Data and business have become inseparable, so if your business isn’t using data effectively, you’re in trouble. Yet using it effectively can be a struggle. Not knowing how to find the right data, not trusting the available data, and not having confidence in the tools and people providing that data can lead people to conclude […]
Evaluating Enterprise Data Literacy
Any organization that aims toward complete digital transformation must move toward Enterprise Data Literacy. So, what exactly is Data Literacy? Gartner defines Data Literacy as: “The ability to read, write and communicate data in context, including an understanding of data sources and constructs, analytical methods and techniques applied – and the ability to describe the […]
How to Become a DataOps Engineer
DataOps engineers are responsible for designing the data assembly line that allows data engineers and data scientists to gain insight from their analytics and research. DataOps engineers use processes and technologies to improve the speed and quality of projects being worked on. The DataOps philosophy can transform data teams, resulting in smaller development times, improved […]
Digital Transformation Best Practices
The term “digital transformation” (DT) encompasses the holistic framework and the associated strategy designed for integrating technology, business processes, and employee effort to get the maximum value for business customers. In a digitized business model, the “customer journey” is the central focus. While creating the DT framework, the business operators develop business models that are […]
Data Quality Metrics: Importance and Utilization
Data Quality metrics are a measuring system that allows the “quality of data” to be evaluated. Data Quality metrics can be used to determine how useful and relevant data is, and it helps to separate high-quality data from low-quality data. It is much easier—and safer—to make business decisions based on reliable information. Poor information (based […]
How to Influence Data Quality Through Data Stewardship
To get value from data, data stewards must understand business requirements and apply them. When business ambiguity arises about best serving data stakeholders, data stewards need to know how to find out this information and with whom to speak. Then these data trustees influence Data Quality for the better by aligning fit for purpose with business needs. Data stewards […]
Data Management 101
Data has the potential to provide useful and necessary information when making important business decisions. To ensure management and staff have the right data for decision-making, companies must invest in Data Management solutions that improve visibility, reliability, security, and scalability. In today’s digital economy, organizations are collecting and accessing massive amounts of data. Storing accurate, […]
Machine Learning, Data Governance, and Data Ethics
Data ethics — the collection and use of data in an ethical manner — can be combined with Data Governance and machine learning. Data ethics places a strong emphasis on the behavior of people or organizations as they gather or distribute data. Laws become necessary when some people chose to ignore ethical behavior. At its […]
Graph Databases: An Overview
The concept of graph databases traces back to Leonhard Euler. Euler was an 18th century Swiss mathematician who made several important discoveries in mathematics, such as infinitesimal calculus. In solving the “Seven Bridges of Königsberg” problem in 1736, Euler laid the foundations for graph theory. (He also got a fun shout-out in Hidden Figures when […]
Data Science Best Practices
When done right, Data Science delivers a lot of measurable values like improved products and services, enhanced customer experiences, sales growth, new business developments channels, and overall business efficiency. However, according to most reliable industry publications, most Data Science projects fail because the Data Science best practices are not followed. Why Do Businesses Need Data […]