BizAcuity

AUGUST 26, 2019

Ever since the digitization of casinos, casino managers are being exposed to a great deal of data. This is what makes the casino industry a great use case for prescriptive analytics technologies and applications. The need for prescriptive analytics. Benefits of prescriptive analytics.

Prescriptive Analytics 40

Prescriptive Analytics Analytics Descriptive Analytics Predictive Analytics 40

Smart Data Collective

OCTOBER 13, 2021

How does Data Virtualization manage data quality requirements? Some solutions provide read and write access to any type of source and information, advanced integration, security capabilities and metadata management that help achieve virtual and high-performance Data Services in real-time, cache or batch mode. Prescriptive analytics.

Visualization 145

Visualization Cost-Benefit Big Data Prescriptive Analytics 145

CIO Business Intelligence

NOVEMBER 14, 2022

A DSS supports the management, operations, and planning levels of an organization in making better decisions by assessing the significance of uncertainties and the tradeoffs involved in making one decision over another. These systems help managers monitor performance indicators. These systems suggest or recommend actions to managers.

Data mining 144

Data mining Data-driven Statistics OLAP 144

BizAcuity

FEBRUARY 21, 2025

Beyond Data Collection: Why Dynamics 365 Integration is Critical Most businesses today use Dynamics 365 for managing sales, finance, customer service, or operations. Finance benefiting from automated forecasting, which reduces errors and ensures more accurate financial predictions. Final Thought: Will You Lead or Lag?

Dashboards 52

Dashboards Optimization Finance Sales 52

IBM Big Data Hub

SEPTEMBER 19, 2023

It focuses on data collection and management of large-scale structured and unstructured data for various academic and business applications. Meanwhile, data analytics is the act of examining datasets to extract value and find answers to specific questions. Those who work in the field of data science are known as data scientists.

Data Science 76

Data Science Data Analytics Prescriptive Analytics Analytics 76

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

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.’ Forecasting. Predictive Analytics Using External Data. Maintenance Management. Trends and Patterns.

Predictive Analytics 69

Predictive Analytics Analytics Predictive Modeling Prescriptive Analytics 69

CIO Business Intelligence

FEBRUARY 16, 2023

My vision is that I can give the keys to my businesses to manage their data and run their data on their own, as opposed to the Data & Tech team being at the center and helping them out,” says Iyengar, director of Data & Tech at Straumann Group North America. Analytics, Artificial Intelligence, Data Management, Predictive Analytics

Unstructured Data 105

Unstructured Data Data Lake Prescriptive Analytics Data Warehouse 105

IBM Big Data Hub

JANUARY 25, 2024

Many managers in asset-intensive industries like energy, utilities or process manufacturing, perform a delicate high-wire act when managing inventory. Over time, inventory managers have tested different approaches to determine the best fit for their organizations. What’s at stake? Now, consider the just-in-case approach.

Optimization 73

Optimization Cost-Benefit Prescriptive Analytics Manufacturing 73

BizAcuity

MARCH 31, 2022

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. AI comes handy for managing inventory, manufacturing, production and marketing. AI in Finance. AI in Healthcare.

Data Analytics 52

Data Analytics Analytics Prescriptive Analytics Predictive Analytics 52

Jedox

JULY 31, 2018

We also took a first look at how fp&a and business intelligence professionals can start to derive tangible value from these technologies for Enterprise Performance Management. 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.

Technology 44

Technology Prescriptive Analytics Machine Learning Business Intelligence 44

Smarten

APRIL 10, 2023

Leverage Enterprise Investments for Predictive Analytics and Gain Numerous Advantages! Gartner has predicted that, ‘predictive and prescriptive analytics will attract 40% of net new enterprise investment in the overall business intelligence and analytics market.’ Why the focus on predictive analytics? It’s simple!

Predictive Analytics 52

Predictive Analytics Predictive Modeling Analytics Prescriptive Analytics 52

AWS Big Data

MARCH 26, 2024

It connects to more than 70 data sources and helps you build extract, transform, and load (ETL) pipelines without having to manage pipeline infrastructure. You could also consider using Amazon Managed Streaming for Apache Kafka (Amazon MSK) for streaming events in real time. times better performance than the self-managed version.

Data Strategy 78

Data Strategy Strategy Data Warehouse Prescriptive Analytics 78

Domino Data Lab

JUNE 2, 2019

Many enterprise organizations with sophisticated data practices place those kinds of decisions on data science team leads rather than the executives or product managers. More near-term, Kahneman suggested the use of pre-mortems – also called backcasting, as a contrapositive of forecasting. Addressing cognitive bias with pre-mortems.

Data Science 110

Data Science Data-driven Machine Learning Modeling 110

Alation

MARCH 21, 2023

For example, airlines have historically applied analytics to revenue management, while successful hospitality leaders make data-driven decisions around property allocation and workforce management. Data access management Both data privacy and security require an organization to have appropriate data access controls in place.

Data Analytics 52

Data Analytics Analytics Data-driven Big Data 52

FineReport

APRIL 26, 2023

Big Data Tools are essential in managing and processing large data sets. The Big Data ecosystem is rapidly evolving, offering various analytical approaches to support different functions within a business. Prescriptive Analytics provides precise recommendations to respond to the query, “What should I do if ‘x’ occurs?”

Big Data 52

Big Data Data Analytics Analytics Cost-Benefit 52

IBM Big Data Hub

JULY 6, 2023

The fields have evolved such that to work as a data analyst who views, manages and accesses data, you need to know Structured Query Language (SQL) as well as math, statistics, data visualization (to present the results to stakeholders) and data mining. An e-commerce conglomeration uses predictive analytics in its recommendation engine.

Machine Learning 54

Machine Learning Data Science Statistics Deep Learning 54

FineReport

MARCH 24, 2024

These professionals collaborate with IT teams, management, or data scientists to align analytical efforts with organizational objectives across various industries. 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

Andrew White

JANUARY 11, 2021

How do you think Technology Business Management plays into this strategy? What are you seeing as the differences between a Chief Analytics Officer and the Chief Data Officer? Value Management or monetization. Risk Management (most likely within context of governance). Product Management. Governance. Architecture.

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52

CIO Business Intelligence

APRIL 9, 2025

According to Gartner , lack of data management practices and rigor around governance can introduce risk and significantly impede data and analytics strategic readiness and ultimately AI readiness. The GenAI revolution in enterprise analytics In 2025, generative AI is profoundly reshaping the analytics landscape.

Enterprise 96

Enterprise Analytics Experimentation Statistics 96

Jet Global

MAY 1, 2023

They migrated to embedded analytics, and it changed their world. Now, Delta managers can get a full understanding of their data for compliance purposes. In a recent study by Mordor Intelligence , financial services, IT/telecom, and healthcare were tagged as leading industries in the use of embedded analytics.

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 64

Prescriptive Analytics Advertising Data-driven Statistics 64