Financial Services

Data Management

Understand, Interpret, and Leverage Data and IT for Competitive Advantage

Data can be a source of significant competitive advantage. You need to support business activities and decision-making in a fashion that is timely, relevant, verifiable, and personalized to meet a variety of stakeholder requirements. However, it’s easy to become overwhelmed by the volume and complexity of unstructured data, let alone understand and interpret it.

Front offices are increasingly pressured for real-time business analytics, customer insights, and centralized customer preference profiles. The ever-expanding volume of data available, coupled with IT’s diminishing control, makes it harder to ensure the consistency and effectiveness of available information.

Information management groups are increasingly challenged to use networks, risk-management systems, and business analytics tools to answer a variety of questions. You need  accepted practices for information management including data ownership, data architecture, sourcing, modeling, validation, cleansing, access, distribution practices, retention, and archival policies.

We’ve witnessed significant demand and focus on these areas in financial services: 

  • Self-service analytics: Giving customers access to analytics tools
  • Pervasive analytics: Publishing reports to help embed predictive analytics into all business processes
  • Social analytics: Utilizing social decision-making combined with analytics
  • Scalable analytics: Creating tools to help users interpret Big Data
  • Cloud analytics: Providing SaaS-based data warehousing
  • Real-time analytics: Providing self-explanatory, business-oriented analytics

Our services enable business analytics that support tactical data initiatives and enable long-term planning and strategic thinking. We help optimize customer insight at the point of interaction while also providing information to help improve the effectiveness of your operations. These solutions include:

  • Customer insight and information
  • Business intelligence and reporting
  • Profitability analysis
  • Product pricing
  • Risk management
  • Regulatory compliance requirements