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Organizations realize the tremendous benefits associated with getting data into the hands of everyone who needs it, while moving the data closer to the point of action.

A centralized data warehouse can serve the needs of numerous business units simultaneously.

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

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.

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.

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.

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.

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

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.

Data decay is a pervasive problem in many industries that can lead to frustrated customers and a lack of trust in a business.

If data is the new business currency, then predictive analytics are the means in which organizations can take control of that currency to maximize its benefits.