Augmented Analytics: The Right Choice for Advanced Analytics!

When Considering Advanced Analytics, Look for an Augmented Analytics Solution!

When a business is considering an advanced analytics solution, it must sell its management team and investors on the value and benefit of that solution and the merits of implementing such a solution or upgrading an existing solution.

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.

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.

Self-Service Data Prep: A Tool for All Business Users!

Can Self-Serve Data Prep Make My Business More Productive?

Why Do I Need Self-Serve Data Preparation?

Why would your business need Self-Serve Data Preparation? Perhaps you have a team that includes IT professionals that can prepare data for analysis or maybe you have a business analyst or a data scientist to serve that need. But, there are plenty of good reasons to consider data preparation tools that are easy enough for every team member to use.

Machine Learning = Easy Predictive Analytics!

Leverage Machine Learning for Forecasts and Predictions!

Business Users Get Instant Help with Machine Learning and Predictive Analytics!

Here’s some good news! If you want to predict or forecast results for your business, you don’t need to be a data scientist, a statistician, a business analyst, or a rocket scientist! Today, augmented analytics solutions provide all the help a business user will need to gather data, prepare it for analysis and then choose the right algorithm or analytical technique to analyze the data and get clear, easy-to-understand results. ###

Consider Augmented Analytics to Jumpstart Your Dx Initiative!

Dx and Augmented Analytics: A Dynamic Combination!

Integrate Augmented Analytics as a Foundation for Digital Transformation!

Digital Transformation (Dx) is achieved when an organization plans and exploits digital technologies, workflow and processes, and its core capabilities and skills with an enterprise culture that evolves and shifts to engender a digital business model that advances business. Any Dx plan must include a review and appropriate modification of businesses processes, business models, operations, team collaboration and customer relationships. ###