TL;DR: Analytics and applications are everywhere. We all live and function in a hyperconnected environment — something that isn’t limited to consumers.
Companies are also taking advantage of the capabilities of continuous analytics, developing modern applications for today’s users. Modern applications are those that:
Even more, these applications provide context on analytics that you can interact with and drill down on. But these insights aren’t realized on their own — they’re the outcome of a data infrastructure designed to handle the demands of real-time applications and analytics.
In partnership with Dresner Advisory Services, our webinar, “Deriving Real-Time Business Value from Your Data,” dives deeper into real-world scenarios for global organizations that leverage both SingleStoreDB Cloud and Dresner’s Hyper-Decisive Maturity Model (HDMM) to make the best possible business decisions using their real-time data.
Data Infrastructure Complexity Increases Organizational Challenges
“The infrastructure underneath these kinds of apps is growing to be fairly complex,” says Domenic Ravita, VP of Product Marketing & Developer Relations at SingleStore. “The data sources are being ingested from many new sources like IoT devices, web logs and transactional databases.”
Additionally, data is ingested through various sources and different types of transactional, SQL and noSQL data stores. And as organizations continue to stitch databases together, the complexities associated with this approach only increase. The ensuing results are often around slow applications, poor customer experiences, a lack of fresh data, the inability to scale and too much data movement.
Solving for Application Data Fragmentation
“It all starts with applications, and we’ve been at this for 40 or 50 years…” says Michael Moran, Research Director at Dresner Advisory Services. “For many organizations, particularly those of a certain age and size, it started with ERP.” As Moran goes on to explain, additional business requirements gave rise to additional applications — leading to more data fragmentation.
The good news? There is a way for organizations to undo the complexity and siloes.
“To work toward data centricity, which is increasingly going to drive differentiated performance, you need to take a different approach,” says Moran. “And that’s to pivot from an application-centric approach to a data-centric approach.”
The foundation of this tactic is straightforward: understand what your business requirements are in terms of your business value chain, and then identify the data requirements — and the architecture necessary to adequately support those requirements.
By taking a more holistic approach and recognizing what’s needed for the foundation of your tech stack, you’re able to gain a more comprehensive view and glean better, real-time insights from your data.
Watch “Deriving Real-Time Business Value From Your Data” On Demand
Want to learn more about how SingleStoreDB and Dresner Advisory Services empower their customers to make the most of their data? Watch the full webinar on demand today.