Serve customers, recruit prospects, detect fraud and streamline operations...
Financial services firms worldwide are struggling with the challenges of Big Data analytics management - analyzing massive volumes of complex data from many sources in order to better serve and retain customers, find and effectively recruit new prospects, detect and prevent fraud, manage assets and streamline operations.
Banks, mutual funds, and insurance companies need to transform their data into actionable information to comply with government and industry regulations, manage risk, increase revenue in a competitive economy, identify fraud and improve efficiency.
Leveraging Big Data Analytics to Increase Profitability and
Reduce Risk
Financial services companies are taking advantage of Big Data analytics to increase profit margins, reduce risk and solidify relationships with profitable customers. Now more than ever, a powerful, scalable, affordable and simple Business Intelligence (BI) solution for business users is key to helping make the right decisions that drive overall success.
The following Solution Brief highlights the use of Datameer in Financial Services research:
Financial Services Research: Product Usage Analytics
To improve customer retention and engagement, this leading financial research firm uses Datameer to analyze customer product use and deliver product improvements. Read more »
"As a result of using Datameer, nurago is better able to help our clients identify and analyze patterns in behavioral data of panel members. Datameer helps us as a market research vendor to scale for our most granular data requirements and greatly simplifies the integration of multiple sources. In addition, Datameer makes reporting on big data analytics directly accessible to our analysts so that they don't need to turn to developers for their requirements."
Nikolaus Pohle,
CTO of nurago
