Data analysts help clients ensure their data is working for them in a meaningful way that brings insights to benefit the business. Watch this video to learn about a client project where our data analysts helped support an existing team to accomplish a long-standing business goal.
Based on business needs and objectives, clients obtain plans and processes to deliver high-level business visualizations through their data.
We apply critical thinking to deliver impactful insights into our client’s data and increase their understanding to enable more effective business strategy execution.
We collaborate closely with development teams to transform the data and work with the business for visualization planning. We then master the breadth and depth of internal and external data sources and determine the most effective ways to present insights. Once that understanding is complete, we provide recommendations and data quality improvements.
We then move to build out an environment that might include a data warehouse built on a variety of datasets and data sources, data mining to extract solutions and meaning from that data, and dashboards to present that data back to the business in an effective manner.
We participate in working sessions with the business to understand their data needs. By researching and analyzing available data sources, we can effectively work with developers to determine available platforms and technologies.
Our data analysts create and execute action plans to acquire and transform data for its presentation.
We frequently communicate with our business clients during the agile development of business visualizations. We obtain final validation from our clients before production deployments.
We help businesses get the most out of their data.
Uncover the opportunities where your business can leverage data and artificial intelligence to automate repetitive tasks, gather and organize more data, which will result in better insights and decisions.
SafeNet Consulting’s Data Analysts work with you to assess your data environments to provide recommendations to develop data models via machine learning models that provide past, current, and future state insights into business data that would otherwise be impossible.