Visualization & streaming: How to use it to your advantage

Visualization & Streaming

Importance of data visualization Many people would say that knowledge sharing is one of the noblest things any human being can do. Aside from helping other people grow and be better, by sharing their knowledge people become happier, develop new professional or private connections and bring more purpose to their life. This is why the […]

All you need to know about data misinterpretation and misuse

data misinterpretation

Data misinterpretation comes from deliberate or unintentional false data interpretation. Often different data users will interpret data differently. It depends on the level of data literacy and what exactly users need for the data to show. Various influences determine how we see and use data, and wrong representation can lead to incorrect insights and metrics. […]

Deep dive into data democratization – the good and the bad

Data democratization

Data democratization is being labeled as one of the most attractive trends in data science and data management for the upcoming years. It’s been raising hype for quite some time and it’s not slowing down. As companies face more and more data, they need effective ways of handling it, but at the same time, they […]

Apache Spark – How to create a powerful streaming application

Apache Spark

After setting up Apache Kafka, the next step in our Retail Business Intelligence Platform project  was to set up Spark, another widely used software solution from the Apache workshop. Apache Spark, the real spark necessary to ignite our project and turn it into a true stream processing arrangement, is probably the most famous streaming engine […]

Data streaming and how to influence business decisions

data streaming

In data streaming, data flows in continuously. That means that data is processed instantly and in real or near real-time. This is an advantage over batch processing where it’s required for data to be downloaded in batches first. It’s an obvious benefit for decision-making. Here, decision-makers get data at the time of the event and […]

Approach for building a business intelligence platform for retail companies

business intelligence platform

Let us introduce our new series of blog posts where you can discover how to build a system and a business intelligence platform that consists of streaming, real time analysis, predictive component, batch processing, and reporting. We will dive into our approach to a new challenge where sales data plays the leading part. After winning […]

How to turn SKU analysis to your advantage

SKU analysis

SKU or Stock Keeping Unit is a base code for tracking goods or products across various functions or departments inside or outside the company. Based on the unique identification number, businesses follow the movements of specific products or product categories to better understand their performance and profitability. When companies deal with a great number of […]

Data, but make it customer-centric

Customer centric

3 methods that lead to your perfect customer Looking at any data set you collect in your business processes, you’ll realize it revolves around your customer or client. Each piece of information provides insights that are used for the objective of providing the best user experience. Whether we talk about products or services, the goal […]

Let’s dive into data science tools and algorithms

Data science tools

Croatia Osiguranje & BIRD Incubator Data Challenge – Part 2 After we explained fundamental data science concepts and techniques in the first part of this post, the second one will be about the tools and algorithms that were used during this Data Challenge. Data science tools As always, it is very important to use the […]

Let’s dive into time series forecasting concepts

Data Science

Croatia osiguranje & BIRD Incubator Data Challenge – Part 1 Data science isn’t only about using fancy visualization tools and robust machine learning algorithms. There is a lot of manual hard work beneath the shiny and aesthetically pleasing solutions. In this blog post, divided into two parts, we tried to sum up data science concepts, […]