TDAN

APRIL 6, 2021

A metadata-driven data warehouse (MDW) offers a modern approach that is designed to make EDW development much more simplified and faster. It makes use of metadata (data about your data) as its foundation and combines data modeling and ETL functionalities to build data warehouses.

Data Warehouse 52

Data Warehouse Metadata Data-driven Modeling 52

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 52

Metadata Management Business Intelligence Data Governance 52

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 52

Metadata Data Governance Digital Transformation Data Quality 52

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. Foundation models: The power of curated datasets Foundation models , also known as “transformers,” are modern, large-scale AI models trained on large amounts of raw, unlabeled data.

Risk 78

Risk Modeling Management Metadata 78

Octopai

MARCH 16, 2020

Access all your business intelligence processes and information from wherever you are, on a single centralized cloud metadata platform. Well before this coronavirus pandemic, zero-touch or remote work had already been revolutionizing the way businesses operate.

Business Intelligence 52

Business Intelligence Metadata Data Processing Reporting 52

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. Is the cost based on quantity of assets, usage, users or another pricing model? Figures and points to take into account: Onboarding costs Ongoing costs (are the costs straightforward?

Business Intelligence 84

Business Intelligence Software Cost-Benefit Metadata 84

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

CIO Business Intelligence

APRIL 25, 2024

The zero-copy pattern helps customers map the data from external platforms into the Salesforce metadata model, providing a virtual object definition for that object. “It When released, this will extend zero-copy data access to any open data lake or lakehouse that stores data in Iceberg or can provide Iceberg metadata for its table.

Data Integration 114

Data Integration Data Lake Metadata Data Warehouse 114

Rocket-Powered Data Science

SEPTEMBER 20, 2021

They realized that the search results would probably not provide an answer to my question, but the results would simply list websites that included my words on the page or in the metadata tags: “Texas”, “Cows”, “How”, etc. The semantic layer bridges the gaps between the data cloud, the decision-makers, and the data science modelers.

Data Science 285

Data Science Forecasting Business Intelligence Sales 285

AWS Big Data

MAY 7, 2024

Data governance is a key enabler for teams adopting a data-driven culture and operational model to drive innovation with data. Figure 1: Flow of actions for self-service analytics around data assets stored in relational databases First, the data producer needs to capture and catalog the technical metadata of the data asset.

Metadata 72

Metadata Data Lake Data Processing Data-driven 72

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.

Testing 176

Testing Data Quality Predictive Modeling Metrics 176

AWS Big Data

JULY 14, 2023

Defining and capturing a business capability model If an enterprise doesn’t have a system to capture the business capability model, consider defining and finding a way to capture the model for better insight and visibility, and then map it with digital assets like APIs.

Modeling 67

Modeling Visualization Reporting Measurement 67

Jen Stirrup

MARCH 29, 2023

However, to turn data into a business problem, organizations need support to move away from technical issues to start getting value as quickly as possible. SAP Datasphere simplifies data integration, cataloging, semantic modeling, warehousing, federation, and virtualization through a unified interface. Why is this interesting?

Metadata 120

Metadata Data Warehouse Data Integration Business Intelligence 120

CIO Business Intelligence

MARCH 18, 2024

Developers of risky generative AI models are now free to release them without government approval, but are being encouraged to self-regulate by adding labels to the output of their models warning of their potential unreliability. Akshara Bassi, senior analyst at Counterpoint, weighed in on the implications for AI model developers.

Metadata 78

Metadata Visualization Modeling Risk 78

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

CIO Business Intelligence

MAY 10, 2023

As companies open this “pandora’s box” of new capabilities, they must be prepared to manage data inputs and outputs in secure ways or risk allowing their private data to be consumed in public AI models. AI relies upon large sets of data fed into it to help create output but is limited by the quality of data that is consumed by the model.

Metadata 98

Metadata Data Governance Modeling Technology 98

Ontotext

AUGUST 4, 2023

A data fabric utilizes an integrated data layer over existing, discoverable, and inferenced metadata assets to support the design, deployment, and utilization of data across enterprises, including hybrid and multi-cloud platforms. It also helps capture and connect data based on business or domains.

Metadata 52

Metadata Data-driven Data Architecture Data Quality 52

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.

Metadata 98

Metadata Dashboards Informatics Visualization 98

CIO Business Intelligence

MARCH 24, 2023

The Data Governance Institute defines it as “a system of decision rights and accountabilities for information-related processes, executed according to agreed-upon models which describe who can take what actions with what information, and when, under what circumstances, using what methods.”

Data Governance 142

Data Governance Management Metadata Data Quality 142

AWS Big Data

OCTOBER 11, 2023

Also, a data model that allows table truncations at a regular frequency (for example, every 15 seconds) to store only relevant data in tables can cause locking and performance issues. Datasets used for generating insights are curated using materialized views inside the database and published for business intelligence (BI) reporting.

