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What Role Does Data Mining Play for Business Intelligence?

Jet Global

Data drives everything in the business world, from manufacturing to supply chain logistics to retail sales to customer experience to post-sale marketing and beyond, data holds the secrets to making processes more efficient, production costs cheaper, profit margins higher and marketing campaigns more effective. Toiling Away in the Data Mines.

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Visualize Amazon DynamoDB insights in Amazon QuickSight using the Amazon Athena DynamoDB connector and AWS Glue

AWS Big Data

These include internet-scale web and mobile applications, low-latency metadata stores, high-traffic retail websites, Internet of Things (IoT) and time series data, online gaming, and more. Data stored in DynamoDB is the basis for valuable business intelligence (BI) insights. You don’t need to write any code. Choose Next.

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How gaming companies can use Amazon Redshift Serverless to build scalable analytical applications faster and easier

AWS Big Data

Sources Data can be loaded from multiple sources, such as systems of record, data generated from applications, operational data stores, enterprise-wide reference data and metadata, data from vendors and partners, machine-generated data, social sources, and web sources. Let’s look at the components of the architecture in more detail.

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Generative AI is pushing unstructured data to center stage

CIO Business Intelligence

and applying and enriching metadata helps organizations take a big step toward innovating with generative AI. Tapping into unstructured data reservoirs While a growing volume of unstructured data exists in digital form (such as PDFs, JPEGs, MP4s, etc.),

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Prioritizing AI? Don’t shortchange IT fundamentals

CIO Business Intelligence

The other problem is gen AI tools and users not seeing information that should be included because the metadata tagging and sensitivity labels haven’t been correctly applied to the data. Do you want to have an even more powerful search capability with AI in your data, and to be unsure about how you’ve organized that data?”

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Why You Need a Data Catalog & How to Choose One

Octopai

If the point of Business Intelligence (BI) data governance is to leverage your datasets to support information transparency and decision-making, then it’s fair to say that the data catalog is key for your BI strategy. Folding In Metadata Automation. At least, as far as data analysis is concerned. Scalability.

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Data Lakes: What Are They and Who Needs Them?

Jet Global

This is particularly useful when capturing event tracking or IoT data; though the uses of data lakes extend beyond just those scenarios. Ungoverned or uncatalogued data can leave businesses vulnerable both in terms of data quality (and organizational trust in that data), as well as in terms of security, regulatory, and compliance risks.