Data is the fuel of modern engineering. Yet many organizations still struggle with silos, outdated files, and fragmented systems that slow down progress and innovation. In this guide, we explore how to streamline engineering data management—from strategy and governance to tools and cloud infrastructure. Whether you're dealing with massive CAD files or real-time IoT streams, this article shows you how to get your data under control and working for you.

Discover how a leading financial services firm leveraged advanced AI-driven proposals and an innovative Smart Wallet application to accelerate client acquisition, enhance stakeholder satisfaction, and secure a distinctive competitive edge.

Leon Ginsburg, CEO at Sphere, shares his perspective on how 2025 will be a defining year for digital transformation. From bridging talent gaps to leveraging AI-driven solutions, Ginsburg highlights the critical factors shaping success, the risks of falling behind, and why ROI-driven tech investments will set leaders apart from laggards.

A specialized healthcare organization transformed its data governance and compliance with Sphere's team. By building a secure Azure-based infrastructure, automating compliance workflows, and deploying real-time analytics, the organization achieved full regulatory compliance, improved data accuracy, and enhanced operational efficiency.

Sphere's leadership, Leon Ginsburg and Mario Schwarts, will be at the Data+AI Summit 2024 to gather insights and share their expertise on the evolving landscape of data and AI. From platform health checks to advanced data engineering strategies, their mission is to enhance Sphere's offerings and drive digital transformation for clients.

“GenAI is revolutionizing the world,” “GenAI is transforming the industry,” “GenAI is changing the landscape.” These statements are

A major bank faced talent acquisition and retention challenges. By leveraging AWS-based HR analytics, they achieved a 12% reduction in turnover, streamlined hiring processes, and improved workforce planning, leading to significant cost savings.

To create a strong, well-supported data governance strategy, you need to secure internal buy-in across the organization. Data governance also allows companies to make the most of the data they hold.

An understanding of data maturity can guide a company's transformation from being clueless about data to taking advantage of its full potential. In this post we compare different approaches to data maturity.