CIO Business Intelligence

JANUARY 15, 2024

Her team spent about a year trying to understand the information landscape, the data, and the metadata schemas. Cleared for launch Bugbee is no stranger to data management and data stewardship. She cut her teeth in the field working to improve metadata quality in Data.gov and on President Obama’s Climate Data Initiative.

Informatics 131

Informatics Metadata Data mining Digital Transformation 131

FineReport

MAY 6, 2020

Framework Big Data Processing: Hadoop, storm, spark. Data Warehous: SSIS, SSAS. Artificial Intelligence (Kecerdasan Buatan). Skill Data Mining: Matlab, R, Python. Seperti yang Anda ketahui, statistik adalah dasar analisis data. Statistik juga adalah sebuah skill utama seorang data analyst.

Data mining 98

Data mining Data Warehouse Machine Learning Big Data 98

CIO Business Intelligence

OCTOBER 13, 2023

A framework for managing data The top 8 data engineer and data architect certifications Essential skills and traits of elite data scientists Developing data science skills in-house: Real-world lessons The age of the citizen data scientist has arrived Data Management, Data Mining, Master Data Management

Data Architecture 132

Data Architecture Data Warehouse Statistics Visualization 132

CIO Business Intelligence

SEPTEMBER 18, 2023

Network planners, for example, work across many legacy systems with data elements that are complex and varied and with systems ranging from engineering, inventory, provisioning, and activating network functions, Verizon representatives explain.

Data mining 111

Data mining Testing Metadata Enterprise 111

TDAN

NOVEMBER 17, 2020

There is a great deal of talk in our industry about the importance of having common, standard data semantics and language and the value this brings. However, I think one of the greatest obstacles in achieving this is what I call data ‘mine’ing. I am not talking about ‘data mining’ meaning, “the process of collecting, […].

Data mining 82

Data mining Metadata Data Governance Business Intelligence 82

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

IBM Big Data Hub

MARCH 14, 2024

This involves unifying and sharing a single copy of data and metadata across IBM® watsonx.data ™, IBM® Db2 ®, IBM® Db2® Warehouse and IBM® Netezza ®, using native integrations and supporting open formats, all without the need for migration or recataloging. .

Cost-Benefit 75

Cost-Benefit Metadata Optimization Management 75

Rita Sallam

JULY 22, 2016

By contrast, traditional BI platforms are designed to support modular development of IT-produced analytic content, specialized tools and skills, and significant upfront data modeling, coupled with a predefined metadata layer, is required to access their analytic capabilities.

Analytics 40

Analytics Business Intelligence Metadata Statistics 40

Peter James Thomas

AUGUST 18, 2018

From 2000 to 2015, I had some success [5] with designing and implementing Data Warehouse architectures much like the following: As a lot of my work then was in Insurance or related fields, the Analytical Repositories tended to be Actuarial Databases and / or Exposure Management Databases, developed in collaboration with such teams.

Data Lake 63

Data Lake Data Warehouse Data mining Statistics 63

Jet Global

MAY 1, 2023

Learn how embedded analytics are different from traditional business intelligence and what analytics users expect. Embedded Analytics Definition Embedded analytics are the integration of analytics content and capabilities within applications, such as business process applications (e.g., that gathers data from many sources.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52