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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What is Augmented Analytics and Why Does it Matter?

What is Augmented Analytics and Why Does it Matter?

If your role in business demands that you stay abreast of changes in business analytics, you are probably familiar with the term Smart Data Discovery. You may also have read the recent Gartner report entitled, ‘Augmented Analytics Is the Future of Data and Analytics’, Published 27 July 2017, by Rita L. Sallam, Cindi Howson, and Carlie J. Idoine, highlighting the importance and benefits of augmented analytics, augmented data preparation and augmented data discovery.

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Do Citizen Data Scientists Mark the Death of Data Scientists?

Do Citizen Data Scientists Mark the Death of Data Scientists?

To be successful in business, every organization must find a way to accurately forecast and predict the future of its market, and its internal operations, and better understand the buying behavior of its customers and prospects. With the democratization of business intelligence and the advent of self-serve business intelligence tools, organizations hope to encourage and create Citizen Data Scientists and enable the average business user to leverage sophisticated predictive algorithms and BI tools without the expertise and skill of a trained data scientist. This approach allows users who are not statisticians, data scientists, programmers or analysts to leverage self-service tools to confidently make business decisions, share data, and reports and present data in a way that allows the organization to identify trends, patterns, opportunities and challenges.

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Citizen Data Scientists? Yay or Nay?

Citizen Data Scientists? Yay or Nay?

It seems that everyone today is talking about Citizen Data Scientists. For some organizations the concept is perhaps frightening. The term may conjure up images of novices trying to do the work of someone with years of training and failing miserably in the process. For others, the image may be of an organization run amuck with business users leveraging sophisticated advanced analytics tools to create and share data that may be misinterpreted or distributed improperly.

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Gartner BI & Analytics Summit, Mumbai, 2017: My Take

Gartner BI & Analytics Summit, Mumbai, 2017: My Take

On June 6 and 7, 2017, I had the pleasure of attending and participating in the Gartner Business Intelligence, Analytics and Information Management Summit in Powai, Mumbai, India. The 2017 Summit was larger and even more productive than the Summit of 2016, with more than 650 delegates in attendance. The theme for 2017 was Information & Analytics Leadership: Empowering People with Trusted Data.

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Power Up Your Predictions with Plug n’ Play Predictive Analysis

Power Up Your Predictions with Plug n' Play Predictive AnalysisTo be successful in business, every organization must find a way to accurately forecast and predict the future of its market, and its internal operations, and better understand the buying behavior of its customers and prospects. To accurately predict and plan, every enterprise must select a business intelligence solution that will support their efforts and provide business users with a rich set of features and tools.

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Fact or Fiction? Smart Data Visualization Tells the Tale

Smart Data Visualization Tells the TaleIf you are considering a Business Intelligence solution, you ought to give some consideration to the concept of Smart Data Visualization and review your prospective solution to determine its capabilities in that regard. Smart Data Visualization provides many benefits to the organization and to the business users, who will leverage the selected BI tools to gather, analyze, share and report on data. Smart Data Visualization goes beyond data display to suggest options for visualization and plotting for certain types of data, based on the nature, dimensions and trends inherent in the data. It allows users to perform advanced analytics, using sophisticated tools in an easy-to-use, drag and drop interface, with no advanced skill requirement for statistical analysis, algorithms or technical knowledge. Your users can go beyond data monitoring to ‘discover’ subtle and important factors that will identify issues and patterns, and help the organization capitalize on opportunities.

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Self-Serve Data Preparation: Help Yourself!

self-serve1The Self-Serve Data Preparation trend is growing by leaps and bounds. Why? Well, there are a lot of reasons to like Self-Serve Data Preparation and Self-Serve Business Intelligence solutions. Here are just a few:

  • Empowering Business Users
  • Making the Best Use of Resources
  • Using Existing Knowledge and Skill to identify Trends and Patterns
  • Bring agility in the decision making process
  • Reducing time to analyze data by empowering business users do data prep on their own
  • Leveraging BI Tools to Gain Competitive Advantage, Improve ROI and TCO

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Data Preparation and Analysis Don’t Have to be Painful!

Do-not-Create-Data-Governance-Tug-of-War-between-Financial-Pros-and-IT-StaffConsider the time and effort involved in the ‘old world’ of business intelligence data preparation! How on earth did we ever get anything done? Armies of data analysts and IT staff slaving over data, compiling, analyzing, graphing, charting, taking requests from managers and users and engaging in an endless exchange and interaction to assure that the requirements are understood and met. By the time the data analysis was delivered, it was old, sometimes incomplete and perhaps delivered in a form that might be misinterpreted by its audience.

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