FineReport

MARCH 24, 2024

Data analysts contribute value to organizations by uncovering trends, patterns, and insights through data gathering, cleaning, and statistical analysis. They collaborate with cross-functional teams to meet organizational objectives and work across diverse sectors, including business intelligence, finance, marketing, and consulting.

Statistics 52

Statistics Data mining Visualization Reporting 52

CIO Business Intelligence

JUNE 22, 2022

AssuredPartners is a full-service insurance broker providing commercial insurance, risk management, and employee benefits. What business systems are in place to support key processes?How How is data collected and used in the organization? What processes are in place to manage customer choice and rights?

IT 93

IT Insurance Cost-Benefit Risk Management 93

Sisense

SEPTEMBER 3, 2020

They are also often expected to combine technical know-how with industry knowledge, overlapping with the business analysts we discuss below. Overall, however, what often characterizes them is a focus on data collection, manipulation, and analysis, using standard formulas and methods, and acting as gatekeepers of an organization’s data.

Statistics 97

Statistics Metrics Visualization Finance 97

IBM Big Data Hub

AUGUST 28, 2023

As it pertains to social media data, text mining algorithms (and by extension, text analysis) allow businesses to extract, analyze and interpret linguistic data from comments, posts, customer reviews and other text on social media platforms and leverage those data sources to improve products, services and processes.

Data mining 53

Data mining Machine Learning Deep Learning Marketing 53

datapine

AUGUST 29, 2022

Each of the three parts starts with chapters that are theoretical and finishes with more practical ones to make sense of all the concepts and knowledge previously presented, which is something that readers really enjoy about Nathan Marz’s work. An excerpt from a rave review: “The Freakonomics of big data.”.

Big Data 263

Big Data Data Analytics Analytics Data mining 263

Domino Data Lab

FEBRUARY 4, 2019

In other words, your talk didn’t quite stand out enough to put onstage, but you still get “publish or perish” credits for presenting. Note that Eric Colson presented “ Differentiating By Data Science ” at Rev in 2018 – an example of the kinds of premium quality talks you’ll hear at Rev this year! This is not that.

Data Science 66

Data Science Experimentation Data-driven Machine Learning 66

Jet Global

MAY 9, 2024

Data pipelines are designed to automate the flow of data, enabling efficient and reliable data movement for various purposes, such as data analytics, reporting, or integration with other systems. There are many types of data pipelines, and all of them include extract, transform, load (ETL) to some extent.

Data Lake 52

Data Lake Data Warehouse Business Intelligence Machine Learning 52