CIO Business Intelligence

JULY 5, 2022

What is business analytics? Business analytics is the practical application of statistical analysis and technologies on business data to identify and anticipate trends and predict business outcomes. The discipline is a key facet of the business analyst role. Business analytics techniques.

Business Analytics 128

Business Analytics Prescriptive Analytics Data mining Diagnostic Analytics 128

datapine

AUGUST 14, 2019

As a matter of fact, Python was declared as the most popular language in 2018 , and it will surely grow in the future as well. There are many differences between business intelligence and data science, but with the recent development of BI tools, both became closely interconnected and dependent on each other.

Data Science 214

Data Science Statistics Business Intelligence Visualization 214

O'Reilly on Data

SEPTEMBER 11, 2019

Our call for speakers for Strata NY 2019 solicited contributions on the themes of data science and ML; data engineering and architecture; streaming and the Internet of Things (IoT); business analytics and data visualization; and automation, security, and data privacy. An ML-related topic, “models,” was No. 221) to 2019 (No.

IoT 20

IoT Big Data Data Warehouse Uncertainty 20

datapine

NOVEMBER 27, 2019

Over the past decade, business intelligence has been revolutionized. Spreadsheets finally took a backseat to actionable and insightful data visualizations and interactive business dashboards. The rise of self-service analytics democratized the data product chain. Suddenly advanced analytics wasn’t just for the analysts.

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361

Smarten

MAY 24, 2018

ElegantJ BI, an innovative vendor in Business Intelligence, Augmented Analytics and Augmented Data Preparation, is pleased to announce its participation in the Gartner 2018 INDIA Data & Analytics Summit from 5 – 6th June 2018 in Mumbai, India.

Analytics 40

Analytics Data Analytics Data mining Predictive Modeling 40

Depict Data Studio

SEPTEMBER 17, 2019

His experience includes evaluation and outcomes studies, ROI analysis, IBNR determination, predictive modeling, risk adjustment methodologies, advanced data visualization, dashboard design and implementation, database development and management, and identifying and evaluating trends and forces in data. Elissa Schloesser.

Visualization 40

Visualization Consulting Dashboards Reporting 40