Click to learn more about author Kartik Patel. Your business users probably fight you on improving Data Literacy and on implementing digital transformation. Many business users have a fear of analytics and envision having to become a business analyst or a data scientist in order to fulfill the vision of the business and its citizen data […]
Slides: How Automating Data Lineage Improves BI Performance
Slides: How Automating Data Lineage Improves BI Performance from DATAVERSITY To view just the On Demand recording of this presentation, click HERE>> This webinar is sponsored by: About the Webinar BI landscapes are becoming increasingly complex with the surge in adoption of cloud technologies. Your BI group may have one foot in legacy systems and the […]
Webinar: How Automating Data Lineage Improves BI Performance
To view just the slides from this presentation, click HERE>> This webinar is sponsored by: About the Webinar BI landscapes are becoming increasingly complex with the surge in adoption of cloud technologies. Your BI group may have one foot in legacy systems and the other in more modern cloud-based systems, and this alone makes managing and […]
Being Data-Driven Means Embracing Data Quality and Consistency Through Data Governance
Click to learn more about author Terence Siganakis. Organizations are constantly coming to us wanting help in becoming more “data-driven.” They want to improve their decision making, shifting the process to be more quantitative and less based on gut and experience. This is a worthy goal but is a little more complex than just putting dashboards […]
A Brief History of Data Literacy
Data Literacy is essentially the ability to read and understand data, much as one might read and understand a magazine article. The primary advantage of having the bulk of the staff made up of people who are data literate is that it reduces the need for data scientists. People on staff can handle many of […]
An Introduction to Integrated Deployment
Click to learn more about author Paolo Tamagnini. Welcome our integrated deployment blog series, where we focus on solving the challenges around productionizing Data Science. Topics will include: Resolving the challenges of deploying models Building guided analytics applications that create not only a model but a complete model process, using our component approach to AutoML […]
What Are Simple Random Sampling and Stratified Random Sampling Analytical Techniques?
Click to learn more about author Kartik Patel. This article discusses the analytical technique known as sampling and provides a brief explanation of two types of sampling analysis and how each of these methods is applied. What Is Sampling Analysis? Sampling is the technique of selecting a representative part of a population for the purpose of […]
The Future of Augmented Analytics: Adding the “Why” into Your Business Reports
Click to learn more about author Neerav Parekh. Data is the new oil, and unlike oil, we are never going to run out of data. With more and more data being produced each minute, businesses have massive, complex datasets that are difficult to deal with. Digging deeper into the data to uncover valuable insights is […]
Tapping the Value of Unstructured Data: Challenges and Tools to Help Navigate
Click to learn more about author Daniel Martin. The amount of data generated in the digital world is increasing by the minute! This massive amount of data is termed “big data.” We may classify the data as structured, unstructured, or semi-structured. Data that is structured or semi-structured is relatively easy to store, process, and analyze. […]
Data Management, Artificial Intelligence, and Ethics
Combining ethics with Data Management and artificial intelligence can build an organization people will trust. Ethical behavior promotes the smooth functioning of human interactions, which includes business, and supports the overall community. AI has the potential to make ethical decisions and can be used to create a healthy relationship with the customer base. Businesses can […]