Shape your data systems to reveal insights that lead to exceptional outcomes.
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Data modeling is an essential component of designing data warehouses, planning IT structure and strategy, and supporting business processes.
A data model is a visual representation and an evolving documentation of the types of data in your system, the relationships between data points, and how it’s all organized. Data models are derived directly from stakeholders in response to questions about what they need to know from their data.
Just having data isn’t enough; your organization needs the architecture in place to glean actionable insights from it. Data modeling is a key piece to structuring your data to present the best insights to you. When you see the types of data your system uses and stores and understand the relationships between them, you can use them to fuel your business.
Data models are visual frameworks—the foundation for the analytics decision makers will use to propel business forward. Getting this structure right within your data warehouse is as critical as laying out the electrical system properly in a new sports and entertainment arena: it will dictate all your future capabilities. Done right, it’s scalable, adapting and growing along with your organization. But if you’re trying to fit an out-of-the-box solution into your particular situation, you’ll expend as much energy and effort as you would simply customizing from the start, and still find yourself up against limitations.
We’re proud to help organizations thrive, and we’d love to tell you more.
The Power of Data Modeling
Three levels of data models, differentiated by grade of abstraction, take the process from hypothetical to here and now.
Also referred to as Conceptual or Enterprise modeling, this is the broad view of how data will interact across the organization. It begins by specifying the main business needs then defining the most important objects and how they relate to each other.
Logical Data Modeling
This is the conceptual model zoomed in to the next level, where we denote how the specific technical details of the model will support each prescribed business function, connecting how definitive characteristics back business goals.
Physical Data Modeling
The equivalent of drafting your architectural design, here you’ll dig down into the granular level to map out database arrangement and how those databases will interact with features, applications, and each other.
We’ve helped clients build solutions to complex problems through data modeling as part of services like these.
Data Analytics Strategy
Data has no value until it serves your organization. Complex questions find answers and business goals become reachable with a strategy for optimizing your data, no matter your current data reality.
Data Analytics Solutions
Data solutions revolutionize how you manage your data by eliminating information gaps and unnecessary complexities surrounding your systems, enabling you to make better business decisions—while saving time and money.
We help clients plan, structure, and integrate their data to get actionable insights.
Data gets unruly fast and can make finding the answers that support your business strategy feel overwhelming. We help you achieve the outcomes you want through effective data collection, integration, and analysis tools that access reliable data quickly and present it effectively through an intuitive dashboard.
Advanced Data Analytics
Our data analytics team creates customized solutions that help you sort through the intricacies of your most complex challenges so you can spot patterns and predict outcomes that serve your mission.
See your potential by relying on predictive and statistical modeling to improve customer relationship management, prevent security breaches, or extensively test scenarios to more fully inform decision-making.
With smart data infrastructure, your organization becomes more efficient, collaboration improves, and productivity booms. Our team works with you to implement data infrastructure that reduces your operational costs and serves as a strong foundation for your data environment.
The ability to move data from one place in your organization to another facilitates communication. Data movement software lets you receive the information you need when you want it so you can locate and solve problems almost immediately.
Strategic Data Assessment
Discover gaps in how data is collected and how it supports or fails your desired outcomes. Through an objective process of discovery, analysis, and planning, a s strategic data assessment shows how data can do more for your organization.
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