Click to learn more about author Maarit Widmann. A complete time series analysis application covers the steps in a Data Science cycle from accessing to transforming, modeling, evaluating, and deploying time series data. However, for time series data the specific tasks in these steps differ in comparison to cross-sectional data. For example, cross sectional data are […]
Citizen Data Scientists: Where Do They Belong?
The phenomenal growth of data technology in recent years has led to the rise of the citizen data scientists (CDS). Developments in augmented analytics and artificial intelligence (AI) automation have now made it possible for ordinary business employees to conduct advanced analytics or business intelligence (BI) which would have required expert knowledge even some years […]
The Importance of Data Science and Analytics in the Finance Industry
Click to learn more about author John Russell. It is estimated that by the end of 2020, there were approximately 40 zettabytes (40 trillion gigabytes) of data in the world. If it feels a bit difficult to wrap your head around that number, don’t worry – you are not alone! It is a truly staggering […]
The AI Trends Reshaping Health Care
Click to learn more about author Ben Lorica. Applications of AI in health care present a number of challenges and considerations that differ substantially from other industries. Despite this, it has also been one of the leaders in putting AI to work, taking advantage of the cutting-edge technology to improve care. The numbers speak for […]
Tales of A Common Vocabulary, Data Quality, and Machine Learning, Oh My!
Order in the court! Order in the court! The case being heard is a serious one. The defendant—the Chief Data Architect of VeraVisionFake Inc.—is accused of having ignored the need to establish a valid and sound common data vocabulary in her organization. She is up against The Common Vocabulary Value regulatory agency, whose mission is […]
A Look Inside the Modern Analytics Stack
Click here to learn more about Amit Levi. In the data-driven world we live in today, the field of analytics has become increasingly important to remain competitive in business. In fact, a study by McKinsey Global Institute shows that data-driven organizations are 23 times more likely to outperform competitors in customer acquisition and nine times […]
What Is Data-Driven?
The term data-driven describes a business state where data is used to power decision-making and other related activities efficiently, in real-time. For a business, reaching the data-driven state is like the difference between driving an automobile and traveling by horse. Data-driven businesses get to their destination faster and more efficiently. Data-driven characteristics include well-integrated data […]
Best Practices for Supply Chain Analytics in the Post-COVID-19 Era
Click to learn more about author Ashok Sharma. There are few crises in world history that have affected the supply chain like COVID-19. The pandemic has caused unprecedented stress and brought an insane level of scrutiny. Business leaders need to think differently and take appropriate measures to streamline their supply chain operations, using data as their […]
Integrated Deployment: Continuous Deployment
Click to learn more about author Paolo Tamagnini. In this second article of our integrated deployment blog series – where we focus on solving the challenges around productionizing Data Science – we look at the model part of the process. In the previous article we covered a simple integrated deployment use case. We first looked at an existing […]
What Is Spearman’s Rank Correlation and How Is It Useful for Business Analysis?
Click to learn more about author Kartik Patel. This article describes the Spearman’s Rank Correlation and how it is used for enterprise analysis. What Is Spearman’s Rank Correlation? Correlation is a statistical measure that indicates the extent to which two variables fluctuate together. A positive correlation indicates the extent to which those variables increase or decrease […]