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Webinar: Empowering the Data Driven Business with Modern Business Intelligence

  To view just the slides from this presentation, click HERE>> This webinar is sponsored by: About the Webinar By consolidating data engineering, data warehouse, and data science capabilities under a single fully-managed platform, BigQuery can accelerate computation, reduce data analysis costs, and streamline data management. Following in-depth interviews with a security services provider and a […]

Slides: Empowering the Data Driven Business with Modern Business Intelligence

Empowering the Data Driven Business with Modern Business Intelligence from DATAVERSITY To view the on-demand recording from this presentation, click HERE>> This webinar is sponsored by: About the Webinar By consolidating data engineering, data warehouse, and data science capabilities under a single fully-managed platform, BigQuery can accelerate computation, reduce data analysis costs, and streamline data management. […]

Data Management Trends in 2023

In a world driven by data, companies that are successful at extracting actionable insights through Data Management will be able to innovate more quickly, develop better strategies, and govern change more efficiently.  Data analytics, which has been completely overtaken by technologies like artificial intelligence (AI) and machine learning (ML), has emerged as a critical game […]

7 Top Data Quality Issues (and How to Fix Them)

Having Data Quality issues is a common – and costly – problem. According to Gartner, poor-quality data costs organizations an average of $12.9 million annually. Data Quality uses factors such as accuracy, consistency, and completeness in determining the value of the data. High-quality data can be trusted, while low-quality data is inaccurate, inconsistent, or incomplete. In […]

Data Modeling Trends in 2023: A Refresh

Data Modeling, the practice of diagramming Data Architecture and aligning core business rules with data definitions, will go through a refresh in 2023. Organizations will assess and make over their data fabrics, which describe distributed Data Management systems. Furthermore, managers and project teams will use data models to optimize business processes with their data assets and allocate resources to achieve […]