Self-Serve Data Preparation Improves Results!

Include Self-Serve Data Preparation in Your Augmented Analytics Solution!

Gartner predicted that ‘…data preparation will be utilized in more than 70% of new data integration projects for analytics and data science.’ If your business is not already including this approach in analytics and decision-making, it is missing a crucial link to success. Self-serve data preparation and augmented analytics solutions are now more popular than ever. By democratizing data and improving data literacy, the business can do more with less. But the sheer volume of data within an organization can be challenging.

Traditional & Modern BI and Analytics: A Perfect Combination Solutions!

Combine Traditional BI with Modern BI and Analytics to Improve User Adoption and Gain Advantage!

The world-renowned technology research firm, Gartner, predicts that, ‘through 2024, 50% of organizations will adopt modern data quality solutions to better support their digital business initiatives’. As businesses consider the options for data analytics, it is important to understand the impact of solution selection.

Increase Team Member Value with Augmented Analytics!

Make the Most of Your Team Member Skills with Augmented Analytics!

Every business owner and manager understands the problem of limited resources. Today, you have fewer team members and you must do more to compete in the market. To enhance productivity and collaboration and ensure that every team member is making better decisions, it is wise to implement augmented analytics within your organization.

Employ BI Tools and Augmented Analytics for Business Users!

Business Intelligence and Augmented Analytics Go Hand in Hand!

Business Intelligence is mandatory! Without intelligence you have no insight into your customer buying behavior, your competition or your organization. In order to achieve business intelligence in today’s environment, you need modern BI tools and augmented analytics that is suitable for your business users.

Augmented Analytics Solution: Pass or Fail?

Choose an Augmented Analytics Solution Your Business Users Will WANT to Adopt!

Your senior management team has decided to engender digital transformation and improve data literacy across the enterprise. As a primary step in this process, the team wants to implement an augmented analytics solution that will encourage business users to get involved in data analytics, to use data to make fact-based decisions and to present, report and collaborate using real, current and clear information that will support collaboration and improve results.

Self-Serve Data Preparation Prepares You for the Future!

Don’t Be Afraid of Self-Serve Data Preparation! It’s Easy. You Can Do It!

Oh, the mysterious world of data preparation! It is daunting and confusing and…wait, no! It doesn’t have to be. If you aren’t employed as an IT professional, a business analyst or a data scientist, you probably see this arena as confusing and intimidating and you probably want nothing to do with data preparation. BUT, when you need a report, or you have to provide a recommendation to your boss in a staff meeting, you desperately need that data and that analysis, don’t you?

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.

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.