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.

Metrics 156

Metrics KPI Analytics Key Performance Indicator 156

O'Reilly on Data

JULY 28, 2020

The first step in building an AI solution is identifying the problem you want to solve, which includes defining the metrics that will demonstrate whether you’ve succeeded. It sounds simplistic to state that AI product managers should develop and ship products that improve metrics the business cares about. Agreeing on metrics.

Marketing 362

Marketing Experimentation Metrics Testing 362

DataRobot Blog

SEPTEMBER 1, 2022

This also shows how the models compare on standard performance metrics and informative visualizations like Dual Lift. With DataRobot AI Cloud, you can see predicted values and accuracy for various metrics for the Champion as well as any Challenger models.]. Model Observability with Custom Metrics.

Metrics 145

Metrics Statistics Modeling Data Science 145

Ontotext

MAY 2, 2024

Every new dataset and new user adds a little more friction that hits the core metric of the velocity of data and brings it down to zero. Data-centric approach In the data-centric approach, metadata serves as a layer of interoperability between the data sources. Here we talk about metadata management, catalog of catalogs, and so on.

Metadata 52

Metadata Data Lake Data-driven Enterprise 52

AWS Big Data

FEBRUARY 29, 2024

For users to be able to discover and comprehend the data, the first step is to build a comprehensive catalog using the metadata that is generated and captured in the source systems. From here, object metadata (such as file owner, creation date, and confidentiality level) is extracted and queried using Amazon S3 capabilities.

Data Governance 91

Data Governance Unstructured Data Metadata Data Lake 91

AWS Big Data

FEBRUARY 27, 2024

OSI is a fully managed, serverless data collector that delivers real-time log, metric, and trace data to OpenSearch Service domains and OpenSearch Serverless collections. Migration of metadata such as security roles and dashboard objects will be covered in another subsequent post.

Metadata 91

Metadata Data Processing Dashboards IoT 91

AWS Big Data

MARCH 7, 2024

For on-demand ingestion for past time durations where you don’t expect new objects to be created, consider using supported pipeline metrics such as recordsOut.count to create Amazon CloudWatch alarms that can stop the pipeline. For a list of supported metrics, refer to Monitoring pipeline metrics.

Data Lake 109

Data Lake Analytics Dashboards Metrics 109

Cloudera

MARCH 22, 2023

While in the old world where questions around data quality or system performance were answered by monitoring a few logs and metrics, in a distributed landscape (like a hybrid data platform) it’s not that straightforward. There are many logs and metrics, and they are all over the place.

Metrics 84

Metrics Data Governance Cost-Benefit Dashboards 84

AWS Big Data

APRIL 3, 2024

Many organizations already use AWS Glue Data Quality to define and enforce data quality rules on their data, validate data against predefined rules , track data quality metrics, and monitor data quality over time using artificial intelligence (AI). We use this data source to import metadata information related to our datasets.

Data Quality 85

Data Quality Visualization Metadata Metrics 85

Rocket-Powered Data Science

JULY 19, 2023

For example, an exploration of historical data may reveal that an increase in customer satisfaction (or dissatisfaction) with one particular product is correlated with some other satisfaction (or dissatisfaction) metric downstream at a later date.

Data-driven 186

Data-driven Enterprise Analytics Machine Learning 186

Andrew White

JULY 5, 2023

One of the points of confusion is with catalogs – or data catalogs – or analytics catalogs or metrics stores. These catalogs could be called data catalogs (for data or data sets), or metrics stores (for models and metrics). The fact that there are different names is one thing. They are all catalogs.

Metrics 52

Metrics Metadata Modeling Data Quality 52

Cloudera

NOVEMBER 29, 2023

It simplifies recording model parameters, metadata, and metrics ensuring transparent bookkeeping. Easy to use SDK : You can use the familiar MLFlow library that offers an intuitive, easy-to-use solution for model tracking.

Modeling 82

Modeling Machine Learning Metadata Metrics 82

Alation

MAY 12, 2023

So when leading software review site TrustRadius announced that we had won their “Top Rated” awards in Data Catalog , Data Collaboration, Data Governance , and Metadata Management we were thrilled, but not surprised, since usability has been core to Alation’s product DNA since day 1. What does “Top Rated” mean?

