As more and more organizations across all sectors use technologies such as data and artificial intelligence (AI) to advance their business objectives, many find that their traditional infrastructure is not up to the task. I’m starting to realize that. Isolated data silos and complex workarounds can cause delays, increased operational costs, and risks to functionality, compliance, and security.
In the face of these challenges, some organizations are moving to hybrid solutions that combine cloud and on-premises environments. However, if you cannot move data seamlessly and quickly between environments, or if compliance or governance requirements require data workloads to remain on your existing infrastructure, these platforms may not be able to solve your problem.
Additionally, security, compliance, and governance settings and regulations may vary and require additional steps to ensure your data is clean, complete, and secure. This can tie up limited IT resources and cause delays. Additionally, these solutions may not be built to handle the amount and complexity of data required for accurate analysis and AI model development.
A more effective approach is a “true hybrid” platform. It’s a platform that connects data workloads across environments so that your organization’s data, and the AI and analytics that feed it, can easily move and operate securely. The result is increased operational efficiency, expanded computing power, and improved performance, unlocking scalability and growth opportunities.
Business environment powered by data
More than one-third of IT leaders responding to a recent survey said data availability and quality is the biggest challenge in enabling AI at scale. More than half of these respondents said governance and compliance are also barriers to achieving end-to-end data management.
A true hybrid supports consistent functionality and security across all environments without manual intervention. With true hybrid capabilities built on a single platform, you can quickly, securely, and reliably manage your analytics and AI data loads, data management, and compute demands across cloud and on-premises environments.
“True hybrid is more than just deploying it across many infrastructures separately; it moves data, analytics, and AI seamlessly between all of them, responding to change and always delivering insights and value in the most optimal way.” ” says Andrew Brust. Industry Analyst at Blue Badge Insights. “To accomplish this, businesses need a scalable and flexible data architecture that can grow with them.”
A true hybrid consists of several key elements.
• Distributed cloud model. In this architecture, cloud services distributed across different datacenters, clouds, or edge computing sites operate as a single platform. This allows you to centrally control operations and updates even if your cloud services are located in different locations.
• Portable and interoperable data services. The platform should allow users to easily move data and workloads between different systems. These systems must be able to seamlessly and automatically communicate and exchange at each stage of the data life cycle, including ingestion, transformation, warehousing, and machine learning.
• Consistent data security, compliance, and governance. A unified, centralized platform allows organizations to apply and enforce one set of policies and access controls across all environments.
These elements bring many benefits. Eliminating the need to manage multiple configurations and systems for security, compliance, and governance streamlines processes, reduces strain on internal resources, reduces IT costs, and reduces risk of manual errors .
This becomes especially important as your business grows. A global consumer finance company is trying to manage more than 200 data warehouses to handle tens of billions of transactions each month, resulting in technical failures, increased expenses, and various local government controls. A data limit has occurred. These obstacles hindered the company’s growth and expansion into new markets.
After shifting its approach to a true hybrid model, the company reduced operational challenges and staff training, reducing operating costs by approximately $200,000 per month. And with fewer barriers to expansion into new international markets, the business has seen revenue growth of nearly 30%.
A true hybrid platform is essential for optimizing existing operations while also driving data-driven decision-making and innovation that are critical to functioning in an increasingly fast-paced global marketplace.
As a provider of advanced analytics, technology, and research services for the life sciences industry, IQVIA needs to quickly analyze data and gain insights. This was a significant challenge for the previous platform, which had data spread across 250 warehouses.
By adopting a true hybrid strategy, the company was able to eliminate long wait times to copy and move data from one siled location to another. Improved performance enables faster analysis of larger datasets, helping IQVIA speed up clinical trials and development, bringing potentially life-changing medicines to market faster and more efficiently Now you can put it in.
True hybrid: The way forward
A true hybrid platform offers benefits that go beyond making your business operations more efficient and cost-effective. A true hybrid approach that solves the challenges of siled data, enhances performance, and supports scalability. A true hybrid approach that solves siled data challenges, enhances performance, and supports scalability. An essential platform approach for organizations looking to optimize their
See how close you are to achieving true hybridization with your existing data and analytics approaches.
