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.
When a business initiates a Citizen Data Scientist movement within its ranks, it is important to recognize the other changes that will be required in order to reinforce the value of the program by reviewing and modifying team member evaluation and merit programs to reward Citizen Data Scientists for their collaboration, use of data-driven information in decisions and recommendations and work with Data Scientists, IT and others involved in the new initiative.
When a business user is given the mantle of Citizen Data Scientist, they being a journey that can help to advance their career, provide leadership experience and improve visibility across the organization. But, in order to embrace this new part of their position, they must understand a number of things.
When Gartner talks about expanding data analytics to business users, they also talk about how the analytical tools must be suitable for business users. If a business wants to implement a Citizen Data Scientist initiative and encourage their business users to become more productive and valuable within the business environment, that business must provide tools that are easy enough for the average business user and will allow them to easily adopt these tools to make day-to-day decisions.
In a time when eCommerce is exploding, a small business owner with an online store might think that all they have to do is post products or services and wait for the money to roll in but nothing could be further from the truth. There are thousands of businesses struggling to pay their bills and wondering why their beautiful online stores are not producing results.
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.
If you are an average business professional, your eyes probably roll back in your head when you hear terms like data preparation, data extraction, transformation and loading, otherwise known as ETL, or any other term that makes you think of a pile of rubble you have to sift through to find what you need. How and why would you ever want to dive into that pile?
If you follow technology publications and predictions, you know that Citizen Data Scientists are the big news for business. By transforming business users into Citizen Data Scientists, the business can leverage the professional skills and knowledge of an individual team member and combine that knowledge with data analytics to get the best answers, forecast and predict, solve problems and identify business opportunities.
From Business Intelligence to Augmented Analytics: Tips for a Crucial Transformation
As business intelligence solutions and BI Tools evolve into Augmented Analytics, business users can achieve valuable insight and take appropriate action to optimize resources and enable continuous improvement. As Gartner has predicted, the market is responding to business needs by transforming business intelligence tools into sophisticated Advanced Analytics that are easy-to-use. These augmented analytics solutions support the needs of the average business user, improve productivity and collaboration, and assure data democracy and Data Literacy across the organization.
As business intelligence solutions and BI Tools evolve into Augmented Analytics, business users can achieve valuable insight and take appropriate action to optimize resources and enable continuous improvement. As Gartner has predicted, the market is responding to business needs by transforming business intelligence tools into sophisticated Advanced Analytics that are easy-to-use. These augmented analytics solutions support the needs of the average business user, improve productivity and collaboration, and assure data democracy and Data Literacy across the organization.
