datapine

SEPTEMBER 29, 2022

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?

Data Quality 241

Data Quality Metrics Data-driven Management 241

DataKitchen

SEPTEMBER 21, 2023

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. ” For example, these tools may offer metadata-based notifications. What is Data in Use?

Testing 176

Testing Data Quality Predictive Modeling Metrics 176

CIO Business Intelligence

MARCH 18, 2024

The updated advisory on AI governance emphasizes the significance of industry self-regulation and proactive measures to tackle emerging challenges. Additionally, if any user makes changes to the information, the metadata should be configured to identify the user or computer resource that made those changes.

Metadata 77

Metadata Visualization Modeling Risk 77

DataKitchen

OCTOBER 11, 2021

Finally, when your implementation is complete, you can track and measure your process. 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. DataOps Project Design and Implementation. Priyanjna Sharma.

Testing 157

Testing Metadata Dashboards Statistics 157

CIO Business Intelligence

MARCH 24, 2023

Programs must support proactive and reactive change management activities for reference data values and the structure/use of master data and metadata. erwin Data Intelligence (DI) for Data Governance erwin DI combines data catalog and data literacy capabilities to provide awareness of and access to available data assets.

Data Governance 142

Data Governance Management Metadata Data Quality 142

FineReport

FEBRUARY 5, 2020

Nowadays, the business intelligence market is heating up. Both the investment community and the IT circle are paying close attention to big data and business intelligence. Metadata management. Some companies explore from the three levels of data sharing, data analysis, and business forecasting. In the end.

Metadata 98

Metadata Dashboards Informatics Visualization 98

Alation

FEBRUARY 7, 2023

The product collected an impressive amount of metadata, from the user interface to the database structure. It then translated all that metadata into an image resembling a spider’s web. Data warehouses obfuscate data’s origin In 2013, I was a Business Intelligence Engineer at a financial services company.

Metadata 52

Metadata Data Warehouse Visualization Data Quality 52

Alation

MAY 12, 2023

At Alation, one of our core values is to measure success through customer impact. Alation had such good connectivity to third-party platforms that we wanted to go with them,” wrote Joe Harrington, Director of Business Intelligence at East Idaho Federal Credit Union. “In I am using Alation to aid in our data governance efforts.

Metadata 52

Metadata Data Governance Data-driven Sales 52

AWS Big Data

MARCH 7, 2023

It covers how to use a conceptual, logical architecture for some of the most popular gaming industry use cases like event analysis, in-game purchase recommendations, measuring player satisfaction, telemetry data analysis, and more. Along with metadata management, data quality is important to increase confidence for consumers.

Analytics 69

Analytics Data Warehouse Data Lake Metadata 69

BI-Survey

FEBRUARY 23, 2023

Almost three quarters of respondents also state that they have recognized the need to invest in ways to access, link and understand metadata. These include tools for metadata management (e.g., data catalogs, data intelligence platforms), tools for data virtualization, organizational concepts (e.g., Tool support (e.g.,

Metadata 52

Metadata Data-driven Data Strategy Strategy 52

IBM Big Data Hub

APRIL 10, 2023

A well-designed data architecture should support business intelligence and analysis, automation, and AI—all of which can help organizations to quickly seize market opportunities, build customer value, drive major efficiencies, and respond to risks such as supply chain disruptions.

Strategy 95

Strategy Data Architecture Cost-Benefit Reporting 95

IBM Big Data Hub

OCTOBER 16, 2023

It includes processes that trace and document the origin of data, models and associated metadata and pipelines for audits. Such datasets are measured by how many “tokens” (words or word parts) they include. Capture and document model metadata for report generation. Track models and drive transparent processes.

Risk 78

Risk Modeling Management Metadata 78

IBM Big Data Hub

JANUARY 5, 2023

The right data architecture can help your organization improve data quality because it provides the framework that determines how data is collected, transported, stored, secured, used and shared for business intelligence and data science use cases. Efficiently adopt data platforms and new technologies for effective data management.

