Mike Sargo, Author at Data Ideology - Page 5 of 8

Managing the Organizational Dynamics

The increasing speed and pace of business contributes to several data challenges.

Driving Power BI Adoption

Deciding upon and getting the appropriate tools is only the first step of the journey to a successful adoption.

Five Tips for Getting the Most Out of Power BI

You bought Power BI. Now what? Deploying Power BI without the appropriate planning and preparation sets the organization up for several challenges down the road.

Scrum Master Best Practices to Accelerate Data Projects

Scrum is a Delivery Framework, under the Agile umbrella, that can accelerate initiatives, breakdown data silos, and bring organizations together as a team to progress any project. Individuals certified in Scrum are known as Scrum Masters.

Surprise! Payers’ Data Struggles with the No Surprises Act

In late December of 2020, bi-partisan legislation known as the No Surprises Act was passed by the U.S. government. The main purpose of the bill is to eliminate surprise medical costs for out-of-network services.

A Business Analyst View: Transforming Data Inventory into Rich Visuals

One of the best practices learnt during my military service and applied to my Business Analyst career was the importance of collaborative outreach and thorough communication with key stakeholders.

Don’t Let Technical Debt Bankrupt Your Data Foundation

Technical debt is commonly described as efforts deferred for the purpose of meeting deadlines or goals that will later need to be revisited and reworked for the final state product. It’s a tradeoff between gaining short-term benefits while sacrificing long-term value and overall efficiency.

Why do you need a Data Strategy now more than ever?

With increasing globalization and technology developments spurring modern economics, Data Strategy has been vital in identifying and understanding customers.

Data Modeling Best Practices

A data model enables you to make decisions based on facts instead of educated guesses. However, the value goes far beyond that. With data modeling, you’re easily able to store and access information that will benefit you and your organization.