed a modern, cloud-native solution that supported product development and can easily scale for future initiatives.
Frequently Asked Questions
Why is BBI right for my organization?
The data ecosystem is full of hype and big promises — use x technology and be the best. We're not interested in hype or bragging rights, our organization's expertise has been forged over years of hands-on data management experience. We've been around long enough to know what matters, and what doesn't.
Our goal is your success, which means we operate with agility and flexibility — focusing on simplicity so we can pass those savings onto you.
Too often, organizations get lost in that hype forest. Let us be your guide, helping you scale without sacrificing operational efficiency.
How do I get started?
Contact our team at sales@bbinsight.com or click the meeting link below to set up a quick call. Once we have a better sense of your project, we'll arrange an assessment meeting to dive into your challenges and goals.
Based on the assessment results, we'll build a custom proposal for your organization for you to review. Each step will be collaborative and unique to your business — customer empathy is embedded into BBI.
What is your pricing model?
We work hard to maintain competitive pricing, priding ourselves on our high quality cost-effective solutions. Our proposals consider a wide variety of factors when determining price — project size, onshore/offshore resources, timeline, and more. Please get in touch for more details around pricing.