CIO Business Intelligence

APRIL 28, 2023

New rules around data sovereignty are designed to keep data out of the hands of other countries, bad actors, and those without authorised access. Data sovereignty is the right to control citizens’ data collection, ownership, and application.

Metadata 52

Metadata Data Collection Management Strategy 52

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). This makes it an effective and cost-efficient system for extracting entities from large-scale data collections.

Cost-Benefit 52

Cost-Benefit Modeling Metadata Optimization 52

CIO Business Intelligence

MARCH 23, 2023

New rules around data sovereignty are designed to keep data out of the hands of other countries, bad actors, and those without authorized access. Data sovereignty is the right to control citizens’ data collection, ownership, and application. based companies in the public cloud computing market.

Metadata 52

Metadata Data Governance Data Collection Strategy 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. Overall, as users’ data sources become more extensive, their preferences for BI are changing. Metadata management.

Metadata 98

Metadata Dashboards Informatics Visualization 98

Alation

JANUARY 17, 2023

A typical modern data stack consists of the following: A data warehouse. Data ingestion/integration services. Data orchestration tools. Business intelligence (BI) platforms. These tools are used to manage big data, which is defined as data that is too large or complex to be processed by traditional means.

Data Warehouse 52

Data Warehouse Cost-Benefit Data Transformation Business Intelligence 52

CIO Business Intelligence

SEPTEMBER 22, 2023

Deploying a DMP can be a great way for companies to navigate a business world dominated by data, and these platforms have become the lifeblood of digital marketing today. In these instances, data feeds come largely from advertising channels, and the reports they generate are designed to help marketers spend wisely.

Management 105

Management Advertising Data Lake Sales 105

datapine

JANUARY 31, 2022

Using business intelligence and analytics effectively is the crucial difference between companies that succeed and companies that fail in the modern environment. Experience the power of Business Intelligence with our 14-days free trial! Why Is Business Intelligence So Important?

Business Intelligence 214

Business Intelligence Analytics Cost-Benefit ROI 214

CIO Business Intelligence

JUNE 9, 2022

Lately, however, the term has been adopted by marketing teams, and many of the data management platforms vendors currently offer are tuned to their needs. In these instances, data feeds come largely from various advertising channels, and the reports they generate are designed to help marketers spend wisely.

Management 144

Management Advertising Data Lake Sales 144

AWS Big Data

FEBRUARY 21, 2023

It is a data modeling methodology designed for large-scale data warehouse platforms. What is a data vault? The data vault approach is a method and architectural framework for providing a business with data analytics services to support business intelligence, data warehousing, analytics, and data science needs.

Data Warehouse 64

Data Warehouse Data Lake Cost-Benefit Modeling 64

Domino Data Lab

JULY 22, 2019

It’s like why on earth would any business people care about anything called tensor? Now, Google is spending what, 10 figures marketing TensorFlow? One application of this is regarding data governance. Then in the bottom tier, you had your data management, your back office, right? Five years ago, people laughed.

Data Science 109

Data Science Machine Learning Data Governance Modeling 109

Domino Data Lab

JANUARY 21, 2021

Additionally, the Python ecosystem is flush with open source development projects that maintain the language’s relevancy in the face of new techniques in the field of data science. It’s worth noting that there is a landscape of proprietary tools dedicated to producing descriptive analytics in the name of business intelligence.

Statistics 106

Statistics Unstructured Data Data Science Predictive Modeling 106

Alation

DECEMBER 15, 2021

Modern business is built on a foundation of trusted data. Yet high-volume collection makes keeping that foundation sound a challenge, as the amount of data collected by businesses is greater than ever before. At the same time, it enhances data security and compliance programs.

Data Governance 52

Data Governance Strategy Metadata Data Strategy 52

IBM Big Data Hub

AUGUST 4, 2023

By leveraging data services and APIs, a data fabric can also pull together data from legacy systems, data lakes, data warehouses and SQL databases, providing a holistic view into business performance. It uses knowledge graphs, semantics and AI/ML technology to discover patterns in various types of metadata.

Data Architecture 65

Data Architecture Data Lake Machine Learning Data Governance 65

Alation

SEPTEMBER 1, 2022

We’re thrilled to be recognized in this new category, which aligns closely with our vision for the future of this market. The Business Application Research Center (BARC) is a European analyst firm headquartered in Germany. Get the new IDC Marketscape for Data Catalogs to learn more. What goes into a Data Intelligence Platform?

Reporting 52

Reporting Metadata Data Governance Interactive 52

Alation

AUGUST 26, 2021

What Is Data Intelligence? Data intelligence is a system to deliver trustworthy, reliable data. It includes intelligence about data, or metadata. IDC coined the term, stating, “data intelligence helps organizations answer six fundamental questions about data.”

Metadata 64

Metadata Data Governance Dashboards Software 64

Jet Global

MAY 1, 2023

Section 2: Embedded Analytics: No Longer a Want but a Need Section 3: How to be Successful with Embedded Analytics Section 4: Embedded Analytics: Build versus Buy Section 5: Evaluating an Embedded Analytics Solution Section 6: Go-to-Market Best Practices Section 7: The Future of Embedded Analytics Section 1: What are Embedded Analytics?

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52