To view just the slides from this presentation, click HERE>> About the Webinar Companies all over the world are going through digital transformation now, which in many cases is all about maturing the data environment and the use of data. Master data is key to this effort. All transformative projects require master data and usually […]
Eradicating Broken Data Integration Approaches to Unleash Advanced Analytics
As enterprises continue to struggle with the effects of the global pandemic, the modern data analytics stack is undergoing a shock of its own. The world has changed, and we’re living in a new hybrid multicloud reality. Lower levels of the IT stack, which is to say, data centers, networks, raw storage and compute, are […]
Fundamentals of Descriptive Analytics
In descriptive analytics, data aggregation, and data mining techniques are used to collect and review the historical data of a business to gauge the past performance. The most common example of descriptive analytics is the reports that a user gets from Google Analytics tools. A web server’s summarized performance reports may help the user analyze […]
Using Big Data Analytics to Combat White-Collar Crime
In the era of globalized markets, burgeoning international trade, complex financial systems, ever-evolving compliance and regulatory landscapes, and rapid technology advancement, white-collar crime has unfortunately seen a significant uptick in scale, variety, and sophistication. Whereas white-collar crime used to conjure images of high-flying executives stealing from company coffers, the modern landscape is much more complex, […]
The Fundamentals of Deep Reinforcement Learning
Reinforcement Learning (RL), a “niche” Machine Learning technique, has surfaced in the last five years. In context-based decision making, Reinforcement Learning helps the machine take action-provoking decision making through a trial-and-error approach to achieve the optimal algorithmic model for a situation. Furthermore, the machine is trained through a reward/penalty-based feedback mechanism, the goal of which […]
A Brief History of Deep Learning
Deep Learning, is a more evolved branch of machine learning, and uses layers of algorithms to process data, and imitate the thinking process, or to develop abstractions. It is often used to visually recognize objects and understand human speech. Information is passed through each layer, with the output of the previous layer providing input for […]
Webinar: Effective BI Portal Design Patterns to Drive High User Engagement
To view just the slides from this presentation, click HERE>> This webinar is sponsored by: About the Webinar A well-designed BI Portal can be transformational by dramatically boosting user engagement with analytics. Providing a highly tailored user experience helps users cut through the clutter in the reporting environment and engage with the right analytics to […]
Slides: Effective BI Portal Design Patterns to Drive High User Engagement
Effective BI Portal Design Patterns to Drive High User Engagement from DATAVERSITY To view the on-demand recording from this presentation, click HERE>> This webinar is sponsored by: About the Webinar A well-designed BI Portal can be transformational by dramatically boosting user engagement with analytics. Providing a highly tailored user experience helps users cut through the clutter […]
How to Use Data Analytics to Gain Valuable Insights with Limited Data
Every modern business professional understands the importance of data. Data can separate the forest from the trees, providing business leaders with a new perspective. From valuable insights regarding customer satisfaction to understanding vital improvements that you can make operationally, data analytics can provide a huge return on investment. However, many businesses shy away from Data Science and analytics because they feel […]
Bringing Data Science into the Organization
In a nutshell, Data Science accelerates business growth. Sudeep Rao, offers solid evidence of this by stating that worldwide nearly $30 billion is invested annually for artificial intelligence (AI) and machine learning (ML) projects. A BI and analytics survey indicated that 94% of the survey participants reported “data and analytics” as important factors for the […]