IBM Big Data Hub

JULY 6, 2023

Machine learning can then “learn” from the data to create insights that improve performance or inform predictions. The platforms then use that information and predictive modeling to recommend relevant products, services or articles. It requires data science tools to first clean, prepare and analyze unstructured big data.

Machine Learning 54

Machine Learning Data Science Statistics Deep Learning 54

BizAcuity

MARCH 31, 2022

This article (like thousands of other articles), is aimed at presenting consolidated information about AI for business in simple language. Marketers also have access to several AI softwares to save time and optimize their work at every step of the funnel. AI for Business. Worth a read if you are brainstorming on AI strategy.

Data Analytics 52

Data Analytics Analytics Prescriptive Analytics Predictive Analytics 52

FineReport

MARCH 2, 2021

Reports provide clear and organized data information; Analytics aims to provide insights. When people talk about a report, you will often see words like organizing, formatting, building, configuring, consolidating summarize; Regarding analytics, appears as questioning, examining, interpreting, comparing, and confirming.

Reporting 98

Reporting Analytics Key Performance Indicator Prescriptive Analytics 98

Alation

MARCH 21, 2023

Organizations in the travel and tourism vertical use big data and analytics to find patterns in structured and unstructured data that allow them to make informed business decisions. Why is data analytics important for travel organizations? Some companies struggle to optimize their data’s value and leverage analytics effectively.

Data Analytics 52

Data Analytics Analytics Data-driven Big Data 52

AWS Big Data

MARCH 26, 2024

This view is used to identify patterns and trends in customer behavior, which can inform data-driven decisions to improve business outcomes. This database will accept a lot of write queries back from the activation systems that learn new information about the customers and feed them back.

Data Strategy 76

Data Strategy Strategy Data Warehouse Prescriptive Analytics 76

Sisense

JUNE 30, 2020

Broadly, there are three types of analytics: descriptive , prescriptive , and predictive. The simplest type, descriptive analytics , describes something that has already happened and suggests its root causes. Predicting forthcoming trends sets the stage for optimizing the benefits your organization takes from them.

Visualization 93

Visualization Analytics Dashboards Data-driven 93

Rocket-Powered Data Science

OCTOBER 6, 2023

Decades (at least) of business analytics writings have focused on the power, perspicacity, value, and validity in deploying predictive and prescriptive analytics for business forecasting and optimization, respectively. How do predictive and prescriptive analytics fit into this statistical framework?

Business Analytics 157

Business Analytics Prescriptive Analytics Analytics Diagnostic Analytics 157

Smart Data Collective

OCTOBER 13, 2021

In the era of Big Data, the Web, the Cloud and the huge explosion in data volume and diversity, companies cannot afford to store and replicate all the information they need for their business. Data virtualization is ideal in any situation where the is necessary: Information coming from diverse data sources. Real-time information.

Visualization 131

Visualization Cost-Benefit Big Data Prescriptive Analytics 131

datapine

NOVEMBER 27, 2019

It is not only important to gather as much information possible, but the quality and the context in which data is being used and interpreted serves as the main focus for the future of business intelligence. 4) Predictive And Prescriptive Analytics Tools. Prescriptive analytics goes a step further into the future.

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361

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

Smarten

FEBRUARY 11, 2019

As business becomes more competitive, as markets get tighter, there is a need to leverage and optimize your resources to the greatest extent possible. Using the knowledge and skill of each individual on your team and allowing these skills to inform business decisions and business analysis is key.

Analytics 40

Analytics Prescriptive Analytics ROI Statistics 40

datapine

DECEMBER 4, 2019

Predictive & Prescriptive Analytics. Predictive Analytics: What could happen? We mentioned predictive analytics in our business intelligence trends article and we will stress it here as well since we find it extremely important for 2020. Prescriptive Analytics: What should we do? Cognitive Computing.

Business Intelligence 212

Business Intelligence Prescriptive Analytics Analytics Predictive Analytics 212

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.’ What is a Citizen Data Scientist (Citizen Analyst)? A power user of self-serve BI tools.

Analytics 40

Analytics Prescriptive Analytics Business Intelligence ROI 40

Jet Global

OCTOBER 9, 2024

According to a recent Forbes article, “the prescriptive analytics software market is estimated to grow from approximately $415M in 2014 to $1.1B There are a number of reasons why: You can run a report that has the most updated information , not from one month ago.

Prescriptive Analytics 52

Prescriptive Analytics IoT Internet of Things 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

Alation

AUGUST 26, 2021

Insights into how an asset’s been used in the past inform how it might be intelligently applied in the future. Answering these questions can improve operational efficiencies and inform a number of data intelligence use cases, which include data governance, self-service analytics, and more. Why keep data at all? Profiling tools.

Metadata 64

Metadata Data Governance Dashboards Software 64

Andrew White

JANUARY 11, 2021

In general, I would offer that information-based industries tend to be more advanced than non-information-based industries. As such banking, finance, insurance and media are good examples of information-based industries compared to manufacturing, retail, and so on. Do you play SimCity? Imagine running our businesses like that?

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52

Jet Global

MAY 1, 2023

Aggregated views of information may come from a department, function, or entire organization. The data may come from multiple systems or aggregated views, but the output is a centralized overview of information. Embedded analytics are the GPS navigation inside your car that guides your path in real-time.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52