Episode 6 of 6 in our Data Architecture Series

In this episode, we conclude our discussion on data warehouses. 

As technology costs continue to drop, small and mid-sized businesses are now in an excellent position to invest in these solutions. 

We explore key considerations, including costs, potential risks, and strategies to avoid common pitfalls. 

Tune in to discover what to keep in mind when making data solution decisions—and how these choices can shape the future success of your business. 

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Episode 5 of 6 series in our Data Architecture series.

With this episode, we near the end of our 6-part series on data architectures and dive into our first discussion on data warehouses. 

As the most popular method for storing data for reporting and analytics, data warehouses play a crucial role for growing businesses. However, there’s ongoing debate about what exactly defines a data warehouse.

In this episode, we break down what a data warehouse is, explore how it differs from other architectures like data lakes, and discuss two common approaches to building and using them. We also weigh the pros and cons, giving business leaders a clear understanding of how data warehouses can support their goals. Tune in to gain insights into why this architecture matters and how it can benefit your organization.

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Episode 4 of 6 in our Data Architecture series.

Welcome to the 4th episode in our 6-part series, where we dive deep into the world of data architecture, breaking down why it matters and how it impacts your business. 

This week, we’re shining a spotlight on Operational Data Stores, or ODSs—an often-overlooked architecture that can provide real-time insights for faster, more effective decision-making.  But here’s the catch: "Operational Data Store" means different things to different people, and the terminology can get confusing fast. 

In this episode, we unpack both the advantages and limitations of ODSs, showing you where they can drive value and where other solutions might be better suited.

Whether you’re looking to streamline reporting, integrate data sources, or just understand the building blocks of a sound data strategy, this episode is full of valuable insights to help you make informed choices.

Tune in to learn how ODSs could fit into your data architecture journey and the key factors to consider when planning your next steps!

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Episode 3 of 6 in our Data Architecture series.

Ready to level up your data game? 

If your transactional system isn’t providing all the insights you need, it might be time to explore more powerful ways to extract information from your data. 

In today’s episode, we discuss the simplest way to store data in a database and introduce two essential concepts in data architecture: the persistent staging area (PSA) and staging. 

We’ll dive into why these methods matter. 

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Episode 2 of 6 in our Data Architecture series.

Like many things, data architectures can range from simple to highly complex. 

In this episode, Paul and Alex explain what "simple" means when building a reporting and analytics solution for your business. 

The advancement of business intelligence (BI) tools make system of record (SOR) reporting much more feasible than in the past. You can connect multiple systems to a front-end presentation layer tool. But at some point in your growth you will find that you can't get away with this any longer.

However, it may be worth it to start with a simple architecture that delivers a quick win for your organization, even if you know this system may only be sufficient for a year or two. Your organization can see the value of your solution and grow from there.

Tune in as we dive into system-of-record reporting and how it can give you a quick advantage.

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Episode 1 of 6 in our Data Architecture series.

Paul and Alex start a series of conversations about the importance of data architecture. 

While business leaders at growing companies may have limited time to focus on technical issues, Paul and Alex demonstrate the significant value in understanding how different system designs affect outcomes. 

They discuss what to consider when building a data solution, showing how a basic understanding can help business leaders gain an advantage.

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Business is all about staying ahead of the competition. Can data give you a competitive edge?

People and the decisions they make determine a company’s success. In today’s world of information overload, a data-driven culture is essential to successfully compete.

How does data inform your team members’ decisions?

If you are thinking about how to leverage data to outsmart the competition and foster long-term success, tune in to this episode!

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Your data, your choice—where you store it is up to you. 

While cloud vendors often make compelling pitches, their services come at a cost, and the truth is, it can add up quickly. 

For mid-market businesses, every dollar counts, and decisions about using the cloud for data storage, infrastructure, computing, integration, and analytics can have a major impact. There is a lot to consider, including cybersecurity.  

In this episode, join Paul and Alex as they delve into the key factors to consider when evaluating solutions and making smart spending decisions for your business's data needs. 

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Think data solutions are only for big enterprises?

Think again. 

This episode explores how small and mid-sized businesses can build effective data systems without breaking the bank. 

While technology prices are dropping, overall spending continues to rise—especially in the world of data. Increased data volumes play a role, but there’s more to the story. 

Join us to discover why you might be overpaying to store and process your data, and how cloud technology, while convenient, can be more expensive than you might expect. 

Tune in to learn how to get the most value from your data investments. 

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How do you measure the value of a data solution? 
How much is a dashboard really worth to your business? 

ROI, or return on investment, is the go-to metric for evaluating the viability of capital projects. But how does it apply to data projects? 

While data pipelines and dashboards may not directly generate revenue, they’re crucial for organizing your team to drive growth and improve performance. 

Does the organization have the metrics or KPIs to make good decisions?

In this episode, Paul and Alex examine the challenges of justifying investments in data technology and how to measure their true value.

Interested in being a guest or have a suggested topic?
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