The BAWorld

APRIL 23, 2024

Why Data Analytics Lifecycle Is Essential The data analytic lifecycle is intended for use with large amounts of big data and data science initiatives. This methodology should be organized to address the distinctive requirements for analyzing the information on Big Data. Processing large data sets.

Data Analytics 52

Data Analytics Data Analytics Big Data Data Mining 52

Data Pine

MARCH 15, 2019

At present, 53% of businesses are in the process of adopting big data analytics as part of their core business strategy – and it’s no coincidence. To win on today’s information-rich digital battlefield, turning insight into action is a must, and online data analysis tools are the very vessel for doing so. click to enlarge**.

Healthcare 57

Healthcare Retail Big Data Vision 57

Data Pine

MAY 9, 2019

“Without big data, you are blind and deaf and in the middle of a freeway.” – Geoffrey Moore, management consultant, and author. In a world dominated by data, it’s more important than ever for businesses to understand how to extract every drop of value from the raft of digital insights available at their fingertips.

Business Intelligence 108

Business Intelligence Business Intelligence Procurement Data Warehouse 108

Data Pine

NOVEMBER 19, 2019

Some more examples of AI applications can be found in various domains: in 2020 we will experience more AI in combination with big data in healthcare. Connected Retail. This leads us to the next of our buzzwords in IT: connected retail. One of the IT buzzwords you must take note of in 2020.

Artificial Intelligence 111

Artificial Intelligence Vision Banking Retail 111

Data Pine

MAY 31, 2022

Since we live in a digital age, where data discovery and big data simply surpass the traditional storage and manual implementation and manipulation of business information, companies are searching for the best possible solution for handling data. It is evident that the cloud is expanding. It’s completely free!

Cloud Computing 95

Cloud Computing Cybersecurity Government Business Intelligence 95

Data Pine

DECEMBER 11, 2019

This means that your business’s data is available and secure regardless of a data breach or system failure. Some examples are healthcare analytics software, retail analytics , or modern logistics analytics. In Cloud SaaS, pre-existing disaster recovery protocols are in place to manage potential system failures.

Artificial Intelligence 125

Artificial Intelligence Innovation Digital Business Intelligence 125

Data Pine

MAY 17, 2021

1) What Is Data Discovery? 2) Why is Data Discovery So Popular? 3) Data Discovery Tools Attributes. 5) How To Perform Smart Data Discovery. 6) Data Discovery For The Modern Age. We live in a time where data is all around us. So, what is data discovery?

Data Discovery 64

Data Discovery Data Visualization Visualization Business Intelligence 64