Remove Data Collection Remove Metadata Remove ROI
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When is data too clean to be useful for enterprise AI?

CIO Business Intelligence

If it costs more to detect and remove incorrect phone numbers in your dataset than it costs to make that number of wasted calls or send that many undeliverable text messages, then there’s no ROI in fixing the numbers in advance. “A Missing trends Cleaning old and new data in the same way can lead to other problems.

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What you need to know about product management for AI

O'Reilly on Data

You might have millions of short videos , with user ratings and limited metadata about the creators or content. Job postings have a much shorter relevant lifetime than movies, so content-based features and metadata about the company, skills, and education requirements will be more important in this case. What delivers the greatest ROI?

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6 Case Studies on The Benefits of Business Intelligence And Analytics

datapine

Because things are changing and becoming more competitive in every sector of business, the benefits of business intelligence and proper use of data analytics are key to outperforming the competition. Business Intelligence And Analytics Lead To ROI. Such business intelligence ROI can come in many forms.

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Using DataOps to Drive Agility and Business Value

DataKitchen

Bergh added, “ DataOps is part of the data fabric. You should use DataOps principles to build and iterate and continuously improve your Data Fabric. Agility as a concept in business is really powerful and certainly deserves a place in every data and analytics team.”. DataOps Maximizes Your ROI. Design for measurability.

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Driving Business Value and ROI from a Hybrid Cloud Data Lake

Alation

earthquake, flood, or fire), where the data collected does not need to be as tightly controlled. Since an earthquake event can generate gigabytes of data, a company can spin up extra computing nodes, process the data, and spin down the nodes once the processing is complete. In The Alation Data Catalog adding S3 is simple.

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Data Cataloging in the Data Lake: Alation + Kylo

Alation

More than any other advancement in analytic systems over the last 10 years, Hadoop has disrupted data ecosystems. By dramatically lowering the cost of storing data for analysis, it ushered in an era of massive data collection.

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How ActionIQ built a truly composable customer data platform using Amazon Redshift

AWS Big Data

These additional ETL jobs add latency to the end-to-end process from data collection to activation, which makes it more likely that your campaigns are activating on stale data and missing key audience members. They often provide additional information to augment the data in event tables.