Analysis Business Intelligence Enterprise Machine Learning 
TechCrunch
OCTOBER 28, 2020
We’ve seen our fair share of business intelligence (BI) platforms that aim to make data analysis accessible to everybody in a company. “I have seen the business intelligence problems in the past,” Panuganty said. Most of them are still fairly complicated, no matter what their marketing copy says.
CIO
JUNE 7, 2022
It comprises the processes, tools and techniques of data analysis and management, including the collection, organization, and storage of data. The chief aim of data analytics is to apply statistical analysis and technologies on data to find trends and solve problems. It is frequently used for risk analysis.
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CIO
NOVEMBER 14, 2022
The concept of DSS grew out of research conducted at the Carnegie Institute of Technology in the 1950s and 1960s, but really took root in the enterprise in the 1980s in the form of executive information systems (EIS), group decision support systems (GDSS), and organizational decision support systems (ODSS). Sensitivity analysis models.
CIO
NOVEMBER 23, 2022
Enterprise architecture definition Enterprise architecture (EA) is the practice of analyzing, designing, planning, and implementing enterprise analysis to successfully execute on business strategies. EA, and its goals, however, are constantly evolving.
O'Reilly Media - Data
JULY 23, 2018
Interest in machine learning (ML) has been growing steadily , and many companies and organizations are aware of the potential impact these tools and technologies can have on their underlying operations and processes. Machine Learning in the enterprise". Managing data science in the enterprise.
CIO
MARCH 24, 2023
To counter that, BARC recommends starting with a manageable or application-specific prototype project and then expanding across the company based on lessons learned. While data management has become a common term for the discipline, it is sometimes referred to as data resource management or enterprise information management (EIM).
CIO
FEBRUARY 13, 2023
Fifty-two percent of organizations plan to increase or maintain their IT spending this year, according to Enterprise Strategy Group. This includes spending on strengthening cybersecurity (35%), improving customer service (32%) and improving data analytics for real-time business intelligence and customer insight (30%).
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