Plan Precisely with Predictive Analytics!

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.

Give Your Business Users Simple Augmented Analytics!

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.

Plug n’ Play Predictive Analysis for Business User Data Prototyping!

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 And Is It Suitable For Business Users?

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.

Business Users CAN Use Predictive Analytics!

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.

Do Citizen Data Scientists Need Special Analytics Tools?

Data Scientists Focus on Strategy, Citizen Data Scientists Deliver Daily!

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.

What Are Citizen Data Scientists and Can They Improve the Quality of Business Intelligence?

What Are Citizen Data Scientists?

Citizen Data Scientists represent a new breed of business analysts – a group of individuals with diverse business responsibilities and training, who wield sophisticated analytical tools, and employ complex methods of analysis to improve business results – all without the training or assistance of data scientists or IT team members. Citizen Data Scientists are business users who leverage the knowledge and skill they have developed through professional training and business roles to navigate business intelligence and advanced analytical tools to answer business questions, identify trends and patterns and develop new competitive strategies to support business decisions.

How Can I Move From BI Tools to Augmented Analytics?

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.

Data Preparation Need Not Be Cumbersome or Time Consuming

Data drives decisions and, in today’s competitive business environment, the kind of fact-based decisions achieved through Advanced Analytics are mandatory. These data-driven decisions ensure that a business does not make a misstep or have to guess at forecasts, plans and the root cause of problems.

Enjoy the Benefits of Augmented Analytics!

What is Augmented Analytics and Can it Benefit My Business?

What is the difference between analytics and augmented analytics? The simple answer is this: augmented analytics provide sophisticated analytics tools in an easy-to-use environment that offers guidance and recommendations, and a natural language processing (NLP) interface that makes it possible for every business user to leverage the solution, no matter their technical or analytical skills or experience.