Enable Citizen Data Scientists with Predictive Analytics and BI
When a business recognizes the need for analytics and fact-based decision-making, it must choose the best BI tools and analytics to meet its requirements. While it is important to carefully consider the technology landscape, the integration needs and reporting requirements, one of the most important factors in choosing an advanced analytics solution is the foundation for data democratization and data literacy.
Today’s competitive business landscape makes it more important than ever to ensure that your enterprise can optimize productivity and team knowledge. The business must leverage BI tools to provide up-to-date, clear information to its team members so that they can collaborate, share data and make the best decisions. Analytics and predictive modeling tools also support the presentation of data in a way that is meaningful to the target audience and to those who are considering the data to capitalize on opportunities, solve problems and explain recommendations.
‘If you wish to encourage and enable Citizen Data Scientists, you must select a predictive analytics solution that can produce meaningful results to suit the role of the team member, and one that will satisfy the technical needs of an average user.’
According to Data Stack Hub, ‘Organizations that adopt data-drive decision-making are 5x more likely to make faster decisions,’ and ‘Approximately 73% of organizations say data analytics is a top priority in their digital transformation efforts.’
As businesses search for ways to plan, forecast and predict outcomes, the addition of predictive modeling as a tool for team members can enable and encourage user adoption of augmented analytics tools. Concise, clear and dependable predictions can help the team to plan accurately and to gain insight into how pricing changes, new products, and changes in customer communication will affect sales, customer retention, etc.
When a team member adopts tools that help them to more easily and effectively complete tasks and share information, the team is more likely to embrace analytics and the organization can achieve digital transformation goals and transition team members into a Citizen Data Scientist role, thereby allowing business analysts and data scientists to focus on more strategic activities and ensuring that the team is producing fact-based information and making decisions that are based on data rather than on opinion or guesswork.
‘Concise, clear and dependable predictions can help the team to plan accurately and to gain insight into how pricing changes, new products, and changes in customer communication will affect sales, customer retention, etc.’
Ease-of-use and a clear understanding of results is paramount to successful user adoption of any software, but when it comes to predictive modeling and augmented analytics it is even more important. If you wish to encourage and enable Citizen Data Scientists, you must select a predictive analytics solution that can produce meaningful results to suit the role of the team member, and one that will satisfy the technical needs of an average user. By providing tools that help them do their jobs more efficiently, more quickly and with better results, you are much more likely to create an environment where Citizen Data Scientists can thrive.
Contact Us to discuss the unique needs of your organization and your users and find out more about our Predictive Analytics, Augmented Analytics Solution and services, enabling Citizen Data Scientists, and the use of Smarten Technology. Explore our free white paper, ‘Roadmap To ROI And User Adoption Of Augmented Analytics And BI.’
