Data Visualization for Financial Services

February 13, 2019

Data visualization is entering a new era. While the premise of visualization remains the same – to generate actionable insight from complex datasets – the everincreasing volume of data available and technological advancements are changing the way financial institutions approach visualization.

Spotlight

RetailNext

RetailNext is the worldwide market leader and expert in retail analytics for brick-and-mortar retail, delivering real-time analytics that enable retailers and manufacturers to collect, analyze, and visualize in-store data. The patent-pending solution uses best-in-class video analytics, Wi-Fi detection, on-shelf sensors, and data from point-of-sale systems and other sources to automatically inform retailers about how people engage with their stores. The highly scalable RetailNext platform easily integrates with promotional calendars, staffing systems, and even weather services to analyze how internal and external factors impact customer shopping patterns – providing retailers the ability to identify opportunities for growth, execute changes, and measure success.

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Data is an extremely valuable asset in today’s world. After all, there are entire industries based on it. Because of this, it’s important to evangelize the value of data within your organization.

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In today’s world, data is king and has become a major source of competitive differentiation for businesses across all industries. The COVID-19 pandemic has further accelerated the use and importance of data as the world’s governments and businesses adapted.

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There are two reasons financial institutions are learning as much about their customers as possible by gathering—and processing—as much data as they can. Firstly, this information is invaluable for delivering more personalized products and services to increase revenues while making smarter decisions and improving operational efficiency. Better customer understanding can improve things like underwriting accuracy, for example, and many others.

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SQL to NoSQL: Architecture Differences and Considerations for Migration

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Since their invention in 1970 by Edgar Codd, relational databases have served as the default data store for almost every IT organization, large or small. Today, the most iconic and familiar relational databases include IBM DB2, Oracle Database, Microsoft SQL Server, PostgreSQL, and MySQL.

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Vida for Retail: Rebooting Retail withthe Power of Data Analytics

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There used to be a time when purchase decisions were based on recommendations of the neighborhood grocery manager. Today, these purchase decisions are driven by technology, bringing together the collective wisdom of consumers of the same product from across the world.

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The Lock and Key of Data Literacy and Data Governance

whitePaper | November 24, 2022

Without a data-literate team, your company doesn’t have a chance of becoming data-driven. “Speaking data” is one of the biggest skills in the coming years as more technical skills (think SQL or R programming) become embedded in the tools themselves, demonstrating what we’ve always known — that tools will only take you so far. Your real resource is people.

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Spotlight

RetailNext

RetailNext is the worldwide market leader and expert in retail analytics for brick-and-mortar retail, delivering real-time analytics that enable retailers and manufacturers to collect, analyze, and visualize in-store data. The patent-pending solution uses best-in-class video analytics, Wi-Fi detection, on-shelf sensors, and data from point-of-sale systems and other sources to automatically inform retailers about how people engage with their stores. The highly scalable RetailNext platform easily integrates with promotional calendars, staffing systems, and even weather services to analyze how internal and external factors impact customer shopping patterns – providing retailers the ability to identify opportunities for growth, execute changes, and measure success.

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