TechCrunch

SEPTEMBER 29, 2022

Petrossian met Coalesce’s other co-founder, Satish Jayanthi, at WhereScape, where the two were responsible for solving data warehouse problems for large organizations. (In In computing, a “data warehouse” refers to systems used for reporting and data analysis — analysis usually germane to business intelligence.)

Enterprise 184

Enterprise Data Business Intelligence Analytics 184

Kentik

MAY 23, 2017

Note that the above use cases cover network performance monitoring, planning, and business intelligence. Big data insights have the power to drive efficiency, market savvy, automation, and better service experience. It’s one thing to know that something would be good for your business, and quite another to actually achieve it.

Network 40

Network Open Source Big Data Load Balancer 40

OpenCredo

JULY 31, 2018

Who are the people in the organisation best placed to make use of Data in this way, discovering or generating insights to advise the business? Typically, these will be Business Intelligence analysts, Data Scientists, and Machine Learning Engineers. What about DevOps?

Artificial Inteligence 40

Artificial Inteligence Machine Learning Data Artificial Intelligence 40

Altexsoft

SEPTEMBER 20, 2019

Not only technological companies are concerned about data analysis, but any kind of business is. Analyzing business information to facilitate data-driven decision making is what we call business intelligence or BI. How is data visualized in BI? Business intelligence data processing in a nutshell.

Business Intelligence 18

Business Intelligence Tools Data Analytics 18

Cloudera

JULY 9, 2018

The three components of the data science iron triangle all have their challenges and strife. Only when organizations understand these challenges will they begin to harmonize and put them to work in a seamless fashion. Below we deconstruct three data science iron triangle dilemmas. How do I wrangle in my data science community?

Machine Learning 41

Machine Learning Artificial Inteligence Data Analytics 41

Altexsoft

NOVEMBER 9, 2021

Consider applying this approach if you work in a less stable environment, e.g., automotive market, fashion, or food products. Traditionally, analytics is associated with business intelligence and data visualization that are focused on studying past events and current processes. Extract data. Consolidate data.

Analytics 52

Analytics Software Review Systems Review Technical Review 52

Altexsoft

MARCH 30, 2023

But what do the gas and oil corporation, the computer software giant, the luxury fashion house, the top outdoor brand, and the multinational pharmaceutical enterprise have in common? The answer is simple: They use the same technology to make the most of data. How data engineering works in 14 minutes. Source: Databricks.

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Weak Development Team Machine Learning Artificial Inteligence Software Review 64