Metadata 52

Metadata Data Governance Data-driven Sales 52

CIO Business Intelligence

MARCH 4, 2024

Ever-shifting domain-level business logic and architectures add to the workload of overwhelmed central data teams, which results in difficult, misaligned metric reporting and declining data reliability. To deliver a cohesive data strategy, seamless data access and sharing requires the breaking down of data silos.

Insurance 98

Insurance Strategy Data Governance Data Integration 98

O'Reilly on Data

MARCH 31, 2020

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.

Management 332

Management Machine Learning Experimentation Metrics 332

IBM Big Data Hub

APRIL 13, 2023

Here are some of the key tables: FLIGHT_DECTREE_MODEL: this table contains metadata about the model. Examples of metadata include depth of the tree, strategy for handling missing values, and the number of leaf nodes in the tree. I use these counts to compute a few evaluation metrics for the model. The count is 4981.

Modeling 93

Modeling Statistics Machine Learning Testing 93

AWS Big Data

NOVEMBER 6, 2023

Airflow will cache variables and connections locally so that they can be accessed faster during DAG parsing, without having to fetch them from the secrets backend, environments variables, or metadata database. The Cluster Activity page gathers useful data to monitor your cluster’s live and historical metrics.

Metrics 99

Metrics Metadata Snapshot Management 99

AWS Big Data

NOVEMBER 3, 2023

In this post, we explore how to combine AWS Glue usage information and metrics with centralized reporting and visualization using QuickSight. You have metrics available per job run within the AWS Glue console, but they don’t cover all available AWS Glue job metrics, and the visuals aren’t as interactive compared to the QuickSight dashboard.

Metrics 83

Metrics Dashboards Metadata Visualization 83

CIO Business Intelligence

NOVEMBER 22, 2022

The fabric, especially at the active metadata level, is important, Saibene notes. The approach provides business-critical insights into application information, schema, metrics, and lineage, says Andy Petrella, founder of data observability provider, Kensu, and the author of Fundamentals of Data Observability (O’Reilly, 2022).

Data Strategy 145

Data Strategy Strategy Enterprise Consulting 145

Cloudera

MARCH 3, 2022

Data analytics and machine learning can become a business and a compliance risk if data security, governance, lineage, metadata management, and automation are not holistically applied across the entire data lifecycle and all environments. From Bad to Worse.

Data Governance 95

Data Governance Enterprise Data Quality Metadata 95

Alation

MAY 12, 2023

So when leading software review site TrustRadius announced that we had won their “Top Rated” awards in Data Catalog , Data Collaboration, Data Governance , and Metadata Management we were thrilled, but not surprised, since usability has been core to Alation’s product DNA since day 1. What does “Top Rated” mean?

Metadata 40

Metadata Data Governance Data-driven Sales 40

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.

Analytics 68

Analytics Data Warehouse Data Lake Metadata 68

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?

Metadata 63

Metadata Key Performance Indicator Unstructured Data Business Intelligence 63

Octopai

MAY 13, 2020

Each data system has its own metrics that new employees must familiarize themselves with. Automated metadata management tools are key to putting these tools at new employees’ fingertips. The advantages of Octopai’s automated metadata onboarding and process improvement tools don’t stop at orientation.

Metadata 52

Metadata Business Intelligence Visualization Insurance 52

Ontotext

JUNE 22, 2023

On top of that, data is sometimes unreliable , and inaccurate or missing metadata makes it hard to decide which information to trust. The confidence score and provenance metrics enable researchers to trace back any decisions and have more confidence to make evidence-driven decisions. Our customer is a U.S.-based

Metrics 52

Metrics Statistics Visualization Metadata 52

CIO Business Intelligence

DECEMBER 4, 2023

Once focused solely on reducing search and retrieval times, information lifecycle management (ILM) is now critical to workflow automation, identifying and tracking performance metrics, and harnessing the burgeoning potential of AI. Beyond “records,” organizations can digitally capture anything and apply metadata for context and searchability.

