Data and Analytics Services

Turn your data into a competitive advantage

Data is the lifeblood of the digital era. The data volume created and consumed continues to grow at a rapid pace with no signs of slowing. But how do you protect, access, and leverage it for meaningful business insights?

Our enterprise data and analytics services help companies not only manage the data, but also break down data silos to identify untapped opportunities and expose hidden risks. The end result — a competitive advantage that enables clients to make intelligent business decisions that drive performance and growth while managing risks.

Protect, access and leverage your data for business growth

The value we bring

Through our team of domain experts, ecosystem partners, and flexible delivery options, we help turn your data into a corporate asset. Our comprehensive data and analytics capabilities enable the necessary people, process, and technology transformation to become an insights-driven organization. 

  • Modern collaboration and ways of working capabilities
  • Industry-specific data and analytics thought leadership
  • Innovation and revenue optimization (e.g., self-funding data and analytics programs)
  • Emerging data and analytics capabilities
  • Data monetization strategies
  • Data visualization and storytelling
  • Advanced analytics (e.g., artificial intelligence, machine learning)
  • Digital transformation support
  • Data and analytics operating model design and staffing
  •  Flexible staffing and right-to-hire options (e.g., cost optimization)
  •  Legacy architecture and application modernization (e.g., data mesh, data fabric)
  • Enabling effective data privacy (e.g., GDPR, CCPA, CPRA) and customer trust
  • Compliance mitigation (e.g., FTC, SEC, Federal Reserve, etc.)

Leadership

Enterprise Data and Analytics partners

The power of partnership is undeniable. Our alliance partnerships and full-service technology consulting capabilities bring many support benefits to our clients, including better efficiency and performance. Some of our key partners include:

Featured insights

Featured client stories

Insight Section Listing

The Potential of Machine Learning (ML) to deliver value to banks has created something of a gold rush in adopting this methodology for banking applications. ML can produce immense benefits when applied to complex nonlinear problems where there is a large amount of data, particularly unstructured data. Use cases for incorporating machine learning in banking include asset management, fraud detection, credit risk…
Cybersecurity, Privacy, Data and Resilience Dominate the Top Technology Challenges for Energy and Utilities Organizations.
Several Key Policies Take Effect March 31, 2022On March 29, 2021, the Bank of England (BoE), the Prudential Regulation Authority (PRA) and the Financial Conduct Authority (FCA) issued a series of policy statements to both refine and finalize their approach to operational resilience for financial services firms. Almost concurrent with the release of the policy statements, the Basel Committee on Banking Supervision (…
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