As a manufacturer, you’re interested to see what big data can do for you? Then check out these 12 real-life use cases for big data in manufacturing and see a nice and easy guide on how to start your big data action.
Learn about different types of data analytics and find out which one suits your business needs best: descriptive, diagnostic, predictive or prescriptive.
Explore five different types of artificial intelligence (AI) – analytic, interactive, text, visual and functional – and get inspired by real-life business examples of AI in action.
Data science with its deep learning algorithms allows for data-driven assessment of supplier risks. Is this approach good enough to undermine the position of a traditional one? Let’s explore how it works and what its advantages and limitations are.
We conducted secondary research, which serves as a comprehensive overview of how companies use big data. Here, you’ll find the facts arranged by organization size, industry and technology. You’ll also discover real-life examples and the value that big data can bring.
Dissatisfied with your demand forecasts? Instead of giving up on them completely, try reconsidering the methods you use. Here, we describe the approaches that will definitely work: traditional and contemporary data science.
Is inventory optimization still your headache? Here, we describe three pills you can take - simple math, statistics and machine or namely deep learning - and show why data science can be your #1 painkiller.
Setting up data quality management seems to be a blurry task? We show what a well-organized process looks like and enumerate the required tools. These best practices will help you improve the quality of your data and, ultimately, your decisions.
Similar at first glance, Cassandra and HBase actually are quite different in terms of architecture, performance and data models. What are these differences and how do they influence the tasks that HBase and Cassandra perform? It’s all here.
Rumor has it: Apache Cassandra performance is amazing. But are there any grounds for these talks? Should you immediately fall in love with Cassandra because ‘she’ is so cool or should you just stay friends? Make the decision here.