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

NOVEMBER 3, 2023

AWS offers services such as Amazon QuickSight, a serverless business intelligence (BI) service that lets you centralize this view and even ask natural language questions of your data, using Amazon QuickSight Q. Where can I save the most by taking advantage of new AWS Glue features? What does my overall usage look like using AWS Glue?

Metrics 92

Metrics Dashboards Metadata Visualization 92

CIO Business Intelligence

NOVEMBER 22, 2022

Data fabric is an architecture that enables the end-to-end integration of various data pipelines and cloud environments through the use of intelligent and automated systems. The fabric, especially at the active metadata level, is important, Saibene notes.

Data Strategy 145

Data Strategy Strategy Enterprise Consulting 145

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 72

Analytics Data Warehouse Data Lake Metadata 72

Octopai

JUNE 1, 2020

Implementing good data mapping practices is an important way modern enterprise organizations use advanced business metrics for strategic insight. Octopai’s automated BI intelligence platform makes this process easy! Manual Metadata Management Hinders Compliance. Value of Data Mapping.

Metadata 52

Metadata Data Warehouse Data Integration Finance 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 Metadata Business Objectives 52

CIO Business Intelligence

MARCH 21, 2022

Businesses typically rely on keywords to make sense of unstructured data to pull out relevant data using searchable terms. It doesn’t conform to a data model but does have associated metadata that can be used to group it. Semi-structured data falls between the two.

Unstructured Data 137

Unstructured Data Data Analytics Analytics Structured Data 137

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

CIO Business Intelligence

NOVEMBER 15, 2023

And don’t just rattle off project metadata. Few metrics provide a fairer judgment of IT, given how inseparable its contributions are from the unnumbered activities of other departments. Did you deploy AI to your customer service center? What pains did it alleviate? What time did it save? What have your people done with that time?

Publishing 124

Publishing Reporting IT Finance 124

AWS Big Data

NOVEMBER 16, 2023

Through Amazon Redshift in-memory result set caching and compilation caching, workloads ranging from dashboarding to visualization to business intelligence (BI) that run repeat queries experience a significant performance boost. A predicate consists of a metric, a comparison condition (=, ), and a value.

Enterprise 88

Enterprise Data Warehouse Snapshot Cost-Benefit 88

AWS Big Data

SEPTEMBER 25, 2023

Marketing data mart – This has predictable extract, transform, and load (ETL) and business intelligence (BI) workloads at specific times of day. WLM queues from a metadata perspective are defined as service class configuration. The Redshift cluster automatically collects query monitoring metrics.

Management 100

Management Data Warehouse Metrics Dashboards 100

Jet Global

JULY 2, 2019

Ungoverned or uncatalogued data can leave businesses vulnerable both in terms of data quality (and organizational trust in that data), as well as in terms of security, regulatory, and compliance risks. Build your Business Intelligence Infrastructure on a Solid Foundation.

Data Lake 73

Data Lake Data Warehouse Big Data Machine Learning 73

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.

Management 109

Management Metadata Analytics Dashboards 109

DataKitchen

SEPTEMBER 21, 2023

Moreover, advanced metrics like Percentage Regional Sales Growth can provide nuanced insights into business performance. Data in Use pertains explicitly to how data is actively employed in business intelligence tools, predictive models, visualization platforms, and even during export or reverse ETL processes.

Testing 176

Testing Data Quality Predictive Modeling Metrics 176

CIO Business Intelligence

DECEMBER 21, 2022

So a strong business intelligence (BI) strategy can help organize the flow and ensure business users have access to actionable business insights. “By A lot of business intelligence software pulls from a data warehouse where you load all the data tables that are the back end of the different software,” she says. “Or

IT 131

IT Business Intelligence Sales Key Performance Indicator 131

Alation

SEPTEMBER 7, 2021

TrustCheck can be integrated with popular business intelligence BI tools, like Tableau, which supply quality information as you use these tools. The catalog automatically suggests new business glossary terms using AI/ML and links those terms to relevant data, saving valuable time and effort for stewards. In Summary.

