CIO Business Intelligence

MARCH 24, 2023

The Business Application Research Center (BARC) warns that data governance is a highly complex, ongoing program, not a “big bang initiative,” and it runs the risk of participants losing trust and interest over time. The program must introduce and support standardization of enterprise data.

Data Governance 142

Data Governance Management Metadata Data Quality 142

Smart Data Collective

APRIL 8, 2020

Data warehouse, also known as a decision support database, refers to a central repository, which holds information derived from one or more data sources, such as transactional systems and relational databases. The data collected in the system may in the form of unstructured, semi-structured, or structured data.

Technology 134

Technology Data Warehouse Big Data Machine Learning 134

IBM Big Data Hub

SEPTEMBER 19, 2023

Though you may encounter the terms “data science” and “data analytics” being used interchangeably in conversations or online, they refer to two distinctly different concepts.

Data Science 77

Data Science Data Analytics Prescriptive Analytics Analytics 77

Sisense

APRIL 26, 2020

Datasets are exploding at an ever-accelerating rate, so collecting and analyzing data to maximum effect is crucial. Companies and businesses focus a lot on data collection in order to make sure they can get valuable insights out of it. Understanding data structure is a key to unlocking its value.

Unstructured Data 52

Unstructured Data Data Warehouse Structured Data Data mining 52

erwin

JUNE 11, 2020

Data Intelligence is the analysis of multifaceted data to be used by companies to improve products and services offered and better support investments and business strategies in place. Data intelligence can encompass both internal and external business data and information. Transforming Industries with Data Intelligence.

Key Performance Indicator 103

Key Performance Indicator KPI Data-driven Machine Learning 103

Domino Data Lab

MAY 20, 2021

Insufficient training data in the minority class — In domains where data collection is expensive, a dataset containing 10,000 examples is typically considered to be fairly large. References. Data mining for direct marketing: Problems and solutions. Banko, M., & Brill, E. 30(2–3), 195–215. link] Ling, C.

Machine Learning 136

Machine Learning Metrics Data mining Knowledge Discovery 136

Domino Data Lab

AUGUST 1, 2021

The surrogate model is often a simple linear model or a decision tree, which are innately interpretable, so the data collected from the perturbations and the corresponding class output can provide a good indication on what influences the model’s decision. References. Conference on Knowledge Discovery and Data Mining, pp.

Modeling 139

Modeling Deep Learning Machine Learning Knowledge Discovery 139

Jet Global

MAY 9, 2024

ETL is a specific type of data pipeline that focuses on the process of extracting data from sources, transforming it, and loading it into a destination, such as a data warehouse or data lake. ETL is primarily used for data warehousing and business intelligence applications.

Data Lake 52

Data Lake Data Warehouse Business Intelligence Machine Learning 52

Jet Global

MAY 1, 2023

that gathers data from many sources. Users Want to Help Themselves Data mining is no longer confined to the research department. Today, every professional has the power to be a “data expert.” Let’s just give our customers access to the data. References Ask to speak to existing customers in similar verticals.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52