What is Augmented Data Science and Why is it Important to My Business?

What is Augmented Data Science and Why is it Important to My Business?

If Data Science was once the sole domain of analysts and data scientists, Augmented Data Science represents the democratized view of this domain. With Augmented Data Science, the average business user can engage with advanced analytics tools that allow for automated machine learning (AutoML) and leverage sophisticated analytical techniques and algorithms in a guided environment that uses auto-recommendations and suggestions to lead users through the complex world of data science with ease and intuitive tools.

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Can My Business Achieve Optimal Analytics Without Hiring Dozens of Data Scientists?

Can My Business Achieve Optimal Analytics Without Hiring Dozens of Data Scientists?

As the need for advanced analytics increases in organizations, enterprises large and small struggle to find and sustain the professional resources they need to meet their requirements for data, analysis and strategic direction.

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Is Advanced Analytics the Next Logical Step Beyond Self-Serve Business Intelligence?

Is Advanced Analytics the Next Logical Step Beyond Self-Serve Business Intelligence?

Many organizations have grown comfortable with their business intelligence solution, and find it difficult to justify the need for advanced analytics. The advantages of advanced analytics are numerous and those advantages are based on the ability to further improve the business, increase user adoption (and therefore user empowerment and accountability) and, best of all, improve the bottom line and the accuracy of predictions and forecasts that will dictate the success of the business in the future.

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What is Automated Machine Learning (AutoML)?

What is Automated Machine Learning (AutoML)?

What is Automated Machine Learning? Quite simply, it is the means by which your business can optimize resources, encourage collaboration and rapidly and dependably distribute data across the enterprise and use that data to predict, plan and achieve revenue goals.

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Why is Natural Language Processing Important to Enterprise Analytics?

Why is Natural Language Processing Important to Enterprise Analytics?

The impact of natural language processing (NLP) on the productivity and decision quality within an organization cannot be overstated. As simplified search analytics expands into all corners of the enterprise, the business can expect business users to embrace advanced analytics and, in so doing, to become more of an asset to the organization.

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What are Citizen Analysts and How Can They Improve Your Organization?

What are Citizen Analysts and How Can They Improve Your Organization?

The days of data silos and isolated teams of data analysts and IT staff are behind us. Today, every business user must incorporate accurate analysis into the decision-making process. Enter, the Citizen Analyst!

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What is Advanced Analytics and What Are the Benefits of Advanced Analytics?

What is Advanced Analytics and What Are the Benefits of Advanced Analytics?

Many businesses are just discovering the benefits of self-serve business intelligence and establishing data democratization initiatives but, as every business manager and team member knows, business markets and competition move rapidly and yesterday’s business intelligence initiatives are morphing into advanced analytics efforts. As businesses consider the transition, it is important to understand the advantages of advanced analytics.

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Does Data Democratization Result in Data Anarchy and Bad Business Decisions?

Does Data Democratization Result in Data Anarchy and Bad Business Decisions?

One of the most common excuses used to avoid data democratization and self-serve augmented data discovery is that the organization cannot guarantee data integrity and that, if business users have access to dated, incorrect or incomplete data, the resulting decisions will not be better but rather worse than the decisions made today. Further, this theory says that the distribution of this inaccurate data will have a systemic effect on truth and promote disastrous business decisions. There are several mistaken assumptions in this theory, and several ways an organization can guarantee success in a data democratization initiative.

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What is Predictive Analytics and Can it Help You Achieve Business Objectives?

What is Predictive Analytics and Can it Help You Achieve Business Objectives?

The process of predictive analytics has come far in the past decade. No longer is this process the sole responsibility of data scientists or IT staff. Today’s self-serve predictive analytics and forecasting tools are designed to support business users and data analysts alike.

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What is Search Analytics and Can it Improve Self-Serve Data Discovery? (Part 2 of 3 articles)

What is Search Analytics and Can it Improve Self-Serve Data Discovery? (Part 2 of 3 articles)

Search Analytics or search-based analytics marks the advent of a new era of business intelligence, in that it allows business users to ask a question using natural language and that question is translated by the system to produce results.

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