From March 2-5, Megaladata participated in MWC Barcelona 2026 as part of the Armenian IT Pavilion.
Blog
Megaladata at MWC Barcelona 2026
Megaladata 7.3.1 - Release Notes
Fixed errors related to the autogeneration of node captions, the SQL Script and Tree Union components, operating temporary tables, and the MS SQL connection under Linux, as well as some other bugs and...
Process Mining Development Trends
An overview of process mining trends: from retrospective analysis to AI-powered forecasts, from diagnostics to automated recommendations, and from isolated processes to a complete, interconnected view...
Megaladata Business Dinner in Yerevan: Bringing Leaders Together Around Data
On December 5, we hosted the Megaladata Business Dinner in Yerevan, our first private event organized for the local business and technology community.
Megaladata Launches Technical Partnership Program
We’re excited to announce the launch of the Megaladata Technical Partnership Program, an initiative designed for companies building software, analytics platforms, and automation systems that rely on...
Megaladata 7.3 - A Major Release
Megaladata 7.3 significantly expands its component library, introducing powerful new tools for working with data trees: converting data trees to JSON and vice versa, joining trees, or combining tree structures....
Cleaning Data Using the Duplicates and Contradictions Component
Data quality is an important aspect that directly impacts the results of analytical processing. There are many factors that can lead to data contamination. A typical problem is the occurrence of duplicate...
Working with the Date and Time Component
During the data preparation stage, it is often necessary to break down the date and time into their constituent parts. This article examines the capabilities of the Date and Time component of the Megaladata...
Megaladata Participates in the First FINNOWAY Armenia Forum
In November, Megaladata took part in FINNOWAY Armenia, a PLUS Forum event, focused on fintech innovation, digital banking, and financial technologies.
How to Resolve Data Quality Issues
Data quality is essential for effective decision-making. Organizations rely more on data-driven strategies to improve outcomes, yet many overlook the critical importance of accurate, complete, and...
Understanding the Data Function
The purpose of the Data function is to retrieve a specific value from any cell in a table. It works by using the column name and row number as coordinates to pinpoint the exact data you need.
Megaladata joined the Union of Employers of Information and Communication Technologies (UEICT)
We officially joined the Union of Employers of Information and Communication Technologies (UEICT) — one of the key organizations bringing together leading IT companies in Yerevan.
Use Case: Automated Solution to Determine Current Market Prices
A pilot project for a large natural resource extraction company that purchases thousands of spare parts on a regular basis. Megaladata's solution allows the company to update, clean, and compare price...
Data Analysis Methodology
When analyzing data, a common issue arises where the theoretical elegance of analytical methods clashes with reality. While it seems like every problem has a pre-existing solution, with so many known...
EMAIS: Megaladata Makes Life Easier for Electronics Manufacturers
Modern electronics projects require manufacturers to select hundreds and even thousands of components. Each component must be chosen from dozens of options, a process that involves evaluating factors like...
Regular Expressions in Megaladata
Regular expressions are a powerful tool that allows you to perform complex operations on strings, such as data extraction, validation, replacement, or text splitting. In this article, we will consider the...
TEK.day Gdańsk 2025
On September 11, 2025, we took part in TEK.day Gdańsk 2025, a specialized one-day trade fair for professionals in electronics design and manufacturing held at AmberExpo in Gdańsk, Poland.
Process Mining: An Analysis of Key Industries and Core Business Processes
Which industries are leading the implementation of process mining, and which are lagging behind? In which business processes is process mining actively used, and where has it yet to be implemented? This...
Megaladata Joins the NVIDIA Inception Program
We are excited to announce that Megaladata has joined the NVIDIA Inception Program, a global initiative designed to support some of the world’s most innovative technology startups.
Megaladata for Banks: The Advantages of a Low-Code Analytics Platform
In the highly competitive financial technology landscape, the efficiency of a bank's lending process is paramount to its success. Megaladata's low-code development platform offers a powerful and...
Logging into Megaladata with OpenID
In modern corporate information systems, centralized access management and secure user authentication are crucial. Configuring Megaladata login through OpenID Connect, with Keycloak as an authentication...
