By 2020, data volume will reach 44 trillion gigabytes worldwide.

In today’s world knowledge is power in business! Data is growing at unprecedented rates and knowing how to use that data in business can be extremely valuable.

Data Scientists use scientific methods, algorithms, and advanced learning systems to leverage data and use the information gathered to make decisions and develop best practices for private business and government agencies.

Resilient Point has the real world experience to help you develop your data into dependable and useful metrics to help your business make the most informed decisions possible.

Resilient Point’s Team can help provide these services and more to your business or agency today!

• Artificial Intelligence/Machine Learning

• Computational Sciences

• Program Management

• Technical advising

• Big Data & Analytics

• Research and Development

• National Security

• Data Science Education

  Use data science to make evidence based decisions! Data Science can add value to your business or agency. Take these four areas as examples.

  1. Better decision making with quantifiable evidence

  • With nearly 80% of all data “unstructured” businesses need analytical tools to help organize data into useful numbers and statistics. Over time your company can use these performance metrics to identify and make informed decisions on reoccurring trends.

  2. Improving the relevance of your product

  • Use data science to gather comparison information on competitors, market analysis, and ultimately know when your products or services will sell the best, helping to refine business processes.

  3. Recruiting the best talent

  • With so many sources of data in our world today, areas like social media, online databases, job recruiting sites, all can be used as data points to make analytical and informed decisions on the best candidate for new jobs.

  4. Training staff

  • Keeping large teams and office staffs up to date and informed is always going to be a challenge. Data science can help populate data bases that employees can reference and learn from in their everyday jobs. Machine learning can identify important areas that may be critical for employees to read immediately, or a common reoccurring trend in a project that may need to be addressed.

 Reference provided by Robin Sinh, “InsideBIGDATA”, August 2018