Data has three main functions that provide value to the business: To help in business operations, to help the company stay in compliance and mitigate risk, and to make informed decisions using analytics best practices. “Data can have an impact on your top line as well as your bottom line,” said Dr. Prashanth Southekal, CEO […]
What Is SVM Classification Analysis and How Can It Benefit Business Analytics?
This article provides a brief explanation of the SVM classification method of analytics. What Is SVM Classification Analysis? SVM classification is based on the idea of finding a hyperplane that best divides a dataset into predefined classes. The goal is to choose a hyperplane with the greatest possible margin between the hyperplane and any point […]
Machine Learning for Organizations: Where Is It Now?
Machine learning (ML), a branch of artificial intelligence (AI), was sometimes referred to as “cognitive computing” in the past, and certain academic circles still today. Machine learning applications have been used for decades to automate complex human tasks that require analytic thinking, but recently the technology has expanded to encompass more business functions. Advanced ML […]
Data Quality Challenges
The Data Quality and Data Management market is going through a paradigm shift where the focus has turned to the business user. Historically, business users have been at the mercy of over-burdened IT departments with limited resources, but IT is not to blame. Even with the simplest query, the answer used to be “It’ll be […]
Data vs. Disaster: 5 Ways Analytics Is Helping Tackle Climate Change
With the recent Intergovernmental Panel on Climate Change (IPPC) report painting a worrying picture of our battle against climate change, we will explore five ways analytics can help turn the tide. The UN Secretary-General, Antonio Guterres, called the report “a code red for humanity,” adding that “the alarm bells are deafening and evidence irrefutable.” U.S. President Joe […]
Is DataOps the Savior of Under-Pressure Analytics Teams?
DataOps is something that has been building up at the edges of enterprise data strategies for a couple of years now, steadily gaining followers and creeping up the agenda of data professionals. And many believe it could now finally be about to enter the mainstream. The number of data requests from the business keeps growing […]
Data Architect vs. Data Engineer
Data careers are becoming increasingly important and popular all across the globe, simply because “data” is the new currency of the data economy. The pandemic gave the needed push to accelerate the digital transformation of global businesses, and currently, the primary market differentiator is an enterprise’s data infrastructure readiness. This data infrastructure comprises systems, processes, […]
Data Warehouse vs. Data Lake Technology: Different Approaches to Managing Data
Solving business problems using big data depends upon the approach taken. For example, if an organization only knows data warehouses, then challenges will be framed to fit using a data warehouse. As Abraham Maslow, a prominent psychologist eloquently said “I suppose it is tempting, if the only tool you have is a hammer, to treat […]
Web Scraping for Science and Policy
Back in 2020, when the COVID-19 pandemic was in its earliest, scariest stages, researchers found that localized search trends could predict outbreaks more accurately and quickly than other measures. User-generated inputs on the internet provided access to useful and actionable insights. All of the predictions had been garnered from Google Trends and similar search-engine-based tools. However, there […]
4 Key Steps to Using Customer Data More Effectively
Customers now interact with brands in a variety of ways. They can shop in person at brick-and-mortar locations, talk with customer service representatives by phone, or browse, make purchases, and leave feedback online. Data is generated and collected at each one of these – and numerous other – touchpoints. But many companies do not know […]