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Propel Telecom Growth with Location-Based Context

Precisely

Precisely’s address and property data helps you identify serviceable addresses in your target area accurately, with mail delivery indicators, detailed land use, building designations, and more. Virtually any data point you can imagine is associated with a location in one way or another.

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Data Integrity Tools: Key Capabilities and 5 Tools You Should Know

Databand.ai

By doing so, data integrity tools enable organizations to make better decisions based on accurate, trustworthy information. The three core functions of a data integrity tool are: Data validation: This process involves checking the data against predefined rules or criteria to ensure it meets specific standards.

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Data Quality Platform: Benefits, Key Features, and How to Choose

Databand.ai

Improved compliance : Regulatory compliance is a significant concern for many organizations, especially those in highly regulated industries such as finance, healthcare, and telecommunications.

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Achieving Insights By Simplifying Data Validation and Enrichment

Precisely

When an organization fails to standardize and verify address information, enriching the data with reliable, trustworthy external information is difficult. To Deliver Standout Results, Start by Improving Data Integrity Critical business outcomes depend heavily on the quality of an organization’s data.

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What is Data Enrichment? Best Practices and Use Cases

Precisely

Data integrity is all about building a foundation of trusted data that empowers fast, confident decisions that help you add, grow, and retain customers, move quickly and reduce costs, and manage risk and compliance – and you need data enrichment to optimize those results. Read Why is Data Enrichment Important?

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Making Sense of Real-Time Analytics on Streaming Data, Part 1: The Landscape

Rockset

Lastly, and perhaps most importantly, streaming data is unique because it’s high-velocity and high volume, with an expectation that the data is available to be used in the database very quickly after the event has occurred. Streaming data has been around for decades. Today, streaming data is everywhere.

Kafka 52
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Introducing Compute-Compute Separation for Real-Time Analytics

Rockset

Step 3: Replicate In-Memory State Someone in the 1970s at Xerox took a photocopier, split it into a scanner and a printer, connected those two parts over a telephone line and thereby invented the world's first telephone fax machine which completely revolutionized telecommunications.