Data Analytics


To more effectively meet their operational and analytical business requirements, organizations of all types are becoming data-driven enterprises, leveraging high-performance data analytics to gain greater insight and value. Focus’ professional thought leadership in data analytics can help you uncover insights from new and existing data and content, helping you to become more agile and more responsive.
Focus’ personalized approach to data analytics enables:

  • Smarter decisions – Leverages new sources of data to improve the quality of decision-making.
  • Faster decisions – Supports decisions made at the point of impact through real-time data capture and analysis.
  • Decisions that make a difference – Focuses on results that can provide true differentiation.

At Focus, our goal is to make sure that your IT infrastructure and assets are utilized as efficiently as possible to maximize the return on your investment. Focus’ team of professional thought leaders has deployed data analytics for mid-size to enterprise organizations across the Northeast, and with our premier-level partnerships and proven methodologies for implementing data analytics, we help our customers get maximum value from their data.

Data Analytics Use Cases


Healthcare organizations are using big data to capture all of the information about a patient for a more complete view of care coordination, reimbursement models and patient engagement and outreach. Through the analysis of electronic health records (EHR) and other data sources, healthcare organizations have the opportunity to reduce hospital readmissions and implement far-reaching population health management.


Big data analytics provides great insight to customers’ shopping behavior. With real-time analysis, retailers are delivering targeted, personalized communications that drive higher sales and repeat purchases. By analyzing shoppers’ patterns and social media feedback, retailers are better able to anticipate the purchasing habits of their customers.

Financial Services

Through the analysis of customer service interactions, big data can help banks evaluate their loyalty and rewards programs and more effectively attract new customers and retain existing accounts. Big data analytics also improves enterprise transparency, auditability and executive oversight of risk, and correlating data from multiple sources enables financial institutions to more quickly identify fraudulent activities.