Altexsoft

FEBRUARY 8, 2021

Managing a supply chain involves organizing and controlling numerous processes. diversity of sales channels, complex structure resulting in siloed data and lack of visibility. diversity of sales channels, complex structure resulting in siloed data and lack of visibility. defect rate), customer service (i.e., Establish KPIs.

Business Intelligence 87

Business Intelligence Analytics Analysis Data 87

TechCrunch

JUNE 17, 2021

Now, three alums that worked with data in the world of Big Tech have founded a startup that aims to build a “metrics store” so that the rest of the enterprise world — much of which lacks the resources to build tools like this from scratch — can easily use metrics to figure things out like this, too.

Metrics 247

Metrics Tools Data Big Data 247

Altexsoft

AUGUST 19, 2022

In our blog, we’ve been talking a lot about the importance of business intelligence (BI), data analytics, and data-driven culture for any company. Multiple studies continuously demonstrate the superiority of analytics-based organizations (e.g., What is Power used for? Microsoft backing.

Weak Development Team 52

Weak Development Team Data Azure Analytics 52

Altexsoft

SEPTEMBER 9, 2022

Metadata is basically information that describes other data. It helps us understand the origin, structure, nature, and context of data. As a result, we can categorize, organize, and then easily retrieve information. The National Information Standards Organization (NISO) suggested dividing metadata into three main groups.

Tools 59

Tools Technical Review Software Review Systems Review 59

Altexsoft

JANUARY 26, 2022

In recent years, it’s getting more common to see organizations looking for a mysterious analytics engineer. As you may guess from the name, this role sits somewhere in the middle of a data analyst and data engineer, but it’s really neither one nor the other. Here’s the video explaining how data engineers work.

Analytics 59

Analytics Engineering Data Engineering Software Engineering 59

Altexsoft

MARCH 31, 2020

These can be data science teams , data analysts, BI engineers, chief product officers , marketers, or any other specialists that rely on data in their work. The simplest illustration for a data pipeline. Data pipeline components. Data lakes are mostly used by data scientists for machine learning projects.

Data 76

Data Storage Analytics Data Center 76

Altexsoft

DECEMBER 23, 2022

Whether your goal is data analytics or machine learning , success relies on what data pipelines you build and how you do it. But even for experienced data engineers, designing a new data pipeline is a unique journey each time. Data engineering in 14 minutes. ELT vs ETL. Order of process phases.

Tools 52

Tools Software Review Systems Review Testing 52

Altexsoft

FEBRUARY 10, 2021

Similar to how DevOps once reshaped the software development landscape, another evolving methodology, DataOps, is currently changing Big Data analytics — and for the better. DataOps is a relatively new methodology that knits together data engineering, data analytics, and DevOps to deliver high-quality data products as fast as possible.

Analytics 75

Analytics DevOps Development Software Review 75

Altexsoft

NOVEMBER 9, 2021

NLP can extract information out of documentation, interpret it, categorize, organize, and apply other analytical methods. Procurement metrics and KPIs. We’ll describe the most essential metrics, but the list is nowhere near exhaustive since every company should choose the ones that fit best, depending on the business size and type.

Analytics 52

Analytics Software Review Systems Review Technical Review 52

Altexsoft

JULY 19, 2022

That’s exactly what every data-driven organization has been trying to find for years,” someone would come up with a new, better solution. Data mesh is another hot trend in the data industry claiming to be able to solve many issues of its predecessors. How a data mesh may look like.

Architecture 52

Architecture Data Analytics Data Engineering 52

Altexsoft

AUGUST 4, 2021

Instead of combing through the vast amounts of all organizational data stored in a data warehouse, you can use a data mart — a repository that makes specific pieces of data available quickly to any given business unit. What is a data mart? Moreover, not all organizations use data lakes.

Data 64

Data Analytics Construction Cloud 64

Altexsoft

FEBRUARY 22, 2022

Integration with a business intelligence tool is important to receive a holistic analysis of your maintenance processes, track costs, visualize trends, and get actionable insights. Integration with scheduling software will support your workforce management and help organize shifts of service teams.

