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.

Unstructured Data 103

Unstructured Data Data Lake Prescriptive Analytics Digital Transformation 103

FineReport

MARCH 24, 2024

Rapid technological advancements and extensive networking have propelled the evolution of data analytics, fundamentally reshaping decision-making practices across various sectors. In this landscape, data analysts assume a pivotal role, tasked with interpreting data to drive informed decision-making. JPMorgan Chase & Co.:

Statistics 52

Statistics Data mining Visualization Reporting 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. Predictive analytics is one aspect of advanced analytics that will be key in driving efficiency and innovation.

Technology 44

Technology Prescriptive Analytics Machine Learning Business Intelligence 44

FineReport

APRIL 26, 2023

With the right Big Data Tools and techniques, organizations can leverage Big Data to gain valuable insights that can inform business decisions and drive growth. The term “Big” does not only refer to its size, but also to its capacity to acquire, organize, and process information beyond the capabilities of traditional databases.

Big Data 52

Big Data Data Analytics Analytics Cost-Benefit 52

IBM Big Data Hub

JULY 6, 2023

Machine learning can then “learn” from the data to create insights that improve performance or inform predictions. One ride-hailing transportation company uses big data analytics to predict supply and demand, so they can have drivers at the most popular locations in real time.

Machine Learning 54

Machine Learning Data Science Statistics Deep Learning 54

Cloudera

MARCH 2, 2018

The private sector already very successfully uses data analytics and machine learning not only to realise efficiency gains but also – even more importantly – to create completely new services and business models. In many settings this is the best information available.

Data-driven 43

Data-driven Prescriptive Analytics Descriptive Analytics Machine Learning 43

BizAcuity

MARCH 31, 2022

This article (like thousands of other articles), is aimed at presenting consolidated information about AI for business in simple language. The aim of predictive analytics is, as the name suggests, to predict and forecast outcomes. Prescriptive Analytics: Prescriptive analytics is the most complex form of analytics.

Data Analytics 52

Data Analytics Analytics Prescriptive Analytics Predictive Analytics 52

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? They may also suffer from data duplication, which undermines their analytics models.

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 68

Data Strategy Strategy Data Warehouse Prescriptive Analytics 68

Domino Data Lab

JUNE 2, 2019

We had data science leaders presenting about lessons learned while leading data science teams, covering key aspects including scalability, being model-driven, being model-informed, and how to shape the company culture effectively. Data science leadership: importance of being model-driven and model-informed.

Data-driven 110

Data-driven Data Science Machine Learning Modeling 110

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 136

Visualization Cost-Benefit Big Data Prescriptive Analytics 136

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. Source: Business Application Research Center *. How can we make it happen?

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361

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

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. By Industry Businesses from many industries use embedded analytics to make sense of their data.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52