Megaladata Process Mining

Management

Megaladata Process Mining is a modular solution for analyzing and improving business processes using real data from event logs. It blends process analysis with data mining and machine learning.

Traditionally, businesses rely on analysts interviewing employees to map out processes and suggest improvements. This approach is often unreliable, incomplete, time-consuming and hard to scale. Megaladata Process Mining replaces guesswork with data , showing how processes actually work, not just how they’re supposed to.

How it works:

Collects and validates event log data from multiple sources, adding relevant details.
Measures process performance, pinpoints bottlenecks, and calculates costs at each stage.
Rebuilds the real process, highlighting actual workflows and deviations.
Monitors processes in real time, tracking KPIs and sending automated alerts to process owners
Designs improved process models, sets business rules, and tests scenarios to optimize future performance.

Megaladata Process Mining works across industries and process types, including:

Purchase to Pay and Order to Cash
Credit and customer account management
Supply chain and inventory movement
IT service management
Manufacturing and cash flow

It’s ideal for finance, distribution, retail, manufacturing, healthcare, and telecoms, helping organisations shift from assumptions to evidence-based process improvement.

View website

Exploratory Analysis

Calculates process and custom metrics for the process, analyses queues, process load, employee workload, productivity, loops and durations. Includes tools for bottleneck detection, factor analysis, machine learning algorithms and behavioural analysis.

Conformity Check

Verifies whether real processes match the intended design, identifies happy paths by channel and client type, and detects deviations from reference paths and Service Level Agreement (SLA) standards.

Improvement & Modelling

Enables teams to design the ideal future process, define business rules and run what-if simulations. The system then builds an optimal process model and determines statistically acceptable deviation thresholds.

Features

Data Collection & Preparation

Merges data from multiple sources, enriches it with additional attributes, extracts entities and performs input auditing and validation before analysis begins.
Metrics & Characteristics Calculation

Detects bottlenecks, identifies deviations from internal regulations, finds redundant steps and inefficient process variants, and calculates the time and financial cost of each process stage.
Real Process Reconstruction

Analyses the as-is process, identifies happy paths, performs behavioural analysis and benchmarking, analyses process deviations, and detects fraud patterns.
Process Monitoring

Configures ETL processes for regular event log imports, tracks KPIs at a defined frequency, and sends automated alerts to process owners via messaging apps and email when deviations are detected.
Stable Business Processes

Reduces manual corrections, cuts time spent on routine tasks, scales effective process execution methods, lowers operational costs, and improves employee productivity.
Fraud Detection

Analyses behavioural patterns and deviations to detect suspicious step sequences and flag potential fraud. Especially valuable for financial institutions where process integrity and compliance are critical.
Multi-Industry Applicability

Applicable across finance, distribution, retail, manufacturing, healthcare, and telecoms, for any multi-stage process with complex decision hierarchies that is logged by an information system.
Predictive Analytics (Add-on)

Assesses factor influence, identifies root causes, analyses input flow intensity, detects anomalies and optimises process paths. Available as an add-on, tailored to specific use cases.

Vendor

Deployment time: Demo and PDF presentation available on request; implementation tailored to specific process and industry requirements.

Megaladata is a low-code data analytics platform based in Yerevan, Armenia. The company creates tools for businesses and data professionals who need speed, flexibility, and efficiency in data management. Megaladata Process Mining is a specialized solution built on the Megaladata platform, focused on business project analysis, optimization, and continuous monitoring. designed for financial services, lending, and risk management.

More info