IBM Big Data Hub

FEBRUARY 2, 2023

In today’s world, data warehouses are a critical component of any organization’s technology ecosystem. They provide the backbone for a range of use cases such as business intelligence (BI) reporting, dashboarding, and machine-learning (ML)-based predictive analytics, that enable faster decision making and insights.

Data Warehouse 57

Data Warehouse Cost-Benefit Unstructured Data Data Architecture 57

CIO Business Intelligence

MAY 8, 2024

AI-powered data integration One of the most promising advancements in data integration is the integration of artificial intelligence (AI) and machine learning (ML) technologies. AI-powered data integration tools leverage advanced algorithms and predictive analytics to automate and streamline the data integration process.

Data Integration 52

Data Integration IoT Cost-Benefit Data Quality 52

CIO Business Intelligence

OCTOBER 13, 2023

Established and emerging data technologies: Data architects need to understand established data management and reporting technologies, and have some knowledge of columnar and NoSQL databases, predictive analytics, data visualization, and unstructured data.

Data Architecture 131

Data Architecture Data Warehouse Statistics Visualization 131

datapine

JUNE 5, 2019

Enter data dashboards – one of history’s best innovations in business intelligence. To help you understand this notion in full, we’re going to explore a data dashboard definition, explain the power of dashboard data, and explore a selection of data dashboard examples.

Dashboards 316

Dashboards KPI Sales Visualization 316

Jedox

OCTOBER 22, 2020

In addition to using data to inform your future decisions, you can also use current data to make immediate decisions. Some of the technologies that make modern data analytics so much more powerful than they used t be include data management, data mining, predictive analytics, machine learning and artificial intelligence.

Data Analytics 69

Data Analytics Analytics Unstructured Data Data mining 69

Sisense

OCTOBER 6, 2020

These programs and systems are great at generating basic visualizations like graphs and charts from static data. The challenge comes when the data becomes huge and fast-changing. Why is quantitative data important? These numbers show performance, efficiency, reach, market share, revenue in, and expenses out.

Statistics 98

Statistics Unstructured Data Data-driven Visualization 98

Jet Global

JUNE 18, 2019

The impact of data on business success doesn’t simply lie in the ability of businesses to collect the data itself. Health data is being used to improve patient wait times, shorten hospital visits, and apply predictive analytics to at-risk patients with complex medical histories.

Big Data 75

Big Data Software Data Analytics Analytics 75

FineReport

APRIL 26, 2023

Descriptive Analytics is used to determine “what happened and why.” ” This type of Analytics includes traditional query and reporting settings with scorecards and dashboards. Unlike traditional databases, processing large data volumes can be quite challenging. How to Choose the Right Big Data Analytics Tools?

Big Data 52

Big Data Data Analytics Analytics Cost-Benefit 52

Jet Global

OCTOBER 3, 2019

The impact of data on business success doesn’t simply lie in the ability of businesses to collect the data itself. Health data is being used to improve patient wait times, shorten hospital visits, and apply predictive analytics to at-risk patients with complex medical histories.

Big Data 53

Big Data Software Data Analytics Analytics 53

Rita Sallam

JULY 22, 2016

decline in traditional BI ( See: Market Share Analysis: Business Intelligence and Analytics Software, 2015 ). Answer: The primary differences are described in detail in our research, Technology Insight for Modern Business Intelligence and Analytics Platforms and summarized in the table below from the report.

Analytics 40

Analytics Business Intelligence Metadata Statistics 40

Grooper

AUGUST 19, 2019

Choosing the right analytics solution isn't easy. Successfully navigating the 20,000+ analytics and business intelligence solutions on the market requires a special approach. Read on to learn how data literacy, information as a second language, and insight-driven analytics take digital strategy to a new level.

Analytics 54

Analytics Machine Learning Data Science Data-driven 54

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

CIO Business Intelligence

AUGUST 18, 2022

Traditionally, organizations have maintained two systems as part of their data strategies: a system of record on which to run their business and a system of insight such as a data warehouse from which to gather business intelligence (BI). Under Guadagno, the Deerfield, Ill.

Data Lake 140

Data Lake Data Warehouse Unstructured Data Business Intelligence 140

datapine

NOVEMBER 19, 2019

In business intelligence, we are evolving from static reports on what has already happened to proactive analytics with a live dashboard assisting businesses with more accurate reporting. An exemplary application of this trend would be Artificial Neural Networks (ANN) – the predictive analytics method of analyzing data.

Technology 279

Technology Internet of Things IT IoT 279

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?

Data Analytics 52

Data Analytics Analytics Data-driven Big Data 52

datapine

DECEMBER 4, 2019

Business intelligence has undergone many changes in the last decade. Each year, we hear about buzzwords that enter the community, language, market and drive businesses and companies forward. That’s why we have prepared a list of the most prominent business intelligence buzzwords that will dominate in 2020.

Business Intelligence 212

Business Intelligence Prescriptive Analytics Analytics Predictive Analytics 212