Analysts Corner

APRIL 25, 2023

What is big data and why is it important to business ? In the age of the internet, smartphones, and social media, the amount of data generated every day has reached unprecedented levels. This data is referred to as big data, and it is transforming the way businesses operate. What is big data?

Big Data 130

Big Data Retail Customer Experience Customer Experience 130

Data Pine

MAY 2, 2023

Table of Contents 1) Benefits Of Big Data In Logistics 2) 10 Big Data In Logistics Use Cases Big data is revolutionizing many fields of business, and logistics analytics is no exception. The complex and ever-evolving nature of logistics makes it an essential use case for big data applications.

Supply Chain 110

Supply Chain Logistics Big Data Customer Experience 110

Astera

MAY 25, 2023

Big Data Security: Protecting Your Valuable Assets In today’s digital age, we generate an unprecedented amount of data every day through our interactions with various technologies. The sheer volume, velocity, and variety of big data make it difficult to manage and extract meaningful insights from.

Big Data 40

Big Data Data Security Monitoring Data Quality 40

Smart Data Collective

NOVEMBER 20, 2022

Many organizations are increasing their Big Data footprint and looking to data centers to help them grow. Global companies are projected to spend over $274 billion on big data this year and data cetners have played a role in this trend. Security is also an essential consideration for data centers.

Big Data 265

Big Data Government Healthcare Data Security 265

Business Analysis Hub

AUGUST 22, 2023

Creating a robust AI strategy is pivotal in harnessing the power of this technology to drive innovation, efficiency, and growth. Analyse data requirements : Assess the data required to build your AI solution. This includes data collection, storage, and analysis.

Artificial Intelligence 52

Artificial Intelligence Monitoring Customer Experience Customer Experience 52

Sisense

OCTOBER 6, 2020

Traditional methods of gathering and organizing data can’t organize, filter, and analyze this kind of data effectively. What seem at first to be very random, disparate forms of qualitative data require the capacity of data warehouses , data lakes , and NoSQL databases to store and manage them.

Visualization 98

Visualization Data Warehouse Innovation Predictive Analytics 98

Whizlabs

DECEMBER 13, 2020

After a major global threat, businesses want to leverage the power of DevOps along with a prominent emphasis on continuous improvements alongside new innovations. Enterprises can achieve these outcomes by leveraging analytical systems with capabilities for ingesting big data throughout the value stream.

Monitoring 98

Monitoring Digital Transformation Product Management Product Management 98