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Reading Time: 2 minutes In today’s data-driven landscape, the integration of raw source data into usable business objects is a pivotal step in ensuring that organizations can make informed decisions and maximize the value of their data assets. To achieve these goals, a well-structured…
Reading Time: 3 minutes One of the biggest frustrations across the board in healthcare and clinical research is poor quality data. High quality data is essential for clinical trials, as well as for improving healthcare for patients. But all too often, clinical researchers are…
Reading Time: 2 minutes Organizations are always on the lookout for ways to make better use of their data. Enter data products—these curated, reusable data assets are designed to meet specific business needs, and they’ve now become essential tools. With Denodo Platform 9, the…
Reading Time: 3 minutes The business value of applying data science in organizations is incontestable. Prescriptive and descriptive models can help improve business and decision making processes. Data science work can be divided into analytical and data preparation work. Examples of data preparation activities…
Reading Time: 4 minutes What do data virtualization, streaming, and extract, transform, and load (ETL) processes have in common? They all deliver data from disparate sources to the business intelligence (BI), analytics, and other applications used by businesspeople, data scientists, and analysts. Like utilities,…
Reading Time: 3 minutes I have long been an advocate of integrating data quality techniques as a core component of an organization’s end-to-end data processes. When I began evangelizing data quality management about twenty years ago, the common practices for data quality involved post-processing…
Reading Time: 3 minutes The European Union’s General Data Protection Regulation (GDPR) will come into effect on May 25th, 2018, and all businesses that serve European Union customers will be required to comply. Companies that fall short of compliance with GDPR will be subject…
Reading Time: 4 minutes Complex questions that need simple … but not simplistic … answers. Update: make sure you also read the second part of this content. Data Virtualization Performance and Source System Impact (Part 2) Within sixty seconds into a data virtualization conversation,…