Integrating Amazon Simple Storage Service (Amazon S3) with Megaladata
Pairing Amazon S3's industry-leading object storage with Megaladata creates a highly efficient data management solution. This article explores three effective methods to integrate these powerful platforms:...
Data in the Corporate Information Factory
Data is one of a company's most valuable assets. However, for it to be useful, a special information architecture—a corporate information factory—is needed. Let's consider its structure, possible users,...
Use Case: dimedis
AI-based camera and sensor data collection for digital marketing. Real-time processing and generating recommendations based on key metrics.
Using PMML in Megaladata
PMML can be effectively used for integration with Megaladata, allowing you to apply, read, and transform models. Let's consider the process of preparing the system and installing all the necessary...
Megaladata at the European Collaboration Summit 2025
From May 26 to 28, Megaladata participated in the European Collaboration Summit (ECS) 2025 in Düsseldorf, Germany, one of the largest community-driven conferences for Microsoft technologies, data...
Release notes 7.2.6
Fixed critical errors on Linux which would make the desktop applications crash, and server editions restart. Fixed bugs in Excel File import and export components, the OLAP Cube visualizer, Export to...
Megaladata Establishes Business Partnership with Neural Factory
Megaladata established a business partnership with Neural Factory, a company specializing in artificial intelligence technologies and advanced machine learning solutions.
Job Scheduler
Megaladata server editions, starting with version 7.2, have a built-in job scheduler. This tool allows analysts to independently schedule tasks and automate work processes. The scheduler offers convenient...
Symbolic Links in Megaladata File Storage
A symbolic link (also known as "symlink" or "soft link") is one of the ways to solve the problem of restricted access to a file or folder when using Megaladata server editions.
Release notes 7.2.5
Fixed errors in Megaladata Desktop. Made corrections to connections, the Import from Database and Import from XML components, field and variable mapping, and other related elements. Resolved errors in the...
A New Retail Solution Powered by Megaladata Launches on the Market
The new AI-driven platform is designed to transform the online grocery shopping experience by automatically assembling personalized weekly shopping carts for customers.
Webinar: Automated Recommender Systems with Megaladata
Date and Time: 3/3/2025 7:00 p.m. (Mexico City) Meeting Format: Online (via Google Meet)
Confirmation Bias in Data Analysis
Confirmation bias in data analysis is the tendency for individuals to interpret data in ways that confirm their preexisting beliefs or hypotheses while disregarding or downplaying contradictory evidence. This...
Optimizing Technological Processes of a Steel Mill
Megaladata's pilot project at a major steel mill. The project confirmed the possibility of processing large amounts of data and building a quality model for heavy industry using the low-code Megaladata platform....
How to Predict Sales Using the ARIMAX Algorithm
In time series analysis, Autoregressive Integrated Moving Average (ARIMA) models are used for short-term forecasting based on past values. In this article, we will analyze the ARIMA model built in...
Data Breach 101: A Beginner's Guide
In today's digital world, our personal information is constantly being collected and stored. From online shopping to social media, we leave a trail of data wherever we go. But what happens when this...
Enterprise Information Ecosystem
In today's digitally driven business landscape, data has become an indispensable asset. The ability to effectively harness and utilize information is a key determinant of a company's success. To remain...
Sampling Methods and Algorithms in Data Analysis: Nonprobability Sampling
In our previous article, we discussed probability sampling, a method where samples are selected randomly, giving each population member an equal chance of inclusion. This article will explore...
Sampling Methods and Algorithms in Data Analysis: Probability Sampling
Sampling is a fundamental process in data analysis. It involves selecting a subset of individuals from a larger population to study. By analyzing this sample, researchers can draw reliable conclusions about...
Release notes 7.2.3
Fixed: Memory leaks in Calculator, bugs related to connections, database exports, and multiple text file imports. Improved: Operation of Neural Net, Supernode, Loop, and other components.
Improving Employee Skills in Data Science
The world is awash in data, yet we struggle to fully capitalize on its potential due to a severe shortage of skilled professionals. A significant mismatch persists between the demand for data scientists...