CIO Business Intelligence

FEBRUARY 16, 2023

Now, the team’s information architects, in conjunction with business analysts, are working on the semantic layer, which feeds data from data warehouses and data lakes into data marts, including a finance mart, sales mart, supply chain mart, and market mart. Analytics, Artificial Intelligence, Data Management, Predictive Analytics

Unstructured Data 105

Unstructured Data Data Lake Prescriptive Analytics Data Warehouse 105

BizAcuity

MARCH 31, 2022

Combined, it has come to a point where data analytics is your safety net first, and business driver second. As a result, finance, logistics, healthcare, entertainment media, casino and ecommerce industries witness the most AI implementation and development. AI in Finance. AI applications can also be very niche specific.

Data Analytics 52

Data Analytics Analytics Prescriptive Analytics Predictive Analytics 52

Jedox

JULY 31, 2018

Now, we will take a deeper look into AI, Machine learning and other trending technologies and the evolution of data analytics from descriptive to prescriptive. Analytic Evolution in Enterprise Performance Management. Advanced analytics responds to next-generation requirements. This is known as prescriptive analytics.

Technology 44

Technology Prescriptive Analytics Machine Learning Business Intelligence 44

Sisense

SEPTEMBER 12, 2019

With a goal of getting to the end of the chart with predictive and prescriptive analytics, you can ask questions like: Are we going to hit our targets by the end of the year? When working with customers we’ve found that a good place to start is with finance and sales data. Do you want to be more efficient?

Strategy 81

Strategy Dashboards Diagnostic Analytics Prescriptive Analytics 81

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. Descriptive analytics: Assessing historical trends, such as sales and revenue.

Statistics 52

Statistics Data mining Visualization Reporting 52

Andrew White

JANUARY 11, 2021

Government, Finance, … Tough question…mostly as it’s hard to determine which industry due to different uses and needs of D&A. As such banking, finance, insurance and media are good examples of information-based industries compared to manufacturing, retail, and so on. Does this promote efficiency? We see both too.

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52

Jet Global

MAY 1, 2023

Diagnostic Analytics: No longer just describing. Predictive Analytics: If x, then y (e.g., Prescriptive Analytics: Here’s what to do to achieve a desired outcome (e.g., Prescriptive Analytics: Here’s what to do to achieve a desired outcome (e.g., Interest in predictive analytics continues to grow.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52