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ALETERIS cut our false positives by 42% without slowing down real fraud detection. Our analysts finally spend their time on cases that actually matter.
As expert engineers, ALETERIS knows the intricacies of data pipelines and analytics infrastructure. Well-engineered data is much more reliable than ad-hoc spreadsheets and manual reports; however it takes the right architecture to get there. We help our clients build the data foundation their decisions can actually depend on.
A solid data platform gives your company a foundation that is stable and trustworthy. Your company will be able to move faster and take on bigger initiatives once it has invested in proper data engineering, because it will have reliable, real-time data already in place. This is why ALETERIS helps its clients build structurally sound pipelines and well-governed data platforms.
Industries we serve
Financial Services
Retail & Consumer
Healthcare
Manufacturing & Industry
Energy & Utilities
Transport & Logistics
Data strategy & governance
Our data engineering programs will allow you to:
- Turn raw data into reliable, real-time decisions
- Attract and retain high-value, recurring enterprise clients
- Manage your data pipelines so your team gets more done in less time
- Hone sharp data governance practices to manage your platform
- Cut infrastructure costs without sacrificing data quality
- Automate your data workflows, so they keep running reliably day and night
Data platform architecture
You can transform your data into a decision-making asset that lets your team access what it needs, whenever it needs it.
Pipeline throughput improvement
Research beyond the data pipeline
Good data engineering starts with knowing exactly what data you have. Data discovery is the process of mapping your sources, understanding data quality, and identifying gaps. This process includes source system analysis and an assessment of the company’s existing data capabilities and constraints.
Good pipelines are the antidote to unreliable reporting. Pipeline engineering is the process of building the ingestion, transformation and storage layers that turn raw data into something usable. This process includes architecture design as well as an assessment of scalability and cost.
Good governance is the antidote to inconsistent data. Governance management is the process of defining ownership, quality rules and access controls across your data platform. This process includes monitoring, documentation and an assessment of the industry compliance requirements impacting your business.