Analytics Without Engineering is Just Reporting Blog Hub
| Author:
Sandra Suszterová
Solution Engineer in Revenue: Sales Engineering & EnablementHaving 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.
Latest from Sandra
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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...
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What Is AI in Data Analytics?
Data serves as a driving force for businesses, helping to guide their future decisions based on current performance. First, this data must be appropriately transformed into the correct format for users to create various visualizations and meaningful...
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6 of the best data analytics tools to use today
Data analytics tools are essential in today’s data-driven world, playing a crucial role in every company. Selecting the right tool is critical, as it directly influences the ability to make informed decisions, optimize processes, and achieve strategic...
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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...
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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,...
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Multi-Tenant Architecture: What You Need To Know
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 SaaS allows...
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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...
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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...
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Relational and Dimensional Data Models
A data model is an abstract model that helps to organize data elements and standardize how they are related. It reveals relationships between different real-world objects. It also refers to an output of data modeling: a process of creating visual diagrams...
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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...
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What Is a Data Model?
What Is a Data Model? Before we explore data models in detail, we need to be clear on what data is. Essentially, data is made up of facts, figures, and statistics that are collected, stored, analyzed, and used for making future decisions. In today's...
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What Is a Semantic Data Model?
In simple terms, data is facts or numbers in an electronic format. It needs to be collected, stored, transformed, and processed to extract valuable information — an integral step of business decision-making. Different use cases require or carry various...
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Physical Data Model vs. Logical Data Model
What Is a Data Model? A data model is a visual representation of data elements and the relationships between them based on real-world objects. Data models reveal and define how data is connected within business processes and support the creation of...
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What Is Multi-tenant Analytics?
Multi-tenant analytics refers to an analytics platform built on a multi-tenant architecture. It differs from other analytics solutions because it delivers dashboards and reporting capabilities to multiple end users (also known as tenants). Multi-tenant...
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How To Boost Your Analytics With APIs
API integrations are becoming more and more frequently adopted, so it’s no surprise they are also employed in data analytics and reporting. Companies are constantly trying to find the most efficient way to collect, analyze, and visualize their data to...
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Last Mile ETL: Enabling Fast, Flexible Data Delivery
GoodData recently launched its newest feature: Last Mile ETL, aka SQL-based datasets. This offers users a streamlined approach to data management, and allows for more efficient and effective data analysis. Last Mile ETL is designed to simplify and speed...
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What Is Multitenancy?
What Is Multitenancy? In today’s changing business environment, companies are looking for more efficient and cost-effective ways to manage their data and resources. One solution to these challenges is multitenancy, a concept that enables multiple...
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What is data architecture?
In order for data to be consumed in meaningful dashboards and visualizations, it must travel through various stages of a larger system. What does this entire process look like, start to finish? How is data in its raw form transformed into insights that...
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What Is Cloud Native in Analytics?
Cloud native is today’s cloud computing. It focuses on building and deploying applications, delivered to end users via the cloud model. Additionally, it provides benefits such as scalability, flexibility, and resilience. Being cloud-native reduces the...
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What Is Cloud Native?
Change, progress, and overall improvement all accelerate the pace of development in today's technology. This has enormous implications for companies worldwide. In general, one important rule applies: Staying on top of major technological trends can be...
