Remove 2022 Remove Data Quality Remove Reporting
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Biggest Trends in Data Visualization Taking Shape in 2022

Smart Data Collective

Data virtualization is ideal in any situation where the is necessary: Information coming from diverse data sources. Multi-channel publishing of data services. How does Data Virtualization manage data quality requirements? Real-time information. Agile requirements and fast deployment times.

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Steps taken to build Sevita’s first enterprise data platform

CIO Business Intelligence

When I joined in July 2022, the company had spent the prior 24 months completing more than 20 acquisitions, and the IT team was busy bringing all these new systems online. But because of the infrastructure, employees spent hours on manual data analysis and spreadsheet jockeying. This legacy situation gave us two challenges.

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CIOs rise to the ESG reporting challenge

CIO Business Intelligence

Corporate ESG reporting is getting real for companies around the globe. Enacted and proposed regulations in the EU, US, and beyond are deepening reporting requirements in an effort to change business behavior. The foundation for ESG reporting, of course, is data. The foundation for ESG reporting, of course, is data.

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Sustainability: Real progress but also thorny challenges ahead

CIO Business Intelligence

Here are some of the challenges left to resolve in the area of environmental sustainability: Collecting, sharing, and reporting on environmental data: For many organizations, identifying and collecting sustainability data across operations is still a challenge. The key is good data quality.

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How to Use a Data Lineage Tool to Ensure Data Quality

Octopai

Data lineage tools give you exactly that kind of transparent, x-ray vision into your data quality. Data Supervision. This is why effective data management and governance requires actually appointing people to be data owners and data stewards. Everyone agrees that data quality is important.

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Generative AI in the Enterprise

O'Reilly on Data

As of November 2023: Two-thirds (67%) of our survey respondents report that their companies are using generative AI. AI users say that AI programming (66%) and data analysis (59%) are the most needed skills. Two-thirds of our survey’s respondents (67%) report that their companies are using generative AI. of nonusers, 5.4%

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IBM named a leader in the 2022 Gartner® Magic Quadrant™ for Data Quality Solutions

IBM Big Data Hub

Data is the new oil and organizations of all stripes are tapping this resource to fuel growth. However, data quality and consistency are one of the top barriers faced by organizations in their quest to become more data-driven. Unlock quality data with IBM. Access the full report here.