Data Architecture

Q: Is data architecture something you can plop into my systems?

Not that simple.Data architecture is a combination of technologies designed to solve specific problems. Our team has competence in many different tools, so we can help you combine them to meet your needs.

How can you answer questions about the business with siloed data?

We design and build data architecture to help you connect information with the right tools and generate insights to improve decision-making.

"Collectiv’s expertise in our transition to a modern cloud data architecture has been invaluable."

Matt Ambuehl

BBQ Holdings

Create a Clear and Cohesive Picture With Data

Having data centralized in the right place allows you to efficiently model the relationships, perform analytics, and generate insights automatically and at scale.

Our experts help you build the right data architecture so everyone in your organization can access the data they need to perform at a high level. Even your non-technical teams will be empowered to make better, data-driven decisions.

The Collectiv Approach to Data Architecture

Instead of a predefined process, our experts meet you where you’re at—whether you need help figuring out your architecture or already know your requirements and need us to deploy and optimize.

1. Understand your business needs.

Our Visioning Program provides strategic consultation to help you formulate, refine, and game-plan your data vision for success. We bring our wealth of industry experience and technical expertise to solve highly complex infrastructure challenges.

2. Untangle the complexity.

Once we define your vision, we identify data sources and design architecture to support and streamline your data processes. We create a strategy to align with your objectives, priorities, budget, and timeline.

3. Design the data architecture.

Many people throw good money after bad because they don’t have the right tools to support their vision and architecture. Not with us. While we often recommend the Microsoft Data Stack and Azure Data Factory, we’re also experts in Python, Snowflake, and Databricks.

4. Add BI and reporting capabilities.

Timely reports and visualization empower business users to turn data insights into action. Our Power BI experts help you build and automate reporting so everyone in the organization can access the data they need, whenever they need it.

5. Support updates and maintenance.

Even resourceful organizations struggle to keep up with the ever-evolving BI and data architecture technology landscape. You can stay agile with Dedicated Support, which gives you exclusive access to our team of experts.

What is data architecture, and how does it work?

You probably have a wide range of systems throughout your organization, like your CRM, ERP, and financial systems. Data architecture centralizes these various data sources to support the efficient storage, management, and access to data and insights.

How It Works:

Centralization: Data from different sources is centralized into a data lake, which can store raw data in its native format.

Structuring: The data is then structured into a data warehouse using tools like Azure. This process involves organizing data into a schema that facilitates efficient querying and analysis.

Access and Analysis: Analytics tools like Power BI can be layered on top of this architecture. These tools enable data visualization, reporting, and advanced analytics, including AI initiatives.

The goal is to democratize data, making data accessible across all departments so teams can easily leverage data-driven insights for enhanced decision-making.

Is data architecture something you can plop into my systems?

Not that simple.

Data architecture is a combination of technologies designed to solve specific problems. Our team has competence in many different tools, so we can help you combine them to meet your needs.

If we work with Collectiv, do we need to commit to using Azure or other Microsoft technologies?

While Azure is great for many enterprise teams because it strikes the right balance between user-friendliness and access to advanced features and customization options, we’re by no means a one-trick pony.

Besides Microsoft, we’re competent in Python, Databricks, and Snowflake so we’re well-equipped to build the best solution. We may use multiple elements from Azure or combine your existing on-prem applications with some cloud services.

A great starting point when designing your architecture is Collectiv’s Visioning Program. Through Visioning, we’ll help you choose the right tools for the job or figure out the optimal way to work with your existing architecture.