Data Governance 59

Data Governance Risk Data Quality Dashboards 59

AWS Big Data

SEPTEMBER 7, 2023

The AWS Glue Data Catalog is a metastore of the location, schema, and runtime metrics of your data. AWS Glue Data Catalog stores information as metadata tables, where each table specifies a single data store. Running the crawler on a schedule updates AWS Glue Data Catalog with new partitions and metadata. Save and run the job.

Metadata 104

Metadata Dashboards Metrics Visualization 104

Alation

FEBRUARY 13, 2020

His focus is on business intelligence, analytics, big data, and data warehousing. What it does for us is that it goes out and pulls all of the metadata in from a variety of platforms that we have data stored on, and it actually allows us to collaborate and define and propagate out information about what the data is.

Digital Transformation 52

Digital Transformation Data-driven Business Intelligence Big Data 52

Alation

MAY 24, 2022

Additionally, a set of key features will accelerate data governance and simplify the security of sensitive metadata. Metrics — Profile data to provide a sense of it, such as checking for nulls and blanks to ensure data exists. Faster data-backed decisions result in better business decisions. Enhanced business glossary.

Data Quality 98

Data Quality Data Governance Metadata Metrics 98

DataKitchen

OCTOBER 11, 2021

Monitoring Job Metadata. Figure 7 shows how the DataKitchen DataOps Platform helps to keep track of all the instances of a job being submitted and its metadata. Figure 7: the DataKitchen DataOps Platform keeps track of all the instances of a job being submitted and its metadata. Priyanjna Sharma.

Testing 157

Testing Metadata Dashboards Statistics 157

Alation

MAY 31, 2023

American Family Insurance: Governance by Design – Not as an Afterthought Who: Anil Kumar Kunden , Information Standards, Governance and Quality Specialist at AmFam Group When: Wednesday, June 7, at 2:45 PM Why attend: Learn how to automate and accelerate data pipeline creation and maintenance with data governance, AKA metadata normalization.

Data Governance 52

Data Governance Insurance Metadata Data-driven 52

Alation

MARCH 29, 2021

Data-driven decision making is the process of using facts, metrics, and data to guide strategic decisions that align with business goals. It empowers everyone — from business analysts and sales managers, to marketing specialists — to make better decisions about virtually any business challenge. Conclusion.

Metadata 59

Metadata Data-driven Enterprise Machine Learning 59

IBM Big Data Hub

OCTOBER 12, 2023

Among the tasks necessary for internal and external compliance is the ability to report on the metadata of an AI model. Metadata includes details specific to an AI model such as: The AI model’s creation (when it was created, who created it, etc.)

Cost-Benefit 84

Cost-Benefit Metadata Data Governance Modeling 84

Alation

JULY 19, 2022

And even then, information from the data catalog can be transferred to a model connector , allowing data scientists to benefit from curated metadata within those platforms. For instance, Alation can return wiki-like articles, conversations, and business intelligence objects, in addition to traditional tables.

Metadata 59

Metadata Data Quality Statistics Data Science 59

Octopai

APRIL 8, 2020

Let’s examine how these processes failed, what regulations were put in place as a result, and what this means for business intelligence teams today. In reality, banks have hundreds of metrics to regulate, most coming from distinct systems. These tools extract, sort, and integrate thousands of metrics.

Finance 52

Finance Cost-Benefit Metadata Data Architecture 52

AWS Big Data

JANUARY 22, 2024

The majority of data produced by these accounts is used downstream for business intelligence (BI) purposes and in Amazon Athena , by hundreds of business users every day. The success of the implementation meant assessing various aspects of the data infrastructure, data management, and business outcomes.

