Ontotext

JUNE 22, 2023

Recent statistics shed light on the realities in the world of current drug development: out of about 10,000 compounds that undergo clinical research, only 1 emerges successfully as an approved drug. The current process involves costly wet lab experiments, which are often performed multiple times to achieve statistically significant results.

Metrics 52

Metrics Statistics Visualization Metadata 52

AWS Big Data

APRIL 3, 2024

By selecting the corresponding asset, you can understand its content through the readme, glossary terms , and technical and business metadata. We use this data source to import metadata information related to our datasets. Use Amazon DataZone APIs through Boto3 to push custom data quality metadata.

Data Quality 93

Data Quality Visualization Metadata Metrics 93

datapine

SEPTEMBER 29, 2022

It involves: Reviewing data in detail Comparing and contrasting the data to its own metadata Running statistical models Data quality reports. from the business interactions), but if not available, then through confirmation techniques of an independent nature. 2 – Data profiling.

Data Quality 241

Data Quality Metrics Data-driven Management 241

Insight

MARCH 12, 2020

Data Collection The AIgent leverages book synopses and book metadata. To my knowledge, the most extensive repository of synopses and metadata is Goodreads. To collect these genre tags and other metadata, I took advantage of the well-documented Goodreads API. features) and metadata (i.e. Why is this important?

Modeling 59

Modeling Metadata Publishing Sales 59

O'Reilly on Data

JULY 28, 2020

Once relevant data has been obtained, understanding what is valuable and what is simply noise requires statistical and scientific rigor. When a Stitch Fix user interacts with its AI products, they interface with the prediction and recommendation engines. Acquiring data is often difficult, especially in regulated industries.

Marketing 362

Marketing Experimentation Metrics Testing 362

Rita Sallam

JULY 22, 2016

It is defined by a self-contained architecture that enables nontechnical users to autonomously execute full-spectrum analytic workflows from data access, ingestion and preparation to interactive analysis, and the collaborative sharing of insights. Answer: Better than every other vendor?

Analytics 40

Analytics Business Intelligence Metadata Statistics 40

Ontotext

DECEMBER 7, 2023

Developed and standardized by the World Wide Web Consortium (W3C), it provides a powerful and expressive framework for representing data and metadata. Now it’s possible to attach metadata to describe graph edges such as scores, weights, temporal aspects and provenance. RDF Basics RDF is made of three-part structures called triples.

Metadata 64

Metadata Modeling Software Statistics 64

Alation

OCTOBER 12, 2022

Traditional business analysis uses numerical methods to paint a picture, often through numerical methods, like statistics. What Is the Role of Statistics in Quantitative Data Analysis? Statistics is at the heart of quantitative analysis. Two of the most common types of inferential statistics are: Regression analysis.

Statistics 52

Statistics Sales Testing Marketing 52

Alation

JULY 7, 2022

In 2013 I joined American Family Insurance as a metadata analyst. I had always been fascinated by how people find, organize, and access information, so a metadata management role after school was a natural choice. The use cases for metadata are boundless, offering opportunities for innovation in every sector.

Metadata 52

Metadata Data-driven Insurance Statistics 52

Domino Data Lab

JANUARY 21, 2021

Predictive modeling efforts rely on dataset profiles , whether consisting of summary statistics or descriptive charts. Computing interactions of all features on a pairwise basis can be useful for selecting, or de-selecting, for further research. Each dataset has properties that warrant producing specific statistics or charts.

Statistics 106

Statistics Unstructured Data Data Science Predictive Modeling 106

Cloudera

NOVEMBER 13, 2020

Exhaustive cost-based query planning depends on having up to date and reliable statistics which are expensive to generate and even harder to maintain, making their existence unrealistic in real workloads. Metadata Caching. If you have ever interacted with Impala in the past you would have encountered the Catalog Cache Service.

Optimization 143

Optimization Metadata Statistics Cost-Benefit 143

AWS Big Data

SEPTEMBER 13, 2023

Amazon Athena is used for interactive querying and AWS Lake Formation is used for access controls. The File Manager Lambda function consumes those messages, parses the metadata, and inserts the metadata to the DynamoDB table odpf_file_tracker. It also updates technical metadata in the AWS Glue Data Catalog.

