Welcome to the latest edition of Mind the Gap, a monthly column exploring practical approaches for improving data understanding and data utilization (and whatever else seems interesting enough to share). Last month, we explored analytics architecture stuck in the 1990s. This month, we’ll look at the rise of the data product. It wasn’t so long ago […]
Automating Cloud Infrastructure Provisioning and Management: Analyzing the Role of Automation
In today’s digital era, cloud infrastructure has become the backbone of many organizations, providing the necessary resources to support diverse applications and services. The increasing complexity and scale of cloud environments have necessitated the adoption of automation to manage infrastructure efficiently. This article explores the pivotal role of automation in provisioning and managing cloud infrastructure, […]
AI and Blockchain in CRM: Securing Customer Data with Advanced Technologies
It is crucial to stress the need to protect data in customer relationship management (CRM) systems because data breaches and cyber threats are becoming more sophisticated. The security measures are inadequate now; companies must constantly seek creative ways to address changing threats. One cannot stress how urgently improved security measures are required. Remarkably, blockchain technology […]
How to Regain Trust in Your Data: 5 Ways to Take the Fear Out of Data Management
“May you live in interesting times” is both a curse and a blessing. It’s a curse for those who fear what could go wrong, but it’s a blessing for those who look forward to changes with confidence. The same could be said of leveraging data. To be in that latter group, organizations need to be […]
The Cool Kids Corner: Non-Invasive Data Governance
Hello! I’m Mark Horseman, and welcome to The Cool Kids Corner. This is my monthly check-in to share with you the people and ideas I encounter as a data evangelist with DATAVERSITY. This month we’re talking about Non-Invasive Data Governance (NIDG). If I haven’t already given it away, our featured Cool Kid is none other […]
What Is PMML and Why Is It Important?
You may not be an analytics expert and you may find terms like PMML integration somewhat daunting. But, in reality, the concept is not complex, and the value is outstanding. So, what is PMML integration? PMML stands for “predictive model markup language.” It is an interchange format that provides a method by which analytical applications and […]
Enhancing the Reliability of Predictive Analytics Models
Predictive analytics is a branch of analytics that identifies the likelihood of future outcomes based on historical data. The goal is to provide the best assessment of what will happen in the future. Basically, predictive analytics answers the question “What will happen?” The value of predictive analytics lies in enabling business enterprises to proactively anticipate […]
Building a Modern Data Platform with Data Fabric Architecture
In today’s data-driven landscape, organizations face the challenge of integrating diverse data sources efficiently. Whether due to mergers and acquisitions (M&A) or the need for advanced insights, a robust data platform with streamlined data operations are essential. Shift in Mindset Data fabric is a design concept for integrating and managing data. Through flexible, reusable, augmented, and […]
The Future of Insurance: A Business Analyst’s Insight into Emerging Trends and Technologies
The insurance industry is undergoing a revolution, mainly driven by the application of advanced emerging technologies. The application and installation of new technologies enable a better future for our industry, where customers will receive maximum efficiency, security, and flexibility. Here, we address the major technologies and trends that influence this transition, shedding light on their […]
Streamlining Your Data Needs for Generative AI
Companies are investing heavily in AI projects as they see huge potential in generative AI. Consultancies have predicted opportunities to reduce costs and improve revenues through deploying generative AI – for example, McKinsey predicts that generative AI could add $2.6 to $4.4 trillion to global productivity. Yet at the same time, AI and analytics projects have historically […]