CIO Business Intelligence

OCTOBER 4, 2023

Certified Information Systems Auditor (CISA); PMI Program, Portfolio, and Risk Management Professionals (PgMP, PfMP and PMI-RMP); Six Sigma Black Belt and Master Black Belt; Certified in Governance, Risk, and Compliance (ISC2); and Certified in Risk and Information Systems Control (CRISC) also drew large premiums.

Prescriptive Analytics 135

Prescriptive Analytics IT Machine Learning Risk 135

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 135

Data Analytics Diagnostic Analytics Management Analytics 135

IBM Big Data Hub

JANUARY 25, 2024

Considering that IDC surveyed 37% of companies that manage spare parts inventory by using spreadsheets, email, shared folders or an uncertain approach, it becomes evident that this practice carries more risk than it might seem. 2 Unless your demand forecasting is accurate, adopting a reactive approach might prove less efficient.

Optimization 74

Optimization Cost-Benefit Prescriptive Analytics Manufacturing 74

FineReport

MARCH 24, 2024

Rapid technological advancements and extensive networking have propelled the evolution of data analytics, fundamentally reshaping decision-making practices across various sectors. Data analysts leverage four key types of analytics in their work: Prescriptive analytics: Advising on optimal actions in specific scenarios.

Statistics 52

Statistics Data mining Visualization Reporting 52

Smarten

MAY 31, 2022

The technology research firm, Gartner has predicted that, ‘predictive and prescriptive analytics will attract 40% of net new enterprise investment in the overall business intelligence and analytics market.’ Descriptive Statistics. Competitive Changes. Market Changes. Trends and Patterns. Trends and Patterns.

Predictive Analytics 67

Predictive Analytics Analytics Predictive Modeling Prescriptive Analytics 67

IBM Big Data Hub

JULY 6, 2023

Areas making up the data science field include mining, statistics, data analytics, data modeling, machine learning modeling and programming. Ultimately, data science is used in defining new business problems that machine learning techniques and statistical analysis can then help solve.

Machine Learning 55

Machine Learning Data Science Statistics Deep Learning 55

Cloudera

MARCH 2, 2018

And entirely new utility start-ups such as Drift use machine learning technologies to provide customers with cheaper wholesale energy prices by more accurately predicting consumption. In the nonprofit sector, early applications of data analytics and machine learning have mostly focused on improving fundraising and marketing.

Data-driven 43

Data-driven Prescriptive Analytics Descriptive Analytics Machine Learning 43