Data Strategy Best Practices from DATAVERSITY To view the on-demand recording from this presentation, click HERE>> This webinar is sponsored by: About the Webinar Too often I hear the question “Can you help me with our data strategy?” Unfortunately, for most, this is the wrong request because it focuses on the least valuable component: the data […]
Eight Common Data Strategy Pitfalls
In the digital business world, organizations can’t take advantage of their data assets without a proper Data Strategy in place. The Data Strategy is the plan that enables an enterprise to meet its business goals through its data. Avoiding common Data Strategy pitfalls and creating a successful strategy empowers an organization to realize its mission […]
Data Governance Framework: 5 Key Elements
Like many roles and operations that have emerged in the digital age, Data Governance is often misunderstood. Some might confuse it with Data Management. Others might see it as an extension of IT. How can you communicate the role of Data Governance and ensure you implement it successfully? At DATAVERSITY’s Enterprise Data Governance Online event, data […]
Database Management 101
An important tool for organizations to ensure their data is stored, validated, and protected is database management. It is used to develop and deploy processes that end users are comfortable with. They can feel confident that the data is easy to work with, reliable, and accessible. It is important to make sure your organization’s data is […]
What Is Data Mesh?
Data mesh is a type of organization and architectural paradigm, or – in simpler words – a distributed architecture for Data Management. The goal is to provide accessibility by distributing the data in the way that the end user needs it. It allows teams to embrace a self-serve data architecture design where they can look at data as […]
What Is Data Profiling?
Data profiling is the process of analyzing data to get a basic understanding of what it contains. It examines the data in tables or columns to determine values, patterns, and anomalies distribution. It’s essential to Data Quality Management because it helps business users understand their data and decide whether it meets their needs. You can perform […]
What Is Data Integrity?
Data integrity is the totality of a dataset’s validity and consistency over its entire life cycle. In other words, it refers to the correctness and trustworthiness of data. It can be applied to any dataset, from personal information to business records. Data is valid if it contains only correct (accurate) information and can be trusted (reliable). […]
Data Lineage Demystified
Trusting big data requires understanding its data lineage. Without data lineage, big data becomes synonymous with the last phrase in a game of telephone. The original data from the first person (e.g., “a guppy swims in a shark tank”) changes to something completely different when it ends with the last person (e.g., “The puppy that […]
The Rise of Cloud Architecture
The rising popularity of cloud architecture signals a central theme: Global businesses in the coming years will migrate their data center operations fully to the cloud, as it offers some inherent advantages over on-premise set-ups. Business survival in the digital age has become synonymous with migration to the cloud. When businesses look for unlimited data storage and […]
Data Literacy Trends in 2023: Formalizing Programs
Data Literacy, the ability to explore, understand, and communicate with data, will significantly increase its role in organizations in 2023 and beyond. Companies will gravitate toward Data Literacy to get insights from big data and mobilize artificial intelligence (AI), a technology underlying a machine’s ability to learn from experience. Unfortunately, many businesses need to ramp up […]