Between increased consumer demands for personalization, confusing data privacy regulations, changes to third-party cookie policies, and a technology landscape evolving at warp speeds, it can be difficult for MadTech companies to keep up. Developing the right data infrastructure to lay the foundation for your marketing and advertising tech solutions has never been more important.
To help Martech, Adtech and Datatech companies understand the complex requirements of data infrastructure today, we recently launched an in-depth white paper to help Madtech companies assess their unique data infrastructure needs. Titled Managing MadTech Data Complexity: A Data Infrastructure Buyer’s Guide, this comprehensive, 18 page paper covers everything from trends affecting data infrastructure, to vendors in the space to strategic factors to consider before making data infrastructure changes and decisions.
Click here to download the white paper now, or continue reading for a few key takeaways from the paper.
5 Key Takeaways from Managing MadTech Data Complexity: A Data Infrastructure Buyer’s Guide
- Federated data architectures are on the rise because they facilitate real-time access to diverse data sources without centralizing storage, thus promoting collaboration and informed decision-making.
- The data infrastructure landscape encompasses a mix of cloud and on-premises solutions, each with its own set of advantages and considerations. Organizations must weigh factors like data security, scalability, cost, and IT expertise when deciding between these infrastructure options.
- Dismantling data silos is key to enabling personalization and advanced marketing experiences. Data silos not only impede seamless sharing and collaboration but also create inefficiencies in data integration, leading to inaccuracies and inconsistencies.
- A data lakehouse is a new approach to storing and processing data that combines the best elements of both data lakes and warehouses. It offers flexibility and scalability, allowing organizations to store vast amounts of structured, semi-structured, and unstructured data.
- In the midst of rampant fines for non-compliance with data privacy regulations, privacy should be top of mind for MadTech leaders. Prioritizing privacy means investing in robust data protection frameworks, implementing privacy-by-design principles, and regularly reviewing and updating policies and procedures.
Dive Deeper: Download the Free Whitepaper
Ready to learn more about future-ready data infrastructures? Grab our free white paper to discover the pros and cons of various data infrastructure types to drive your business forward. This comprehensive data infrastructure buyers guide covers considerations ranging from trends in data management & activation to privacy concerns and vendor comparison.
