CIO Business Intelligence

JUNE 1, 2022

The company is applying winning insights from rapid, data-driven, evolutionary models versus relying on engine speed and aerodynamics alone to win races. which are virtual models of objects, systems, or processes ? and artificial intelligence (AI) and machine learning (ML) technologies. .

Manufacturing 116

Manufacturing Digital Transformation Predictive Analytics Strategy 116

CIO Business Intelligence

JUNE 14, 2023

The certification focuses on the seven domains of the analytics process: business problem framing, analytics problem framing, data, methodology selection, model building, deployment, and lifecycle management. They can also transform the data, create data models, visualize data, and share assets by using Power BI.

Big Data 125

Big Data Data Analytics Analytics Predictive Modeling 125

Jedox

FEBRUARY 13, 2020

In the Digital Age, data-based decisions are becoming increasingly important for business. For controlling, this means using predictive analytics to produce more forward-looking analyses and increasingly decision-relevant forecasts instead of focusing on past tense reports. Automated sales forecast at Mitsui.

Forecasting 59

Forecasting Predictive Analytics Sales Data Integration 59

Smarten

DECEMBER 3, 2023

‘Giving your team the right tools and a simple way to manage the overwhelming flow of data is crucial to business success.’ Why is augmented analytics an important factor in your success? It is crucial to present the benefits and advantages of augmented analytics when requesting project approval from your management team.’

Analytics 40

Analytics Cost-Benefit Data Quality Consulting 40

datapine

AUGUST 29, 2022

And shows how big data and the advances in analytical technologies are shaping the way the world is perceived. 2) Designing Data-Intensive Applications by Martin Kleppman. Reading this publication from our list of books for big data will give you the toolkit you need to make sure the former happens and not the latter.

Big Data 263

Big Data Data Analytics Analytics Data mining 263

Grooper

AUGUST 19, 2019

They're the insights needed for better decision making, and they start with the business, not with the data. It's not about the technology - or solving the data silo problem. Business Focus is Required for Success with Transformative Analytics Technologies. Increasing data literacy is the answer. Algorithms.

Analytics 54

Analytics Machine Learning Data Science Data-driven 54