There are several types of databases, and their differing designs process data in different ways. Providing access to information is the primary purpose of a database. They can be used for a variety of tasks, ranging from storing photos to buying items online to analyzing marketing and sales data. Large amounts of information can be […]
Advanced Analytics Use Cases
In 2023, organizations that switch to advanced analytics will be better positioned to leverage new opportunities in their respective industries. Increasingly, with the use of automated data analytics, companies are turning to analytics systems and advanced analytics use cases for strategy transformation and digital strategy. Advanced analytics systems are gradually upgrading many companies, creating business […]
4 Common Data Integration Challenges
The ability to integrate data successfully into a single platform can be a challenge. Well-integrated data makes it easy for the appropriate staff to access and work with it. Poorly integrated data creates problems. Data integration can be described as the process of collecting data from a variety of sources and transforming it into a format compatible […]
Fundamentals of Metadata Management
Metadata powers effective action on information by providing context, content, and structure. When this information is managed well, data consumers can find and get the correct data they need. As Atlan Prukalpa Sankar states, “Metadata is the glue that can bind the modern data stack together, the layer that will allow increasingly diverse, siloed tools and people to collaborate effectively.” Grasping the […]
Machine Learning Examples and Applications
A subfield of artificial intelligence, machine learning (ML) uses algorithms to detect patterns in data and solve complex problems. Numerous fields and industries depend on machine learning daily to improve efficiency, accuracy, and decision-making. Recently, ML technologies have been reinforced by two subfields of their own: deep learning (DL) and computer vision. Read on for real-world examples […]
Structured vs. Unstructured Data: An Overview
Structured data and unstructured data are both forms of data, but the first uses a single standardized format for storage, and the second does not. Structured data must be appropriately formatted (or reformatted) to provide a standardized data format before being stored, which is not a necessary step when storing unstructured data. The relational database […]
A Brief History of Business Intelligence
In 1865, Richard Millar Devens presented the phrase “Business Intelligence” (BI) in the “Cyclopædia of Commercial and Business Anecdotes.” He used it to describe how Sir Henry Furnese, a banker, profited from information by gathering and acting on it before his competition. More recently, in 1958, an article was written by an IBM computer scientist […]
The Data Trifecta: Privacy, Security, and Governance from Reactivity to Resilience
Chances are, if you’re running a business whose bottom line relies heavily on data, you have untapped data value right at your fingertips. How to extract more meaningful insights while complying with strict regulations? You must reframe how you think about the traditionally separate realms of data privacy, security, and governance, said the panelists at […]
Data Science 101
Data Science is an interdisciplinary field that allows businesses to study and analyze large volumes of data and derive meaningful information from it. It combines elements of artificial intelligence, machine learning (ML), and knowledge engineering to uncover insights from data. Data Science uses ML techniques such as supervised learning, unsupervised learning, deep learning, and reinforcement learning […]
Developing a Strategy to Democratize Data
The goal of building a strategy to democratize data is to allow all appropriate staff to access the organization’s data, regardless of their technical skills or job description. Previously, a researcher would have to submit a request to the IT department for the information they needed. For example, if a production manager wanted a mid-month […]