David Menninger's Analyst Perspectives

SEPTEMBER 28, 2021

Collibra is a data governance software company that offers tools for metadata management and data cataloging. Line-of-business workers can use it to create, review and update the organization's policies on different data assets. The software enables organizations to find data quickly, identify its source and assure its integrity.

Data Governance 349

Data Governance Metadata Software Management 349

erwin

NOVEMBER 6, 2019

Often these enterprises are heavily regulated, so they need a well-defined data integration model that will help avoid data discrepancies and remove barriers to enterprise business intelligence and other meaningful use. The post Metadata Management, Data Governance and Automation appeared first on erwin, Inc.

Metadata 102

Metadata Data Governance Management Cost-Benefit 102

Octopai

JUNE 26, 2020

Steve, the Head of Business Intelligence at a leading insurance company, pushed back in his office chair and stood up, waving his fists at the screen. Steve needed a robust and automated metadata management solution as part of his organization’s data governance strategy. Metadata in data governance.

Metadata 98

Metadata Data Governance Enterprise Reporting 98

O'Reilly on Data

JANUARY 29, 2019

In other words, could we see a roadmap for transitioning from legacy cases (perhaps some business intelligence) toward data science practices, and from there into the tooling required for more substantial AI adoption? On the other hand, we wanted to measure the sophistication of their use of these components.

Deep Learning 253

Deep Learning Machine Learning Data Science Metadata 253

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 111

Metadata Data Warehouse Analytics Data Analytics 111

erwin

DECEMBER 12, 2019

Metadata is an important part of data governance, and as a result, most nascent data governance programs are rife with project plans for assessing and documenting metadata. But in many scenarios, it seems that the underlying driver of metadata collection projects is that it’s just something you do for data governance.

Metadata 84

Metadata Data Governance Digital Transformation Data Quality 84

AWS Big Data

JANUARY 15, 2025

In this post, we show you how EUROGATE uses AWS services, including Amazon DataZone , to make data discoverable by data consumers across different business units so that they can innovate faster. From here, the metadata is published to Amazon DataZone by using AWS Glue Data Catalog. This process is shown in the following figure.

IoT 111

IoT Machine Learning Metadata Data-driven 111

CIO Business Intelligence

FEBRUARY 27, 2025

According to a study from Rocket Software and Foundry , 76% of IT decision-makers say challenges around accessing mainframe data and contextual metadata are a barrier to mainframe data usage, while 64% view integrating mainframe data with cloud data sources as the primary challenge.

Metadata 98

Metadata Data Lake Cost-Benefit Forecasting 98

Cloudera

OCTOBER 23, 2024

In August, we wrote about how in a future where distributed data architectures are inevitable, unifying and managing operational and business metadata is critical to successfully maximizing the value of data, analytics, and AI. It is a critical feature for delivering unified access to data in distributed, multi-engine architectures.

Metadata 84

Metadata Data Lake Dashboards Interactive 84

AWS Big Data

OCTOBER 29, 2024

To achieve this, they aimed to break down data silos and centralize data from various business units and countries into the BMW Cloud Data Hub (CDH). It streamlines access to various AWS services, including Amazon QuickSight , for building business intelligence (BI) dashboards and Amazon Athena for exploring data.

Data Lake 106

Data Lake Sales Metadata Machine Learning 106

Octopai

JULY 15, 2020

The interesting thing about Octopai is that the data management and business intelligence world has reached such great complexity that automation evolved from “a nice to have” to a “must have.” I believe that metadata automation improves the organization, thereby improving each individual employee. The next ten years?

Business Intelligence 88

Business Intelligence Metadata Cost-Benefit Risk 88

CIO Business Intelligence

DECEMBER 11, 2024

One field that is gaining attention is data intelligence, which uses metadata to provide visibility and a deeper and broader understanding of data quality, context, usage, and impact.

Risk 111

Risk Data Strategy Strategy Data Governance 111

CIO Business Intelligence

NOVEMBER 27, 2024

You can’t treat data cleaning as a one-size-fits-all way to get data that’ll be suitable for every purpose, and the traditional ‘single version of the truth’ that’s been a goal of business intelligence is effectively a biased data set. For AI, there’s no universal standard for when data is ‘clean enough.’

Enterprise 141

Enterprise Data Quality Structured Data Modeling 141

Octopai

OCTOBER 5, 2021

Data catalog tools that utilize automation will routinely review all metadata within your BI landscape and update your data catalog accordingly. We hope that this detailed guide can smooth the path to selecting the right data catalog software for your business intelligence. Making Smart Choices.

Business Intelligence 98

Business Intelligence Software Cost-Benefit Metadata 98

Jet Global

JUNE 5, 2019

Data drives everything in the business world, from manufacturing to supply chain logistics to retail sales to customer experience to post-sale marketing and beyond, data holds the secrets to making processes more efficient, production costs cheaper, profit margins higher and marketing campaigns more effective. READ BLOG POST.

Data mining 75

Data mining Business Intelligence OLAP Key Performance Indicator 75

Octopai

FEBRUARY 12, 2020

Like any good puzzle, metadata management comes with a lot of complex variables. That’s why you need to use data dictionary tools, which can help organize your metadata into an archive that can be navigated with ease and from which you can derive good information to power informed decision-making. Download Now.

Metadata 72

Metadata Enterprise Management Data Warehouse 72

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

erwin

JANUARY 9, 2020

That’s because it’s the best way to visualize metadata , and metadata is now the heart of enterprise data management and data governance/ intelligence efforts. Data modeling captures how the business uses data and provides context to the data source. So here’s why data modeling is so critical to data governance.

