Technology research and consulting firm, Gartner, predicts that, ‘By 2023, data literacy will become an explicit and necessary driver of business value, demonstrated by its formal inclusion in over 80% of data and analytics strategies and change management programs.’
Tag: Data Literacy
If your business is considering a Digital Transformation initiative, it may be mired in questions about the value vs. the cost and time to make this change. While it is true that a Digital Transformation initiative takes some effort, there are numerous long-term benefits to this effort. In this article, we explore four of the benefits of Digital Transformation, in hopes of helping your organization articulate and affirm the advantages to make a decision that is right for your enterprise.
This article should serve as a plea on behalf of the average business user!
Business users are business professionals who have expertise in an industry or market arena or perform a function to support the ongoing operation of the business – professionals who may be front line workers on a production line, finance professionals, sales representatives, non-profit office workers, medical researchers, middle managers, regional managers for retail chains, transportation dispatchers or…well, you get the idea. These team members know their job and they do it well. But, they probably don’t have the technical skills to write a SQL query, or to filter out the columns and fields for an analytical search in order to get the results they need to make a decision.
The What and Why of NLP Search Analytics and How it Can Help Your Business!
If your business is considering an advanced analytics solution, your IT and management team has probably already done some research and concluded that the concept of augmented analytics designed to support business users is the right way to go. To democratize data, improve data literacy and transition business users to the Citizen Data Scientist role, the business must select the right solution and plan for success.
Smarten is pleased to announce the launch of its FREE online Citizen Data Scientist course. This self-paced, online Citizen Data Scientist course can help businesses make the most of the Citizen Data Scientist experience by providing foundational training for business users who are Citizen Data Scientist candidate. It is also suitable for those that wish to find out more about the Citizen Data Scientist approach to Data Literacy and fact-based decision-making. It provides an individual study environment that includes video, slides, lectures and supporting documentation for further study and reference.
Smarten CEO, Kartik Patel says, ‘This comprehensive, free online course is designed to support businesses and individuals who wish to pursue, or are interested in finding out more about, the Citizen Data Scientist journey. The Smarten advanced analytics product suite was specifically designed to support business users and those with average technology skills and offers sophisticated analytics tools in an intuitive, easy-to-use environment and this self-paced course material is a natural extension of the self-serve Smarten Augmented Analytics approach.’
This Free Citizen Data Scientist Course describes the Citizen Data Scientist role, and its benefits to team members and the organization, including improved data literacy, support for user adoption of augmented analytics tools, and an understanding of the basic algorithms and analytical techniques used in the process. There are no prerequisites for this course. It is intended for business and technology users and team members within the business environment.
“By the end of this course, participants will understand the role and value of Citizen Data Scientists and the benefits to the organization, as well as the integration points and cultural shifts that will position analytical professionals and Citizen Data Scientists to work more productively,” Patel says. “ Participants will gain a basic understanding of applicable analytical techniques, including predictive analytics, how to apply these techniques to real world business use cases and the augmented analytics tools they can use to make fact-based decisions and move the organization forward. We believe this course can play a valuable role in moving an enterprise and its users toward a more data literate environment.”
By providing this course as a free online offering Smarten hopes to further support and encourage users and businesses to embrace the very real benefits of the Citizen Data Scientist approach to analytics and objective, data-driven metrics and results.
Begin the Citizen Data Scientist Journey now, or contact the Smarten team for more information on Smarten Augmented Analytics solution.
About Smarten
The Smarten approach to business intelligence and business analytics focuses on the business user and provides Advanced Data Discovery so users can perform early prototyping and test hypotheses without the skills of a data scientist. Smarten Augmented Analytics tools include Assisted Predictive Modeling, Smart Data Visualization, Self-Serve Data Preparation, Sentiment Analysis, and Clickless Analytics with natural language processing (NLP) for search analytics. All of these tools are designed for business users with average skills and require no special skills or knowledge of statistical analysis or support from IT or data scientists. Smarten is listed in multiple Gartner Reports including Gartner Data Preparation Report, the Market Guide for Enterprise-Reporting-Based Platforms and the Gartner Magic Quadrant for Business Intelligence and Analytics Platforms Report for the ElegantJ BI Business Intelligence Suite.
Original Post : Smarten Announces Free Online Citizen Data Scientist Course Available to All!
How Can Clickless Analytics Help My Business Succeed in Data Democratization?
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.
Small and medium sized businesses (SMEs) are often challenged to satisfy all the roles and responsibilities in the organization and most team members wear more than one hat. That feeling of being overstretched is typical of growing businesses and, in an increasingly competitive market with businesses fighting for skilled resources, it is difficult to meet budget and scheduling goals and get it all done.
Natural Language Processing (NLP) may not be a term that everyone is familiar with but all consumers and business users are certainly aware of its power. You use natural language processing every day when you perform a search in Google using questions written in the same way one would speak or write to another person. Whether you know it or not, you are using NLP to process, interpret and return results that meet your criteria.
What is Natural Language Processing and Why Do I Need it in My Advanced Analytics Solution?
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.
Recognize and Address Recent Market Changes with Citizen Data Scientists!
While many of you may follow the research and market analytics provided by Gartner, you may sometimes find yourselves wondering if their predictions and market analysis are correct. When it comes to the predicted transformation of business users into Citizen Data Scientists, that particular transition has been happening for a while now. If anything, the global pandemic has simply made the prediction more pressing than ever.