Data Lake 94

Data Lake Data Processing Metadata Snapshot 94

Occam's Razor

APRIL 8, 2013

Maybe they analyzed the metadata from pictures and found that there was a strong correlation between properties that rented often and expensive camera models. Remember that the raw number is not the only important part, we would also measure statistical significance. Because they find interaction with others rewarding and compelling.

Metrics 156

Metrics KPI Analytics Key Performance Indicator 156

CIO Business Intelligence

APRIL 7, 2022

More recently, they’ve been exploring the use of interactive chatbots to check the pulse of employee sentiment at work. KPMG, for example, built its first interactive chatbot in 2016. To fill this gap, some companies are turning to employee surveys aimed at gauging how workers are feeling.

Consulting 145

Consulting Management Interactive Metadata 145

AWS Big Data

MAY 4, 2023

Moreover, it’s hard to right-size these settings for some use cases such as interactive analytics due to lack of visibility into future requirements. The data, fetched from the Kubernetes Metric Server, feeds into statistical models that VPA constructs in order to build recommendations.

Metrics 81

Metrics Dashboards Optimization Statistics 81

datapine

MAY 29, 2019

Data cleansing, metadata management, data distribution, storage management, recovery, and backup planning are processes conducted in a data warehouse while BI makes use of tools that focus on statistics, visualization, and data mining. Exclusive Bonus Content: Wondering about BI & DWH?

Business Intelligence 196

Business Intelligence Data Warehouse Dashboards Visualization 196

Domino Data Lab

JULY 22, 2019

He was saying this doesn’t belong just in statistics. It involved a lot of work with applied math, some depth in statistics and visualization, and also a lot of communication skills. We had Julia Lane talking about Coleridge Initiative and the work on Project Jupyter to support metadata and data governance and lineage.

Data Science 109

Data Science Machine Learning Data Governance Modeling 109

Domino Data Lab

AUGUST 8, 2019

The gist is, leveraging metadata about research datasets, projects, publications, etc., Another key point: troubleshooting edge cases for models in production—which is often where ethics and data meet, as far as regulators are concerned—requires much more sophistication in statistics than most data science teams tend to have.

Data Science 71

Data Science Machine Learning Data Governance Statistics 71

Sisense

AUGUST 21, 2020

This can turn the problem definition environment to multidimensional and learn from the user interaction with the system to personalize and match the results. From Forecast to Trends to natural language querying, we are completely transparent about the technology behind and the statistical characteristics of the output.

Analytics 112

Analytics Machine Learning Dashboards Visualization 112

O'Reilly on Data

MAY 21, 2019

Metadata and artifacts needed for audits. Machine learning often interacts and impacts users, so companies not only need to put in place processes that will let them deploy ML responsibly, they need to build foundational technologies that will allow them to retain oversight, particularly when things go wrong.

Machine Learning 238

Machine Learning Technology Deep Learning Data Science 238

AWS Big Data

JUNE 15, 2023

QuickSight is a unified BI service providing modern interactive dashboards, natural language querying, paginated reports, machine learning (ML) insights, and embedded analytics at scale. Just as data is prepared visually using dashboards and reports, it can be readied for language-based interactions using a topic.

Sales 69

Sales Dashboards Visualization Testing 69

Alation

SEPTEMBER 1, 2022

The report shares sobering statistics that reveal inefficiencies familiar to modern data users. Activating metadata within a data intelligence platform surfaces key insights and unburden experts from tedious manual work. The problem Data Intelligence Platforms solve. Why is a data intelligence platform needed in the first place?

Reporting 52

Reporting Metadata Data Governance Interactive 52

Andrew White

JANUARY 11, 2021

But we are seeing increasing data suggesting that broad and bland data literacy programs, for example statistics certifying all employees of a firm, do not actually lead to the desired change. We cannot of course forget metadata management tools, of which there are many different. We do have good examples and bad examples.

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52

Jet Global

MAY 1, 2023

As rich, data-driven user experiences are increasingly intertwined with our daily lives, end users are demanding new standards for how they interact with their business data. Embedded Analytics Drive Successful Consumer Applications Consumer web applications have transformed how people use and interact with data.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52