CIO Business Intelligence

MAY 8, 2024

Of late, innovative data integration tools are revolutionising how organisations approach data management, unlocking new opportunities for growth, efficiency, and strategic decision-making by leveraging technical advancements in Artificial Intelligence, Machine Learning, and Natural Language Processing.

Data Integration 102

Data Integration IoT Cost-Benefit Machine Learning 102

Jedox

OCTOBER 8, 2020

For a recent article in the Wall Street Journal, “ Companies’ Financial Planning Comes Up Short in the Coronavirus Era ” I was asked how FP&A professionals could have predicted both the pandemic occurring and the scope and scale of its impact. Brian Kalish back to the Jedox blog.

Uncertainty 75

Uncertainty Cost-Benefit Unstructured Data Data-driven 75

Smarten

JUNE 10, 2022

‘When considering all the features and functionality you want for your business, you must also be aware that it will be more cost effective and timely to select a BI tool and an augmented analytics solution that do not require custom integration or separate maintenance and support approaches.’. Smart Data Visualization. Dashboards.

Analytics 52

Analytics Slice and Dice Key Performance Indicator Business Intelligence 52

Ontotext

SEPTEMBER 2, 2020

Knowledge graphs enable content, data and knowledge-centric enterprises to improve repeated monetization of their assets by optimizing their reuse and repurposing as well as creating new products such as books, apps, reports, journal articles, content, and data feeds.

Insurance 72

Insurance Metadata Publishing Unstructured Data 72

Ontotext

FEBRUARY 26, 2024

Strategic planning and predictive analytics : Companies can use this analysis for strategic planning. Model-driven extraction Model-driven extraction refers to the extraction and classification of unstructured data sources, such as text documents and web pages, based on a predefined schema, often referred to as a semantic model.

Data-driven 59

Data-driven Risk Modeling Risk Management 59

IBM Big Data Hub

JULY 6, 2023

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. The company also uses data science in forecasting, global intelligence, mapping, pricing and other business decisions.

Machine Learning 54

Machine Learning Data Science Statistics Deep Learning 54

Alation

MARCH 21, 2023

To fully realize data’s value, organizations in the travel industry need to dismantle data silos so that they can securely and efficiently leverage analytics across their organizations. What is big data in the travel and tourism industry? We have been able to combine datasets that we didn’t combine before.”

Data Analytics 52

Data Analytics Analytics Data-driven Big Data 52

FineReport

APRIL 26, 2023

This has led to the emergence of the field of Big Data, which refers to the collection, processing, and analysis of vast amounts of data. 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.

Big Data 52

Big Data Data Analytics Analytics Cost-Benefit 52

TDAN

NOVEMBER 14, 2023

In this digital age, large amounts of data are produced and consumed every second. And particularly for experienced bloggers in the data management or IT industry, synchronized video data collaboration represents an untapped wellspring of potential.

Management 52

Management Predictive Analytics Unstructured Data IT 52