Rocket-Powered Data Science

MARCH 10, 2020

In 2019, I was asked to write the Foreword for the book “ Graph Algorithms: Practical Examples in Apache Spark and Neo4j “ , by Mark Needham and Amy E. I wrote an extensive piece on the power of graph databases, linked data, graph algorithms, and various significant graph analytics applications. Graph Algorithms book.

Metadata 250

Metadata Machine Learning ROI Prescriptive Analytics 250

CIO Business Intelligence

NOVEMBER 14, 2022

Digital marketing and services firm Clearlink uses a DSS system to help its managers pinpoint which agents need extra help. Types of decision support system In the book Decision Support Systems: Concepts and Resources for Managers , Daniel J. Analytics, Data Science ERP dashboards.

Data mining 125

Data mining Data-driven Statistics OLAP 125

FineReport

APRIL 26, 2023

Market Insight : Analyzing big data can help businesses understand market demand and customer behavior. E-commerce giants like Alibaba and Amazon extensively use big data to understand the market. ” This type of Analytics includes traditional query and reporting settings with scorecards and dashboards.

Big Data 52

Big Data Data Analytics Analytics Cost-Benefit 52

Sisense

JUNE 30, 2020

The simplest type, descriptive analytics , describes something that has already happened and suggests its root causes. A simple example would be the analysis of marketing campaigns. Predictive analytics is the most beneficial, but arguably the most complex type.

Visualization 93

Visualization Analytics Dashboards Data-driven 93

Alation

MARCH 21, 2023

Why is data analytics important for travel organizations? With data analytics , travel organizations can gain real-time insights about customers to make strategic decisions and improve their travel experience. How is data analytics used in the travel industry? What types of data are collected?

Data Analytics 52

Data Analytics Analytics Data-driven Big Data 52

Jet Global

MAY 1, 2023

Section 2: Embedded Analytics: No Longer a Want but a Need Section 3: How to be Successful with Embedded Analytics Section 4: Embedded Analytics: Build versus Buy Section 5: Evaluating an Embedded Analytics Solution Section 6: Go-to-Market Best Practices Section 7: The Future of Embedded Analytics Section 1: What are Embedded Analytics?

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52