Can My Business Users Really Become Citizen Data Scientists?

What is a Citizen Data Scientist and How Do I Create Them in My Business?

What is a Citizen Data Scientist and what is the role of a Citizen Data Scientist? It isn’t as complicated as you might think. A Citizen Data Scientist is a business user working in a professional capacity within an enterprise – one who is collaborative and curious by nature and willing and ready to adopt augmented analytics tools to prepare and analyze data and use that data to gain insight into business issues and opportunities. The role of a Citizen Data Scientist is to interact with and liaise with IT and data scientists to define use cases and refine data output to be used in making fact-based decisions.

Digital Transformation Requires Commitment and Five Points of Integration

White Paper – The Potential of the Citizen Data Scientist Approach and Augmented Analytics

Digital Transformation
Requires Commitment and Five Points
of Integration

Whether a business addresses or ignores the Digital Transformation movement, it is here to stay and Dx will change markets and competition. If a business truly wants to embrace Dx, it must be willing to take the necessary steps and engage in a review that touches all corners of the organization. To plan and execute a comprehensive, effective Digital Transformation (Dx) project, the business must consider five points of integration including Technology including Infrastructure, Software, Hardware, Network, Mobility, Enterprise Culture including Process and Analytics, Team Members, Suppliers, Partners, Vendors and Stakeholders, Customers. Download White Paper

Augmented Analytics and ETL Tools for Business Users!

How Can Business Users Prepare Data and Perform Analytics?

Can Business Users Really Figure Out Data Prep and Analytics?

It is a great idea to get your business users involved in analytics and to encourage and build data literacy in your enterprise but one of the things that often stops an organization from implementing self-serve analytics is the need to gather and prepare the data for analytics. How can IT or data scientist staff turn over day-to-day analytics when data is spread across the enterprise and it is so difficult to integrate that data and prepare the data for analytics?

Let’s Talk About Citizen Data Scientists!

My Friend is Wrong! Citizen Data Scientists ARE Important!

Do You Want To Understand and Enable Citizen Data Scientists? You SHOULD!

I had a conversation with a dear friend the other day and one of the things we discussed was the ubiquitous mention of Citizen Data Scientists in technology and industry publications and conferences. My friend (who shall remain nameless), insisted that this was just another passing fancy and that Citizen Data Scientists were not really all that important in building the enterprise of the future.

Get Answers to Your Questions About Digital Transformation!

Digital Transformation Does Not Have To Be A Mystery!

Do You Have Questions About Digital Transformation? We Have Answers!

If you’ve heard the Digital Transformation buzz, you probably have a lot of questions. Let’s dive into some of those questions and see if we can clear up the confusion!

Modern BI & Mobile BI for Business Users!

Modern BI and Data Literacy Go Hand in Hand!

Mobile BI and Personalized Dashboards: Important Components of Modern BI!

If your team is using business intelligence (and it should be), you may be working with a more restrictive business solution that is not designed for a business user. If that is the case, you are missing an opportunity to cascade analytics throughout the organization and to optimize your resources and improve productivity. Self-Serve Business Intelligence solutions are designed with guidance and recommendations to guide a business user with average skills through the process of preparing and analyzing data and to encourage collaboration and data sharing across the enterprise.

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Research Studies Reveal Shortcomings in Many Data Literacy Projects: Don’t Let This Happen to You!

Research Studies Reveal Shortcomings in Many Data Literacy Projects: Don’t Let This Happen to You!

Data Literacy is a hot topic in business today.

As businesses struggle to remain competitive and to do more with less, every enterprise is looking for a way to optimize resources, and to get the most out of every team member. To do that, the business management team must leverage the knowledge and skills of each team member as those skills relate to their role and their responsibilities. Businesses must use team member knowledge gleaned from experience and education and merge that knowledge with data and analytics to make context-based, data-driven decisions.

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Understanding Digital Transformation: What it Is and What it is Not

White Paper – The Potential of the Citizen Data Scientist Approach and Augmented Analytics

Understanding
Digital Transformation:
What it Is and What it is Not

Digital Transformation occurs when an organization successfully exploits digital technologies, its processes, its core capabilities and its enterprise culture to create a rich digital business model that will advance the interests and success of the business. To plan and execute a Digital Transformation initiative, a business must understand what Dx is and what it is not and it must use that knowledge to build a comprehensive view of the organization, its current and desired culture and technology environment and its team strengths and weaknesses and customer needs. Download White Paper

Understanding the Benefits of Digital Transformation!

What is Digital Transformation and Why Should I Care?

Embrace Digital Transformation and Build a New Vision of Your Business!

What is Digital Transformation and why should you care about it? Let’s keep it simple. Digital Transformation involves the use of new, ever-changing digital technology in an environment designed to encourage problem solving and collaboration. Digital Transformation assumes that a business organization truly values data-driven decisions and wishes to improve its team member value and productivity by increasing their data literacy and comfort level with using data to make decisions.
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