Managing the entire lifecycle of your data — from ingestion and engineering to analytics and machine learning — can be overwhelming, especially when you’re dealing with fragmented tools, inefficient pipelines, and complex workflows. The Databricks Lakehouse architecture simplifies this by combining the flexibility of data lakes with the performance of data warehouses into a unified…
Before selecting a business intelligence (BI) tool for your analytics needs, you need to understand how they work, how they differ, and the value they can bring to your business. This blog offers a detailed BI tool comparison to help you make an informed decision. As interest in building a modern data stack has increased,…
In this blog, we delve into the five key components of the BI and Analytics Tool Evaluation Framework which guides organizations through the nuanced process of choosing a tool that aligns with their unique needs and objectives. Selecting the right BI or analytics tool can be a challenging endeavor — there are many great options…
How many times have you or your data teams created solutions that go completely unused after a month or two — doing nothing more than collecting dust? You’re left wondering, “How can I have more confidence in the ROI of a data solution? How can I build it to ensure it gets used and delivers…
In this blog, we discuss the merits of dimensional data modeling in the modern data stack given technology advancements in recent years. We dive into how to think about dimensional data modeling in context of defining requirements for analytics specifically. Technology in the data and analytics industry has taken giant leaps forward, leading many organizations…
In this blog, we take a deep dive into three best-of-breed platforms within a modern data stack—BigQuery, dbt, and Looker—and explain what benefits this data stack can bring to your organization, and why you should consider making the switch. As a data professional, it can be daunting—exhausting even—to keep tabs on every tool that currently…
In this blog, we will define both managed services and serverless technologies and explain the key differences between the two. We will also provide use cases for each to help you decide how to best use each to meet business goals. You have moved your data and analytics workloads to the cloud—or likely will soon—and…
In this blog, we define reverse ETL and discuss what makes it different than traditional ETL. We provide practical use cases for reverse ETL to show how it can benefit your organization, along with best practices when using this process. You put a lot of work into cleansing, consolidating, and governing your data to make…
Most modern analytics solutions — Power BI, Looker, Qlik, Tableau, and Sigma — have embedded analytics capabilities. We explore what makes these platforms different and how to best work within each to build an embedded analytics solution. Many of our clients ask about embedded analytics — often in the context of monetizing their data. It’s…
How do you get more value from your analytics solutions and build a better data experience for your business users? Here are some tips on how to get started. The speed at which businesses gain insights and make decisions with their data is more important than ever. But it takes an effective means to make…
Using embedded analytics to create an economic vitality dashboard allows Civic Consulting Alliance to further their impact within the Chicagoland area. Rooted in Chicago’s history since 1877, Civic Consulting Alliance was officially formed in 2005 and has since steered nearly $200 million in collaborative pro bono investments toward building safer communities, ensuring equitable access to…
The role analytics plays across organizations has evolved—and it’s the modern data stack that’s responsible for entering analytics into a new era. I recently sat through a presentation in which a key section was highlighted: “Data Visualization is Dead”. The notion that data visualization, business intelligence, or the dashboard itself is a dying medium has…
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