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

datapine

In our cutthroat digital age, the importance of setting the right data analysis questions can define the overall success of a business. That being said, it seems like we’re in the midst of a data analysis crisis. Your Chance: Want to perform advanced data analysis with a few clicks? Data Is Only As Good As The Questions You Ask.

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The Ultimate Guide to Modern Data Quality Management (DQM) For An Effective Data Quality Control Driven by The Right Metrics

datapine

1) What Is Data Quality Management? 3) The 5 Pillars of DQM. 4) Data Quality Best Practices. 5) How Do You Measure Data Quality? 6) Data Quality Metrics Examples. 7) Data Quality Control: Use Case. 8) The Consequences Of Bad Data Quality. 9) 3 Sources Of Low-Quality Data.

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How to build a successful procurement strategy

IBM Big Data Hub

A procurement strategy allows an organization to navigate an increasingly complex global supply chain, adapt swiftly to market fluctuations, and achieve cost optimization, operational efficiency and growth. In addition, a well-crafted procurement framework fosters innovation and sustainability. What is a procurement strategy?

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Sustainability trends: 5 issues to watch in 2024

IBM Big Data Hub

Here’s what to watch: Net zero: The race moves forward The global focus on achieving net-zero emissions —the point which human-caused greenhouse gas emissions are balanced by an equivalent amount removed from the atmosphere—has intensified in recent years. trillion to the global economy by 2050.

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Top 10 Management Reporting Best Practices To Create Effective Reports

datapine

Management reporting is a source of business intelligence that helps business leaders make more accurate, data-driven decisions. By the end of this article, making stunning and useful managerial reports will be second nature to you. What Is A Management Report? In The Beginning, Financial Reports.

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Beyond basics: Six tips for an exceptional customer service strategy

IBM Big Data Hub

While every customer interaction is different, organizations that want to improve customer retention and grow their customer base must create an effective customer service strategy. About 70% of customers report making purchase decisions based on the quality of their customer service experience, according to Zendesk.

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Use Apache Iceberg in a data lake to support incremental data processing

AWS Big Data

Iceberg has become very popular for its support for ACID transactions in data lakes and features like schema and partition evolution, time travel, and rollback. and later supports the Apache Iceberg framework for data lakes. Starting with Amazon EMR version 6.5.0, AWS Glue 3.0

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