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The state of data quality in 2020

O'Reilly on Data

We suspected that data quality was a topic brimming with interest. The responses show a surfeit of concerns around data quality and some uncertainty about how best to address those concerns. Key survey results: The C-suite is engaged with data quality. Data quality might get worse before it gets better.

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Top 10 Analytics And Business Intelligence Trends For 2020

datapine

The trends we presented last year will continue to play out through 2020. In 2020, BI tools and strategies will become increasingly customized. Companies are no longer wondering if data visualizations improve analyses but what is the best way to tell each data-story. 1) Data Quality Management (DQM).

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AI adoption in the enterprise 2020

O'Reilly on Data

In 2020, as in 2019, a plurality of respondents—almost 22%—identified a lack of institutional support as the biggest problem. In both 2019 and 2020, the AI skills gap actually occupied the No. By contrast, AI adopters are about one-third more likely to cite problems with missing or inconsistent data. Bottlenecks to AI adoption.

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Top 10 Analytics And Business Intelligence Buzzwords For 2020

datapine

That’s why we have prepared a list of the most prominent business intelligence buzzwords that will dominate in 2020. Exclusive Bonus Content: Get Our 2020 BI Buzzwords Handbook! We mentioned predictive analytics in our business intelligence trends article and we will stress it here as well since we find it extremely important for 2020.

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Top 10 Data Governance Trends for 2020: Data’s Real Value Comes Into Focus

erwin

Understanding the data governance trends for the year ahead will give business leaders and data professionals a competitive edge … Happy New Year! Regulatory compliance and data breaches have driven the data governance narrative during the past few years. Marketing even will get its own line item in the IT budget.

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Unbundling the Graph in GraphRAG

O'Reilly on Data

at Facebook—both from 2020. A generalized, unbundled workflow A more accountable approach to GraphRAG is to unbundle the process of knowledge graph construction, paying special attention to data quality. See the primary sources “ REALM: Retrieval-Augmented Language Model Pre-Training ” by Kelvin Guu, et al.,

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How to Use a Data Lineage Tool to Ensure Data Quality

Octopai

In the past, it’s been estimated that data scientists spend somewhere between 30% and 80% of their time just prepping and cleaning data. Even as data science has progressed, data cleaning still takes over 25% of data scientists’ work time , according to a 2020 survey by Anaconda. Data Supervision.