Dave Mariani

December 6, 2022

How analysts consume data is a key factor in determining how quickly, accurately, and efficiently stakeholders can make data-driven decisions. Without the ability to freely and speedily share data insights, it can take a lot of time, effort, and expertise…

November 17, 2022

The number of data analysts at your organization is a limiting factor that determines how many stakeholders are able to make data-driven decisions. To make better-informed decisions, organizations need to increase the number of people with the tools and expertise…

November 10, 2022

Effective data storytelling is essential for turning insights into impact. But how do you craft a story that truly drives action? Developing an analytics-driven culture is a gradual process that is strengthened over time through purposeful and effective data storytelling..…

November 1, 2022

We recently hosted a virtual Semantic Layer Summit with our friends at Snowplow, Databricks, DAS42, and InterSystems. During the event, we gathered data leaders and top industry technologists to discuss the importance and impact of using a semantic layer for…

October 25, 2022

I recently spoke with a roundtable of data and culture industry experts about how to foster an analytics-driven culture to drive more actionable, valuable insights. We discussed how organizations can become data leaders, the importance of change management, and why…

October 13, 2022

I recently held a panel discussion with leaders in data management to discuss ways to improve data accessibility across any organization. Our discussion centered around the idea that it’s time to move beyond descriptive and diagnostic insights — reviewing what…

October 4, 2022

More than a decade into the big data era, data quality is still the top obstacle for data teams. Over 56% of data professionals cite poor data quality, incomplete, inconsistent, or outdated, as their most frequent challenge, and that instability…

September 8, 2022

In my talk with AI Evangelist, Ben Taylor, we discussed how to use a Semantic Layer and augmented intelligence (AI) to bridge the gap between AI and business intelligence (BI) teams to drive business impact.  DataRobot is a powerful enterprise…

August 11, 2022

I recently hosted a live customer webinar with a Forbes Top 50 FinTech company that uses AtScale to support their data science initiatives. Trumid’s senior data engineer Colin Reid joined me to share insights into the problems his team is…

June 30, 2022

Dimensional modeling is a technique for organizing data into facts (the metrics you measure) and dimensions (the context around those metrics), enabling faster, easier analytics. The semantic layer sits above the dimensional model and translates your business rules into consistent…

June 28, 2022

I hosted another round of interviews last week with data leaders about generating actionable insights and improving data analytics. We discussed the importance of building a data-driven culture, measuring the success of data analytics initiatives, and how to overcome the…

June 23, 2022

Despite having a billion users, Excel is not always thought of as a business intelligence (BI) tool. Yet Excel remains by far the predominant BI consumption platform in enterprise data because its formulas and functions make it a powerful tool…