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.
“We are changing our industry. I’m looking at these dashboards every day, uncovering new trends, and critical insights for our Air Medical crew." The Vice President of Strategy of an Air Medical Transpiration company shared these words of appreciation after leveraging a Power BI Air Medical Analytics solution created by the team of consultants at Fulton Analytics.
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.
In recent years, self-service analytics has been at the forefront of data-driven transformation. Data analytics platforms like Microsoft Power BI, Tableau, and Alteryx have enabled business users to take their own data and make data-driven decisions based on these insights. The job market has even evolved as companies prioritize the modern data analytics professional, focusing on data visualization and storytelling to provide insightful analytics and reporting. This is fantastic, of course it is. However, companies are starting to realize this creates new obstacles for data organizations. Here is where we find the true cost of this shift to self-service analytics.
