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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.

Reporting 107
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Remove Data Siloes to Increase the Value of Your SAP Reporting

Jet Global

In today’s turbulent market, it’s key that these insights include data inputs from across the whole organization, not just finance. Our recent Hanover report echoes this sentiment. Limited data accessibility: Restricted data access obstructs comprehensive reporting and limits visibility into business processes.

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Innovative data integration in 2024: Pioneering the future of data integration

CIO Business Intelligence

AI-powered data integration tools leverage advanced algorithms and predictive analytics to automate and streamline the data integration process. According to a recent report by InformationWeek , enterprises with a strong AI strategy are 3 times more likely to report above-average data integration success.

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Elevating E-commerce with Data: How InsightOut Transforms Data into Profi

InsightOut

This is where InsightOut steps in, offering e-commerce companies the tools they need to clean, analyze, and report on key data metrics. Let's explore how InsightOut is leading the way and revolutionizing the way e-commerce businesses leverage data. Pristine Data Cleansing For e-commerce, data quality is non-negotiable.

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What is a Data Pipeline?

Jet Global

A data pipeline is a series of processes that move raw data from one or more sources to one or more destinations, often transforming and processing the data along the way. Data pipelines support data science and business intelligence projects by providing data engineers with high-quality, consistent, and easily accessible data.

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How to rule your data world: The role of data governance

BI-Survey

With the growing interconnectedness of people, companies and devices, we are now accumulating increasing amounts of data from a growing variety of channels. New data (or combinations of data) enable innovative use cases and assist in optimizing internal processes. Success factors for data governance.

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A summary of Gartner’s recent DataOps-driven data engineering best practices article

DataKitchen

Data Engineering teams often deliver to one or more self-service teams in a hub and spoke or data enablement organization model. This idea sometimes means sh** flows downhill to the data engineer team from self-service teams – your team gets all the blame and none of the glory from delivering business value.