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…
Do you feel overwhelmed trying to keep up with the latest technologies and tools in the data and analytics space? Are you investing in data initiatives that aren’t delivering the results you desire? It can be tempting to chase after the newest solutions in the market, but it’s important to remember that the timeless principles…
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…
Before you jump on the bandwagon, start by understanding what a data mesh is and if it is right for your organization. If you don’t understand how and when to apply key concepts, you’ll quickly go from data mesh to data mess. In this blog, we will explain what data mesh is and who should…
In this blog, we discuss the challenges that can arise after a merger or acquisition and why you should prioritize data and analytics to ensure a successful deal, as well as how to develop a plan to integrate and centralize data after the M&A activity finalizes. Integrating data after an M&A transaction will not only…
In this blog, we define data observability and discuss the activities needed to improve data quality and proper flow and use of data within your organization. We also go over tools you can use and best practices to get started with data observability. It is impossible to run a successful organization without access to high-quality…
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…
According to Gartner, “Data and analytics can be a valuable business asset that will not only improve business decisions and drive digital business transformation, but even generate new revenue for your organization.” Whether they realize it or not, most organizations can monetize their existing data. It starts by identifying the data’s value-add to a new audience….
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…
Bad quality data results in bad decision-making. So, how do you ensure data is sufficiently clean for your specific business needs so that you can make better, more informed decisions? We’ve all been there before—you run a report and realize half the data is garbage. It doesn’t inform good decision-making, and worse, you’ve spent valuable…
A private equity (PE) firm’s portfolio is vast, and so are the different business problems of each company within it. Adopting a modern approach to data and analytics can help address the unique challenges PE firms face now and in the future. Private equity (PE) firms are always on the lookout for new investment opportunities,…
There are many tools on the market to help your organization transform data and make it accessible for business users. One that we recommend and often use dbt—focuses solely on making the process of transforming data simpler and faster. In this blog we will discuss what dbt is, how it can transform the way your…
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