Data Analytics Software is Easy Enough for Business Users!

Self-Serve Data Analytics Can Work for You!

Citizen Data Scientists are Not Born, They are Created!

Data analytics software used to be reserved for data scientists, analysts and IT staff but not today! Talk to any business colleague or pick up any technology analyst article and you will find plenty of discussion about the current use of data analytics tools and impressive predictions about the growth of this market. There is a reason for that popularity and growth! Businesses have discovered the value of business analytics and the benefit of taking the guesswork out of planning, problem solving and decision-making.

###

NLP and Clickless Analytics: The Perfect Pairing!

Clickless Analytics with Natural Language Processing (NLP)!

Search Analytics with Natural Language Processing Makes Advanced Analytics Easy!

Whether you are a consumer or a business user, today’s technology users are savvy and they are used to having easy-to-use tools and features that make them more productive and allow them to quickly complete tasks. The same holds true for users of advanced analytics users. These users are also consumers when they are off the job and they are used to simple search technology like Google and other search methodologies that allow them to think, search and get results in a way that is fitting for normal speech and language.

###

Assisted Predictive Modeling for All Users!

Predictive Modeling for Every Business User!

Predictive Analytics Techniques That Are Easy Enough for Business Users!

There are a myriad of predictive analytics techniques and predictive modeling algorithms and you can’t expect your business users to understand and use them. If you are taking on an advanced analytics initiative and you want to leverage data democratization to cascade data analytics and data literacy throughout the organization, you will need a data modeling solution that takes the guesswork out of the process.

###

Advanced Analytics Tools and Visual Analytics!

Visual Analytics is Important to Advanced Analytics!

The Importance of Data Visualization Cannot be Overstated!

Data visualization may not seem important, but the way you see data can provide additional insight or it can muddle the picture to the point where you will miss critical issues or opportunities. The importance of data visualization is even more evident when that data is being analyzed by business users who are not likely to see data in an analytical way and probably do not have the knowledge or skill required to change visualization techniques to accommodate a particular type of data.

###

Visual Analytics Software and Predictive Analytics Made Easy!

Predictive Analytics for Business Users!

Data Science and Predictive Analytics Made Simple!

Imagine a world where data science and predictive analytics tools are created for business users! That world exists today with the evolution of sophisticated, yet easy-to-use tools that include predictive analytics for business users, visual analytics software and tools, and self-serve data preparation.

###

Augmented Analytics Makes Advanced Analytics Simple!

Data Preparation Tools and Advanced Analytics for All!

Augmented Analytics Tools and Data Prep Tools Make Life Easy for Business Users!

In today’s world, advanced analytics is for everyone. There is no reason to limit access to data preparation software or advanced predictive analytics to data scientists, analysts and IT staff. The evolution of augmented analytics and intelligence augmentation has created some impressive tools and solutions that allow business users with average skills to use self-serve data prep and complete data preparation using auto-recommendations and suggestions to work through the process easily and with no confusion.

###

Citizen Data Scientists and Data Literacy!

Data Literacy Improves Resource Optimization!

Encourage Data Literacy and Create Citizen Data Scientists!

Data literacy is a very popular idea these days. As business users adopt and embrace data and advanced analytics, features like predictive analytics for business users make it easier for a user with average skills to leverage data to make decisions and share information and, in so doing, to become more literate about data analytics.

###

Is Advanced Analytics Right for Business Users?

Can Business Users Easily Adopt a Data Discovery Solution?

Are Data Discovery Tools Suitable for Business User Skills?

If you want your business users to function and perform at their highest level and you want to optimize all resources, your data discovery solution must provide the guidance and ease-of-use that a business user requires to analyze and share data and make confident decisions that will improve the business bottom line.

###

White Paper – Organizational Readiness Is Crucial to the Success of an Advanced Analytics Initiative

White Paper - Organizational Readiness Is Crucial to the Success of an Advanced Analytics Initiative

There are many variables to the success of an advanced analytics solution but the primary pitfalls for this type of project can be traced back to poor planning. If the organization is not ready for self-serve advanced analytics, the initiative will fail. Organizational readiness is, in fact, one of the most overlooked issues in any type of software, system or technology introduction. If the enterprise wishes to succeed and achieve its goals for self-serve advanced analytics it must have a clear vision of what it wants to accomplish. It needs to have a comprehensive understanding of its requirements (technical, infrastructure, processes, tasks, locations, team members, etc.) The enterprise also needs to assess its need for external vs. internal assistance in implementation and training.

###

Data Visualization Tools Make Sense of Confusing Data!

Smart Data Visualization is Important to Advanced Analytics!

What is Smart Data Visualization?

Smart data visualization is a crucial part of advanced analytics. Smart visualization allows business users to view and analyze data to identify a problem, clarify a root cause, identify a business opportunity, and to make confident decisions. Business users can interact easily with visual analytics tools to build a view that will tell a compelling story using guided visualization tools so there is no need for assistance from data scientists or delay in finding, analyzing and understanding the data. Guided data visualization recommendations are provided to the user, based on the data type, volume, dimensions, patterns and nature of data.

###