IBM Big Data Hub

SEPTEMBER 19, 2023

Prescriptive analytics: Prescriptive analytics predicts likely outcomes and makes decision recommendations. An electrical engineer can use prescriptive analytics to digitally design and test out various electrical systems to see expected energy output and predict the eventual lifespan of the system’s components.

Data Science 76

Data Science Data Analytics Prescriptive Analytics Analytics 76

AWS Big Data

FEBRUARY 20, 2024

Conclusion With the emergence of requirements for predictive and prescriptive analytics based on big data, there is a growing demand for data solutions that integrate data from multiple heterogeneous data models with minimal effort.

Analytics 119

Analytics IoT Prescriptive Analytics Internet of Things 119

Birst BI

OCTOBER 30, 2018

Descriptive analytics are useful because this method of analysis enables financial services companies to learn from past behaviors. Descriptive analytics techniques are often used to summarize important business metrics such as account balance growth, average claim amount and year-over-year trade volumes.

Predictive Analytics 73

Predictive Analytics Descriptive Analytics Analytics Metrics 73

AWS Big Data

MARCH 26, 2024

The following figure shows some of the metrics derived from the study. Plan on how you can enable your teams to use ML to move from descriptive to prescriptive analytics. For this you need to implement prescriptive decision-making on how to address the customer’s sentiment. Organizations using C360 achieved 43.9%

Data Strategy 103

Data Strategy Strategy Data Warehouse Prescriptive Analytics 103

Sisense

AUGUST 11, 2019

BI lets you apply chosen metrics to potentially huge, unstructured datasets, and covers querying, data mining , online analytical processing ( OLAP ), and reporting as well as business performance monitoring, predictive and prescriptive analytics.

Business Intelligence 75

Business Intelligence Business Analytics Analytics OLAP 75

Smarten

FEBRUARY 16, 2023

Gartner says that a Citizen Data Scientist is “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.” This term has been around for some time and was popularized by Gartner.

Prescriptive Analytics 52

Prescriptive Analytics Statistics Consulting Metrics 52

Smarten

FEBRUARY 27, 2020

The goal of enabling Citizen Data Scientists is to optimize business decisions and the time of data scientists so that business users can confidently leverage advanced analytics tools to make decisions and data scientists can focus on more critical, strategic activities.

Analytics 52

Analytics Prescriptive Analytics Statistics Optimization 52

Domino Data Lab

JUNE 2, 2019

Then calculate the variance divided by the mean to construct a metric for noise in decision-making. Kahneman described how in many professional organizations, people would intuitively estimate that metric near 0.1 – however, in reality, that value often exceeds 0.5 Measure how these decisions vary across your population.

Data Science 110

Data Science Data-driven Machine Learning Modeling 110

Smarten

SEPTEMBER 9, 2024

‘To fulfill the role of a Citizen Data Scientist, business users today can leverage augmented analytics solutions; that is analytics that provide simple recommendations and suggestions to help users easily choose visualization and predictive analytics techniques from within the analytical tool without the need for expert analytical skills.’

Prescriptive Analytics 52

Prescriptive Analytics Predictive Analytics Data-driven Business Intelligence 52

Smarten

APRIL 11, 2018

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.’ Comfortable with metrics, measurements and prioritization.

Analytics 40

Analytics Prescriptive Analytics Business Intelligence ROI 40

Alation

AUGUST 26, 2021

BI leverages and synthesizes data from analytics, data mining, and visualization tools to deliver quick snapshots of business health to key stakeholders, and empower those people to make better choices. Augmented Analytics. Artificial Intelligence, too, is a fast-growing market, valued at $21 billion. Why reinvent the wheel?

Metadata 64

Metadata Data Governance Dashboards Software 64

IBM Big Data Hub

JULY 6, 2023

Other challenges include communicating results to non-technical stakeholders, ensuring data security, enabling efficient collaboration between data scientists and data engineers, and determining appropriate key performance indicator (KPI) metrics.

Machine Learning 54

Machine Learning Data Science Statistics Deep Learning 54

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

Alation

MARCH 21, 2023

How is data analytics used in the travel industry? The travel and tourism industry can use predictive, descriptive, and prescriptive analytics to make data-driven decisions that ultimately enhance revenue, mitigate risk, and increase efficiencies.

Data Analytics 52

Data Analytics Analytics Data-driven Big Data 52

Andrew White

JANUARY 11, 2021

As with offensive policies, too many firms mistake hygiene metrics such as the number of records cleaned up versus the impact on outcomes as the measure of success, with risk I would wary of the same mistake. Yes, prescriptive and predictive analytics remain very popular with clients. Thanks for the overview Andrew.

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52

Jet Global

MAY 1, 2023

Business End-User Benefits Embedding analytics into essential applications makes analytics more pervasive. As a result, end users can better view shared metrics (backed by accurate data), which ultimately drives performance. Visual Analytics Users are given data from which they can uncover new insights.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52

Smarten

MARCH 20, 2025

In 2016, the technology research firm, Gartner, coined the term Citizen Data Scientist, and defined it 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.

Prescriptive Analytics 62

Prescriptive Analytics Advertising Data-driven Statistics 62

CIO Business Intelligence

MAY 6, 2025

Prescriptive analytics: Moving from knowing to doing Prescriptive analytics answers the question: What should we do about it? What prescriptive analytics enables: Optimization at scale, often in real-time Data-driven decision-making embedded into operational systems Automation of complex trade-offs (e.g.,

Prescriptive Analytics 78

Prescriptive Analytics Predictive Analytics Descriptive Analytics ROI 78