The average business user does not have a full grasp of Advanced Data Discovery or Data Preparation methods, and most organizations would not want business users to waste precious time trying to navigate the complexities of a manual data preparation process. If a business provides a solid foundation for self-serve business intelligence with augmented data preparation features, business users can quickly and easily prepare data for analysis and get the results they need to move forward and make decisions.
Tag: Assisted Predictive Modeling
Assisted Predictive Modeling Lets Business Users Plan & Forecast with Confidence!
When businesses take on the task of forecasting and planning, it is important to provide the tools to go through this process at all levels with data integrated from the various systems and databases across the enterprise and to provide simple tools for all users that can be adopted and used to take on the various tasks and responsibilities involved in planning and accurate forecasting.
How Do I Pitch the Benefits of Augmented Analytics to Management and IT?
If you are trying to convince your executive management or IT team of the benefits of augmented analytics, you really don’t have to look far for support. Augmented analytics benefits are numerous and, while some benefits are self-evident, many are more subtle and will be uniquely effective within you own enterprise.
Predictive Analytics for Business Users = Assisted Predictive Modeling!
Are you tired of using guesswork and opinions to make business decisions? These types of decision-making can be particularly dangerous to your business when they are applied to predicting and forecasting. If you are to be successful in business, you must be able to look into the future and plan for customer demand, new suppliers, inventory needs, financial investment, training and resource requirements, business locations, competitive response, pricing, new products and changes in customer buying behavior – just to name a few considerations!
Assisted Predictive Modeling: The Word ‘Assisted’ is the Key!
Assisted predictive modeling! The term sounds complex and intimidating, doesn’t it? But nothing could be further from the truth. The word ‘assisted’ is the key! It is true that without the skills and knowledge of a data scientist or a business analyst, predictive analysis can be a daunting task.
Predictive Analytics Can Be Accurate and Easy!
Predictive analytics is more refined, more dependable and more comprehensive than ever. The foundation for predictive analysis is a great predictive analytics tool, and features and function that include assisted predictive modeling.
Deliver Advanced Analytics to Business Users with Augmented Data Discovery!
Smart data discovery is not dependent on a few geniuses sitting in a science lab somewhere! With appropriate data discovery tools your team members can leverage their knowledge of their role and domain, and the needs of their division, team or business unit to find the data and insight that is most meaningful to them.
Assisted Predictive Modeling Delivers Predictive Analytics to Business Users!
When we use terms like ‘predictive analytics’, it sometimes puts off the general business population. Team members might envision everything from a crystal ball to complex charts and graphs with unreadable numbers and conclusions. While predictive analytics techniques and predictive modeling does include complicated algorithms.
Data Quality vs. Data Agility – A Balanced Approach!
Sometimes we are so focused on perfection that we do not see the benefit of agility. Consider the emergence of the brainstorming concept as an example. We learned quite some time ago that if used the brainstorming concept of freewheeling, non-judgmental discussion we could bounce ideas off one another and often come up with innovative ideas that would not have resulted from a discussion that was more restrictive.
Why is Data Literacy Important?
If you have attended technology conferences or read industry publications, you have probably heard the term ‘Data Literacy’. If your enterprise is considering undertaking an initiative to encourage and nurture data literacy in your organization, you may be looking for a better understanding of the concept and the benefits.
