erwin

JUNE 26, 2020

Organizations with particularly deep data stores might need a data catalog with advanced capabilities, such as automated metadata harvesting to speed up the data preparation process. Three Types of Metadata in a Data Catalog. The metadata provides information about the asset that makes it easier to locate, understand and evaluate.

Metadata 132

Metadata Cost-Benefit Measurement Data-driven 132

CIO Business Intelligence

MARCH 24, 2023

They must be accompanied by documentation to support compliance-based and operational auditing requirements. Programs must support proactive and reactive change management activities for reference data values and the structure/use of master data and metadata. The program must introduce and support standardization of enterprise data.

Data Governance 142

Data Governance Management Metadata Data Quality 142

CIO Business Intelligence

FEBRUARY 6, 2024

The remaining 80% is unstructured: emails, documents, presentations, spreadsheets, voicemails, and so on. Moreover, to better handle unstructured data, application vendors bifurcated their wares, with one group focused on unstructured data in its purest form, leaving the other group to manage documents.

Unstructured Data 98

Unstructured Data Advertising Metadata Software 98

erwin

OCTOBER 8, 2020

Companies everywhere are building innovative business applications to support their customers, partners and employees and are increasingly migrating from legacy to cloud environments. But even with the “need for speed” to market, new applications must be modeled and documented for compliance, transparency and stakeholder literacy.

Data Governance 145

Data Governance Metadata Testing Data Lake 145

Octopai

JANUARY 19, 2020

BCBS 239 is a document published by that committee entitled, Principles for Effective Risk Data Aggregation and Risk Reporting. The document, first published in 2013, outlines best practices for global and domestic banks to identify, manage, and report risks, including credit, market, liquidity, and operational risks.

Metadata 61

Metadata Risk Management Business Intelligence Data Governance 61

erwin

JANUARY 24, 2019

Often these enterprises are heavily regulated, so they need a well-defined data integration model that helps avoid data discrepancies and removes barriers to enterprise business intelligence and other meaningful use. Governing metadata. Data lineage, impact analysis and business rules repositories.

Data Governance 71

Data Governance Metadata Data-driven Cost-Benefit 71

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. A data store lets a business connect existing data with new data and discover new insights with real-time analytics and business intelligence. Track models and drive transparent processes.

Risk 79

Risk Modeling Management Metadata 79

erwin

APRIL 29, 2020

These tools range from enterprise service bus (ESB) products, data integration tools; extract, transform and load (ETL) tools, procedural code, application program interfaces (API)s, file transfer protocol (FTP) processes, and even business intelligence (BI) reports that further aggregate and transform data. Who are the data owners?

Metadata 111

Metadata Data Governance Key Performance Indicator Data Quality 111

CIO Business Intelligence

MAY 10, 2023

Through data governance practices, such as accurately labeled metadata and trusted parameters for ownership, definitions, calculations, and use, organizations can ensure they are able to organize and maintain their data in a way that can be useable for AI initiatives.

Metadata 98

Metadata Data Governance Modeling Technology 98

Octopai

MARCH 24, 2020

Business Intelligence has a lot depending on it. But, with the amount of time it takes for BI to deliver and the amount of manual data mapping and tracing required to enable accurate delivery, you have to question if maybe BI could be made more intelligent. So, what is BI Intelligence you ask? Business Glossary.

Metadata 43

Metadata Cost-Benefit Business Intelligence ROI 43

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

CIO Business Intelligence

DECEMBER 13, 2023

and applying and enriching metadata helps organizations take a big step toward innovating with generative AI. Tapping into unstructured data reservoirs While a growing volume of unstructured data exists in digital form (such as PDFs, JPEGs, MP4s, etc.),

Unstructured Data 98

Unstructured Data IoT Metadata Manufacturing 98

datapine

SEPTEMBER 29, 2022

Therefore, there are several roles that need to be filled, including: DQM Program Manager: The program manager role should be filled by a high-level leader who accepts the responsibility of general oversight for business intelligence initiatives. These processes could include reports, campaigns, or financial documentation.

Data Quality 241

Data Quality Metrics Data-driven Management 241

erwin

JANUARY 17, 2020

Data models provide visualization, create additional metadata and standardize data design across the enterprise. NoSQL supports JavaScript Object Notation (JSON), log messages, XML and unstructured documents. But neither would be possible without data modeling providing the backbone for metadata management and proper data governance.

Data-driven 138

Data-driven Modeling Metadata Data Governance 138

CIO Business Intelligence

OCTOBER 13, 2023

Data architect responsibilities According to Panoply , typical data architect responsibilities include: Translating business requirements into technical specifications, including data streams, integrations, transformations, databases, and data warehouses Defining the data architecture framework, standards, and principles, including modeling, metadata, (..)

Data Architecture 132

Data Architecture Data Warehouse Statistics Visualization 132

Ontotext

FEBRUARY 14, 2024

CEEL is now immediately available as part of our text analysis offerings, coming preconfigured as part of the new version of the Ontotext Metadata Studio (OMDS). Named Entity Recognition This is a token classification task and the tokens encoded in the input text document use a pre-trained transformer model.

Cost-Benefit 52

Cost-Benefit Modeling Metadata Optimization 52

Octopai

DECEMBER 16, 2020

Performing BI metadata management manually is a complex operation requiring many dedicated hours to accomplish. Data Discovery – BI teams can locate metadata instantly, even if it is scattered across many different systems. But, before you imagine the worst, it doesn’t have to be like this. Automated Platforms Make BI Manageable.

