Efforts to democratize Data Science can be described as creating an environment that allows people with little expertise to perform Data Science research. This approach can be especially useful for businesses desperate to access the skills of a data scientist, but unable to hire one. A variety of user-friendly analytics tools have become available to support staff […]
Data Lineage and Data Quality: How They Intersect
The intersection of data lineage and Data Quality helps provide more accurate and useful information. Data Quality represents the accuracy of data. Internet businesses need good Data Quality to operate efficiently. Unfortunately, there can be obstacles in gathering, storing, and maintaining high-quality data. The use of data lineage can help eliminate those Data Quality obstacles by providing […]
Creating and Implementing a Metadata Strategy
Developing a metadata strategy is necessary for a growing business to maintain and improve efficiency. Metadata is a small amount of data that is used to identify a larger collection of data (images, text, files, digital objects). It is generated each time data is collected from its source, moved through a data system, accessed by […]
Data Quality Best Practices
Using Data Quality best practices to gather accurate data is essential for gaining useful results from research and providing visiting customers with a good experience. Data has become a key part of most business transactions and operations. The quality of data that is gathered, stored, and used are major factors in the success of a […]
Advances in Metadata Management
With the flood of data that organizations are experiencing, metadata management is no longer optional – it has become a necessity. The concept of metadata management is fairly new because older metadata services, before this rush of data, had no significant problems locating data files. Now they do. Metadata, at its most basic, can be described […]
Leveraging Enterprise AI
Leveraging enterprise artificial intelligence (AI) provides a system that can automate repetitive tasks, answer questions, and improve decision-making. The AI operates machine learning extensions and automated services to deliver satisfying customer experiences and can streamline research projects. Enterprise AI can be described as a combination of machine learning and deep learning algorithms. With enterprise AI, managers and […]
Developing a Data Strategy Roadmap
A Data Strategy roadmap is a step-by-step guide to transform a business from its current state into the desired business organization. It is a more detailed, researched version of the Data Strategy and communicates when and how to implement specific advances to develop and upgrade a business’s data processes. A Data Strategy roadmap acts as a useful […]
Machine Learning Tools
Machine learning tools allow computers to become more accurate in predicting outcomes. The computer’s software makes decisions based on experiences rather than programming. The algorithm (basically a series of instructions) collects data on its interactions, and that data is used as feedback for the algorithm, which changes its behavior and responses, improving them over time. […]
A Guide to Time Series Databases
Time series databases (or TSDBs) are databases that have been optimized for processing time series data. Time series data is made up of data records that are indexed using timestamps. The timestamps provide a reference for each of the data records and show how they relate to one another in time. An example of time […]
Data Governance Frameworks
A Data Governance framework can be described as a collection of processes, rules, and responsibilities used to structure an organization’s Data Governance program. A solid framework will cover data standards, data privacy, business strategies, and the responsibilities of key individuals. Well-designed Data Governance frameworks support effective Data Governance programs and should standardize rules and processes across the […]