The Merriam-Webster dictionary defines the word ‘augment’ this way: ‘to make greater, more numerous, larger or more intense’. If you are wondering how this applies to the term ‘augmented analytics’, you are not alone. Let’s take a closer look at Augmented Analytics and talk about why it has gotten so much attention in the business intelligence world.
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!
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.
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.
Smart Data Visualization can radically improve your business intelligence, data discovery and analytics. It can streamline the work process of business users, improve the accuracy of planning and forecasting and ensure better, more timely, more accurate business decisions.
As self-serve business intelligence and data analytics has evolved, the concept of Social BI and business intelligence collaboration has become more prominent. Today’s trends in social networking and collaboration drive Social BI within the organization and, as this concept becomes more mainstream, business users and organizations reap the benefits of these collaborative efforts and of shared data analytics and data popularity.
The concept of Clickless Analytics is one that will be happily embraced by business users and by the business enterprise. The reason is simple! Clickless Analytics allows users to find and analyze information without specialized skills, by using natural language.
Self-Serve Data Preparation is the next generation of business analytics and business intelligence. Self-serve data preparation makes advanced data discovery accessible to team members and business users no matter their skills or technical knowledge.
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.
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.
