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Business Analytics: Insights from Financial Services

The global economy is still precarious, and financial institutions are buffeted from all sides. Data volumes are growing at exponential rates, and consumers demand more choice than ever. What’s more, new regulatory bodies and changes in market structures make it more complicated – and more essential -- for financial services companies to capture and make sense of their data to enhance proactive decision-making and deliver new value to customers.

Deloitte Analytics helps financial services companies gain in-depth, crucial insights that help solve mission-critical business issues, reduce risk, and drive growth. By applying analytics, companies in the banking and securities, insurance and investment management sectors can leverage their data to build more robust, proactive, and stronger businesses.

Banking

  Our Take: Banking fraud
What if you could head off fraud before it even happens? Advanced analytics helps bankers detect, in real time, transactions that may maybe suspicious – with more accuracy than ever before. And it doesn’t take a huge investment to get started. Here’s our take.
  Our Take: Regulatory risk in banking
Developing analytic capabilities is smart business – and for many banks, it’s increasingly required to address regulatory issues.  A basic analytic foundation can help position bank leaders to make better business decisions that may increase profitability and reduce risk. Here’s our take.
  The three-minute guide to banking analytics
Rebooting and refocusing your bank’s analytics capabilities can seem daunting, but it doesn’t have to be that way. Identify where data and analytics can have the greatest impact.
  Fraud trends and steps in the fight
Deloitte Transactions and Business Analytics LLP’s Prakash Santhana talks to Bank of America about fraud prevention and industry trends in this installment of BOA’s Fraud video series. Watch the video to learn more.
  Enhancing deposit profitability
Advanced analytics can help deposit businesses better understand what drives their margins and customer satisfaction and develop an integrated strategy for improving profitability.
  Tipping the triangle
By applying analytics to financial data within a proactive framework, fraud can be prevented, detected and mitigated to better manage financial risk.
  Suspicious activity reports and analytics
Read why financial institutions should use analytics to improve anti-money laundering systems, which can result in more efficient, effective and insightful operations.
  More banking analytics insights
Read more content on Banking Analytics.

Insurance

  Overcoming speed bumps on the road to telematics
This report provides data and analysis that may help guide carriers that have already started on the road to telematics, along with those poised to join in, as well as others that will have to compete with telematics-driven players.
  Our Take: Driving insurance
Driving innovation in the insurance industry. Here is our take.
  The three-minute guide to analytics for insurers
Predictive analytics is at the forefront of nearly every insurance company’s business strategy. Today’s arsenal of available relevant data offers new insights into what may happen in the future.
  Analytics accelerator for insurance
A targeted package of business intelligence tools, data models, and advanced capabilities focused specifically on the data challenges faced by insurers.
  More insurance analytics insights
Read more content on Insurance Analytics.

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