Can business analysts effectively use predictive analytics? Adoption of predictive analytics and other advanced analytics has increased for a number of reasons, including a better understanding of the value of the technology and the availability of computing power. Economic factors are also a driving force in utilizing predictive analytics for business as companies strive to remain competitive. Companies want to better understand customer behavior. They want to better predict failures in their infrastructure. The uses for predictive analytics are extensive and growing.
A current trend in predictive and advanced analytics is improving ease of use so that analysts supporting functions such as sales, marketing, and finance can use more sophisticated software. The argument is that these analysts know their data and they know their business. They may have been using tools such as spreadsheets, but now want to be more productive. Vendors are trying to make their software more user friendly by improving the interface and automating some model-building capabilities. This often includes tools for making data integration easier.
Do you need to be a data scientist or statistician to perform predictive analytics? This Webinar will provide an overview of predictive and other advanced analytics, trends in predictive analytics, and what it all means for the business analyst.
You will learn:
Individual, Student, & Team memberships available.