IBM Big Data Hub

JULY 6, 2023

While data science and machine learning are related, they are very different fields. In a nutshell, data science brings structure to big data while machine learning focuses on learning from the data itself. What is data science? What is machine learning?

Machine Learning 60

Machine Learning Data Science Statistics Deep Learning 60

CIO Business Intelligence

NOVEMBER 14, 2022

A DSS leverages a combination of raw data, documents, personal knowledge, and/or business models to help users make decisions. The data sources used by a DSS could include relational data sources, cubes, data warehouses, electronic health records (EHRs), revenue projections, sales projections, and more.

Data mining 144

Data mining Data-driven Statistics OLAP 144

CIO Business Intelligence

FEBRUARY 16, 2023

My vision is that I can give the keys to my businesses to manage their data and run their data on their own, as opposed to the Data & Tech team being at the center and helping them out,” says Iyengar, director of Data & Tech at Straumann Group North America. The offensive side? The company’s Findability.ai

Unstructured Data 106

Unstructured Data Data Lake Prescriptive Analytics Digital Transformation 106

FineReport

JULY 28, 2021

Definition: BI vs Data Science vs Data Analytics. Business Intelligence describes the process of using modern data warehouse technology, data analysis and processing technology, data mining, and data display technology for visualizing, analyzing data, and delivering insightful information.

Business Intelligence 98

Business Intelligence Data Science Data Analytics Analytics 98

AWS Big Data

MARCH 26, 2024

This can be achieved using AWS Entity Resolution , which enables using rules and machine learning (ML) techniques to match records and resolve identities. Plan on how you can enable your teams to use ML to move from descriptive to prescriptive analytics.

Data Strategy 70

Data Strategy Strategy Data Warehouse Prescriptive Analytics 70

Sisense

JUNE 30, 2020

When BI and analytics users want to see analytics results, and learn from them quickly, they rely on data visualizations. Broadly, there are three types of analytics: descriptive , prescriptive , and predictive. And the data is as granular as the patient lists at individual family doctors’ surgeries.

Visualization 93

Visualization Analytics Dashboards Data-driven 93

Alation

AUGUST 26, 2021

Just as customer relationship management (CRM) software supports improved customer experience, so too DI software supports data culture. As an organizational discipline, data intelligence manifests in a number of practices, systems, and use cases. It relies on data intelligence software to be managed and optimized.

Metadata 64

Metadata Data Governance Dashboards Software 64