Enterprise data warehouses continue to evolve as they promote modernization, owing to ever-increasing data relevancy within the business realm. Traditional data warehousing can help to attain complete and clean data at a small scale. However, it suffers in terms of the ability to scale to big data, conduct real time data operations, explore data, handle new data types and conduct efficient data flows for advanced analytics. The format variety and heterogeneity of data have contributed significantly to the need for modernization. A modern data warehouse is designed to address all formats (structured, semi/unstructured) of data and take advantage of cloud technologies to deliver scalable solutions and apply machine learning to enable a deeper understanding of data.
An EDW enterprise data warehouse is intended to be a single repository for all of an organization’s data, in contrast to a smaller data warehouse which may be specific to a business department or line of business (like a data mart).
The main vendors offering data warehousing services are Google, Amazon, Microsoft and Snowflake Cloud.
Intelligent Search leveraging artificial intelligence technology eliminates data silos by finding the correct information conveniently. Intelligent search can extract information from anywhere regardless of the format: big data in databases, document management systems, digital content, webpages, on paper etc. Intelligent search, unlike traditional search engines, can extract information and provide answers specific to the business. It carries the ability to understand human language with its natural language processing capabilities, learn and understand document structure, leverage machine learning to continuously improve search query result relevancy over time, predict what information will provide the most value to users, and more.
Intelligent Search offers the ability to discover hidden insights from unstructured text data to drive decision, create a simple team-wide enterprise search platform to put relevant information at fingertips and provides customers services at scale with a customer self-serve capability to reduce customer support costs. These aspects work exceptionally well to ultimately improve customer satisfaction.
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