CIO Business Intelligence

JUNE 7, 2022

More specifically: Descriptive analytics uses historical and current data from multiple sources to describe the present state, or a specified historical state, by identifying trends and patterns. Diagnostic analytics uses data (often generated via descriptive analytics) to discover the factors or reasons for past performance.

Data Analytics 135

Data Analytics Diagnostic Analytics Management Analytics 135

BizAcuity

AUGUST 26, 2019

This is what makes the casino industry a great use case for prescriptive analytics technologies and applications. The need for prescriptive analytics. Prescriptive analytics is the area of business analytics (BA) dedicated to finding the best course of action for a given situation.

Prescriptive Analytics 40

Prescriptive Analytics Analytics Descriptive Analytics Predictive Analytics 40

Cloudera

JULY 18, 2018

The combined solution is the right starting point for introducing machine learning and AI into clinical workflow and care delivery, enabling enterprises to take advantage of complete descriptive, predictive, and prescriptive analytic capabilities. Author: Ryan Swenson, Global Leader, Cloudera Healthcare and Life Sciences.

Machine Learning 51

Machine Learning Predictive Analytics Analytics Prescriptive Analytics 51

Jedox

JANUARY 29, 2019

In today’s organizations, the role of financial controlling or FP&A is not only to provide financial insights so business partners can make better decisions, but it is also to lead the way towards a more mature use of analytics technology including predictive analytics for sales forecasting. Making AI Real (Part 2).

Predictive Analytics 41

Predictive Analytics Forecasting Sales Analytics 41

Sisense

JUNE 30, 2020

The simplest type, descriptive analytics , describes something that has already happened and suggests its root causes. Predictive analytics is the most beneficial, but arguably the most complex type. Predictive analytics is the most beneficial, but arguably the most complex type.

Visualization 93

Visualization Analytics Dashboards Data-driven 93

BizAcuity

MARCH 31, 2022

85% of AI (marketing) projects fail due to risk, confusion, and lack of upskilling among marketing teams.(Source: Not just banking and financial services, but many organizations use big data and AI to forecast revenue, exchange rates, cryptocurrencies and certain macroeconomic variables for hedging purposes and risk management.

Data Analytics 52

Data Analytics Analytics Prescriptive Analytics Predictive Analytics 52

Cloudera

MARCH 2, 2018

Applying data analytics and machine learning to large raw datasets will likely also yield us new and unexpected insights as these techniques and tools allow us to unearth patterns and seek potential explanations for those in contrast to responding to a predefined set of questions.

Data-driven 43

Data-driven Prescriptive Analytics Machine Learning Descriptive Analytics 43

AWS Big Data

MARCH 26, 2024

You can use third-party data products from AWS Marketplace delivered through AWS Data Exchange to gain insights on income, consumption patterns, credit risk scores, and many more dimensions to further refine the customer experience. Plan on how you can enable your teams to use ML to move from descriptive to prescriptive analytics.

Data Strategy 99

Data Strategy Strategy Data Warehouse Prescriptive Analytics 99

Domino Data Lab

JUNE 2, 2019

Trying to dissect a model to divine an interpretation of its results is a good way to throw away much of the crucial information – especially about non-automated inputs and decisions going into our workflows – that will be required to mitigate existential risk. Because of compliance. Admittedly less Descartes, more Wednesday Addams.

Data Science 110

Data Science Data-driven Machine Learning Modeling 110

Alation

MARCH 21, 2023

What’s more, many companies struggle with rigid legacy technologies that increase the risk of a data breach. Otherwise, they risk a data privacy violation. How is data analytics used in the travel industry? Regulatory compliance Additionally, this PII is often highly regulated.

Data Analytics 52

Data Analytics Analytics Data-driven Big Data 52

IBM Big Data Hub

JULY 6, 2023

Some examples of data science use cases include: An international bank uses ML-powered credit risk models to deliver faster loans over a mobile app. An AI-based medical assessment platform analyzes medical records to determine a patient’s risk of stroke and predict treatment plan success rates.

Machine Learning 54

Machine Learning Data Science Statistics Deep Learning 54

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 Sales 52

FineReport

APRIL 26, 2023

.” This type of Analytics includes traditional query and reporting settings with scorecards and dashboards. Predictive Analytics assesses the probability of a specific occurrence in the future, such as early warning systems, fraud detection, preventative maintenance applications, and forecasting.

Big Data 52

Big Data Data Analytics Analytics Cost-Benefit 52

Smarten

SEPTEMBER 9, 2024

Gartner defines a citizen data scientist as, ‘ a person who creates or generates models that leverage predictive or prescriptive analytics, but whose primary job function is outside of the field of statistics and analytics.’ So, let’s get started. What is a Cititzen Data Scientist? Who is a Citizen Data Scientist?

Consulting 52

Consulting Cost-Benefit Data Science Business Intelligence 52

Andrew White

JANUARY 11, 2021

Some data is more a risk than valuable. What are you seeing as the differences between a Chief Analytics Officer and the Chief Data Officer? Risk Management (most likely within context of governance). Note: Delivery of data, analytics solutions and the sustainment of technology, data and services is a question.

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52

Jet Global

MAY 1, 2023

Positioning Embedded Analytics for Each Executive Here are some tips on understanding executives’ priorities and getting them on board with the project. Show how embedded analytics will enhance sales and marketing through better demos and shorter sales cycles. It will help to eliminate some of the development risks.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52

CIO Business Intelligence

DECEMBER 19, 2024

As organizations struggle with the increasing volume, velocity, and complexity of data, having a comprehensive analytics and BI platform offers real solutions that address key challenges, such as data management and governance, predictive and prescriptive analytics, and democratization of insights.

Sales 122

Sales Analytics Key Performance Indicator Prescriptive Analytics 122

CIO Business Intelligence

MAY 5, 2025

In 2024, AI didnt make the first cut as CEOs directed IT leadership to prioritize digital transformation initiatives, fortifying IT and business collaboration, and upleveling security to reduce corporate risk. To date, the firm has achieved milestones in each of these areas.

Digital Transformation 107

Digital Transformation Experimentation Strategy Prescriptive Analytics 107

CIO Business Intelligence

MAY 6, 2025

Predictive analytics: Turning insight into foresight Predictive analytics uses historical data and statistical models or machine learning algorithms to answer the question, What is likely to happen? This is where analytics begins to proactively impact decision-making. Its a symptom of needing one. What will happen?

Prescriptive Analytics 78

Prescriptive Analytics Predictive Analytics Descriptive Analytics ROI 78