Data Governance 144

Data Governance Modeling Metadata Unstructured Data 144

Octopai

APRIL 19, 2021

Aptly named, metadata management is the process in which BI and Analytics teams manage metadata, which is the data that describes other data. In other words, data is the context and metadata is the content. Without metadata, BI teams are unable to understand the data’s full story. Donna Burbank.

Metadata 59

Metadata Management Business Intelligence Data Governance 59

Octopai

MARCH 31, 2021

Look for the Metadata. This metadata (read: data about your data) is key to tracking your data. In other words, kind of like Hansel and Gretel in the forest, your data leaves a trail of breadcrumbs – the metadata – to record where it came from and who it really is. Let’s Get Mapping.

Metadata 133

Metadata Data Transformation Business Intelligence Reporting 133

CIO Business Intelligence

NOVEMBER 19, 2024

For AI to be effective, the relevant data must be easily discoverable and accessible, which requires powerful metadata management and data exploration tools. An enhanced metadata management engine helps customers understand all the data assets in their organization so that they can simplify model training and fine tuning.

Management 116

Management Unstructured Data Deep Learning Metadata 116

CIO Business Intelligence

AUGUST 21, 2024

Add context to unstructured content With the help of IDP, modern ECM tools can extract contextual information from unstructured data and use it to generate new metadata and metadata fields. That relieves users from having to fill out such fields themselves to classify documents, which they often don’t do well, if at all.

Insurance 116

Insurance Management Metadata Unstructured Data 116

erwin

OCTOBER 8, 2020

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

Data Governance 145

Data Governance Metadata Testing Data Lake 145

CIO Business Intelligence

MAY 24, 2022

The company said that IDMC for Financial Services has built-in metadata scanners that can help extract lineage, technical, business, operational, and usage metadata from over 50,000 systems (including data warehouses and data lakes) and applications including business intelligence, data science, CRM, and ERP software.

Finance 140

Finance Management Metadata Machine Learning 140

DataKitchen

AUGUST 3, 2021

First-generation – expensive, proprietary enterprise data warehouse and business intelligence platforms maintained by a specialized team drowning in technical debt. Discoverable – users have access to a catalog or metadata management tool which renders the domain discoverable and accessible.

Data Architecture 246

Data Architecture Data Lake Cost-Benefit Data Warehouse 246

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

Octopai

JANUARY 19, 2020

Metadata Management is the Key to Successful Data Governance Learn more in the webinar, "Metadata Management Automation for the Governance Minded" Watch the Webinar! BCBS 239 and Automated Metadata Management Tools. You may recognize the common thread running through all of these principles: Metadata.

Metadata 89

Metadata Risk Management Business Intelligence Data Governance 89

erwin

JANUARY 17, 2020

Data models provide visualization, create additional metadata and standardize data design across the enterprise. Bringing data to the business and making it easy to access and understand increases the value of data assets, providing a return-on-investment and a return-on-opportunity. SQL or NoSQL? The Advantages of NoSQL Data Modeling.

Data-driven 138

Data-driven Modeling Metadata Data Governance 138

Smart Data Collective

SEPTEMBER 26, 2021

An analyst can examine the data using business intelligence tools to derive useful information. . It’s a good idea to record metadata. Standardizing metadata helps ensure that information assets continue to meet the desired needs for the long term. Metadata makes the task a lot easier.

Metadata 130

Metadata Visualization Unstructured Data Data mining 130

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

CIO Business Intelligence

SEPTEMBER 19, 2024

This enables companies to directly access key metadata (tags, governance policies, and data quality indicators) from over 100 data sources in Data Cloud, it said. Additional to that, we are also allowing the metadata inside of Alation to be read into these agents.”

Data Governance 123

Data Governance Metadata Unstructured Data Structured Data 123

AWS Big Data

OCTOBER 11, 2023

Datasets used for generating insights are curated using materialized views inside the database and published for business intelligence (BI) reporting. The second streaming data source constitutes metadata information about the call center organization and agents that gets refreshed throughout the day.

Management 130

Management Metadata Analytics Dashboards 130

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. On the other hand, BI systems have gradually become the support of business management decisions and play an increasing role. In the end.

Metadata 98

Metadata Dashboards Informatics Visualization 98

erwin

MAY 27, 2020

What, then, should users look for in a data modeling product to support their governance/intelligence requirements in the data-driven enterprise? Provide metadata and schema visualization regardless of where data is stored. Have a process and mechanism to capture, document and integrate business and semantic metadata for data sources.

Modeling 98

Modeling Metadata Data Governance Visualization 98

CIO Business Intelligence

JUNE 14, 2024

How can business leaders balance these two conflicting considerations? Enter GenBI, the new generation of business intelligence GenBI aims to resolve this dilemma by marrying GenAI and business intelligence (BI).

Dashboards 124

Dashboards Visualization Business Intelligence Risk 124

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. Metadata management: Good data quality control starts with metadata management.

Data Quality 241

Data Quality Metrics Data-driven Management 241

TDAN

DECEMBER 5, 2023

In part one of “Metadata Governance: An Outline for Success,” I discussed the steps required to implement a successful data governance environment, what data to gather to populate the environment, and how to gather the data. In part two, I will discuss the “so what” aspects of data governance — that is, what types of […]

Metadata 52

Metadata Data Governance Data Quality Business Intelligence 52