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Tag: data quality

Leveraging Data Stream Processing to Improve Real-Time Data Analysis 

Data stream processing is rapidly emerging as a critical technology for modernizing enterprise applications and improving real-time data analysis for data-driven applications. As businesses...

Learn about Master Data Management: Aligning Data, Process, and Governance in the DAS Webinar

Master Data Management (MDM) is a critical process that helps organizations manage their data effectively. It involves aligning data, process, and governance to ensure...

6 Ways to Earn Trust From Consumers Who Share Data With Your Brand [Data]

In 2023, having the right data can make or break your brand. But, for good reason, consumer data is harder than ever to get.As...

Firstlogic Sponsors the 2023 National Postal Forum, the Leading…

DULUTH, Ga. (PRWEB) May 01, 2023 As the company has done for many years, Firstlogic is supporting the National...

Deliver your first ML use case in 8–12 weeks

Do you need help to move your organization’s Machine Learning (ML) journey from pilot to production? You’re not alone. Most executives think ML can...

Why Customer Centricity is Crucial for Fintech Success: Common Pitfalls to Avoid (Joris Lochy)

Fintech and customer-centricity go hand in hand. The Fintech movement originated from the observation that traditional incumbent banks insufficiently served their customers and focused...

How Dafiti made Amazon QuickSight its primary data visualization tool

This is a guest post by Valdiney Gomes, Hélio Leal, and Flávia Lima from Dafiti. Data and its various uses is increasingly evident in...

Data Governance Best Practices

With digital transformation initiatives on the rise, organizations are investing more in Data Governance, a formalized practice that connects different components and increases data’s...

Amazon SageMaker Data Wrangler for dimensionality reduction

In the world of machine learning (ML), the quality of the dataset is of significant importance to model predictability. Although more data is usually...

Create SageMaker Pipelines for training, consuming and monitoring your batch use cases

Batch inference is a common pattern where prediction requests are batched together on input, a job runs to process those requests against a trained...

The power of accurate data: How fidelity shapes the business landscape?

Data fidelity, the degree to which data can be trusted to be accurate and reliable, is a critical factor in the success of any...

5 lessons from hundreds of data benchmarking exercise (Nick Green)

When it comes to reducing data bureau pricing, what matters most isn’t what you paid last year, but how you can get the best...

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