Business Intelligence Data Science Data Warehouse OLAP 
Smart Data Collective
JUNE 16, 2022
Data science is both a rewarding and challenging profession. One study found that 44% of companies that hire data scientists say the departments are seriously understaffed. Fortunately, data scientists can make due with fewer staff if they use their resources more efficiently, which involves leveraging the right tools.
IBM Big Data Hub
DECEMBER 7, 2023
Online analytical processing (OLAP) database systems and artificial intelligence (AI) complement each other and can help enhance data analysis and decision-making when used in tandem. As AI techniques continue to evolve, innovative applications in the OLAP domain are anticipated.
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CIO Business Intelligence
JANUARY 20, 2023
Business intelligence definition Business intelligence (BI) is a set of strategies and technologies enterprises use to analyze business information and transform it into actionable insights that inform strategic and tactical business decisions.
Jet Global
MAY 28, 2019
Whether the reporting is being done by an end user, a data science team, or an AI algorithm, the future of your business depends on your ability to use data to drive better quality for your customers at a lower cost. Table-based reporting routinely causes performance issues as well, particularly with large data sets.
CIO Business Intelligence
NOVEMBER 14, 2022
A DSS leverages a combination of raw data, documents, personal knowledge, and/or business models to help users make decisions. The data sources used by a DSS could include relational data sources, cubes, data warehouses, electronic health records (EHRs), revenue projections, sales projections, and more.
AWS Big Data
OCTOBER 18, 2023
Amazon Redshift is a fast, fully managed, petabyte-scale data warehouse that provides the flexibility to use provisioned or serverless compute for your analytical workloads. You can get faster insights without spending valuable time managing your data warehouse. Fault tolerance is built in.
Jet Global
AUGUST 14, 2019
With the potential use cases on the horizon for AI in business, as well as the investment dollars and rate of change currently propelling AI, one thing is clear: you’ll need to get your foundation in place sooner, rather than later, to take advantage of the benefits coming to the business world. Enter data warehousing.
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