Weather companies want to do their best so that consumers and businesses can have reliable forecasts – not just for the day but in advance of it. Accuracy matters to weather services such as the Weather Channel and AccuWeather and predictive analytics, along with Data Science, is allowing them to get more precise weather reports […]
Methods for Saving and Integrating Legacy Data
New digital technologies are designed for mobile devices, the cloud, and in-house databases. They offer a wide variety of opportunities for business today. Unfortunately, they are often completely incompatible with older, legacy database systems, and this incompatibility can make an organization slow and plodding, comparatively speaking, rather than efficient and useful. While new technologies can […]
Blockchain Uses Multiply with New Database Innovations
Blockchain is still considered new technology, best known for supporting cryptocurrencies such as Bitcoin and Ether. But blockchain can provide security for a variety of purposes, ranging from privacy controls on medical records to preventing vote tampering. Ultimately, blockchain is a secure, encrypted database of agreements. Blockchain serves as a bookkeeping/contract platform which is incorruptible […]
The Future of Analytics: What is All the Hype About?
Expert’s ears immediately perk up upon attending a talk about how to get big insights from analytics. After all, analytics has become the new hot topic of the day. However, asked Nipa Basu, during her keynote presentation The Future of Analytics at the DATAVERSITY Enterprise Analytics Online Conference: “What is the difference between hype and […]
A Brief History of Data Quality
The term “Data Quality” focuses primarily on the level of accuracy possessed by the data, but also includes other qualities such as accessibility and usefulness. Some data isn’t accurate at all, which, in turn, promotes bad decision-making. Some organizations promote fact checking and Data Governance, and, as a consequence, make decisions that give them an […]
Data Science Use Cases
A business use-case is generally defined as a sequence of business actions that lead to a predetermined, value-added outcome. Data Flair shares the Top 6 Data Science Use Cases slated to bring in another industrial revolution. From banking to transportation in the physical business world, and from social media to e-commerce on the digital business space […]
Case Study: PrecisionProfile Advances Healthcare Analytics with Improved Data Preparation
There’s one phrase that people never want to hear from their doctor: “I’m sorry, but you have cancer.” According to the National Cancer Institute, an estimated 1,735,350 new cases of cancer will be diagnosed in the United States this year and 609,640 people will die from the disease. Fortunately, and despite these statistics, many types […]
Machine Learning Transformed: Data Quality and Operational Necessities
Machine learning elicits mixed reactions. On the one hand, some consider machine learning a company’s new super power that has “swept enterprise technology, using mass amounts of data and algorithms to make predictions.” At the same time machine learning has been considered an overhyped fad and a panacea, failing to deliver. While both can be […]
Redefining Success with Agile Data Governance
Laura Madsen wants to challenge your outdated ideas about Data Governance. “I’m pretty sure that we wouldn’t use software that we used 20 years ago, but we’re still using Data Governance and Data Governance methodologies the same way we did 20 years ago.” And although she advocates for Agile, she’s not an Agile coach or […]
In-Memory Database Architecture: An Overview
In-memory databases work faster than databases with disk storage. This is because they use “internal” optimization algorithms, which are simpler and faster, and this type of system requires fewer CPU instructions than a disk storage system. Additionally, accessing data that has been stored “in-memory” eliminates the need for seek time while searching for data. As […]