Unstructured Data 52

Unstructured Data Data Lake Business Objectives Metadata 52

AWS Big Data

JULY 27, 2023

On the Monitoring tab, find the PutRecord success – average (Percent) and PutRecord – sum (Bytes) metrics to validate record ingestion. To avoid reprocessing the same data, a metadata table can be maintained at Amazon Redshift to keep track of each ELT process with status, start time, and end time, as explained in the following section.

Data Warehouse 80

Data Warehouse Analytics Metadata Dashboards 80

Octopai

JUNE 1, 2020

Implementing good data mapping practices is an important way modern enterprise organizations use advanced business metrics for strategic insight. Manual Metadata Management Hinders Compliance. Having BI and analytics teams manually manage their metadata is an overwhelming, time consuming, and error-prone task.

Metadata 52

Metadata Data Warehouse Data Integration Enterprise 52

CIO Business Intelligence

APRIL 29, 2022

In summary, in order to ensure that AI programs are a success from the outset, organisations should take the following data-related steps: Formalise both ‘data-centric AI’ and ‘AI-centric data’ as part of data management strategy with metadata and data fabric as key foundational components.

Data Governance 145

Data Governance IT Risk Data Lake 145

Alation

MAY 17, 2022

Those algorithms draw on metadata, or data about the data, that the catalog scrapes from source systems, along with behavioral metadata, which the catalog gathers based on human data usage. Most catalogs use a profile system not unlike an Amazon product page, which aggregates a variety of metadata about a given asset.

Metadata 52

Metadata Data Quality Machine Learning Reporting 52

Alation

OCTOBER 26, 2021

The glossary includes the definition of the metric and can point to the specific table containing the formula from which it is calculated. Data governance: Alation allows finance teams to easily identify business metric owners and connect these experts to the underlying data they know best, which supports better governance.

Finance 52

Finance Data Transformation Enterprise Metrics 52

Cloudera

MARCH 14, 2023

A critical feature for every developer however is to get instantaneous feedback like configuration validations or performance metrics, as well as previewing data transformations for each step of their data flow. Attributes contain key metadata like the source directory of a file or the source topic of a Kafka message.

Testing 80

Testing Publishing Metadata Interactive 80

IBM Big Data Hub

JUNE 8, 2022

Lack of a common business vocabulary across your organization’s data and the inability to map those categories to existing data leads to inconsistency of business metrics and data analytics in addition to making it difficult for users to easily find and understand the data. Lack of a common data catalog across data assets.

Data-driven 59

Data-driven Enterprise Data Governance Data Lake 59

Alation

JANUARY 24, 2023

Set your desired outcomes at the earliest stage, with clear metrics to track their progress and delivery. Focus on your planned outcomes and user skills The first step in ensuring you get immediate value from a data catalog is asking yourself two key questions: “What are we trying to achieve with a data catalog?” and “Who will be using it?”.

Metadata 52

Metadata Data-driven Data Governance Metrics 52

Octopai

OCTOBER 26, 2022

Continuous DataOps metrics testing checks data’s validity, completeness and integrity at input and output. Comprehensive metadata that supports data product and process organization. The identification and categorization that enables effective search is based on metadata. This is commonly a data catalog or a marketplace.

Data Quality 52

Data Quality Data Analytics Analytics Manufacturing 52

erwin

MARCH 8, 2019

A number of best practices and technology solutions were used to establish the data required for managing the registration and classification of data feeds: The underlying metadata is harvested followed by an initial quality check. Then the metadata is classified against a semantic model held in a business glossary.

Data Governance 65

Data Governance Metadata Data Warehouse Data Quality 65

Alation

OCTOBER 5, 2021

These divergences of focus can lead to consumers feeling bogged down by overly complicated processes or leadership teams being unable to see initiative investments reap the desired rewards of their predictive business success metrics. (1). If managers rely on incomplete or unproductive metrics, this can obstruct strategy.

Data Governance 96

Data Governance Strategy Data Quality Metrics 96