Data-driven 91

Data-driven Advertising Metadata Data Architecture 91

CIO Business Intelligence

SEPTEMBER 26, 2023

Faster time to insights yields faster time to resolution, often proactively, so organizations can minimize or outright avoid IT and business impact. Traditional IT monitoring software tells you what is happening via metrics, logs, traces, alerts, etc.

IT 138

IT Key Performance Indicator Software Metadata 138

AWS Big Data

JUNE 9, 2023

Iceberg doesn’t optimize file sizes or run automatic table services (for example, compaction or clustering) when writing, so streaming ingestion will create many small data and metadata files. Frequent table maintenance needs to be performed to prevent read performance from degrading over time.

Data Lake 118

Data Lake Metadata Optimization Statistics 118

AWS Big Data

JULY 20, 2023

This data is then used by various applications for streaming analytics, business intelligence, and reporting. In addition, using Apache Iceberg’s metadata tables proved to be very helpful in identifying issues related to the physical layout of Iceberg’s tables, which can directly impact query performance.

Data Lake 88

Data Lake Analytics Snapshot Optimization 88

datapine

JANUARY 31, 2022

Using business intelligence and analytics effectively is the crucial difference between companies that succeed and companies that fail in the modern environment. Experience the power of Business Intelligence with our 14-days free trial! Why Is Business Intelligence So Important?

Business Intelligence 214

Business Intelligence Analytics Cost-Benefit ROI 214

Alation

MARCH 21, 2023

So much is automatic — the metadata extraction, curation, labeling, query log ingestion, and building out the lineage — it’s a big help,” says Leonard Kowk, senior data analyst. Today, Virgin Australia uses Alation to implement a consistent data quality management strategy that provides executives with actionable business insights.

Data Analytics 52

Data Analytics Analytics Data-driven Big Data 52

Alation

SEPTEMBER 23, 2021

A data catalog is a centralized storage bank of metadata on information sources from across the enterprise, such as: Datasets. Business intelligence reports. The data catalog also stores metadata (data about data, like a conversation), which gives users context on how to use each asset. What Is a Data Catalog?

Enterprise 52

Enterprise Metadata Data Governance Visualization 52

AWS Big Data

FEBRUARY 21, 2023

Regardless of the division or use case it is related to, dimensional data models can be used to store data obtained from tracking various processes like patient encounters, provider practice metrics, aftercare surveys, and more. Data vaults make it easy to maintain data lineage because it includes metadata identifying the source systems.

Data Warehouse 65

Data Warehouse Data Lake Cost-Benefit Modeling 65

Grooper

OCTOBER 23, 2019

For example, business growth, profits, cost and performance optimization, efficiency, compliance, and risk management. What metrics and goals do you have for information management? We invest very little in financial metrics but do use some basic stats to justify certain expenses. So how do you get there? They are: Vision.

Metrics 59

Metrics Measurement Strategy Optimization 59

CIO Business Intelligence

JUNE 14, 2023

Leveraging an open-source solution like Apache Ozone, which is specifically designed to handle exabyte-scale data by distributing metadata throughout the entire system, not only facilitates scalability in data management but also ensures resilience and availability at scale.

Unstructured Data 64

Unstructured Data IT Manufacturing Visualization 64

Domino Data Lab

JULY 22, 2019

But the business logic kept getting more and more progressively rolled back into the middle layer, also called application servers, web servers, later being called middleware. Along with your database servers, you had, data warehousing and business intelligence. Then things changed.

Data Science 109

Data Science Machine Learning Data Governance Modeling 109

Jet Global

MAY 27, 2021

Oracle recommends that Discoverer users migrate to Oracle Business Intelligence Foundation Suite. Business Area. Hubble delivers significant benefits to the team, helping us understand key spend metrics.”. Don’t get locked into slow OBIEE development cycles. Hubble Equivalent. Repository. Item Classes. Calculations.

Reporting 52

Reporting Cost-Benefit Dashboards Finance 52