Industries We Serve

Government

From stopping UI Fraud and overpayments to DOT asset management – CATCH Intelligence knows how to work with government agencies and deliver mission-critical results. Government data sets are large and complex and offer a huge opportunity to gain valuable insights through data analytics. Turning that data into information and using that information to manage government operations and constituent services intelligently is a considerable challenge. The Government Performance Results Act Modernization Act of 2010 (GPRA 2.0) states that federal agencies and departments must use analytics to tie their strategic goals to actual data and link their performance goals to their strategic plan with clear milestones. Also, agencies and departments must provide performance results more frequently (quarterly, weekly, or even daily) rather than annually. Analytics can help federal agencies and security departments save millions of dollars in costs while improving efficiency by 10-15% and reducing process times by as much as 80%.

Transportation

Logistics and transportation companies deal with loads of data daily and face tremendous pressure in the form of government regulations, environmental constraints, security compliances, and many other regulatory policies. While managing these regulations, companies must ensure competitiveness while maintaining operational excellence. The interplay of infrastructure, technology, and regulatory policies has changed the game for many industry players as logistics companies have become vulnerable to economic flux. Competition, volatile world economy, fuel price instability, massive data and information maintenance, and pressure of cost-effectiveness adds to the complexity.

Healthcare

Healthcare is complex and rapidly changing. Providers face rising costs, long revenue cycles, bad debt, and charity write-offs. The public demands transparency, security, and accountability. Capabilities are needed to quickly integrate and analyze business intelligence data across healthcare and hospital systems.

Financial Services and Insurance

Banks and financial institutions compile vast amounts of business and customer data into large electronic repositories.

• Customer relationship management – transform a product-oriented business model to customer-centric with data mining to find hidden patterns, trends, and correlations. Discover future demand, identify and retain profitable customers, filter out those who are not, and profile customers based on their needs.
• Manage risks – mitigate risk by analyzing borrowers’ past dealings and transactions to help predict future behavior statistically, highlight opportunities for diversification, or lower exposure to a particular borrower, industry, or sector. Study past data to help handle asset-liability management. Decrease operational risk that occurs commonly out of human error or fraud.
• Regulatory compliance – Analyze all relevant data submitted to regulatory authorities and organize and present the data in required formats.
• Operations Management – Analyze employee and branch information across multiple sources to increase productivity and set performance goals. Identify processes that can be streamlined and where costs can be cut. Enhance performance and shareholder value with timely reporting and monitoring systems that help develop the most optimal and realistic budgets and strategic plans.

Utilities

All companies competing in oil, gas, power, and water need a timely flow of real-time intelligence to optimize resources, execute processes, and pursue opportunities. The unique challenge facing utilities is that exponentially more data from more advanced sources is dispersed to many more functional areas. This extreme shift from being energy-focused to a data-driven industry often causes misalignment between departments and a wide variance in approach to data management and analytics.