What is So Important About Augmented Data Discovery?

Are Augmented Data Discovery Tools Important for My Business?
Can Augmented Data Discovery Make a Difference in My Organization? There are so many new terms in the business intelligence and advanced analytics domain. So, what is augmented data discovery, and why is it important for your enterprise? Augmented Data Discovery (aka Smart Data Discovery), takes the enterprise beyond data monitoring and helps users discover the more subtle yet crucial factors that affect business success. It identifies hidden issues and patterns within the data so the organization can address challenges, capitalize on competitive and market advantages and plan for the future with more confidence. There are a couple of components to the augmented data discovery continuum.
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Analytics Translator? Citizen Data Scientist? What is the Difference?

Analytics Translator? Citizen Data Scientist? What is the Difference?
There is a new business role on the horizon and, at first glance, it may seem very much like a role that was introduced a few short years ago. This new enterprise role is known as an 'Analytics Translator' and, while there is some confusion regarding the distinction between this role and the newly minted Citizen Data Scientist or Citizen Analyst, there are some subtle but important differences. In a previous article (What is an Analytics Translator and Why is the Role Important to Your Organization?), we discussed the definition of an Analytics Translator. Here, we will discuss the role of Citizen Data Scientist and Analytics Translator and how they differ. To understand these roles, let's look first at the somewhat more familiar role of Citizen Data Scientist (AKA Citizen Analyst).
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BI Tools with Easy Connectivity, Implementation and Training

Connect BI Tools with Business Software - Easily and Quickly
Does Your BI Tool Easily Connect to ERP and Other Crucial Software? Today's business enterprise does not want to settle. If you plan to implement or upgrade your business intelligence solution, you would understandably expect to be able to use the other solutions your business users depend upon. Best-of-breed or enterprise solutions like Tally® for accounting and financial management, or SAP or Navision for enterprise-wide management are just such examples of software and solutions you would want to integrate and include in business intelligence and advanced analytics.
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What is an Analytics Translator and Why is the Role Important to Your Organization?

What is an Analytics Translator and Why is the Role Important to Your Organization?
Today, enterprises recognize the critical value of advanced analytics within the organization and they are implementing data democratization initiatives. As these initiatives evolve, new roles emerge in the organization. The newest of these analysis-related roles is the 'analytics translator'. As the enterprise considers the relevance of this new role within the business, it is important to understand the responsibilities of an Analytics Translator, and how this role might help the organization to achieve its goals.
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Explore the Potential of Self-Serve Analytics

Advanced Data Discovery Is Easier and More Popular Than Ever
Self-Serve Advanced Analytics is Moving and Growing and Changing! The Gartner Magic Quadrant is a well-known report and tool both for vendors and for prospective customers. The Gartner Business Intelligence Magic Quadrant offers in-depth analysis of the current market and predictions of where the market is going. There is no doubt that the Business Intelligence market has moved toward Advanced Data Discovery tools and self-serve tools like Self-Serve Data Preparation, and Plug n' Play Predictive Analysis.
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Uncover the Data 'Nuggets' with Smart Visualization

Full Insight for Business Users with Smart Visualization
Smart Data Visualization Helps Your Users to Gain Insight! Organizations that are currently considering and upgrade or a new business intelligence solution, should focus on advanced analytics capability that is simple enough for its business users to improve accountability and empowerment and cascade information throughout the organization to improve planning, results and competitive advantage. Included in this solution is Smart Data Visualization. This feature suggests the best options for visualizing and plotting for a particular set or type of data, based on the nature, dimensions and trend of data. Tools like these can allow the average business user to leverage sophisticated tools without the knowledge and skill of an IT pro or a data scientist.
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What is Advanced Analytics and How Can it Advance Your Organization?

What is Advanced Analytics and How Can it Advance Your Organization?
The term 'Advanced Analytics' can seem daunting to the average business user and even to the average business enterprise but the process is not as complex as it may seem. What is Advanced Analytics? Advanced Analytics is comprised of numerous sophisticated analytical techniques, designed to parse, explore and analyze data and produce results to support business decisions. Fortunately, today's new self-serve business intelligence solutions allow for ease-of-use, bringing together these varied techniques in a simple interface with tools that allow business users to utilize advanced analytics without the skill or knowledge of a data scientist, analyst or IT team member. Advanced Analytics provides a 360 degree view of data from data marts, data warehouses, best-of-breed, legacy systems and other data sources. The analytical techniques and algorithms are designed to identify patterns and trends, pinpoint issues and the root cause of these issues and allow the enterprise to capitalize on opportunities and accurately plan for the future.
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Advanced Data Discovery and Augmented Analytics: Simple, Sophisticated Tools for Business Users

Advanced Data Discovery and Augmented Analytics: Simple, Sophisticated Tools for Business Users
The world of business analytics has changed dramatically in the past few years. If your business is looking to upgrade BI tools or to begin implementing an analytics solution, the solution must be user friendly for business users. The tools exist today for augmented analytics, augmented data discovery, self-serve data preparation and other features and modules that provide sophisticated functionality and algorithms in an easy-to-use dashboard and environment that is designed to support business users, as well as data scientists and IT staff.
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Advanced Analytics: If You Don't Know What You Need, How Can You Succeed?

Advanced Analytics: If You Don't Know What You Need, How Can You Succeed?
Every enterprise is talking about Business Intelligence and Advanced Analytics. Every enterprise has considered the benefits of implementing self-serve analytics across the organization and involving business users in the process. Panel discussions at technology conferences and hallway conversations among executives and IT staff encourage the trend and create anxiety within the organization that has not yet embraced advanced analytics at the grassroots level.
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Plug n' Play! Analytics that Leads Business Users to Success

Assisted Predictive Modeling Leads the Way with Ease
Plug n' Play Predictive Analysis: Sophisticated, Yet Easy for Every User! Oh, the confusion of advanced analytical terminology. Read a report, attend a conference and your head is swirling with terms like 'assisted predictive modeling', plug n' play predictive analysis, smart visualization, augmented data discovery and augmented data preparation. Add to that, the sophisticated concepts of auto-suggest, auto-recommend, time series forecasting, causation and prediction and classification techniques and you may feel that you need a degree in data science to do your job.
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