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CIT modernized its data architecture in response to intense regulatory scrutiny. They will present how data virtualization is being used to drive standardization, enable cross-company data integration, and serve as a common provisioning point from which to access all authoritative sources of data.
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Data warehouses were introduced to offer one integrated view of all the enterprise data spread across numerous isolated transactional systems. Now, organizations are struggling with a myriad of new data architectures that also try to offer some integrated view of the data to all business users and data scientists, such as data lakes, data hubs, data lakehouses.
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According to a recent Forrester survey, while 85% of organizations want to improve their use of data insights in their decision making, 91% of the respondents report that they are not able to improve upon their data-driven decision making.
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In today’s digital economy, customers are all-powerful. They have the ability to search for and find products and services, find reviews and ratings, find out about alternative products and services via search and social networks, ask questions of others about products and services, and find comparison sites.
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According to a recent Forrester survey, while 85% of organizations want to improve their use of data insights in their decision-making, 91% of the respondents report that they are not able to improve upon their data-driven decision making. The problem - organizations often turn to the data lakes, data lake houses, cloud data warehouses, etc.
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Presented at FST Future of Financial Services SydneyThe challenges that Crédit Agricole faced in leveraging dataHow Crédit Agricole implemented logical data fabric using data virtualizationRecipes for success, for similar implementations
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Data scientists have three requirements for efficiently performing data science and advanced analytics: (1) access to wide-ranging enterprise data, (2) flexible modeling, and (3) easy data preparation.
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The Denodo Platform for the Google Cloud Platform (GCP) provides an enterprise-grade cloud data management solution that enables real-time data integration between on-premises, cloud, and multi-cloud data sources with all GCP data sources – Google BigQuery, CloudSQL, Cloud BigTable, Cloud Storage, Cloud DataProc, and more, including SaaS applications. 
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This report is no longer available, but we invite you to read our blog, 'My Take on the 2024 Gartner® Critical Capabilities for Data Integration Tools Report,' authored by our Senior Director of Brand & Corporate Marketing, for a summary and key insi
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