Today, Enterprise Data Warehouses (EDWs) are expanding to support higher scalability, higher performance, deeper Hadoop integration, more automation, and real-time streaming technology. Large EDW vendors have started to offer more scalable platforms that use solid-state drives and offer distributed in-memory technologies to process large amounts of data faster, delivering both predictive and prescriptive analytics that can increase optimization and deliver a strong ROI.
Today’s EDWs enable airlines to deliver actionable, timely, and trustworthy intelligence to a wide range of business users and operational systems. An EDW can organize and aggregate historical analytical data from functional domains, such as customer, finance, and human resources, that align with key processes, applications, and roles. An EDW serves as the repository for a substantial amount of an organization’s operational history. It offers in-database analytics, predictive models, and embedded business algorithms to drive business decisions. An EDW is a robust, secure, and proven ecosystem that supports integration with data models and security frameworks, real-time analytics, automation, and a broad range of business intelligence (BI) and visualization tools.
Data virtualization provides an agile data platform to support new and emerging business use cases. It delivers a data services layer that integrates data and content on-demand from disparate sources in real-time, near real-time, streaming, and batch to support a wide range of business processes. Automated processes can update, transform, or cleanse data provided through the data services layer. A critical component of data virtualization is the metadata catalog, which keeps track of all data, its location, availability, and state and ensures trusted and timely availability of data.
Data virtualization also supports transactions that write back to the original data sources, whether online or offline, on-premise, or cloud. EA pros like its automation and self-service capabilities for data integration, access, and management, which reduce time and effort to support new business use cases. They have been expanding beyond customer analytics to support analytics for social media, the internet of things (IoT), fraud detection, and integrated insights.
The next generation of EDW is expanding to support higher scalability, higher performance, deeper integration, real-time analytics, stronger security, and more automation (see Figure 1). Recent innovations include:
Migrate to the cloud easily. Intelligencia's Cloud Integration Services help clients connect their systems, sensors, and applications seamlessly, allowing better connectivity and creates dynamic business environments.
Intelligencia helps clients integrate their database applications, as well as analyze, map, and evaluate their data to ensure their business is optimized and provides all company departments with the data they need to succeed.
Intelligencia helps its clients go virtual, at least with data, which helps control workloads across data centers in addition to reducing IT infrastructure and energy footprints.
Data governance is not only about control and data protection; it's about enablement, a requirement in today’s fast-moving enterprise environment. Intelligencia will help you protect, enable, and optimize your data.
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Intellligencia is a Hong Kong- and Macau-based software consulting company that works specifically in the hospitality, gaming, fintech, esports, manufacturing, retail, sports betting, and travel industries. Although located in Asia, we work with clients as far away as North America, Mexico, India, Armenia, Australia, and the Philippines.
Address: 505 Hennessy Road, #613, Causeway Bay, Hong Kong
Phone: +852 5196 1277
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Website: www.intelligencia.co