One of the most valuable aspects of self-serve business intelligence is the opportunity it provides for data and analytical sharing among business users within the organization. When business users adopt true self-serve BI tools like Plug n’ Play Predictive Analysis, Smart Data Visualization, and Self-Serve Data Preparation, they can apply the domain knowledge and skill they have developed in their role to create reports, analyze data and make recommendations and decisions with confidence.
Is Predictive Analytics Real or Does it Promise More Than it Delivers?
Why would anyone want or need to use predictive analytics? What good is forecasting anyway? Doesn’t it always end up being wrong? Well, no! That’s why wise businesses use these techniques to plan and forecast and to understand how a change they are considering might impact their business success. Nearly every organization today is using analytics to improve productivity, competitive positioning, market presence, financial investment strategies, price point planning, risk mitigation and many other business factors.
Business Users Don’t Have to Be Data Scientists (But Basic Knowledge is Great)
When you launch an analytics solution within your enterprise, you are probably concerned about getting your business users to adopt that solution. If you can’t engage the business user and achieve user adoption, your return on investment (ROI) will be poor! But, it is important to understand that the right augmented analytics solution can provide the structure and foundation for business users without requiring them to have a sophisticated knowledge of algorithms and analytical techniques.
Whether your business is a small, single location brick and mortar enterprise or a large, multi-facility organization that spans the global market, you need access to sophisticated, easy-to-use business intelligence tools in order to compete in local, regional and global markets.
What is Assisted Predictive Modeling?
Assistive Predictive Modeling incorporates complex, sophisticated analytical and forecasting techniques in a self-serve environment where business users can employ tools to guide them through recommended techniques and report formats and ensure that the methods and reports they choose are appropriate to the type of data and information they need.
Predictive Analytics is a Critical Component of an Augmented Analytics Suite!
Analytics and advanced analytics techniques can seem daunting to the average business user but they need not be. If a business wants its users to adopt and use analytics tools, an augmented analytics solution is the way to go. These solutions are easy to use and provide guidance and auto-recommendations to help users gather and analyze data using the right analytical technique.
Augmented Analytics is Designed for Business Users So Analytics is Easy for All!
When a business decides to undertake a data democratization and data literacy initiative, it is important to recognize that not all advanced analytics solutions are created equal. Business users who are expected to take on the task of analytics, will need an augmented analytics solution that can support their needs. They aren’t data scientists. They aren’t business analysts. They are business professionals who will want to use an analytics solution that can give them sophisticated output and information. It has to be easy enough to use without the need for assistance by IT or data scientists and it has to be a solution that can be personalized to produce reports and analytics that are easy for each user to leverage to make decisions, solve problems and identify opportunities.
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.
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.