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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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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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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What is Modern BI and How is it Different From Traditional BI?

What is Modern BI and How is it Different From Traditional BI?

Business Intelligence isn’t new but the way we gather, analyze and digest this intelligence is definitely changing. In the past, business intelligence was delivered to senior executives by IT and/or business analysts. The combination of a fast-paced business environment and a limited budget and limited resource reality means that most organizations must optimize resources and time to produce results. There are few businesses today that have the luxury of waiting for information, data or reports.

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Predictive Modeling Does Not Have to be Complicated!

Business Users Can Leverage Predictive Analytics Techniques!

Assisted Predictive Modeling Delivers Predictive Analytics to Business Users!

When we use terms like ‘predictive analytics’, it sometimes puts off the general business population. Team members might envision everything from a crystal ball to complex charts and graphs with unreadable numbers and conclusions. While predictive analytics techniques and predictive modeling does include complicated algorithms.

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Clickless Analytics = Simple Search Analytics!

Augmented Analytics with Natural Language Processing!

Clickless Analytics with Natural Language Processing Search Analytics!

We all understand the value and innovation inherent in natural language processing (NLP). Think about the ease of searching for the answer to a question on Google. Users with average skills can ask a question and get an answer, a list of search results that address their interests and support and assistance to take the next step.

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ETL and Self-Serve Data Prep for ALL!

ETL Need Not Be Daunting!

Don’t Be Intimidated by ETL and Data Prep. It’s EASY!

When you hear the term ‘Extract, Transform and Load’, does it make you want to run in the opposite direction? ETL, as it is called, refers to the process of connecting to data sources, integrating data from various data sources, improving data quality, aggregating it and then storing it in staging data source or data marts or data warehouses for consumption of various business applications including BI, Analytics and Reporting.

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