Data intake is an ongoing process, so the filtering and analysis process works best when it is continuous. However, most organizations struggle with this aspect and instead process data in batches. Streaming analytics, also known as event stream processing, solves this issue by employing methods such as continuous queries to process and analyze data in real time. […]
The Role of Decision Science in Shaping Business Analytics
The field of decision science focuses on making data-informed decisions. Decision science helps to analyze the impact of a decision on the business. The best decisions are often made with a combination of data and precise business questions. The more precise the questions, the more precise the data requirements will be. Harvard’s Center for Health […]
ADV Webinar: Organizational Change Management for Data- and Analytics-Driven Projects
To view just the slides from this presentation, click HERE>> About the Webinar The disparity between expecting change and managing it – the “change gap” – is growing at an unprecedented pace. Information management professionals and business leaders must concern themselves with the organization’s acceptance of these efforts. To be successful in achieving the larger […]
ADV Slides: Organizational Change Management for Data- and Analytics-Driven Projects
Organizational Change Management for Data- and Analytics-Driven Projects from DATAVERSITY To view the on-demand recording from this presentation, click HERE>> About the Webinar The disparity between expecting change and managing it – the “change gap” – is growing at an unprecedented pace. Information management professionals and business leaders must concern themselves with the organization’s acceptance of […]
Five Types of Advanced Analytics Challenges
Many data scientists and analytics consultants complain they were hired to be a part of advanced analytics teams at corporations, but all they do is data analysis or reporting work. The bigger problem here is that the personnel leading these teams genuinely believe their problem statements are advanced in nature. And rightly so – as […]
Innovations in Deep Analytics Are Critical to the Future of Supply Chains
Digital transformation accelerated very quickly during the global pandemic, leading to 10 years of innovation in just three months. The abrupt changes came mere weeks after the rules of the California Consumer Privacy Act (CCPA) went into effect and just a few months before they were enforced. As the risk of new fines piled up – at […]
Key Trends in Data and Analytics
In today’s world of unprecedented connectivity and advances in technology, the benefits of big data are accessible to even modestly scaled businesses. Indeed, business leaders who resist the shift to digital transformation do so at their own risk. But harnessing the power of data and analytics requires careful planning, preparation, and commitment. Where to begin? […]
Is Your Business Ready for Data Science?
As data science and AI technologies become more integrated into everyday business processes, more and more companies are seeing their tremendous benefits. But there are challenges with successfully deploying AI in a manner that drives measurable business outcomes. I wanted to share with you some of the best ways to address those challenges and help […]
Data Analytics Tools: Features and Functions
Today’s business environment is inherently data-driven. Businesses need data to stay competitive and grow their market presence – data is regarded as the “currency” of the modern world and the key to the future. Data analytics, in turn, is the process of discovering trends and patterns in large amounts of data to make intelligent decisions. It […]
The Impact of Predictive Analytics on the Global Food System
With over 12,000 years of experience in agriculture, humans have learned quite a bit about the many aspects of agriculture. From plant domestication to farming, agriculture has grown to be the backbone of the world – providing food, fuel, feed, and fiber. What was once dominated by ox and plows now relies on technologically driven tractors. Decisions […]