Gartner predicts that ‘… augmented analytics will be ubiquitous, but only 10% of users will use it to its full potential.’ One of the primary reasons that augmented analytics is not adopted and leveraged to its full capacity is that the business chooses a solution that is not easy enough for team members to adopt – one that is restrictive, inaccessible or requires sophisticated skills.
What is Natural Language Processing (NLP)?
Natural Language Processing utilizes artificial intelligence to translate computer code and language into real world, human language. While the goal is to simplify human interaction with computers, NLP is a complex mix of computational linguistics and computer science. When a business is considering an augmented analytics solution that leverages natural language processing, it need not concern itself with the complicated underpinning of code and design, but should rather consider what NLP can do for its users and for its business results.
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?
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.
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.
If your business has entrusted you with the responsibility of a new role, namely that of Citizen Data Scientist, you may think of it as extra work or some sort of punishment. Nothing can be further from the truth! As a business technology user, you are in a unique position to combine your market, domain and industry expertise and your professional knowledge with augmented analytics that will support your queries, your problem-solving initiatives and your desire to improve on productivity, performance and revenue.
If your business has designated you a Citizen Data Scientist, you may feel intimidated and unprepared to take on the role. You are probably a business professional with a lot of knowledge in your chosen career and area of focus and none in the field of data science or business analysis.
As a Citizen Data Scientist, your journey may have been rocky. If your business did not plan for the cultural shift, the new workflow and processes, or provide support to help you scale up with intuitive, sophisticated augmented analytics, you probably struggled to find your footing. Perhaps you have yet to find that footing and are still looking for support. No matter where you are on the journey, one thing is for sure, if you don’t have the right tools and techniques to accurately and effectively use data, your Citizen Data Scientist role will not be fulfilled.
When it comes to the new world of analytics, the augmented analytics approach allows business users with no data science background to readily access and use analytics in an intuitive way. There are some important aspects of this approach, including auto machine learning, natural language processing (NLP) and intuitive search analytics.
