Pariveda’s Post

Modern environments require an architecture that turns data into revenue by improving, packaging, and selling data-driven products and services. However, many organizations are missing the key to unlocking monetization opportunities. Here's what you need to know: https://lnkd.in/dfxkYrY7

Modern environments require an architecture that turns data into revenue by improving, packaging, and selling data-driven products and services. However, many organizations are missing the key to unlocking monetization opportunities. Here's what you need to know: https://lnkd.in/gCgUfC2t

Modern environments require an architecture that turns data into revenue by improving, packaging, and selling data-driven products and services. However, many organizations are missing the key to unlocking monetization opportunities. Here's what you need to know: https://lnkd.in/gRrQ-5Ky

Modern environments require an architecture that turns data into revenue by improving, packaging, and selling data-driven products and services. However, many organizations are missing the key to unlocking monetization opportunities. Here's what you need to know: https://lnkd.in/gkufAU86

Modern environments require an architecture that turns data into revenue by improving, packaging, and selling data-driven products and services. However, many organizations are missing the key to unlocking monetization opportunities. Here's what you need to know: https://lnkd.in/gBt4TCDp

Data architecture, the backbone of digital infrastructure, plays a crucial role in shaping marketing strategies. https://ow.ly/l5Fl50Uu5HT #marketing #martech #technology

✨ Planning to improve your digital architecture in 2025? 💡 Get your complimentary copy of the Gartner® Hype Cycle™ for Manufacturing Operations Strategy, 2024 and learn why HighByte was named a Sample Vendor for Industrial Data Management and Machine Learning. 🔗 https://bit.ly/40be5jE #DataOps #Industry40 #DataManagement #ML #Gartner

What are the 8 dimensions of Modernisation success? And how do we analyse a legacy system? I had the pleasure of interviewing my colleague Griffiths Waite Technical Director Mark Simpson on where we start in legacy modernisation. Below you'll see the 8 dimensions that we begin with when looking at if a legacy system is fit for purpose and where the strengths and weaknesses are. This helps us develop a meaningful roadmap to success. 1: Technology 2: Architecture 3: Data 4: Functionality 5: User Experience 6: Cost 7: Knowledge 8: Agility (Time to Value). Below, we introduce this session and our guide Mark Simpson on where to start in digital transformation. Watch the clip below 👇 https://lnkd.in/eMK4eZx2 Watch here for the long-form full discussion 👇 https://lnkd.in/eWwKARpp #digitaltransformation #legacysystems #gwinsights

Here’s a question for you: Is your marketing team trying to manage data infrastructure on its own? 🚫 Maybe you shouldn’t be. IT is responsible for building and maintaining the company’s data architecture, and they’re the experts at it! 🛠️ With IT managing data strategies across departments, you ensure seamless alignment. When Marketing Ops sit within IT, data becomes better integrated, driving smarter decisions and more cohesive operations across the company.💡 Curious how this works? Check out my latest article for all the details. 🔗 https://lnkd.in/g-KTGj8F #MarTech #MOPs #DigitalMarketing #ITInfrastructure

I am excited to share my latest blog post, "Dismantling ELT: The Case for Graphs Not Silos." In this piece, I explore the limitations of traditional Extract, Load, Transform (ELT) processes and advocate for a shift towards graph-based architectures. By leveraging graphs, organizations can foster better data connectivity and insights, enabling them to break down silos and create a more cohesive data ecosystem. As the data landscape continues to evolve, it is crucial for businesses to adopt innovative approaches that facilitate agility and collaboration. I invite you to read the full post and discover how embracing graphs can transform your data strategy. Read more here: https://ift.tt/huQaZF5