An application programming interface (API) is a powerful technology and a growing concept in the software development sphere. It can be used in a variety of business functions and in applications that we regularly use. We frequently hear about APIs, but most of us don’t realize that they have become more prevalent in our daily […]
Data Science: How to Shift Toward More Transparency in Statistical Practice
Data Science and statistics both benefit from transparency, openness to alternative interpretations of data, and acknowledging uncertainty. The adoption of transparency is further supported by important ethical considerations like communalism, universalism, disinterestedness, and organized skepticism. Promoting transparency is possible through seven statistical procedures: Data visualization Quantifying inferential uncertainty Assessment of data preprocessing choices Reporting multiple models Involving […]
Data Science Best Practices
When done right, Data Science delivers a lot of measurable values like improved products and services, enhanced customer experiences, sales growth, new business developments channels, and overall business efficiency. However, according to most reliable industry publications, most Data Science projects fail because the Data Science best practices are not followed. Why Do Businesses Need Data […]
The Data Storytelling Toolbox: Data Management, Digital Transformation, and Master Data
Scott Taylor believes in data storytelling. More to the point, he believes that telling a “data story” leads to Data Governance success. Taylor is a consultant and “Data Whisperer” at MetaMeta Consulting, and author of the book, Telling Your Data Story. In his presentation “Data Storytelling for Data Management” at DATAVERSITY®’s Enterprise Data World Conference, […]
Data Science vs. Decision Science: A New Era Dawns
Data Science vs. Decision Science: Basic Descriptions In Data Science, a variety of advanced technologies like data mining, statistics, predictive analytics, AI, and machine learning are used in conjunction to deliver solutions for business problems. In Decision Science, analyzed data is “interpreted” to arrive at business decisions that meet specific objectives. So while Data Science […]
How to Maximize IT Talent and Become a Data-Driven Organization
Organizations across the world are striving to be data-driven and use data more effectively to inform decision-making at every level of the business. However, according to the 2021 Big Data and AI Executive Survey from NewVantage Partners, only 40% of companies today manage their data as if it were a business asset. In other words, ambition is […]
Integrated Deployment – Deploying an AutoML Application with Guided Analytics
Welcome to our collection of articles on the topic of integrated deployment, where we focus on solving the challenges around productionizing Data Science. So far, in this collection we have introduced the topic of integrated deployment, discussed the topics of continuous deployment and automated machine learning, and presented the autoML verified component. In today’s article, we would like to […]
How Low-Code Is Bridging the Gap Between Data Scientists and Businesses
Coding is a foreign language for many high-level and C-suite executives who lead corporations today. However, it’s hard to find anyone who doesn’t understand the importance of technology and how our future will hinge on mastering it. Although many computer scientists argue in favor of low-code software for data scientists, there is an argument to […]
10 Actionable Steps to Create a Data-Driven Culture
By capitalizing on your data assets, do you want to acquire fruitful outcomes and actionable insights to make more informed and rational business decisions? To make your business a purely data-driven entity with a highly streamlined and targeted approach, you must embrace the change dictated by the valuable insights from the correct data analysis. By […]
Data Management vs. Data Science
The shift in the business perception of data has now catapulted Data Management into new heights. Data Science is a core component of Data Management now, but Data Management and Data Science are often seen as two different activities. Working among data analysts, data engineers, and DBAs, data scientists spend their time getting the data […]