Remove Data Integration Remove Data Quality Remove ROI
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Development Strategies to Prevent Data Quality Issues in Production (Part 1)

Wayne Yaddow

When implementing automated validation, AI-driven regression testing, real-time canary pipelines, synthetic data generation, freshness enforcement, KPI tracking, and CI/CD automation, organizations can shift from reactive data observability to proactive data quality assurance. Summary: Why thisorder?

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Biggest Trends in Data Visualization Taking Shape in 2022

Smart Data Collective

Agile BI and Reporting, Single Customer View, Data Services, Web and Cloud Computing Integration are scenarios where Data Virtualization offers feasible and more efficient alternatives to traditional solutions. Does Data Virtualization support web data integration?

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Your Effective Roadmap To Implement A Successful Business Intelligence Strategy

datapine

But the rewards outperform by far its costs, and it is well known that business intelligence ROI is real even if it is sometimes hard to quantify. IT should be involved to ensure governance, knowledge transfer, data integrity, and the actual implementation. Clean data in, clean analytics out. Because it is that important.

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How to Pinpoint Where Your Organization Wins (and Loses) with Data

CIO Business Intelligence

By George Trujillo, Principal Data Strategist, DataStax Innovation is driven by the ease and agility of working with data. Increasing ROI for the business requires a strategic understanding of — and the ability to clearly identify — where and how organizations win with data. Data and cloud strategy must align.

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What’s the State of Data Governance and Empowerment in 2021?

erwin

However, if we’ve learned anything, isn’t it that data governance is an ever-evolving, ever-changing tenet of modern business? We explored the bottlenecks and issues causing delays across the entire data value chain. Key Bottlenecks and Challenges. Self-service done right is a game-changer.

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Your 5-Step Journey from Analytics to AI

CIO Business Intelligence

Then virtualize your data to allow business users to conduct aggregated searches and analyses using the business intelligence or data analytics tools of their choice. . Set up unified data governance rules and processes. With data integration comes a requirement for centralized, unified data governance and security.

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NLP Isn’t Enough. Leading Financial Services Companies Are Now Moving to Conversational AI.

CIO Business Intelligence

In some parts of the world, companies are required to host conversational AI applications and store the related data on self-managed servers rather than subscribing to a cloud-based service. Data integration can also be challenging and should be planned for early in the project. . Just starting out with analytics?