Click to learn more about author Ammar Ali. We have seen an unprecedented increase in modern data warehouse solutions among enterprises in recent years. Experts believe that this trend will continue: The global data warehousing market is projected to reach $51.18 billion by 2028. The reason is pretty obvious – businesses want to leverage the power of data […]
Time Series Analysis with Components
Click to learn more about co-author Maarit Widmann. Click to learn more about co-author Daniele Tonini. Click to learn more about co-author Corey Weisinger. Time Series Forecasting is often neglected says Professor Daniele Tonini: “Considering the plethora of articles, applications, web tutorials and challenges on the data science subject that we’re seeing in the last […]
Case Study: Pally Biscuits Uses Modern Data Estate to Enhance Decision-Making
Click to learn more about author Heine Krog Iversen. Pally Biscuits makes more than three billion biscuits every year. The company has been around since 1868. From its factory in the Netherlands, the biscuits find their way to more than 40 countries worldwide. Pally Biscuits has seen massive growth since 2012 and to facilitate this […]
Why Data Is Essential to Successful Digital Transformation
Click to learn more about author Gaurav Belani. Before we get into the specifics of why data is essential to the success of digital transformation, let’s first get acquainted with the term “digital transformation” that’s becoming every business manager’s favorite word these days. What Is Digital Transformation? In simple words, digital transformation can be defined […]
What Is Binary Logistic Regression and How Is It Used in Analysis?
In this article, we will discuss the Binary Logistic Regression Classification method of analysis, and how it can be used in business. What Is Binary Logistic Regression Classification? Logistic regression measures the relationship between the categorical target variable and one or more independent variables. It is useful for situations in which the outcome for a […]
Tracking User Data Movement in Your Network: Five Things to Know
Click to learn more about author Avee Mittal. Advances in Internet of Things (IoT) systems are increasingly facilitating data collection and information transfer over the IoT network to provide a range of automated services to the users. Be it health care, traveling, learning, or smart home, through IoT systems, networks, and connected devices, users in the real […]
The Third Pillar of Trusted AI: Ethics
Click to learn more about author Scott Reed. Building an accurate, fast, and performant model founded upon strong Data Quality standards is no easy task. Taking the model into production with governance workflows and monitoring for sustainability is even more challenging. Finally, ensuring the model is explainable, transparent, and fair based on your organization’s ethics […]
What Is Naïve Bayes Classification and How Is It Used for Enterprise Analysis?
Click to learn more about author Kartik Patel. What Is Naïve Bayes Classification? Naive Bayes is a classification algorithm that is suitable for binary and multiclass classification. It is a supervised classification technique used to classify future objects by assigning class labels to instances/records using conditional probability. In supervised classification, training data is already labeled with […]
Seven Data Management Tips and Best Practices for Small Business Owners
Click to learn more about author Lidia S. Hovhan. Data is all-pervading in the modern world. Regardless of one’s industry or field, every organization always uses data in their everyday operations to help them attain their goals or help monitor their performance. However, without incorporating Data Management best practices, your data analysis may be flawed. […]
Making Business Decisions with Mathematical Optimization
Click to learn more about author Keith D. Foote. Mathematical optimization has become a problem-solving technology that can be used to automatically generate solutions to business problems. It helps in selecting the best business choices possible. One basic feature of mathematical optimization is the recognition that decisions, and their resulting actions, have far reaching implications […]