Category

Data Strategy

Fantasy Football and Analytics

How I Used Analytics to Almost Win my Fantasy Football League Last Year The 2019 NFL season started a few days ago, and along with it started many different types of Fantasy Football leagues. All participants, approximately 50,000,000, recently had…

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Embedded Analytics

The Case for Embedded Analytics Imagine the capability for your customers and partners to reach greater operational efficiency by spending less time on reporting and more time on their core competencies. Embedded analytics is the integration of BI with current…

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Data Hub Transformations

While dealing with data is a necessary part of any business, it isn’t always easy to work with. Oftentimes, data needs to be transformed or set up in a way that allows it to be grouped, aggregated, and filtered before…

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Ad Hoc Reporting: How to Implement It & Why You Should

Whether you’re a data scientist or a sales manager, you understand the importance of timely, accurate information. Additionally, you know how important it is to accompany your reports with succinct, clear, and easy-to-digest data visualization. Ad hoc reporting, in the…

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Everything You Need to Know About the Data Lifecycle

When data enters a database, one of two things can happen: it’s either scrubbed, organized, and used, or it grows stale and outdated. Data Lifecycle Management (also known as “DLM”) is the process by which organizations gather, store, and use…

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How to Visualize Exploratory Data Analysis

If you’re not familiar with the term “exploratory data visualization” or “EDV,” you’re in for a treat. We often think of data visualization as the final step in a data project or process. You’ve gathered, scrubbed, and organized your data…

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Data Analysis with iDashboards Expressions

When preparing data to be used within a dashboard project, some data analysis is usually required. Moreover, sometimes you’ll need to view figures in your dashboard that simply aren’t present in your existing data set. To solve this, you can…

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When Data Visualizations Mislead (And How to Prevent It)

There are numerous benefits to communicating important information through visualizations, whether it be rapidly processing information or gaining better understanding of trends in your data. Nowadays, you don’t even need a degree in Data Science to create compelling data visualizations.…

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Dark Data – The Blind Spots in Your Analytics

With an increased interest in big data, the amount of information that businesses collect has been steadily increasing over the years. In order to capture more data, companies are investing in technology and talent to leverage the value of this…

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Building Better Data Through Teamwork

For many people, the term “data scientist” is easy to associate with phrases like “charts,” “graphs,” and “crunching the numbers.” While a big part of data science involves just that, some aspects of the job are anything but scientific –…

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