AWS Big Data
OCTOBER 11, 2023
Near-real-time streaming analytics captures the value of operational data and metrics to provide new insights to create business opportunities. These metrics help agents improve their call handle time and also reallocate agents across organizations to handle pending calls in the queue.
AWS Big Data
JUNE 10, 2024
As exploration continued with Apache Iceberg, some interesting performance metrics were found. When evolving such a partition definition, the data in the table prior to the change is unaffected, as is its metadata. execute() Remove old metadata files Iceberg keeps track of table metadata using JSON files.
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Occam's Razor
APRIL 8, 2013
To win in business you need to follow this process: Metrics > Hypothesis > Experiment > Act. We are far too enamored with data collection and reporting the standard metrics we love because others love them because someone else said they were nice so many years ago. That metric is tied to a KPI.
Octopai
FEBRUARY 8, 2020
The two teams (Lockheed Martin and NASA Jet Propulsion Laboratory) that built the thrusters miscommunicated units (English to metric). While some businesses suffer from “data translation” issues, others are lacking in discovery methods and still do metadata discovery manually. So, the software miscalculated. And the bottom line?
AWS Big Data
MARCH 7, 2023
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.
datapine
JANUARY 31, 2022
As a result of the relocation, the analytics team analyzed metadata attached to employee calendars and found a 46% decrease in meeting travel time which translated into estimated savings of $520,000 per year in employee time. A great way to illustrate the operational benefits of business intelligence.
AWS Big Data
MARCH 25, 2024
Another example is an AI-driven observability and monitoring solution where FMs monitor real-time internal metrics of a system and produces alerts. When the model finds an anomaly or abnormal metric value, it should immediately produce an alert and notify the operator.
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