Management 101

Management Metadata Analytics Dashboards 101

Octopai

AUGUST 19, 2020

Businesses across the globe have been forced to adapt their business models, technologies, and strategies to address the ongoing challenges of the COVID-19 pandemic. Business intelligence (BI) is no exception. This ensures that business can continue as usual – even during a pandemic.

Metadata 98

Metadata Digital Transformation Management Business Intelligence 98

CIO Business Intelligence

OCTOBER 13, 2023

Solutions data architect: These individuals design and implement data solutions for specific business needs, including data warehouses, data marts, and data lakes. Application data architect: The application data architect designs and implements data models for specific software applications.

Data Architecture 131

Data Architecture Data Warehouse Statistics Visualization 131

CIO Business Intelligence

MARCH 6, 2024

Salesforce has a major advantage over many of its rivals, simply because it captures so much interaction data from its user base, and as such, the models are able to be trained on a massive number of Salesforce-specific tasks and processes, and the related metadata,” said Keith Kirkpatrick, research director at The Futurum Group.

IT 111

IT Metadata Interactive Enterprise 111

Octopai

MAY 31, 2022

Business intelligence is the primary place where your data becomes an asset. But the data needs to be managed so that it can be leveraged as an asset, driving your business forward and creating positive ROI. Bonus tool: active metadata management. If you want your data to be a business asset, treat it like one.

Management 52

Management Metadata Business Intelligence ROI 52

AWS Big Data

APRIL 26, 2023

Having an accurate and up-to-date inventory of all technical assets helps an organization ensure it can keep track of all its resources with metadata information such as their assigned oners, last updated date, used by whom, how frequently and more. Enables a hub-and-spoke model for Data Access in multiple AWS accounts in a data mesh fashion.

Metadata 52

Metadata Dashboards Visualization Consulting 52

CIO Business Intelligence

JULY 6, 2023

The first tier, according to Batta, consists of its OCI Supercluster service and is targeted at enterprises, such as Cohere or Hugging Face, that are working on developing large language models to further support their customers. Trailing other generative AI service offerings?

Strategy 98

Strategy Metadata Enterprise Modeling 98

AWS Big Data

MAY 1, 2024

Provide and keep up to date with technical metadata for loaded data. Configure business intelligence (BI) dashboards to provide data-driven insights to end-users targeted by the consumer’s project. Responsibilities include: Load raw data from the data source system at the appropriate frequency.

Dashboards 107

Dashboards Data-driven Publishing Cost-Benefit 107

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

Octopai

APRIL 16, 2020

Businesses around the globe have been forced to reassess the way they conduct their operations, even if their methods have been in place for decades. Some business intelligence professionals are not only contributing to their organization’s survival during these difficult times; they are actually helping it thrive.

Metadata 59

Metadata Business Intelligence Uncertainty Data Quality 59

DataKitchen

OCTOBER 11, 2021

Based on business rules, additional data quality tests check the dimensional model after the ETL job completes. 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. Priyanjna Sharma.

Testing 157

Testing Metadata Dashboards Statistics 157

CIO Business Intelligence

DECEMBER 13, 2023

and applying and enriching metadata helps organizations take a big step toward innovating with generative AI. Digitizing relevant physical assets and objects, such as those core samples, IT equipment, office equipment, etc.

Unstructured Data 98

Unstructured Data IoT Metadata Manufacturing 98

IBM Big Data Hub

NOVEMBER 4, 2022

When a sophisticated AI/ML model confronts bad-quality data, it is the latter that usually wins. As organizations increasingly rely on AI/ML for critical business decisions, the role of a trusted data foundation that delivers high-quality data is paramount. Why does data quality matter across the data lifecycle? Analytics and AI.

Data Quality 57

Data Quality Metadata Data Governance Data-driven 57

CIO Business Intelligence

FEBRUARY 20, 2024

A number of industry leaders are already experimenting with advanced AI use cases, including Denso, a leading mobility supplier that develops advanced technology and components for nearly every vehicle make and model on the road today. Denso uses AI to verify the structuring of unstructured data from across its organisation.

Data Architecture 90

Data Architecture Unstructured Data Manufacturing IT 90

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

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

DECEMBER 16, 2022

It uses metadata and data management tools to organize all data assets within your organization. It synthesizes the information across your data ecosystem—from data lakes, data warehouses, and other data repositories—to empower authorized users to search for and access business-ready data for their projects and initiatives.

Metadata 52

Metadata Data Quality Data-driven Data Governance 52

DataKitchen

AUGUST 3, 2021

First-generation – expensive, proprietary enterprise data warehouse and business intelligence platforms maintained by a specialized team drowning in technical debt. DDD divides a system or model into smaller subsystems called domains. The past decades of enterprise data platform architectures can be summarized in 69 words.

Data Architecture 246

Data Architecture Data Lake Cost-Benefit Data Warehouse 246