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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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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 Access to Real-Time Data Can Revolutionize Your Reporting To sidestep the negative effects of outdated data, your reporting tool should prioritize data quality, accuracy, and timeliness.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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Conquering the SAP Data Management Maze with Process Runner’s Easy Workflow

Jet Global

Reduce Your SAP Data Processing Times by 90% Download Now Take Control of Your SAP Data Governance with Easy Workflow Easy Workflow is your ticket to effortless data governance. Here’s how it empowers you: Clean and Validated Data : Easy Workflow enforces data quality through automated validation rules.

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How to Handle Missing Data Values While Data Cleaning

Jet Global

One of the major challenges in most business intelligence (BI) projects is data quality (or lack thereof). In fact, most project teams spend 60 to 80 percent of total project time cleaning their data—and this goes for both BI and predictive analytics.