Click here to learn more about author Jon Pilkington. We have more data at our fingertips than entire generations before us. But due to data mismanagement issues, for many companies that doesn’t mean very much. According to the recent survey “Reducing Inefficiency and Increasing the Value of Analytics and Business Intelligence,” only 11 percent of participants […]
It’s All in the Preparation: Four Strategies to Monetize Your Data
Click to learn more about author Farnaz Erfan. As organizations continue to evolve their information strategy and find innovation opportunities, many seek to generate value through data monetization. Today, an increasing number of companies are actively seeking ways to monetize their data both internally and externally. Although still nascent in some industries, data monetization is […]
Data Profiling: The First Step to Data Science
Click to learn more about author Mark Hensley. In 2012 former Chief Data Scientist of the United States DJ Patil and Babson College Professor Thomson H. Davenport famously declared that the job of Data Scientist would be the “Sexiest job of the 21st Century.” While that may true, most Data Scientists spend the biggest chunk […]
Case Study: Unilog Leverages Data Preparation to Monetize Upstream Data
“Paxata has facilitated the monetization of our data,” said Noah Kays, Director of Content Subscriptions, at Unilog. Unilog is a global technology company specializing in e-commerce solutions and content for business-to-business distributors in the industrial products (electrical, plumbing, etc.) market. The solution includes Product Information Management system (PIM), a Content Management System (CMS), helping distributors […]
Augmented Analytics Use Cases
In an era where Business Analytics is about automating the data preparation and advanced analytics tasks, Augmented Analytics promises hopes for the future generation of Citizen Data Scientists. In Augmented Analytics, Machine Learning (ML) algorithms and Natural Language Processing (NLP) techniques together achieve automated Data Preparation and Business Intelligence. This innovative technology offers sophisticated tools to […]
The Impact of Data Quality in the Machine Learning Era
A significant issue in Enterprise Data Management today is Data Quality, because business data requires thorough cleansing and preparation to be used as input to any Analytics or Business Intelligence system. In an era of automated and Self-Service Business Analytics, Data Quality has assumed even more importance as average business users do not often have […]
Bringing Data Preparation to Everyone in the Enterprise
“Whether you’re working with Big Data, or whether you’re working with very small data sets, you always need to prepare data for anything that you’re doing with it,” said Paige Schaefer, Product Marketing Manager for Trifacta. Schaefer and colleague Matt Derda, Senior Customer Success Manager, recently talked with DATAVERSITY® about Trifacta’s Data Wrangling technologies. “Data […]
What is Social BI and How Can it Enable Business Success?
Click to learn more about author Kartik Patel. What is Social BI and How Can it Enable Business Success? As Self-Serve Business Intelligence and Data Analytics has evolved, the concept of Social BI and Business Intelligence collaboration has become more prominent. Today’s trends in social networking and collaboration drive Social BI within the organization and, as […]
Global Organizations Wasting Billions of Dollars on Data Preparation
A recent press release reports, “Clean data is a critical ingredient for robust and accurate analyses, yet many organizations are still relying on manual and inefficient processes to prepare and clean data, according to a new survey from Trifacta, the global leader in data preparation. These inefficiencies are draining resources and inhibiting organizations’ ability to […]
The Impact of Data Governance on Self-Service Analytics
An important reason for global enterprises of all sizes to embrace Self-Service Analytics & Business Intelligence (BI) is to allow business users and business units to conduct their daily Analytics work without relying on IT. According to Gartner, by 2019, business users indulging in self-service tools will deliver more Analytics-related output than qualified data professionals. […]