Remove Dashboards Remove Publishing Remove Risk
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Automate AWS Clean Rooms querying and dashboard publishing using AWS Step Functions and Amazon QuickSight – Part 2

AWS Big Data

Instead, they rely on up-to-date dashboards that help them visualize data insights to make informed decisions quickly. Manually handling repetitive daily tasks at scale poses risks like delayed insights, miscataloged outputs, or broken dashboards. At a large volume, it would require around-the-clock staffing, straining budgets.

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A Detailed Introduction on Data Lakes and Delta Lakes

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. You may run different types of analytics, from dashboards and visualizations to big data processing, real-time analytics, and machine […].

Data Lake 271
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Managing machine learning in the enterprise: Lessons from banking and health care

O'Reilly on Data

After the 2008 financial crisis, the Federal Reserve issued a new set of guidelines governing models— SR 11-7 : Guidance on Model Risk Management. Note that the emphasis of SR 11-7 is on risk management.). Sources of model risk. Machine learning developers are beginning to look at an even broader set of risk factors.

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Data’s dark secret: Why poor quality cripples AI and growth

CIO Business Intelligence

Fragmented systems, inconsistent definitions, legacy infrastructure and manual workarounds introduce critical risks. The decisions you make, the strategies you implement and the growth of your organizations are all at risk if data quality is not addressed urgently. Manual entries also introduce significant risks.

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Publish and enrich real-time financial data feeds using Amazon MSK and Amazon Managed Service for Apache Flink

AWS Big Data

In this post, we demonstrate how you can publish an enriched real-time data feed on AWS using Amazon Managed Streaming for Kafka (Amazon MSK) and Amazon Managed Service for Apache Flink. Amazon Opensearch stores the data, and OpenSearch Dashboards allows applications to query the data at any point in the future.

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Accomplish Agile Business Intelligence & Analytics For Your Business

datapine

It’s necessary to say that these processes are recurrent and require continuous evolution of reports, online data visualization , dashboards, and new functionalities to adapt current processes and develop new ones. Understand the expected information delivery avenues: reports, dashboards, ad hoc reporting , etc. Accept change.

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A Guide To The Top 14 Types Of Reports With Examples Of When To Use Them

datapine

In addition, we will see how online dashboards have overthrown the static nature of classic reports and given way to a much faster, more interactive way of working with data. Here we will cover 15 useful dashboard examples from different industries and functions to put the value of dashboard reporting into perspective.

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