datapine

JANUARY 31, 2022

Using business intelligence and analytics effectively is the crucial difference between companies that succeed and companies that fail in the modern environment. Your Chance: Want to try a professional BI analytics software? Experience the power of Business Intelligence with our 14-days free trial!

Business Intelligence 214

Business Intelligence Analytics Cost-Benefit ROI 214

datapine

AUGUST 29, 2022

At 156 pages on Kindle, this is a book you could finish in one (long) sitting if you were so inclined, and that you can also use as an inspiration when you work on your business intelligence strategy. 6) Lean Analytics: Use Data to Build a Better Startup Faster, by Alistair Croll and Benjamin Yoskovitz.

Big Data 263

Big Data Data Analytics Analytics Data mining 263

datapine

MAY 2, 2023

The rise of SaaS business intelligence tools is answering that need, providing a dynamic vessel for presenting and interacting with essential insights in a way that is digestible and accessible. Customer data is standardized and verified Rounding out our rundown of big data logistics use cases, we’re going to look at personal data.

Big Data 275

Big Data Cost-Benefit Internet of Things Optimization 275

IBM Big Data Hub

SEPTEMBER 6, 2023

AI marketing is the process of using AI capabilities like data collection, data-driven analysis, natural language processing (NLP) and machine learning (ML) to deliver customer insights and automate critical marketing decisions. What is AI marketing?

Marketing 85

Marketing Technology Advertising ROI 85

CIO Business Intelligence

SEPTEMBER 19, 2023

Rolls-Royce has also found use for AI in predictive maintenance to improve the efficiency of jet engines and reduce the amount of carbon their planes produce, while also streamlining maintenance schedules through predictive analytics. Artificial Intelligence, Chatbots, IT Strategy, Predictive Analytics

Enterprise 141

Enterprise Cost-Benefit Optimization Deep Learning 141

CIO Business Intelligence

JULY 20, 2023

From big fashion brands to staples and grocery stores, every retailer is looking to apply algorithms to improve the bottom line, especially in the areas of omnichannel retailing, demand forecasting, and predictive analytics. They also send relevant emails, advertisements, and texts. Many retailers are also following suit.

Technology 71

Technology Forecasting Advertising Machine Learning 71

FineReport

MARCH 24, 2024

Diagnostic analytics: Uncovering the reasons behind specific occurrences through pattern analysis. Descriptive analytics: Assessing historical trends, such as sales and revenue. Predictive analytics: Forecasting likely outcomes based on patterns and trends to facilitate proactive decision-making.

Statistics 52

Statistics Data mining Visualization Reporting 52