Data Quality 52

Data Quality Data Architecture Strategy Data Lake 52

Alation

MAY 12, 2023

At Alation, one of our core values is to measure success through customer impact. Alation had such good connectivity to third-party platforms that we wanted to go with them,” wrote Joe Harrington, Director of Business Intelligence at East Idaho Federal Credit Union. “In I am using Alation to aid in our data governance efforts.

Metadata 40

Metadata Data Governance Data-driven Sales 40

Ontotext

JULY 6, 2023

This shift of both a technical and an outcome mindset allows them to establish a centralized metadata hub for their data assets and effortlessly access information from diverse systems that previously had limited interaction. internal metadata, industry ontologies, etc.) The solution brings many business benefits.

Cost-Benefit 52

Cost-Benefit Metadata Experimentation Risk 52

CIO Business Intelligence

NOVEMBER 22, 2022

While the need for data access internally is rising, [CIOs] also have to keep pace with rapidly evolving regulatory and compliance measures, like the EU Artificial Intelligence Act and the newly released White House Blueprint for an AI Bill of Rights,” Nirmal says.

Data Strategy 145

Data Strategy Strategy Enterprise Consulting 145

CIO Business Intelligence

SEPTEMBER 6, 2022

“There was no one to help everybody with standards and central approaches, so every business vertical was doing it differently,” he says. “‘It’ It’ being everything from how they collect and measure data, to how they understand it and their own glossary. It was very fragmented, and I brought it together into a hub-and-spoke model.”.

IT 88

IT Forecasting Data Lake Enterprise 88

CIO Business Intelligence

MAY 4, 2023

The UK GDPR states that security measures must ensure the confidentiality, integrity, and availability of data (known in cybersecurity as the CIA triad) and protect against accidental loss, destruction, or damage. Data Privacy and Security The EU’s GDPR has formed the basis of data privacy regulations not just in EU but around the world.

Metadata 52

Metadata Risk Measurement Enterprise 52

Cloudera

DECEMBER 10, 2020

Recently, cloud-native data warehouses changed the data warehousing and business intelligence landscape. Appealing directly to end-users in the Lines of Business (LOBs), these solutions can dramatically shorten time to value, lower administrative burdens, and promise continuous agility in response to changing business demands.

Data Warehouse 98

Data Warehouse Metadata Cost-Benefit Optimization 98

BI-Survey

FEBRUARY 6, 2020

In fact, most companies struggle with data-related problems , organizational issues or outdated business intelligence and data analytics infrastructures which ignore more current usage scenarios such as explorative analytics on big data sources. Linking data to business metadata is crucial for data governance.

Reporting 59

Reporting Optimization Enterprise Data Quality 59

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. Data as a product Treating data as a product entails three key components: the data itself, the metadata, and the associated code and infrastructure.

Data-driven 85

Data-driven Advertising Metadata Data Architecture 85

AWS Big Data

JULY 14, 2023

LOB Category Capability Recruitment Manage Applicant Experience Manage Application Activities Process Application Follow-Ups Pursue Automated Leads Sale Service Engage Customer Provide Needs Assessment Tools Provide Service Information After the map is defined and captured, each business capability can be mapped to APIs that are implemented for it.

Modeling 68

Modeling Visualization Reporting Measurement 68

CIO Business Intelligence

NOVEMBER 15, 2023

First, the report should center on business priorities, and on the creation of business value, emphasizing those investments and initiatives that have contributed most directly. Second, it should articulate IT’s vision and its plan to achieve it while still creating measurable value in the present. What pains did it alleviate?

Publishing 123

Publishing Reporting IT Finance 123

Cloudera

JUNE 16, 2022

For governance and security teams, the questions revolve around chain of custody, audit, metadata, access control, and lineage. She needs to measure the streaming telemetry metadata from multiple manufacturing sites for capacity planning to prevent disruptions. So did we make Laila successful?

