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Unlocking the Power of AI with a Real-Time Data Strategy

CIO Business Intelligence

It’s clear how these real-time data sources generate data streams that need new data and ML models for accurate decisions. Data quality is crucial for real-time actions because decisions often can’t be taken back.

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Data Accessibility: A Hurdle Before SAP’s AI Integration

Jet Global

However, if your team is accustomed to traditional methods they might hesitate to embrace SAP IBP’s AI-powered data anomaly detection for a few reasons. Firstly, there’s a potential fear of the unknown – relying on AI for such a critical task as data quality can feel like a leap of faith.

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Logi Symphony Soars in Latest Dresner Business Intelligence Report

Jet Global

Among other findings, the report identifies operations, executive management, and finance as the key drivers for business intelligence practices. The most popular BI initiatives were data security, data quality, and reporting.

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3 Ways to Replace Distrust of Your SAP Data With Confidence

Jet Global

Data Cleansing Imperative: The same report revealed that organizations recognized the importance of data quality, with 71% expressing concerns about data quality issues. This underscores the need for robust data cleansing solutions.

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Real-Time Data Drives Reporting Success With Wands for Oracle

Jet Global

Users need to go in and out of individual reports to get specific data they are looking for. Access to Real-Time Data Can Revolutionize Your Reporting To sidestep the negative effects of outdated data, your reporting tool should prioritize data quality, accuracy, and timeliness.

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What is Data Mapping?

Jet Global

The quick and dirty definition of data mapping is the process of connecting different types of data from various data sources. Data mapping is a crucial step in data modeling and can help organizations achieve their business goals by enabling data integration, migration, transformation, and quality.

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Unified Data Clears the Roadblocks of Your Hybrid Cloud Journey

Jet Global

Real-time data availability ensures that critical decision-making processes are not hindered by data transition activities Angles is also built for today’s cloud-first IT, with support for hybrid deployments that offload processing from the primary database to a Microsoft Azure or Snowflake data warehouse.

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