Blog Hub
|   Author:  Sandra Suszterová
Sandra Suszterová photo
Author

Sandra Suszterová

Solution Engineer in Revenue: Sales Engineering & Enablement

Having joined GoodData in 2021, Sandra started as a content creator focused on SEO-driven articles exploring analytics and business intelligence topics, highlighting GoodData’s key capabilities. Sandra has now transitioned to the sales department, putting her wealth of technical expertise to work as a Solution Engineer — helping future customers understand how GoodData fits their needs, both strategically and technically.

Connect with the author
Linkedin icon

Latest from Sandra

Blog

How to write a competitive article?

In today's competitive landscape, writing an article that stands out is a constant challenge., particularly one that pits yourself against the competition. In the analytics and Business Intelligence (BI) market, many vendors strive to outshine their...
How to write a competitive article?
Blog

What Is AI in Data Analytics?

Summary The article explains how artificial intelligence (AI) is being integrated into analytics to move beyond simply reporting what has happened. It shows how AI can uncover why something happened, predict what will happen, and automate insights for...
What Is AI in Data Analytics?
Blog

6 of the best data analytics tools to use today

Summary This article highlights six leading data analytics tools that help organizations improve decision-making, streamline workflows, and increase business value. It explains the key factors to consider when selecting a tool, such as the ability to...
6 of the best data analytics tools to use today
Blog

Why Augmented Analytics is Crucial for Modern Businesses?

Companies are dealing with rapidly growing amounts of data from diverse sources, making it increasingly difficult for decision-makers to extract meaningful insights. Augmented analytics offers a solution, enabling both data professionals and business...
Why Augmented Analytics is Crucial for Modern Businesses?
Blog

Data Warehouse, Data Lake, and Analytics Lake: A Detailed Comparison

Every application generates real-time data, which is stored in its database. This data, whether current or historical, helps businesses evaluate performance and make informed decisions. To manage and analyze it, companies use Data Warehouses, Data Lakes,...
Data Warehouse, Data Lake, and Analytics Lake: A Detailed Comparison
Blog

Multi-Tenant Architecture: What You Need To Know

Summary Multi-tenant architecture, also known as multitenancy, has become an increasingly important concept in today’s application development paradigm, largely due to the boom in cloud computing and software-as-a-service (SaaS) business models. Where...
Multi-Tenant Architecture: What You Need To Know
Blog

Data Governance: All you need to know

Data is an essential part of every business, driving operations across all industries. This makes it one of the most valuable assets a company possesses. However, with great value comes great responsibility, and it is crucial therefore to manage this...
Data Governance: All you need to know
Blog

4 Industry Examples of Leveraging Predictive Analytics

Predictive analytics helps businesses anticipate trends, seize opportunities, and prevent losses. With increasing data and user-friendly software, this technology is becoming essential for strategic planning and boosting profitability. What is predictive...
4 Industry Examples of Leveraging Predictive Analytics
Blog

Relational and Dimensional Data Models

Summary This article compares two common approaches to structuring data for analytics: relational models and dimensional models. It explains how relational models prioritize data integrity and work well for operational systems, while dimensional models...
Relational and Dimensional Data Models
Blog

Data Integration: Definition, Types, and Use-Cases

What is data integration? Data integration involves merging various data types — structured and unstructured — from multiple sources into a single, consistent dataset. This process includes critical steps such as extracting, transforming, and loading the...
Data Integration: Definition, Types, and Use-Cases