CIO Business Intelligence

DECEMBER 22, 2022

“For example, this style makes it more feasible for data scientists to have the support of software engineering to provide what is needed when models are handed over to operations during deployment,” Ted Dunning and Ellen Friedman write in their book, Machine Learning Logistics.

Analytics 130

Analytics Machine Learning Data mining Data Quality 130

FineReport

MARCH 31, 2024

Acting as a comprehensive solution, the best BI tools collect and analyze company data to generate easily interpretable graphs, reports, and charts , leveraging advanced data mining, analytics, and visualization techniques. Best BI Tools for Data Analysts 3.1 It can be deployed independently or seamlessly integrated.

Dashboards 52

Dashboards Visualization Data mining Data-driven 52

Jet Global

MAY 9, 2024

Data Extraction : The process of gathering data from disparate sources, each of which may have its own schema defining the structure and format of the data and making it available for processing. This can include tasks such as data ingestion, cleansing, filtering, aggregation, or standardization.

Data Lake 52

Data Lake Data Warehouse Business Intelligence Machine Learning 52

Jet Global

NOVEMBER 7, 2023

The Challenges of Extracting Enterprise Data Currently, various use cases require data extraction from your OCA ERP, including data warehousing, data harmonization, feeding downstream systems for analytical or operational purposes, leveraging data mining, predictive analysis, and AI-driven or augmented BI disciplines.

Enterprise 52

Enterprise Data Warehouse Operational Reporting Reporting 52

Jet Global

MAY 1, 2023

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.” Strategic Objective Create a complete, user-friendly view of the data by preparing it for analysis. Standalone is a thing of the past. addresses).

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52