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Data Teams and Their Types of Data Journeys

DataKitchen

Data Teams and Their Types of Data Journeys In the rapidly evolving landscape of data management and analytics, data teams face various challenges ranging from data ingestion to end-to-end observability. It explores why DataKitchen’s ‘Data Journeys’ capability can solve these challenges.

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Fivetran Modern Data Stack Conference 2023: Key Takeaways

Alation

Last week, the Alation team had the privilege of joining IT professionals, business leaders, and data analysts and scientists for the Modern Data Stack Conference in San Francisco. In this blog, I’ll share a quick high-level overview of the event, with an eye to core themes. What did attendees take away from the event?

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Data-driven competitive advantage in the financial services industry

Cloudera

Cloudera’s customers in the financial services industry have realized greater business efficiencies and positive outcomes as they harness the value of their data to achieve growth across their organizations. Data enables better informed critical decisions, such as what new markets to expand in and how to do so.

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What’s Top of Mind for CFOs Heading into 2024

Jet Global

Finance leaders are excited about the productivity gains GenAI can provide but also wary of potential security risks. Technology that increases efficiency by simplifying reporting processes is important for finance teams to connect data, enable agility, and drive profitability. Privacy Policy.

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Struggling to Scale: How Finance Can Do More with Less

Jet Global

This eliminates multiple issues, such as wasted time spent on data manipulation and posting, risk of human error inherent in manual data handling, version control issues with disconnected spreadsheets, and the production of static financial reports. I'd like to see a demo of insightsoftware solutions. Privacy Policy.

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How EPM Solutions Increase Efficiency in Data Management and Reporting

Jet Global

This can lead to delays in filing disclosures and increase the risk of errors that could result in regulatory penalties or damage to your company’s reputation. Finally, the need to manually transfer data between disparate systems introduces a significant risk of human error.

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What is a Data Pipeline?

Jet Global

A data pipeline is a series of processes that move raw data from one or more sources to one or more destinations, often transforming and processing the data along the way. Data pipelines support data science and business intelligence projects by providing data engineers with high-quality, consistent, and easily accessible data.