Eliminating Data Silos: Modern Data Architectures for Analytics

Data scientists require on-demand access to data, powerful processing infrastructure, and multiple tools and libraries for development and experimentation. Meanwhile, IT has a difficult time keeping up with these changing needs while ensuring operational efficiency and compliance. Sound familiar? CDSW was designed precisely to r

Today’s data-savvy companies actively seek ways to enhance their approach to analytics and evolve out of the past. While the first wave of BI involved static, rigid, IT-owned systems, and the second expanded the capabilities to a more business-facing analyst set, the third wave aims to infuse analytical activity into multiple layers of non-technical business roles. As a key strategy to enable this third wave, companies today are exploring an embedded approach that places analytical activity directly in the context of everyday user applications, and the independent software vendors (ISVs) and enterprises providing those applications have taken notice of this trend. Done efficiently, embedded analytics promotes faster deployment and pervasive usage of analytics for end-users while delivering a competitive advantage and the opportunity for new revenue streams for software vendors and enterprises.

Organizations across the world are onboarding digital initiatives, especially in the changed world after COVID-19. Learn now you can lead the business growth and modernization with effective Data governance initiatives to drive your digitization efforts. It is uncommon that information in silos due to data spread across different business applications, databases, and repositories across the organization, leading to slower digital initiatives. Learn how effective data governance can help to fast track data quality, master data, policy automation, regulatory and privacy compliance can help reduce costs, time to market, improve customer experience and contribute to business growth.

When evaluating a data catalog, every data engineer wants to know one thing: “What’s in it for me?” In this live demo, Mo Dodge answers that question and highlights several high-value use cases data.world solves for: