Few businesses realize that their data is one of their most valuable assets. Unfortunately, even those that do realize this may not be capable of leveraging their data into valuable intelligence or actionable insights. Let our data science team take a look.
The first thing you have to do with data is get analytics and dashboards so that your users can gain insights into patterns in the data. Good dashboards and analytics, like rolling averages, lead to good questions and a strong foundation for data analysis.
Predictive analytics is a form of advanced analytics in which past and current data are used to identify trends and predict future events. Numerous methods can be used to perform predictive analytics, including machine learning, data mining, and predictive modeling.
Big data refers to a large amount of data of varying types that are being received at a fast rate. Big data is too large and complex for traditional data-processing software and requires specialized big data analytics tools in order to analyze and extract information.
Data comes from a variety of sources, which is why organizations need a data warehouse in which to collect and store all of their data, whether it’s structured, semi-structured, or unstructured. We will help determine what type of data warehouse is needed and make sure that it’s properly integrated for fast and accurate data collection.
Businesses looking for more comprehensive data analytics are turning to AI and machine learning. Basic forms of AI have been used in a variety of ways. Machine learning is being implemented more often as a way to comb through data and recognize historical patterns and trends that can be used to predict future outcomes.