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Explore visualizations with AWS Glue interactive sessions

AWS Big Data

AWS Glue interactive sessions offer a powerful way to iteratively explore datasets and fine-tune transformations using Jupyter-compatible notebooks. This post is part of a series exploring the features of AWS Glue interactive sessions. and later).

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5 SLA metrics you should be monitoring

IBM Big Data Hub

SLAs describe the level of performance to be expected, how performance will be measured and repercussions if levels are not met. Crucially, they define how performance will be measured. SLAs should precisely define the key metrics—service-level agreement metrics—that will be used to measure service performance.

Metrics 52
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Getting Started With Incremental Sales – Best Practices & Examples

datapine

Incremental Sales Calculation As mentioned, incremental sales are used by businesses as a key performance indicator to measure the financial success of their promotional efforts. To ensure you yield the results you desire, first establish your goals, then decide on the metrics that you will need to track to measure your performance.

Sales 176
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Customer service vs customer experience: Key differentiators

IBM Big Data Hub

Customer experience , or CX, is a holistic accounting of customers’ perceptions resulting from all their interactions with a business or brand, whether online or in-store. Alternatively, customer service refers to the actions that an organization takes to ensure that customers are satisfied with their products post-purchase.

Metrics 89
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KPIs vs Metrics: Understanding The Differences With Tips & Examples

datapine

Essentially, Key Performance Indicators or KPIs measure performance or progress based on specific business goals and objectives. Companies usually visualize these measurements together with the help of interactive KPI reports. While they are both quantitative measurements, they are used for different purposes.

Metrics 189
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The Ultimate Guide to Modern Data Quality Management (DQM) For An Effective Data Quality Control Driven by The Right Metrics

datapine

5) How Do You Measure Data Quality? In this article, we will detail everything which is at stake when we talk about DQM: why it is essential, how to measure data quality, the pillars of good quality management, and some data quality control techniques. How Do You Measure Data Quality? Table of Contents. 2) Why Do You Need DQM?

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Glossary of Digital Terminology for Career Relevance

Rocket-Powered Data Science

Chatbots cannot hold long, continuing human interaction. Traditionally they are text-based but audio and pictures can also be used for interaction. They provide more like an FAQ (Frequently Asked Questions) type of an interaction. Consequently, they can have extended adaptable human interaction. See [link]. Industry 4.0