CIO

JUNE 7, 2022

More specifically: Descriptive analytics uses historical and current data from multiple sources to describe the present state, or a specified historical state, by identifying trends and patterns. In business analytics, this is the purview of business intelligence (BI). Data analytics vs. business analytics.

Analytics 306

Analytics Data Analysis Business Analytics 306

TechCrunch

MAY 9, 2022

Business intelligence is an increasingly well-funded category in the software-as-a-service market. By handling large amounts of data to analyze and benchmark lines of business, BI promises to help identify, develop, and otherwise create new revenue opportunities.

Analytics 215

Analytics Business Intelligence Software Review Business Analytics 215

CTOvision

OCTOBER 18, 2013

With the continuous development of advanced infrastructure based around Apache Hadoop there has been an incredible amount of innovation around enterprise “Big Data” technologies, including in the analytical tool space. H2O by 0xdata brings better algorithms to big data. This is great for analysts!

Technical Review 99

Technical Review Analytics Technology Big Data 99

Strategy Driven

APRIL 14, 2020

Risk management helps them stay on top of the market challenges and trends in the relevant industry. However, markets and industries are dynamic concepts. Interconnectedness comes with a great many benefits – quickly penetrating new markets and growing customer base, being just a few of them. More Precise Risk Models.

Analysis 44

Analysis Study Research Marketing 44

The Cipher Brief

SEPTEMBER 20, 2020

The IC can get those insights by leveraging business analytics—already widely used in the corporate world—to transform the way it performs its mission. Today’s IC lacks foundational mechanisms and data to effectively meet the needs of its customers. Defining business analytics for the IC. national security goals.

Business Analytics 56

Business Analytics Analytics Metrics Technical Review 56

Apiumhub

AUGUST 12, 2021

This year you will have 6 unique tracks: Cloud Computing: IaaS, PaaS, SaaS DevOps: Microservices, Automation, ASRs Cybersecurity: Threats, Defenses, Tests Data Science: ML, AI, Big Data, Business Analytics Programming languages: C++, Python, Java, Javascript,Net Future & Inspire: Mobility, 5G data networks, Diversity, Blockchain, VR.

Industry 59

Industry Technical Advisors CTO Coach Azure 59