Octopai

JUNE 26, 2020

Data governance tools are available to help ensure availability, usability, consistency, data integrity and data security. This helps establish clear processes for effective data management throughout the enterprise. Metadata is essentially the ‘data about data.’ Automated metadata governance.

Metadata 84

Metadata Data Governance Enterprise Reporting 84

Ontotext

JANUARY 6, 2021

Next, the data needs to be sifted through to better understand what you have and most importantly what you are missing. After that, the data needs to be cleaned. That means removing errors, filling in missing information and harmonizing the various data sources so that there is consistency.

Metadata 59

Metadata Unstructured Data Cost-Benefit Enterprise 59

Ontotext

MARCH 8, 2023

Specifically, the increasing amount of data being generated and collected, and the need to make sense of it, and its use in artificial intelligence and machine learning, which can benefit from the structured data and context provided by knowledge graphs. We get this question regularly.

Enterprise 52

Enterprise Knowledge Discovery Risk Data-driven 52

Ontotext

JANUARY 10, 2024

In such an environment, it is a massive challenge to integrate information across various functions and units and their specific operational IT systems. And each of these gains requires data integration across business lines and divisions. So, they become very data-driven.

Metadata 72

Metadata Slice and Dice Data Integration Enterprise 72

Alation

MAY 16, 2023

Many organizations use data visualization to identify patterns or consumer trends and communicate findings to stakeholders better. Data Integration A data pipeline can be used to gather data from various disparate sources in one data store.

Data Lake 69

Data Lake Data Governance Data Warehouse Data Processing 69

AWS Big Data

MARCH 26, 2024

This view is used to identify patterns and trends in customer behavior, which can inform data-driven decisions to improve business outcomes. In this post, we discuss how you can use purpose-built AWS services to create an end-to-end data strategy for C360 to unify and govern customer data that address these challenges.

Data Strategy 70

Data Strategy Strategy Data Warehouse Prescriptive Analytics 70

Alation

MAY 16, 2023

Many organizations use data visualization to identify patterns or consumer trends and communicate findings to stakeholders better. Data Integration A data pipeline can be used to gather data from various disparate sources in one data store.

Data Lake 40

Data Lake Data Governance Data Warehouse Data Processing 40

Ontotext

JULY 29, 2021

KGs bring the Semantic Web paradigm to the enterprises, by introducing semantic metadata to drive data management and content management to new levels of efficiency and breaking silos to let them synergize with various forms of knowledge management. Schema.org and Linked Open Data are just two incarnations of the Semantic Web vision.

Enterprise 124

Enterprise Metadata Knowledge Discovery Management 124

Ontotext

MAY 30, 2019

Would Johnny be better off if the data to be transferred was Linked Data? Had Johny known and used semantic technology, and more specifically Linked Data, to “transport” tons of bits of information, would he have been better off as a data carrier? A Headful of Linked Data. Let’s find out. Retrieval and 3.

Cost-Benefit 87

Cost-Benefit Technology Big Data Metadata 87

Ontotext

MAY 30, 2019

In this article, we are bringing science fiction to the semantic technology (and data management) talk to shed some light on three common data challenges: the storage, retrieval and security of information. We will talk through these from the perspective of Linked Data (and cyberpunk). A Headful of Linked Data.

Cost-Benefit 75

Cost-Benefit Technology Big Data Metadata 75

Alation

OCTOBER 28, 2021

Leaders are asking how they might use data to drive smarter decision making to support this new model and improve medical treatments that lead to better outcomes. Healthcare organizations need to manage and protect sensitive information in a consistent, secure, and organized way. Why Is Data Governance in Healthcare Important?

Data Governance 52

Data Governance Measurement Metrics Modeling 52

DataRobot Blog

APRIL 1, 2018

Today, data integration is moving closer to the edges – to the business people and to where the data actually exists – the Internet of Things (IoT) and the Cloud. 4 Data and analytics leaders, CDOs, and executives will increasingly work together to develop creative ways for data assets to generate new revenue streams.

Analytics 40

Analytics IoT Internet of Things B2B 40

FineReport

JULY 18, 2022

In an era full of data, data analysis allows us to discover the most useful information and make more scientific decisions for business operations. Data analysis tools are widely used by data analysts as well as non-professional business people to achieve better performance and higher efficiency. From KNIME.

Forecasting 52

Forecasting Dashboards Visualization Statistics 52

AWS Big Data

JULY 12, 2023

Organizations use their data to extract valuable insights and drive informed business decisions. A comprehensive testing framework ensures that your models consistently deliver accurate and reliable data, while modularity enables faster development via component reusability.

Data Warehouse 52

Data Warehouse Modeling Dashboards Data Lake 52

erwin

AUGUST 31, 2023

In today’s fast-paced digital landscape, data reigns supreme. The data-driven enterprise relies on accurate, accessible, and actionable information to make strategic decisions and drive innovation. The benefits Data modeling serves as the blueprint for organizing and structuring data, offering a plethora of benefits.

Data-driven 98

Data-driven Modeling Enterprise Structured Data 98

Jet Global

MAY 9, 2024

Batch processing pipelines are designed to decrease workloads by handling large volumes of data efficiently and can be useful for tasks such as data transformation, data aggregation, data integration , and data loading into a destination system. How is ELT different from ETL?

Data Lake 52

Data Lake Data Warehouse Business Intelligence Machine Learning 52

Jet Global

MARCH 13, 2024

While Microsoft Dynamics is a powerful platform for managing business processes and data, Dynamics AX users and Dynamics 365 Finance & Supply Chain Management (D365 F&SCM) users are only too aware of how difficult it can be to blend data across multiple sources in the Dynamics environment. Privacy Policy.

Reporting 52

Reporting Finance Data Quality Sales 52