Software Review 52

Software Review Technical Review Software Technology 52

Datavail

MARCH 10, 2022

There are many reasons for this failure, but poor (or a complete lack of) data governance strategies is most often to blame. This article discusses the importance of solid data governance implementation plans and why, despite its obvious benefits, many organizations find data governance implementation to be challenging.

Government 40

Government Strategy Weak Development Team Company 40

Abhishek Tiwari

JULY 20, 2019

ERP engineering squad - supply chain planning, purchase order management, product lifecycle management, merchandise planning, etc. Back-office engineering squad - customer support, business intelligence, real-estate management, systems for finance & HR, etc. You want to move fast. That's when you see things get done.

Engineering 61

Engineering Weak Development Team Software Review Technical Review 61

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. Stream processing.

Weak Development Team 52

Weak Development Team Big Data Data Machine Learning 52

Altexsoft

OCTOBER 3, 2019

This situation isn’t extraordinary: managers and HR specialists of any organization have been there. In this article, we’ll discuss the purpose of people analytics, its common use cases, and provide a roadmap of implementing HR analytics into an organization. What’s clear is that employees and managers will have work to do.

Analytics 16

Analytics Company Off-The-Shelf How To 16

Altexsoft

OCTOBER 21, 2022

The technology was written in Java and Scala in LinkedIn to solve the internal problem of managing continuous data flows. What does the high-performance data project have to do with the real Franz Kafka’s heritage? Banks, car manufacturers, marketplaces, and other businesses are building their processes around Kafka to.

Weak Development Team 93

Weak Development Team Technical Review Systems Review Software Review 93

Cloudera

OCTOBER 25, 2022

“They combine the best of both worlds: flexibility, cost effectiveness of data lakes and performance, and reliability of data warehouses.”. It allows users to rapidly ingest data and run self-service analytics and machine learning. You can also create metrics to fire alerts when system resources meet specified thresholds.

Cloud 52

Cloud Data Firewall AWS 52

Kentik

SEPTEMBER 5, 2017

To briefly review, Interface Classification enables an organization to quickly and efficiently assign a Connectivity Type and Network Boundary value to every interface in the network, and to store those values in the Kentik Data Engine (KDE) records of each flow that is ingested by Kentik Detect.

Transportation 40

Transportation Network Analysis Groups 40

Altexsoft

MAY 14, 2021

Data generated from various sources including sensors, log files and social media, you name it, can be utilized both independently and as a supplement to existing transactional data many organizations already have at hand. Data storage and processing. In this way, the complexity of Big Data gets more manageable.

Big Data 78

Big Data Analytics Tools Applications 78

Altexsoft

NOVEMBER 22, 2019

Key performance metrics (KPIs) — such as Average Daily Rate (average price per room), occupancy rate (the percentage of available rooms), Revenue per Available Room (RevPAR). Previously, the only way data could get into the PMS was the manual input performed by a front-desk manager. Data processing in a nutshell and ETL steps outline.

Hotels 18

Hotels Data Technical Review Systems Review 18

Altexsoft

DECEMBER 9, 2020

Some famous ones are: Gartner ’s Maturity Model for Data and Analytics, DELTA Plus by Tom Davenport, DAMM – Data Analytics Maturity Model for Associations, SAS Analytic Maturity Scorecard, and many more. Hard to believe, but even now there are businesses that do not use technology and manage their operations with pen-and-paper.

Analytics 102

Analytics Technical Review Technology Applications 102

Agile Engine

DECEMBER 27, 2023

What to look for when hiring a data analytics consultancy 10. Case study: leveraging AgileEngine as a data solutions vendor 11. Introduction With the growing availability of cloud and AI, the data collected by organizations is now worth its weight in gold. Emerging trends 9. Conclusion 1.

Big Data 52

Big Data Analytics Data Analysis 52