CIO Business Intelligence

JUNE 7, 2022

The chief aim of data analytics is to apply statistical analysis and technologies on data to find trends and solve problems. Data analytics has become increasingly important in the enterprise as a means for analyzing and shaping business processes and improving decision-making and business results.

Data Analytics 129

Data Analytics Diagnostic Analytics Management Analytics 129

Rocket-Powered Data Science

OCTOBER 6, 2023

There are other dimensions of analytics that tend to focus on hindsight for business reporting and causal analysis – these are descriptive and diagnostic analytics, respectively, which are primarily reactive applications, mostly explanatory and investigatory, not necessarily actionable. This is predictive power discovery.

Business Analytics 157

Business Analytics Prescriptive Analytics Analytics Diagnostic Analytics 157

CIO Business Intelligence

JULY 5, 2022

Descriptive analytics uses historical and current data to describe the organization’s present state by identifying trends and patterns. Predictive analytics: What is likely to happen in the future? Prescriptive analytics: What do we need to do? Examples of business analytics. This is the purview of BI.

Business Analytics 126

Business Analytics Prescriptive Analytics Data mining Diagnostic Analytics 126

IBM Big Data Hub

SEPTEMBER 19, 2023

Having the right data strategy and data architecture is especially important for an organization that plans to use automation and AI for its data analytics. The types of data analytics Predictive analytics: Predictive analytics helps to identify trends, correlations and causation within one or more datasets.

Data Science 78

Data Science Data Analytics Prescriptive Analytics Analytics 78

bridgei2i

APRIL 30, 2020

BRIDGEi2i is recognized as cool for its advanced analytics solution, BRIDGEfunnel, an AI-based diagnostic analytics tool, supported by predictive analytics functions, that can be used in lieu of enterprise-grade advanced analytics platforms. Email: venkat.subramanian@bridgei2i.com.

Sales 66

Sales Technology Diagnostic Analytics Contextual Data 66

BizAcuity

MARCH 31, 2022

Enterprise Artificial Intelligence. Enterprise Artificial intelligence (AI) is a common jargon used to refer to how an organization integrates artificial intelligence (AI) into its infrastructure to drive digital transformation. The aim of predictive analytics is, as the name suggests, to predict and forecast outcomes.

Data Analytics 52

Data Analytics Analytics Prescriptive Analytics Predictive Analytics 52

Birst BI

FEBRUARY 13, 2018

Constellation Research predicts that by 2020, 60 percent of mission-critical data will be accessed, rather than owned by enterprises – with external sources including SaaS, social networks, third-party enrichment data and partner information. Data-management capabilities, including data integration and self-service data preparation.

Business Intelligence 66

Business Intelligence Diagnostic Analytics Analytics Visualization 66