Data Management Services //

Solving Your Most Complex Data Needs

real time data streaming

We provide expert solutions for Data Warehousing, Real-Time Data Streaming, Business Intelligence, Data Science, Outsourced Product Delivery, & Master Data Management

For over 10 years, Waterloo has focused exclusively on providing enterprise data management solutions for customers in Healthcare, Financial Services, Media, Software, and Real Estate.

How We Can Help

data assessment roadmap definition

// Data Strategy and Roadmap Definition

“If you don’t know where you are going any road can take you there.” – Lewis Carroll, Alice in Wonderland

Everyone of our projects starts with a Data Strategy and Roadmap Definition phase. During this phase we meet with our client stakeholders to understand their analytical objectives, profile their existing data sources, develop an understanding of their current technology, and then develop a roadmap that addresses the organizational changes necessary to move from their current state to their desired state. Typical activities during this phase include creating a gap analysis of current vs. future capabilities, providing technology recommendations, providing team development recommendations, and developing estimated timelines and estimated budgets.

data architecture engineering

// Data Architecture and Data Engineering

The majority of the work that we provide for our customers consists of Data Architecture and Data Engineering services. Data Architecture largely consists of designing database tables, designing data file systems for storage, and designing data marts for ad-hoc reporting and data exploration. Data Engineering consists of developing data integration pipelines for combining data across internal and external data sources, incorporating business logic to clean and normalize the data, and automation of these pipelines so that data is automatically refreshed according to the needs of the business. The incorporation of automation to “stage and prep” the data for analysis delivers tremendous benefits to the organization and is one of the “low hanging” opportunities we attempt to solve early.

custom reporting analytics company

// Custom Reporting and Analytics

Some of our clients already have mature and robust data management systems in place and are in need of customized analytics to meet their needs. In some cases, this means using existing business intelligence tools like Tableau, PowerBI, Looker and others to create reports and dashboards. In other cases, we are using tools like Python and other platforms to build advanced analytics to support machine learning, predictive analytics, and natural language processing. These solutions cover the full range of analytical capabilities from operational reporting to exploratory data analysis to simulation and optimization.

austin data warehouse management company

// Data Warehousing

Our roots in Data Management go back to the mid 90s when we were in the midst of the first wave of enterprise data warehousing. Over the last 25 years we have seen a renaissance in the tools and technologies that are used for data warehousing. In fact, there have never been so many vendor options to consider when building a data warehouse. We are vendor agnostic when it comes to data warehouse technologies and have deep expertise with all the leading solutions including Snowflake, Microsoft, Amazon, Google, and others. Let us help you make informed decisions on which tools and technologies are the best fit for your requirements and help you avoid costly mistakes and risks surrounding your data warehouse implementation.

master data management

// Master Data Management

Master Data Management (MDM) is a technology supported discipline where business and IT leaders work together to ensure the uniformity, accuracy, stewardship, consistency, and accountability of an organization’s official master data assets. Master data includes employee records, customer records, patient records, parts inventories, equipment, materials, etc. Achieving competence in MDM is a combination of having the right tools in place to support a master data management hub for the organization as well as having supporting business processes in place for standardization, data quality, and ongoing data stewardship. Successful MDM programs help organizations achieve a “single version of the truth” across its most important data assets.

commercial product development

// Commercial Product Development

We have built complete turn-key commercial analytic platforms for several large clients in media, gaming, and healthcare. Building a commercial analytics solution is significantly different than building an internal analytics solution. For example, in the case of providing a hosted analytics solution for external customers, greater focus must be placed on data security so that Customer A doesn’t see Customer B’s data. There are also more complicated requirements to support when it comes to publishing and releasing “canned” content in the form of reports and dashboards you want to make available to all of your customers, versus not breaking any of the custom content that your customers have developed in their own instance. Time to market is also another important consideration, thus forcing “build vs. buy” decisions in planning the features of the system.

Cloud Migration

// Cloud Migrations

Nearly every solution we deploy for our customers is based on a hybrid cloud topology where we are having to create a secure and seamless experience across on-premise, private/public cloud, and third party SaaS environments.  We work closely with our client security and infrastructure teams to ensure that we are aligned with their best practices and make recommendations where appropriate.  We are strong advocates for an infrastructure as code approach, and are highly proficient in security best practices and dev ops automation via Terraform, Docker, Kubernetes, etc.  We have also developed custom libraries that solve some of the intractable challenges associated with applying on-premises Active Directory credentials across disparate applications and services. AWS, GCP, Azure….we have real world production experience across all of them.

Are you ready to take your analytics to the next level?

Let's Talk