A data warehouse stores data from in-house systems and various outside sources. Data warehouses are designed to support the decision-making process through data collection, consolidation, analytics, and research. They can be used in analyzing a specific subject area, such as “sales,” and are an important part of modern business intelligence. The architecture for data warehouses was […]
Developing a Cloud Migration Strategy
Cloud migration involves moving an organization’s data, applications, digital services, databases, and other IT resources to the cloud environment. A cloud migration strategy contains the blueprint for making this move happen. According to Gartner, more than 45% of IT spending will shift from traditional data-processing platforms to the cloud by 2024. This observation reaffirms the cloud platform’s popularity as […]
Making the Business Case for AI
Having made the suggestion the organization you work for needs artificial intelligence (AI) to support future growth, you are now required to make a presentation to the board of directors and convince senior leadership to invest in AI. Below are a few key considerations to consider while making the business case for AI. In terms […]
Data Governance Best Practices
With digital transformation initiatives on the rise, organizations are investing more in Data Governance, a formalized practice that connects different components and increases data’s value. Some may already have established Data Governance programs for older Data Management systems (such as for controlling master data) but may lack control in newer technologies like training an AI to generate […]
Types of Databases and Their Uses
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 […]