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3 Key Benefits of Pragmatic Data Modeling

In 2024, companies have developed a renewed interest in the benefits of Data Modeling, engaging in pragmatic planning and activities around diagramming requirements. Organizations want to document data architectures to get good Data Quality and overcome challenges.  Notably, the resolution to each data incident has risen significantly by 15 hours between 2022 and 2023. Furthermore, 80% of data executives and business leaders say cultural impediments […]

Data Strategy Trends in 2024

In 2024, organizations must embrace a good Data Strategy, a reliable touchstone created by an organization for businesspeople in their data-related endeavors and support its evolution. Executives face mounting pressure to swiftly adapt to a dynamic marketplace and demonstrate tangible impacts…

Data Quality vs. Data Enrichment

Data Quality (DQ), the degree of business and consumer confidence in data’s usefulness, remains a sticking point to getting business insights and managing risk. According to recent research, it takes an average of 15 hours to resolve a given Data Quality issue or incident, and in 2024 and beyond, 25% or more of revenue will be […]

Data Modeling Trends in 2024

Expect an increase in business-driven and elegant Data Modeling – the plans, and activities around diagramming requirements for data architecture. These Data Modeling trends will gain traction as budgets for newer projects decrease and mandates to improve Data Quality increase, as resolution to each data incident has risen by 15 hours between 2022 and 2023. Stakeholders clamor for returns from AI after investing heavily, […]

Conceptual vs. Logical vs. Physical Data Modeling

Businesses face lightning-fast and massive data growth “at a time when analytical capabilities cannot even come close to meeting them,” said Dr. Peter Aiken at his recent Data-Ed webinar, “Conceptual vs. Logical vs. Physical Data Modeling.” An acknowledged Data Management authority and president of DAMA International, Aiken explained that a lack of understanding and documentation of a company’s Data […]

Data Governance vs. Data Management

When managers and workers discuss Data Governance (DG), a business program that supports harmonized data activities, vs. Data Management (DM), a comprehensive collection of practices, concepts, and processes dedicated to leveraging data assets, they often use the terms interchangeably. Sometimes, both words point to the same concepts, and these conversations remain productive. At other times, switching between […]

Data Visualization Best Practices

Good data visualizations boost business data literacy by presenting well-thought-out dashboards or reports that show data assets for quicker and more straightforward consumption. Following data visualization best practices leads to positive outcomes for organizations. These benefits include reducing the time and costs of questions data consumers ask by answering them up front in the data visualizations. Additionally, good visualizations increase consistency […]

Getting Executive Buy-in for Data Management

Within the last several years, the marketplace has shifted from industrial-produced to data-based. Consequently, many companies have a strong drive to become data-driven, from financial firms to nonprofits. Yet, when C-suite managers and others discuss making money from data, they see the face of data analytics and Data Science. These conversations miss the Data Architecture and Data Management fundamentals […]

Core Data Concepts for Digital Transformation

Without a clear understanding of core data concepts, communications around implementing an organizational Data Management initiative can become a muddle. As different teams come together to plan and organize data activities, they must integrate what they mean about data with any technologies. For example, take the term “Data Governance.” Data engineers building systems and tools to enable […]