How Can My Business Make the Most Out of Analytical Resources and Skills?

How Can My Business Make the Most Out of Analytical Resources and Skills?

Advanced Analytics is the new frontier of competition and business success. While some businesses have the luxury of employing data scientists and professional analysts to help them sift through and analyze data, others do not have the budget or the structure to support these roles and, even those who employ professional data scientists do not have unlimited resources or budgets.

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Business Users Can Easily Adopt Augmented Analytics!

The Benefits of Advanced Analytics are Many!

Enjoy the Advantages of Advanced Analytics with Augmented Analytics Support!

The benefits of advanced analytics are many and with augmented analytics support, the benefits are even more numerous.

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Data Analytics vs Business Analytics!

Data Analytics vs Business Analytics!

Data Analytics and Business Analytics: An Integrated Approach!

What’s the difference between business analytics and data analytics?

Business Analytics incorporates the skills, technologies, processes and practices to explore and understand exploration historical business performance and use that insight for business planning and issue resolution.

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Citizen Data Scientists are Here to Stay!

Gartner Predicts the Rise of Citizen Data Scientists!

Citizen Data Scientists Will Lead the Charge with Augmented Analytics!

You have probably heard a lot about the concept of Citizen Data Scientists in industry conferences and journals. Whether you are managing a business, or a team or you are a team member in a business, you should take heed of these discussions as they will definitely change the landscape of every type of business from start-ups and small companies to large enterprises, and you would be wise to get on board.

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Predictive Analytics Tools for All Skills!

Assisted Predictive Modeling Designed for Business Users!

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.

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Affordable, Simple Predictive Analytics Software!

Assisted Predictive Modeling Makes Forecasting Easy!

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.

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Gartner Predicts Growth of Augmented Analytics!

Improve the Value of Business Analysis Across the Enterprise!

Augmented Analytics Tools Designed to Support the Future!

As one of its Strategic Assumptions, Gartner predicted that ‘By 2020, more than 40% of data science tasks will be automated, resulting in increased productivity and broader usage by citizen data scientists.’ Gartner also predicts that the number of Citizen Data Scientists will grow five times faster than the number of expert data scientists through 2020, and that by 2019 the amount of advanced analytics produced by citizen data scientists will surpass that produced by data scientists.

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Data Discovery Tools Are Easier Than Ever!

The Power of Advanced Data Discovery is for Everyone!

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.

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Data Analytics Software: Affordable and Appropriate for All!

Data Analytics Tools are Right for Every Size Business!

Should My Small Business or Start-Up Use Data Analytics?

When a start-up or small business looks at its budget and resources, it often concludes that, while data analytics is important to its business, data analytics tools may be too complex, too sophisticated and too expensive to include in its initiatives and programs.

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