Category

Data Strategy

Closing the Data Science Skills Gap

Data has become a mechanism both relevant and present across every industry. The context in which data is used and the awareness of how it is used is unique to each industry and individual organization, but its capability to drive…

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Five Solutions to Improve Business Efficiency

Efficiency is crucial in all business operations. However, to achieve optimal efficiency, several factors must be considered by organizational leaders.  Efficiency is fundamentally a result of the entire work system of a successful organization, which comprises of productive employees, proper…

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Data Ethics: 7 Tips You Need to Follow

With the increasing amount of data being captured and available to businesses, many have to learn to adjust their structure and be conscious of how they should and want to manage their information. However, with that much data, comes the…

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Understand the 3 Types of Analytics: Descriptive, Predictive, and Prescriptive

Data is becoming increasingly more available and present in the daily operations of businesses today. With data, comes analytics, and in order to drive more efficient decision-making, companies must consider various analytic solutions to discover what will allow them to…

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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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