Our Partner is a healthcare service provider in the United States providing a web-based, patient-centric, healthcare management solution and workflow solutions to increase operational efficiency and reduce costs for its hospitals and healthcare facility Clients. Since 1999, the Partner has provided services to the durable medical equipment and supply market with solutions that benefit many healthcare organizations and clinics in the U.S.
The Client is one of the largest Rural Fintech companies in India with more than 700,000 Rural Entrepreneurs and services to benefit 100 million consumers. The Client business is currently growing at 150% year over year with a transformative impact on digital, financial, and e-retail services across rural and semi-urban regions.
Predictive analytics may seem too complex for business users but with advanced technology like machine learning and features like assisted predictive modeling users can dive into the process without the skills of an IT professional or a data scientist. Assisted predictive modeling frees the user by providing system recommendations that will suggest the right analytical technique and achieve the best fit for what the user wants to do, ensuring that they use the most appropriate algorithm for the data they wish to analyze.
When your enterprise turns to you to inhabit the Citizen Data Scientist role, it may (or may not) provide information on what that role is, why it is important for business users to transform into the role and exactly how the transformation will work. Online training programs, like the one mentioned in the closing lines of this article, provide information on the role, its purpose, how to collaborate with data scientists and IT, how augmented analytics solutions work and the types of analytical techniques you will be using.
What do you have to know to be a Citizen Data Scientist? Who is the ideal candidate to be a Citizen Data Scientist? How does the whole Citizen Data Scientist thing work, anyway?
What Are the Benefits of Augmented Analytics? Where Do I Start?
Those who know me are probably tired of hearing me talk about the benefits of Augmented Analytics. To them, I say, ‘I am sorry’. I am about to talk about it yet again. The reason is simple. Most businesses are either considering the addition of augmented analytics to democratize data, improve data literacy and create Citizen Data Scientists OR they are still unconvinced and feel that they are just fine. Either way, your business professionals and managers can use a primer on the benefits of augmented analytics, whether it is used to support their decision or to convince the team that augmented analytics should be pursued!
If you are a business owner or a business team member who has been asked to consider the Citizen Data Scientist role, you may be wondering how it all works and whether you (or your team member) can handle the new role.
Have you heard of Embedded BI? Do you know what it is? If not, your business is missing a lot. Embedded BI provides a lot of potential for your business to enable Citizen Data Scientist initiatives and data democratization, improve data literacy across the enterprise and make better business decisions.
When a business engages its team members and asks them to take on the role of Citizen Data Scientist, there can be many misunderstandings regarding the new role. One of the most common misunderstandings relates to who does what in the role of analytics. Some common questions include:
If you are a business manager who wants to enable a Citizen Data Scientist environment, but you find yourself up against resistance, it is often because your business users believe that advanced analytics is just too hard for them to learn and that the use of these types of techniques and systems will slow them down and confuse their otherwise familiar processes.
