Altexsoft

FEBRUARY 8, 2021

Supply chain practitioners and CEOs surveyed by 6river share that the main challenges of the industry are: keeping up with the rapidly changing customer demand, dealing with delays and disruptions, inefficient planning, lack of automation, rising costs (of transportation, labor, etc.), Optimization opportunities offered by analytics.

Business Intelligence 87

Business Intelligence Analytics Analysis Data 87

Altexsoft

APRIL 13, 2023

Leading executives focus on building resilient and intelligent supply chains that can withstand the turmoil due to data-based proactive decisions. Let’s look at what they say in recent surveys. To store all this diverse information, you’ll have to utilize a centralized data repository such as a data warehouse or data lake.

Technical Review 59

Technical Review Software Review Analytics Systems Review 59

Capgemini

NOVEMBER 14, 2022

Let’s look at how to best deliver the potential of self-service BI, demonstrating how an innovative business-centric catalog puts data at the fingertips of decision makers. Data has to be easy to find, understand, access, and use for everyone in the chain: data engineers, analysts, data scientists, and business users.

Agile 52

Agile Technical Review Systems Review Artificial Intelligence 52

O'Reilly Media - Ideas

FEBRUARY 11, 2020

Those suspicions were confirmed when we quickly received more than 1,900 responses to our mid-November survey request. The responses show a surfeit of concerns around data quality and some uncertainty about how best to address those concerns. Key survey results: The C-suite is engaged with data quality.

Weak Development Team 124

Weak Development Team Data Technical Review Survey 124

Strategy Driven

AUGUST 27, 2015

Dale Neef is a technology advisor, and author of Digital Exhaust: What Everyone Should Know About Big Data, Digitization and Digitally Driven Innovation (FT Press).

Big Data 33

Big Data Data Storage Journal 33

Altexsoft

JUNE 26, 2023

All successful companies do it: constantly collect data. They track people’s behavior on the Internet, initiate surveys, monitor feedback, listen to signals from smart devices, derive meaningful words from emails, and take other steps to amass facts and figures that will help them make business decisions.

Machine Learning 52

Machine Learning Artificial Inteligence Data Systems Review 52

Altexsoft

JULY 18, 2023

Its flexibility allows it to operate on single-node machines and large clusters, serving as a multi-language platform for executing data engineering , data science , and machine learning tasks. Before diving into the world of Spark, we suggest you get acquainted with data engineering in general.

Weak Development Team 52

Weak Development Team Big Data Data Machine Learning 52

Altexsoft

DECEMBER 14, 2022

Also, Stack Overflow Developer Survey 2022 showed that Docker became a fundamental instrument for being a developer with 69 percent of professional programmers choosing it as their number one tool. Source: Stack Overflow Developer Survey 2022. The Good and the Bad of the SAP Business Intelligence Platform.

Weak Development Team 52

Weak Development Team Linux Operating System Virtualization 52

Altexsoft

NOVEMBER 9, 2021

Traditionally, analytics is associated with business intelligence and data visualization that are focused on studying past events and current processes. Also known as predictive analytics, it’s about discovering hidden patterns and dependencies, forecasting future events, and supporting decisions with data. Extract data.

Analytics 52

Analytics Software Review Systems Review Technical Review 52

Altexsoft

OCTOBER 3, 2019

In January 2018, The US Bureau of Labor Statistics conducted an employee tenure survey. If you plan to consider data that candidates or current employees share on social media sites, add these portals in your list. Also, make sure you have the right to access and use individual-level data collected by external survey companies.

Analytics 16

Analytics Company Off-The-Shelf How To 16

Altexsoft

NOVEMBER 22, 2019

The importance of collecting and structuring guest data is reflected in a recent survey among hotel chains across the world. Data processing in a nutshell and ETL steps outline. But even perfectly cleansed and standardized, data is useless if it just stays in the warehouse. Improving customer experience.

Hotels 18

Hotels Data Technical Review Systems Review 18

Altexsoft

DECEMBER 9, 2020

We will describe each level from the following perspectives: differences on the operational level; analytics tools companies use to manage and analyze data; business intelligence applications in real life; challenges to overcome and key changes that lead to transition. Introducing data engineering and data science expertise.

Analytics 102

Analytics Technical Review Technology Applications 102

Datavail

SEPTEMBER 8, 2022

The sources in your data integration pipeline may include a wide variety of files, databases, websites, and applications—both internal and external. According to an IDG survey , companies now use an average of more than 400 different data sources for their business intelligence and analytics processes.

Data 40

Data Nonprofit Quality Assurance Education 40

Altexsoft

MARCH 14, 2023

That’s why some MDS tools are commercial distributions designed to be low-code or even no-code, making them accessible to data practitioners with minimal technical expertise. This means that companies don’t necessarily need a large data engineering team. Data democratization. Data sources component in a modern data stack.

Data 59

Data Technical Review Software Review Artificial Inteligence 59