What is the Key to Citizen Data Scientist Success?

Are You Feeling Less Than Confident in Your Role as a Citizen Data Scientist?

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.

The Important Components of Augmented Analytics!

AutoML, NLP and Clickless Analytics Come Together to Produce Auto Insights!

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.

Clickless Analytics is the Future of Business User Analytics!

What Does a Business Need to Do To Ensure That Users Adopt Analytics?

If your business is trying to incorporate data analytics into the fabric of day-to-day work, you will need to get your users to adopt analytical tools. The way forward is not all that complicated. The solution you choose must take an augmented analytics approach, one that includes simple search analytics, ala Google search. Natural Language Processing (NLP) and NLP Search tools are key to this approach as they allow business users to ask simple questions and get answers. If a user does not have to create complex queries or look to business analysts or data scientists or IT professionals, that user can incorporate data into information sharing, reporting, presentations and recommendations to management.

Smarten Launches Clickless Analytics Natural Language Processing (NLP) Search Analytics for Business Users!

Smarten Launches Clickless Analytics Natural Language Processing (NLP) Search Analytics for Business Users

Smarten announces its Smarten Clickless Analytics, a Natural Language Processing (NLP) Search Analytics tool designed for every business user, no matter their technical expertise or data skills. Natural Language Processing Search Analytics (NLP) is an easy-to-use search analytics technique that allows business users to create complex searches without endless clicks and complex navigation and commands. Using this familiar Google-type Clickless Analytics, users can leverage these tools to discover trends and patterns, receiving results in simple, clear language the user can understand.

Natural Language Processing Supports Business User Analytics!

Encourage User Adoption of Advanced Analytics with NLP Search Analytics!

You have selected an advanced analytics solution and deployed it across your enterprise, but your business users are not cooperating! One of the primary reasons for poor user adoption of this type of tool is that the tools are too restrictive and too difficult to use. Perhaps IT created the dashboards and they do not meet the needs of your business user, perhaps the business user needs help to engage with the system. Your users may have tried their best to use the system but the results they receive when they search are not accurate or do not meet their requirements. An advanced analytics system that is not intuitive, is complex or requires programming skills just to perform a simple search is not going to work for your business.

You Can Have Advanced Analytics AND Augmented!

Shopping for Advanced Analytics? Get Self-Serve Augmented Analytics and Succeed!

There are a lot of business intelligence and analytical tools on the market today and if your business has recognized the need to implement this type of solution for self-serve analytics among business users, it is important to understand the advantages of augmented analytics. Advanced analytics benefits are numerous but, when a business chooses augmented analytics tools, it can ensure that its business users have full access to analytical features and sophisticated techniques without having to learn complex systems and without having to acquire data scientist skills. That ease-of-use takes advanced analytics advantages to the next level by democratizing use and allowing for digital transformation and increased data literacy across the enterprise.

NLP Makes Every Business User More Comfortable With Analytics!

Natural Language Processing Defeats User Trepidation About Augmented Analytics!

Your business users probably fight you on improving data literacy and on implementing digital transformation. Many business users have a fear of analytics and envision having to become a business analyst or a data scientist in order to fulfill the vision of the business and its Citizen Data Scientist goals.

What Is Assisted Predictive Modeling And Is It Suitable For Business Users?

What is Assisted Predictive Modeling?

Assistive Predictive Modeling incorporates complex, sophisticated analytical and forecasting techniques in a self-serve environment where business users can employ tools to guide them through recommended techniques and report formats and ensure that the methods and reports they choose are appropriate to the type of data and information they need.

Increase Data Literacy And Enable Digital Transformation!

Enable Data Literacy & Digital Transformation With Augmented Analytics!

If your business wishes to enable Digital Transformation, it must create a roadmap to achieve results using new or modified technologies, streamlined workflow and processes that will leverage these technologies to enhance information sharing and ensure a consistent, uniform approach to business objectives and goals. It must also encourage and advance Data Literacy within the ranks of its teams. Why is data literacy important?