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Data’s dark secret: Why poor quality cripples AI and growth

CIO Business Intelligence

As technology and business leaders, your strategic initiatives, from AI-powered decision-making to predictive insights and personalized experiences, are all fueled by data. Yet, despite growing investments in advanced analytics and AI, organizations continue to grapple with a persistent and often underestimated challenge: poor data quality.

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Top 10 Analytics And Business Intelligence Trends For 2020

datapine

Companies are no longer wondering if data visualizations improve analyses but what is the best way to tell each data-story. 2020 will be the year of data quality management and data discovery: clean and secure data combined with a simple and powerful presentation. 1) Data Quality Management (DQM).

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Get The Most Out Of Smart Business Intelligence Reporting

datapine

Business intelligence reporting, or BI reporting, is the process of gathering data by utilizing different software and tools to extract relevant insights. It is not crucial to establish a whole department to manage and implement this process – numerous presentation software can help on the way. Enhanced data quality.

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Your Data Won’t Speak Unless You Ask It The Right Data Analysis Questions

datapine

Although organizations spend millions of dollars on collecting and analyzing data with various data analysis tools , it seems like most people have trouble actually using that data in actionable, profitable ways. Your Chance: Want to perform advanced data analysis with a few clicks?

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AI Product Management After Deployment

O'Reilly on Data

In traditional software engineering, precedent has been established for the transition of responsibility from development teams to maintenance, user operations, and site reliability teams. This distinction assumes a slightly different definition of debugging than is often used in software development. Monitoring.

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Managing machine learning in the enterprise: Lessons from banking and health care

O'Reilly on Data

Regulators behind SR 11-7 also emphasize the importance of data—specifically data quality , relevance , and documentation. While models garner the most press coverage, the reality is that data remains the main bottleneck in most ML projects. Governance, policies, controls. Earlier this year, the U.S.

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BI Reporting Tools Can Make or Break Decision-Making!

Smarten

According to a recent TechJury survey: Data analytics makes decision-making 5x faster for businesses. The top three business intelligence trends are data visualization, data quality management, and self-service business intelligence (BI). 7 out of 10 business rate data discovery as very important.