In the digital era, data is the lifeblood of businesses; data piling up from various customer or operational touch-points have to be efficiently collected and managed for a business to thrive and prosper. In short, Enterprise Data Management (EDM) impacts all core business functions like HR, CRM, ERP, or Supply Chain. In such a scenario, […]
Case Study: Data Virtualization Seasons the Machine Learning and Blockchain Landscape for McCormick
Food flavoring giant McCormick is spicing things by adopting Data Virtualization for a number of its key projects including the deployment of Machine Learning techniques and a Blockchain collaboration program with a prominent retailer as part of a plan to better control food quality. In a recent DATAVERSITY® interview with Terry Moon, an Information Architect […]
Case Study: NAMI Tames Cumbersome Analytics Processes
David Levy has been the Chief Financial Officer for the National Alliance on Mental Illness (NAMI) – responsible for accounting, finance, financial reporting, and HR – since 2012.The company has grown substantially in the last six years. According to the company website, NAMI is “the largest grassroots-based organization helping families and those affected by mental […]
Internet of Things vs. Edge Computing: Processing Real-Time Data
In Edge Computing, “data” is processed near the data source or at the edge of the network while in a typical Cloud environment, data processing happens in a centralized data storage location. The Forbes post This Is What You Need to Learn about Edge Computing provides a good illustration of this point. New iPhones have […]
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 […]
A Brief History of Non-Relational Databases
First came relational databases, which provide a useful comparison for understanding non-relational databases. Invented by Edgar F. Codd in 1970, the relational database arranges data into different rows and columns by associating a specific key for each row. Almost all relational database systems use Structured Query Language (SQL) and are remarkably complex. They are traditionally […]
Case Study: Artificial Intelligence Helps Bike Share Programs Get Smart
The North American Bikeshare Association (NABSA) reports that there were 50,000 bike share bicycles in the U.S. as of 2016, an increase of 30,000 bikes since 2012. Those bikes made 28 million trips in 2016, a 25 percent increase over 2015, and as of 2017, more than 130 North American cities had bike share programs. […]
Data Lake vs. Data Swamp: Leveraging Enterprise Data
One organization’s Data Lake may very well be someone else’s Data Swamp. The difference lies in how data is curated. What does this mean? For starters, a Data Lake describes where vast amount of data of various types and structures can be ingested, stored, assessed, and analyzed. Specifically, Data Lakes make it easy for Data […]
Deep Learning Use Cases
Deep Learning (DL) has become more than just a buzzword in the Artificial Intelligence (AI) community – it is reshaping global business through the prolific use of autonomous, self-teaching systems, which can build models by directly studying images, text, audio, or video data. Such systems can use that data for future pattern recognition. According 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. […]