Business Intelligence & Data Security Articles

BI & AnalyticsCybersecurity

Information and business data are among the most valuable assets of any company. Entrepreneurs are increasingly cognizant of the importance of this data for their success in the current market economy.     Knowing this, we need to understand how to protect this information. Big data analytics professionals are making use of

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BI & AnalyticsBig Data

Almost everything we do, both online and offline, is a source for data. As technology increases, the ways to measure and collect data also increase. One of the ways we understand our world is to study trends in behavior. The issue that people run into now, however, is that technology

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BI & AnalyticsMachine Learning

For those companies who have been collecting machine data for years, an incredible opportunity exists in making this data actionable. Utilizing actionable data can offer an invaluable competitive advantage by enabling companies to streamline operational processes, optimize demand forecasting and better understand their customers’ propensity to buy. In particular, predictive

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BI & AnalyticsTech Trends

Business intelligence, or BI, plays a key role in the strategic planning of organizations and is used for multiple purposes, including measuring performance progress toward business goals, performing quantitative analysis, reporting and data sharing, and identifying customer insights. Business intelligence involves the use of computing technologies to identify, discover and

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BI & AnalyticsData ScienceFeatured

CEOs of the world’s leading companies have a global influence that stretches beyond their own business and commercial interests. The general public is increasingly looking to the people steering some of the largest companies in the world for their views on political and social issues. In a Financial Times article

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BI & AnalyticsData NativesTech TrendsTechnology & IT

Cognitive applications have become constant companions at our places of work. We expect smart systems to reduce repetitive workloads and support us in uncovering new Knowledge. As a result, data scientists and software engineers are applying various machine learning algorithms to finetune results and increase processing capabilities. At the same time,

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