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Reading Time: 3 minutesA deep dive into All Things Data with Ravi Shankar, Senior Vice President and Chief Marketing Officer at Denodo, with a special focus on data virtualization as the accelerator of cloud migrations. Listen to “Is Data Virtualization the Secret to…
Reading Time: 3 minutesThe pandemic has forever changed the way we live and do business. Practically overnight, organizations have been forced to adapt by modernizing their data architecture to support new types of analysis and new ways to connect to data. To gain…
Reading Time: 2 minutesPublic and private organizations around the world are opening doors to their data, and to data geeks like me, this is a very good thing. Data that was once locked within inaccessible corporate databases, flat files. or perhaps even spreadsheets…
Reading Time: 3 minutesUber owns no fleet, and Airbnb owns no real estate. These and other companies have grown very quickly, with relatively little investment, by establishing thin customer-interface layers above complex systems of goods or services owned by third parties. Point is to…
Reading Time: 2 minutesIf we look at a typical data science lifecycle, many of its stages have more to do with data than science. Before data scientists can begin their work regarding data science, they often must begin by: Finding the right data…
Reading Time: 2 minutesCredit Agricole is one of the world’s largest cooperative financial institutions, with operations in more than 50 countries and providing a diverse set of financial services including retail banking, cooperative banking, investment banking, private banking, wealth management, and asset management….
Reading Time: 4 minutesThe phrase “The true voyage of discovery does not consist in seeking new lands, but in having new eyes,” extracted with a certain freedom of synthesis from Marcel Proust’s In Search of Lost Time is perhaps one of his best…
Reading Time: 3 minutesDigital transformation is top-of-mind for executives in all of the major companies. By engaging in digital transformation, organizations can easily leverage digital technologies such as artificial intelligence, interactive applications, and bots, to strengthen their fundamental business models while streamlining interactions…
Reading Time: 5 minutesIn recent years, we have seen wide adoption of data analytics. However, most organizations continue to find it challenging to quickly yield actionable insights. Some issues that have been most often cited for this include: Poor data quality: While preparing…
Reading Time: 3 minutesThe 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…