Data Lake 85

Data Lake Manufacturing Metadata Dashboards 85

AWS Big Data

AUGUST 14, 2023

How do we define “risk” and “value” in the context of data products, and how can we measure this? Earlier in their lifecycle, data products may be measured by alternative metrics, including adoption (number of consumers) and level of activity (releases, interaction with consumers, and so on). Measurement and Reporting X X.

Management 76

Management Risk Measurement Optimization 76

CIO Business Intelligence

MARCH 25, 2022

Businesses and consumers will only actively engage in the digital economy where they are confident they can trust the technologies, services and platforms, and they know who they are dealing with.

Metadata 59

Metadata Risk Manufacturing Measurement 59

Alation

JANUARY 26, 2023

A field might not be entered in the same way across different departments, which makes the data difficult to find and affects the accuracy of business intelligence (BI). Do they have a system to manage the metadata for given assets? This trend isn’t likely to reduce, so having the appropriate measures in place is essential.

Data Governance 52

Data Governance Strategy Data Quality Marketing 52

Andrew White

MARCH 22, 2019

to weave together the governance and management of master data, application data, and less-widely shared data, and just enough enterprise metadata management. Don’t You Need to Understand Your Business Information Architecture? It is hard to explain and express and measure that contribution. Where the CDO reports.

Analytics 68

Analytics Metadata Data Governance Management 68

Octopai

JULY 12, 2020

GIGO may be an old refrain, but it likely gave rise to the concept of what we know as ‘business intelligence’. With Octopai’s suite of metadata management tools in place, the BI team had a central location for data lineage. “ Garbage in, garbage out.” ” – George Fuechsel, early IBM programmer.

Data Warehouse 58

Data Warehouse Data Quality Metadata Risk Management 58

Rita Sallam

APRIL 2, 2023

For the vendors that participate in the Bake-Off and Show Floor Showdowns, it is in equal measure fun and extremely stressful. Metadata management goes beyond technical metadata and even combining that with business metadata when it infers or anticipates new users of recently introduced data assets.

Optimization 52

Optimization Machine Learning Insurance Risk 52

Grooper

OCTOBER 23, 2019

By measuring performance, they drive improvements through necessary process and workflow changes. It simply takes the right resources and a measured approach to get there. As Peter Drucker so famously said, “If you can’t measure it, you can’t improve it.” You must be able to measure your performance. In Summary.

Metrics 59

Metrics Measurement Strategy Optimization 59

BI-Survey

MARCH 4, 2022

Due to steadily growing interest in the topic, we conducted this survey to better understand the flavors of data culture within organizations, the hurdles they are facing, the initiatives that are underway and of course the wins that have already been achieved with these measures. This is exactly the issue that emerges from the study results.

Data-driven 52

Data-driven Data Strategy Data Governance Strategy 52

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. Chargeback metadata Amazon Redshift provides different pricing models to cater to different customer needs.

Enterprise 83

Enterprise Data Warehouse Snapshot Cost-Benefit 83

Alation

SEPTEMBER 7, 2021

Once you have policies in place, you need to ensure that data stewards can track and measure their activities. TrustCheck can be integrated with popular business intelligence BI tools, like Tableau, which supply quality information as you use these tools. Alation Reduces Risk with Active Data Governance.

Data Governance 59

Data Governance Risk Data Quality Dashboards 59

Domino Data Lab

APRIL 3, 2019

That’s a lot of priorities – especially when you group together closely related items such as data lineage and metadata management which rank nearby. Note that data warehouse (DW) and business intelligence (BI) practices both emerged circa 1990. Allows metadata repositories to share and exchange. credit cards).

Data Governance 84

Data Governance Machine Learning Metadata Big Data 84

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

CIO Business Intelligence

FEBRUARY 2, 2024

Certifications measure your knowledge and skills against industry- and vendor-specific benchmarks to prove to employers you have the right skillset. Each tests capabilities and knowledge ranging from project management and data management processes to business intelligence and IT compliance.

Management 115

Management Data Governance Cost-Benefit Testing 115