Cloud-based, on-premises, and hybrid–we build secure and flexible data architectures to serve as the foundation you need to take advantage of all of your data.

What is the Modern Data Stack?

Your data architecture plays a crucial role in your approach to data management. We outline how to build a data stack that will help you solve the data problems you face today and also scale to meet new demands over time.

Objectives

Our approach to Data Management focuses on the enhancement and efficiency of data practices at each stage of the data lifecycle – from the time it is created and stored, to when it is transformed and analyzed, to the time it becomes obsolete and is archived or deleted.

Data Management Strategy

All data requires some management to turn into valuable information—but not the same level of management. With a data management strategy, we help classify data and define the level of management needed so that it turns it into valuable information consistently over time. We will help you avoid paying more than what’s needed for that valuable information.

Data Architecture Assessment

From the time data is created to the time it’s analyzed and archived, there are opportunities to maximize its business value. In this assessment, we’ll review each stage of your data lifecycle to ensure valuable information is created repeatedly at scale.

Data Architecture

We design agile, modular, and scalable solutions that serve as the foundational hubs to all data and analytics needs. Our modern data architecture services include: designing data warehouses, data lakes, and data lakehouses; data modeling; data security; data storage solutions; cloud, on-prem, or hybrid architectures, master data management, and health checks.

Cloud Services

We build and deploy cloud-based solutions for all data and analytics assets. We can help with cloud readiness assessments, initial cloud platform standup, solution architecture in the cloud, data migration to the cloud, cloud serverless solutions, platform security, platform health checks, and cost optimization.

Data Integration & Data Engineering

We develop, manage, prepare, transform, and deliver data flows and integrations to enable analytics at scale. We specialize in data integration and data pipelines, data preparation and enhancement, ETL/ELT, health checks, proprietary/open-source solutions, and data quality.

Data Governance

We will help you take a democratized approach to data governance so that your data governance framework isn’t over-engineered and integrates naturally into your business processes, leading to higher user adoption and quicker results.

Data Quality & Data Security

We will help you identify the people, processes, and technology to put in place so that you can streamline data cleaning efforts and prevent bad quality data from being created in the first place so that your data and analytics systems are secure and trustworthy.