Stay ahead of change

This blog post shows data engineers how to leverage Azure Data Factory's built-in Azure Monitor metrics to create aggregated dashboards, intelligent alerts, and operational visibility that goes far beyond the limitations of ADF Studio's interface for monitoring pipelines at enterprise scale.

Welcome to our new blog series, "Meet Our Team," where we delve into the minds and experiences of the exceptional individuals who make Elitmind a leader in Data and AI solutions.

ESG reporting has evolved from optional to mandatory under CSRD regulations, requiring organizations to follow a structured 14-step process including double materiality assessment, stakeholder engagement, baseline establishment, and continuous improvement to demonstrate sustainability commitment and regulatory compliance.

ESG dashboards are dynamic visualization tools that consolidate Environmental, Social, and Governance metrics in real-time, enabling organizations to enhance decision-making, ensure regulatory compliance, improve stakeholder engagement, and gain competitive advantages through sustainable business practices.

Iwona Kamińska, a Data & Analytics Consultant at Elitmind, shares her typical workday combining business analysis, project management, and technical testing while working on sustainability KPIs and data mapping for international clients from her home office.

Microsoft Power Platform components like Power Apps and Power Automate can be integrated into Power BI reports to enable advanced functionalities such as custom data writeback, flexible what-if scenarios, and automated alerting, transforming static reports into interactive business solutions.

ETL (Extract-Transform-Load) processes and structures data before loading it into warehouses, while ELT (Extract-Load-Transform) loads raw data first and transforms it later, with ELT being more modern and flexible for cloud-based analytics but ETL remaining better for large, structured projects.

Organizations are adopting Modern Data Platforms built on cloud technologies like Microsoft Azure to combine traditional data warehousing with advanced analytics capabilities, enabling faster implementation, cost-effectiveness, and access to both structured reporting and raw data for machine learning applications.

The COVID-19 pandemic accelerated e-commerce growth in Poland by nearly 26% in 2020, forcing businesses to adopt modern analytical platforms and data-driven decision-making tools to optimize customer segmentation, inventory management, and real-time marketing campaigns in the increasingly competitive digital marketplace.

Data visualization is the graphical representation of numeric data that enables faster decision-making and better communication within organizations by transforming raw numbers into easily digestible visual formats like charts and dashboards.

Model Factory: a powerful, scalable, and customizable solution that revolutionizes how organizations manage the ML lifecycle.

This article demonstrates how Databricks' new serverless forecasting with AutoML simplifies time series prediction by automatically selecting optimal algorithms and hyperparameters, as illustrated through a practical example of forecasting the WIG20 stock market index where the automated process generated, evaluated, and deployed multiple models in under 2 hours.