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Data transformation takes flight at Atlanta’s Hartsfield-Jackson airport

CIO Business Intelligence

As part of its plan, the IT team conducted a wide-ranging data assessment to determine who has access to what data, and each data source’s encryption needs.

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How Your Finance Team Can Lead Your Enterprise Data Transformation

Alation

Because of the criticality of the data they deal with, we think that finance teams should lead the enterprise adoption of data and analytics solutions. Recent articles extol the benefits of supercharging analytics for finance departments 1. This is because accurate data is “table stakes” for finance teams.

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SAP Datasphere Powers Business at the Speed of Data

Rocket-Powered Data Science

Datasphere is a data discovery tool with essential functionalities: recommendations, data marketplace, and business content (i.e., incorporates the business context of the data and data products that are being recommended and delivered). As you would guess, maintaining context relies on metadata.

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Key Challenges Affecting Data Transformations—Dev and Testing

Wayne Yaddow

Common challenges and practical mitigation strategies for reliable data transformations. Photo by Mika Baumeister on Unsplash Introduction Data transformations are important processes in data engineering, enabling organizations to structure, enrich, and integrate data for analytics , reporting, and operational decision-making.

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Fresca Group Selects insightsoftware To Transform Its Financial Consolidation and Disclosure Management Processes

Jet Global

JustPerform provides an all-in-one planning, forecasting, and financial close companion that enables finance teams to collaborate seamlessly, close faster, report accurately, and make confident decisions. We selected insightsoftware to transform the way our finance team operates day to day, said Laura Evison, CFO at Fresca Group.

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Accelerate your data workflows with Amazon Redshift Data API persistent sessions

AWS Big Data

In this post, we’ll walk through an example ETL process that uses session reuse to efficiently create, populate, and query temporary staging tables across the full data transformation workflow—all within the same persistent Amazon Redshift database session.

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A Planning Center of Excellence Delivers Performance Improvement

David Menninger's Analyst Perspectives

Finance people think in terms of money, but line-of-business managers almost always think in terms of things. Automating data transformation and aggregation also makes it practical to expand the scope of usable data for forecasting, planning, analysis and reporting by removing time constraints.