The Practical Reality: Insights Cannot Wait for Perfect Data
Bridging the Gap: How SingleView Delivers Results in the Real World of Financial Data
Perfect data in financial services remains an elusive goal. Many institutions pursue it relentlessly, yet complete data perfection perpetually remains just beyond reach. For decades, the conventional wisdom has held that clean data quality is a necessary prerequisite for extracting meaningful value. SingleView challenges this assumption with a pragmatic approach that delivers remarkable results.
The Practical Reality: Insights Cannot Wait for Perfect Data
Financial executives frequently find themselves in a challenging position. They require better insights to make informed decisions, yet traditional approaches suggest these insights must await completed data cleaning initiatives – projects that seem perpetually ongoing.
“We recognised that financial institutions cannot afford to suspend operations while perfecting their data,” explains Peter Griffiths, our founder and CEO. “These organisations require solutions that function effectively within the complex data environments they currently manage.”
This perspective doesn’t diminish the importance of data quality. Rather, SingleView offers a more pragmatic approach: delivering exceptional value from existing data assets while supporting ongoing quality improvement initiatives.
How SingleView Actually Works in the Trenches: SingleView's Technical Differentiation
When demonstrating SingleView to new clients, the platform’s capabilities often challenge preconceptions about what’s possible with imperfect data, and there’s often a moment of disbelief. Here’s what makes it different:
- Advanced pattern recognition; it embraces the mess: Our proprietary “data splicing” techniques operate effectively without requiring extensive preliminary data cleansing. They dive into the chaos and find patterns that might otherwise remain obscured.
- It delivers numbers you can trust: Despite working with imperfect data, we consistently achieve 97.5% matching accuracy across millions of records. That’s not theoretical—it’s been proven in the most demanding real-world situations.
- Governance enhancement: Each time SingleView runs, it creates a detailed map of your data inconsistencies. Many clients tell us this visibility has dramatically accelerated their governance initiatives.
SingleView functions not as a replacement for robust governance but as a complementary tool that delivers immediate value while supporting longer-term data maturity objectives. It is your most valuable ally in the journey toward better data.
The Ultimate Stress Test: Panama Papers
The Panama Papers situation provides perhaps the most compelling demonstration of SingleView’s capabilities. This unprecedented data challenge involved millions of documents in diverse formats with substantial inconsistencies in information quality and structure.
Financial institutions faced immense pressure – they had weeks, not years, to figure out their exposure. Those using traditional approaches were still cleaning data while their competitors were already acting on insights.
With SingleView, our clients achieved remarkable results:
- Certification of 1.5 million accounts across 250,000 entities
- 97.5% matching accuracy despite extraordinarily challenging data quality
- Identification of complex relationship networks that would have evaded manual review
- Completion within six weeks of analyses that conventional methods would require years to produce
This wasn’t a theoretical proof of concept – it was a battle-tested solution performing under extraordinary pressure, reconciling the imperative for accurate insights with the reality of highly imperfect data.
For decades, we've been told that perfect data must precede valuable insights. But what if this approach is fundamentally backwards?
A More Effective Methodology
We advocate not for abandoning data quality initiatives, but for adopting a more practical methodology:
- Advanced Data Pattern Recognition: SingleView utilises sophisticated algorithms to recognise patterns within seemingly inconsistent data. Our pattern recognition technology finds signals in noise that conventional approaches miss. It consolidates addresses that look completely different to the human eye but actually represent the same location.
- Sophisticated Matching: By generating multiple sophisticated key sets across name, address, and other identifiers, SingleView maximises matching accuracy even in scenarios where data quality is still evolving—providing a practical bridge between current reality and future ideals. In other words, it gets smarter over time. SingleView doesn’t just match records—it learns from every match it makes. The more you use it, the better it gets at understanding the peculiarities of your data.
- Support your governance journey: Every matching operation creates a detailed map of inconsistencies. Clients tell us these insights have become invaluable roadmaps for their data quality teams.
- Deliver value at every stage: Unlike approaches that promise returns only after perfect data is achieved, SingleView creates immediate business value that grows as your data improves.
Measurable Transformation While Supporting Data Truth
The proof of SingleView’s balanced approach lies in its ability to deliver transformative outcomes while supporting the journey toward data quality:
- A global bank we work with found $43 million in overlooked cross-selling opportunities hiding in plain sight. Their data hadn’t changed – they just finally had the tools to see through the noise.
- A wealth management firm cut their client onboarding time by 40% while simultaneously reducing compliance risks. They didn’t have to choose between speed and safety.
- A transaction banking team discovered they were spending more time reconciling data than analysing it. SingleView cut their reconciliation time from weeks to hours, freeing their analysts to do actual analysis.
These aren’t hypothetical benefits or pilot projects – they’re documented results from full-scale implementations.
Why This Matters Beyond the Tech
When we talk to financial executives, their eyes glaze over when we dive into technical details. What keeps them up at night isn’t data quality for its own sake – it’s the business problems that poor data causes:
- Revenue leakage from unknown client relationships
- Compliance risks from incomplete client visibility
- Operational inefficiencies from redundant processes
- Client frustration from fragmented experiences
SingleView tackles these business problems directly, without forcing you to solve all your data challenges first.
While some platforms like Trillium focus exclusively on data quality and others like Quantexa on contextual intelligence, SingleView delivers a sophisticated integration of both approaches:
- Data accuracy that acknowledges and works within real-world constraints
- Actionable insights that support both immediate decisions and longer-term governance
- Implementation that enhances rather than disrupts existing data initiatives
- Architecture that grows more valuable as data quality improves
This complementary approach creates a virtuous cycle: better insights driving better governance, which in turn enables even more sophisticated insights.
The Expertise Behind the Evolution
SingleView’s balanced approach emerges from a unique combination of data science expertise and financial domain knowledge.
“We’ve sat through the painful meetings where technical teams explain why they need another year to clean the data before they can deliver insights. We’ve felt the frustration of knowing there’s value in your client information but being unable to extract it.”
This real-world experience informed every aspect of SingleView’s design. We built it to work in the environments we know exist, not the perfect data environments vendors imagine.
This multifaceted expertise enables SingleView to navigate the tension between data ideals and business realities – delivering solutions that respect established principles while acknowledging practical constraints.
SingleView doesn’t force financial institutions to choose between ideal data governance and practical business outcomes – it enables both simultaneously, transforming the data quality journey from a barrier to an accelerator of business value.
Stop Waiting for Perfect Data - Start Delivering Real Results Today
SingleView bridges the gap between imperfect data and real-world results, right now. The future of financial intelligence isn’t about perfect data - it’s about perfect insight. Achieve business success by consulting our Data experts!
