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Improve Data Clarity and Business Outcomes with Anomaly Detection!

Smarten

Understanding anomalies in data can help a business by revealing trends, mapping targets and adapting to change with fact-based information that will help the enterprise and prescribe strategies to encourage agility and flexibility in the market and among competitors.

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Implement data quality checks on Amazon Redshift data assets and integrate with Amazon DataZone

AWS Big Data

Data quality is crucial in data pipelines because it directly impacts the validity of the business insights derived from the data. Today, many organizations use AWS Glue Data Quality to define and enforce data quality rules on their data at rest and in transit.

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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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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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Get The Most Out Of Smart Business Intelligence Reporting

datapine

Every serious business uses key performance indicators to measure and evaluate success. Enhanced data quality. One of the most clear-cut and powerful benefits of data intelligence for business is the fact that it empowers the user to squeeze every last drop of value from their data. Cost optimization.

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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.

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Accelerate Your Business Performance With Modern IT Reports

datapine

The purpose is not to track every statistic possible, as you risk being drowned in data and losing focus. Select the right KPIs: When it comes to creating an effective IT management report, selecting the best key performance indicators for the job is essential. Here are the best practices to consider: 1.

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