IBM Big Data Hub

JANUARY 25, 2024

Many asset-intensive businesses are prioritizing inventory optimization due to the pressures of complying with growing industry 4.0 Consider these questions: Do you have a platform that combines statistical analyses, prescriptive analytics and optimization algorithms? Results may vary.

Optimization 74

Optimization Cost-Benefit Prescriptive Analytics Manufacturing 74

CIO Business Intelligence

FEBRUARY 16, 2023

The next goal, with the aid of partner Findability Sciences, will be to build out ML and AI pipelines into an information delivery layer that can support predictive and prescriptive analytics. “As For that, he relied on a defensive and offensive metaphor for his data strategy. The offensive side?

Unstructured Data 104

Unstructured Data Data Lake Prescriptive Analytics Digital Transformation 104

FineReport

MARCH 24, 2024

Data analysts leverage four key types of analytics in their work: Prescriptive analytics: Advising on optimal actions in specific scenarios. Diagnostic analytics: Uncovering the reasons behind specific occurrences through pattern analysis.

Statistics 52

Statistics Data mining Visualization Reporting 52

AWS Big Data

MARCH 26, 2024

A Gartner Marketing survey found only 14% of organizations have successfully implemented a C360 solution, due to lack of consensus on what a 360-degree view means, challenges with data quality, and lack of cross-functional governance structure for customer data.

Data Strategy 69

Data Strategy Strategy Data Warehouse Prescriptive Analytics 69

IBM Big Data Hub

JANUARY 17, 2023

As part of a data fabric, IBM’s data integration capability creates a roadmap that helps organizations connect data from disparate data sources, build data pipelines, remediate data issues, enrich data quality, and deliver integrated data to multicloud platforms. Start a trial.

Data-driven 56

Data-driven Enterprise Data Governance Prescriptive Analytics 56

Alation

MARCH 21, 2023

As an industry with tight margins, travel and tourism companies can use analytics to detect trends that help them reduce costs, decide future product and service offerings, and develop successful business strategies. What are common data challenges for the travel industry? How is data analytics used in the travel industry?

Data Analytics 52

Data Analytics Analytics Data-driven Big Data 52

Smart Data Collective

OCTOBER 13, 2021

Data Virtualization can include web process automation tools and semantic tools that help easily and reliably extract information from the web, and combine it with corporate information, to produce immediate results. How does Data Virtualization manage data quality requirements? Prescriptive analytics.

Visualization 135

Visualization Cost-Benefit Big Data Prescriptive Analytics 135