Data Ideology, Author at Data Ideology - Page 4 of 4

Data Ideology Achieves Prestigious WBENC Certification as a Women-Owned and Operated Business

Data Ideology in Pittsburgh, PA, was certified as a Women’s Business Enterprise by WBENC on January 30th, 2024. This recognizes the company’s female leadership, majority women ownership, and commitment to diversity, opening new partnership opportunities.

Assessing the Impact of Data Silos – Part #2

Data silos harm mid-market businesses by lowering information quality and causing delays and inconsistencies. This post highlights the importance of acknowledging these issues to enable strategic solutions. It suggests moving towards a collaborative culture to break down silos, turning fragmented data into a unified resource that boosts efficiency, innovation, and competitiveness.

Understanding Data Silos – Part #1

Data silos, prevalent in mid-market businesses, result from segregated information, causing inefficiencies and impeding collaboration. Rooted in outdated systems and disjointed organizational structures, these silos negatively impact decision-making and growth. Addressing them requires fostering a culture of openness and integrated data management to improve information flow and organizational efficiency.

Strategizing Healthcare Business Intelligence: A Guide for Hospital System CIOs in 2024 and Beyond

The Imperative for Advanced Healthcare Business Intelligence In a time where data reigns supreme, the role of business intelligence (BI) in healthcare has never been more critical. The hospital system Chief Information Officer (CIO) stands at the forefront of this transformation, responsible for navigating the intricate landscape of data analytics to drive superior patient outcomes […]

Enterprise Data Architecture

Data Architecture For The Enterprise Overview Many organizations that I get to interact with are starting to think about what is important to them as they transition towards a modern data architecture. All organizations, regardless of size, industry, geography, and use cases, should understand data architecture best practices and the advantages of developing a formal […]