When it comes to technology, there is a never-ending amount of data that is being created for businesses, and for the individual user. Data is the information that is being processed, secured and/or stored in a computer’s memory, and this information comes in the form of documents, software programs, applications, images and audio clips, and much more.

But how is that data being used? Data’s potential value is unlocked only when leveraged to drive decision making. GBQ can analyze your “big data;” i.e. extremely large volumes of data which can reveal patterns, trends, and associations, using our data analytics tools. This tool allows us to provide a quick, cost-effective and—most importantly—reliable analysis of how you and/or your business uses and stores information, and how that information may be leveraged for your benefit.

Using your data effectively can provide increased proficiency.  In today’s ever-changing technology environment, data analytics has become a necessary cornerstone for financial business success. This specific type of analysis can improve your internal operations, as well as enabling your employees to make smarter business decisions in order to achieve stronger outcomes and improved products and services. We can help your businesses to develop a strategy for data analytics and a plan of how to collect, use and protect your information.

Next up? SUCCESS.  While conducting data analysis is about gathering, reviewing and assessing, it can also be an opportunity to—as we like to say—think forward. It can be about setting up new ways of going about your business and exploring and discovering new data trends that will ultimately benefit your business and your future.

Let GBQ unlock the true value of your data:

  • Fraud prevention and detection
  • Operational efficiencies and cost/resource management
  • Data management in litigation – damages, class action matters, litigation prevention to assess bias
  • Data visualization and multi-point data aggregation
  • Data consolidation – bringing many data sets into a single environment
  • Using process automation technology to reduce, remove and reengineer repetitive tasks to improve productivity (RPA)
  • Real-time budgeting, planning, forecasting models
  • Enhanced financial compliance and reporting