Learning Power BI can be a challenge - not due to a lack of resources, but because of the multitude of options available. Courses from Udemy, EdX, and LinkedIn Learning are great for learning the basics, but they leave a lot to be desired when it comes to solving tangible business problems.
Artificial Intelligence
Each New Year brings a fresh excitement in the data analytics industry. However, this year is shaping up to be transformational for many organizations across the Data & AI landscape. As we wish each other a Happy New Year - I have a hunch this year will be filled with Data & AI adventure, sweeping transformation, and dare I say some unpredictability. In this article, I’ll outline 25 Data & AI Trends to Watch This Year.
Power BI
On this day in 2015, Microsoft gave birth to one of the most powerful data analytics platforms of the past decade. In many ways, it has reshaped the data analytics landscape as we know it. Over the years, I’ve had a front-row seat to watch the platform evolve. I’ve worked alongside some wonderful clients and been part of hundreds and hundreds of Power BI projects.
Power BI is easy to use. Hard to master. And even harder to enable across an organization. Organizations have become great at building Power BI reports - yet continue to struggle to drive end-user adoption and enablement.
These words came from the mouth of a VP of Transportation for a refrigerated tucking company based in the Midwest. Fulton Analytics’ team of data experts led a small Data Strategy engagement to navigate some challenging conversations around cultivating a data driven culture in a complex organization.
If you thought data fabric was just another data buzzword - you might want to think again. It appears a modern data fabric is in fact here to stay and will be foundational technology in most organizations’ AI innovations. A data fabric is a fully integrated layer of connected data and processes across a unified ecosystem.
