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Blog Posts: Methods & Practices

Over the last ten years, dashboards have become a crucial asset in the analytics space. Stakeholders want dashboards built for limitless reasons; analysts and managers rely on them for daily insights; and the dashboard vendors (such Tableau and PowerBI) assert…

It’s no secret that one COVID trend that will remain is that of at least partial remote work arrangements for many professionals. In recent months, there has been a push for employees, including analytics and data science teams, to come…

Scrum Guide: “Scrum is a lightweight framework that helps people, teams and organizations generate value through adaptive solutions for complex problems.” Scrum has been super for many years. I’m amazed by its success in marketing; it’s like the Kardashians of…

Delivering an effective data-driven presentation to a live audience isn’t the same as discussing technical details with peers or compiling a written document. This is especially true when, as is often the case, the presentation is for a largely nontechnical…

Read below for a roundup of interesting sites, resources, and articles from around the web, curated and contextualized by unbiased analytics experts at IIA. Highlights include articles about the importance of an effective data strategy; the key mindsets that differentiate…

A significant amount of both media attention and venture capital money has recently been given to low-code and no-code tools that focus on the areas of analytics, data science, and artificial intelligence. This blog will review the value propositions of…

Understanding How Oil & Gas Companies Can Leverage Data as One of Its Most Valuable Commodities. The Oil & Gas Industry (O&G) is fundamentally based on the ability to explore, locate, and extract valuable assets from the ground. In the…

If you’re struggling to solve human problems with data, the mindset of your analytics org may be the problem. If your team is highly technical, "soft skill" stuff probably feels like BS. Users are mostly in the way of getting…
It is natural to get excited about the prospect of building and deploying an interesting and high impact new data science process. Unfortunately, you have to also put effort into some less exciting aspects of such an endeavor. One item…