Reporting 85

Reporting Metadata Uncertainty Business Intelligence 85

Octopai

DECEMBER 10, 2019

Well, scoot over Templeton, because it’s also going to be the year of the Automated Business Glossary for business intelligence and data governance teams everywhere. One of the best ways to solve this issue is to create a business glossary. Automated Business Glossary Tools Streamline Processes.

Metadata 53

Metadata Data Warehouse Reporting Business Intelligence 53

Alation

DECEMBER 21, 2022

A data catalog is a metadata repository of information sources across the enterprise, including data sets, business intelligence reports, visualizations, and conversations. Documenting rule definitions and corrective actions guide domain owners and stewards in addressing quality issues. MDM Build Objects.

Management 52

Management Data Quality Metadata Testing 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

Octopai

JUNE 1, 2020

Data mapping is the cornerstone of many important business intelligence processes: Data Integration – Even if systems are compatible, combining two disparate data repositories still requires meticulous data mapping. Octopai’s automated BI intelligence platform makes this process easy! Value of Data Mapping.

Metadata 52

Metadata Data Warehouse Data Integration Enterprise 52

Smart Data Collective

JULY 27, 2021

Over the years, Snapshot has grown into the industry’s most comprehensive toolset for org management, relational data migration, documentation, technical debt removal, and more. Once you have accounted for all the CRM’s data, and metadata type, administrators will then need to take a comprehensive snapshot of the account,” added Mercer.

Big Data 131

Big Data Snapshot IT Dashboards 131

AWS Big Data

NOVEMBER 29, 2023

The Eightfold Talent Intelligence Platform integrates with Amazon Redshift metadata security to implement visibility of data catalog listing of names of databases, schemas, tables, views, stored procedures, and functions in Amazon Redshift. This post discusses restricting listing of data catalog metadata as per the granted permissions.

Metadata 100

Metadata Data Warehouse Analytics Data Analytics 100

Cloudera

AUGUST 31, 2021

Today, modern data warehousing has evolved to meet the intensive demands of the newest analytics required for a business to be data driven. It has a consistent framework that secures and provides governance for all data and metadata on private clouds, multiple public clouds, or hybrid clouds. All rights reserved.

Data Warehouse 80

Data Warehouse Cost-Benefit Metadata Data-driven 80

Alation

FEBRUARY 13, 2020

A broader definition of Business Intelligence. In their Wisdom of Crowds® Data Catalog Market Study, Dresner assessed data catalog solutions from the perspective of business intelligence (BI). Howard Dresner coined the term “Business Intelligence” in 1989.

Business Intelligence 52

Business Intelligence Machine Learning Marketing Metadata 52

CIO Business Intelligence

DECEMBER 4, 2023

With constant advances in intelligent document processing, compute power, DevOps workflows, and AI, the content, context, and value of unstructured data is rapidly increasing. A modern ILM approach helps CIOs and their teams align processes to business objectives and regulatory requirements. Iron Mountain Capture/Enrich.

Unstructured Data 52

Unstructured Data Data Lake Business Objectives Metadata 52

FineReport

NOVEMBER 17, 2021

It was an American interactive data visualization software company of business intelligence. It suits IT staff and business personnel. Also, with already organized Help Documents and user-friendly, good ecosphere, FineReport provides resources to solve problems. Tableau : There are specialized modules to manage metadata.

KPI 52

KPI Dashboards Metadata Data Warehouse 52

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. Refer to the respective service documentation for further details.

Analytics 68

Analytics Data Warehouse Data Lake Metadata 68

AWS Big Data

MARCH 9, 2023

Amazon QuickSight is a fully managed, cloud-native business intelligence (BI) service that makes it easy to connect to your data, create interactive dashboards and reports, and share these with tens of thousands of users, either within QuickSight or embedded in your application or website.

Slice and Dice 76

Slice and Dice Dashboards Analytics Interactive 76

erwin

APRIL 27, 2022

Read more about erwin® Data Intelligence by Quest. Best Data Modeling Solution (erwin Data Modeler).

Data Governance 52

Data Governance Digital Transformation Metadata Data Warehouse 52

Alation

JUNE 28, 2022

This is where metadata, or the data about data, comes into play. Your metadata management framework provides the underlying structure that makes your data accessible and manageable. What is a Metadata Management Framework? Your framework should include the following: Global metadata: applies to all information.

Metadata 52

Metadata Management Data Governance Machine Learning 52

CIO Business Intelligence

APRIL 27, 2022

Rajgopal adds that all customer data, metadata, and escalation data are kept on Indian soil at all times in an ironclad environment. For its part, Datacom has provided sovereign cloud solutions for over a decade in Australia and New Zealand to more than 50 government agencies.

Digital Transformation 111

Digital Transformation Metadata Risk Management 111

AWS Big Data

JULY 14, 2023

The only document given to Bob was PowerPoint slides and the names of the head of each department to get more information. To collect that information, Bob gets in touch with the head of each department, who in turn refer him to their development leads, who in turn give him a bunch of technical documents that explain how APIs are being used.

Modeling 67

Modeling Visualization Reporting Measurement 67

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

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 80

Enterprise Data Warehouse Snapshot Cost-Benefit 80

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 83

Metrics Dashboards Metadata Visualization 83

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. Stewards are able to apply policies and documentation in bulk to meet growing demands. Data quality details signal to users whether data can be trusted or used.

Data Governance 59

Data Governance Risk Data Quality Dashboards 59