Challenger banks shouldn’t stand a chance. Incumbent banks have tens of millions of customer relationships, decades of risk-management experience, and petabytes of data.
Yet incumbent banks struggle to adapt to rising customer expectations quickly enough. This has encouraged well-funded, design-led, new market entrants to pose serious competitive threats. Incumbents struggle with rapid change because of the legacy systems, silos, and data volumes that exceed human capacity to analyze them.
In pursuit of disruptive innovations, banks have embarked on digital transformation programs and big data projects. But the low odds for success for these initiatives make them dangerous. Seventy percent of digital transformations fail, according to McKinsey. And 60% of big data projects fail, according to Gartner. These are investments with high risks and mostly uncertain return.
Watch this webinar, to learn about a new approach. You will learn how to:
• Leverage legacy systems and understand data across systems and silos
• Turn inhuman amounts of data into information for human decision-makers
• Reduce the cognitive burden on employees so they can use their unique skills
• Increase revenue and cost productivity while reducing risk
• Scale solutions with natural language processing and machine learning
Featuring:
John Finneran
Senior Product Marketing Manager, Financial Services
Sinequa
Finneran is the Senior Product Marketing Manager, Financial Services at Sinequa. He is responsible for go-to-market strategy and designing industry-specific use cases and solutions. Sinequa helps financial institutions become information driven. The platform extracts real-time relevant information and insights from large amounts of data across all formats. R
