The What and Why of NLP Search Analytics and How it Can Help Your Business!
If your business is considering an advanced analytics solution, your IT and management team has probably already done some research and concluded that the concept of augmented analytics designed to support business users is the right way to go. To democratize data, improve data literacy and transition business users to the Citizen Data Scientist role, the business must select the right solution and plan for success.
‘NLP search analytics technology improves productivity, user adoption, business results and competitive positioning in the market.’
Gartner, the renowned technology research firm, has predicted that, ‘… 90% of corporate strategies will explicitly mention information as a critical enterprise asset and analytics as an essential competency.’ Your competitors are implementing this strategy and it is time you do so as well. But if you are to choose the right solution, you must first understand the concepts of new systems and solutions and how data science and analytics have changed to incorporate search analytics, tools and features that will support your business users.
Consider the ubiquitous nature of Google-type searches and how the concept of natural language processing (NLP) and tools that allow users to ask questions and get answers easily can be applied to your business analytics.
In this article we define Search Analytics and the WHAT and WHY as well as the BENEFITS of implementing this type of solution.
One of the greatest obstacles to self-serve analytics is the need for a specialized skill set to use the solution. The concept of search is designed to provide sophisticated features in a user-friendly environment so business users can leverage these tools to perform analysis and produce reports. Search analytics provides an interactive environment wherein business users can obtain rapid, accurate results. These tools use natural language processing (NLP) to simplify the input and output so that users can ask questions and receive answers without programming or analytical knowledge, thereby enhancing user adoption and the clarity and usefulness of the analysis and reports the enterprise produces. Rather than the user scrolling through menus and navigation or using drag and drop, the user can enter a search query in natural language. The system translates that search analytics language query into a query that the analytics platform can interpret, and return the most appropriate answer in an appropriate form such as visualization, tables, numbers or descriptions in simple human language.
The natural language processing (NLP) approach to Search Analytics allows users to process question in natural language, and presents relevant, easy-to-understand visualization reports, numbers, trends and key performance indicators (KPIs) to answer questions. The old, structured approach is gone; replaced by an expanded data environment where users can get information in a way that is meaningful to them and easy to interpret. Users can leverage these simple Search Analytics tools to perform analytics on any internal and external data sources and thereby create a foundation for fact-based, data-driven analysis that is easily accessible.
How it Can Help Your Business
Search analytics produces clear results, and data is available in an intelligent adaptive user interface and users can access these tools from any desktop, tablet or mobile device, so users will WANT to use the solution. Search Analytics further supports your business by helping you to achieve rapid ROI and sustain low total cost of ownership (TCO) with meaningful tools that are easy to understand, and as familiar as a Google search. These tools require very little training, and provide interactive tools that ‘speak the language’ of the user. Search analytics interprets natural language queries and presents results through smart visualization and contextual information delivered in natural language so every business users can capitalize on these tools, no matter their skill level or their analytical need. When a business user can leverage this type of clickless analytics search capability, the user can achieve rapid, clear results and use those results to solve problems, share information and optimize opportunities for the business. With natural language-processing-based search capability, users do not need to scroll through menus and navigation. The business can address complex questions using this simple search capability with a contextual flexible search mechanism that provides one of the most flexible, in-depth search capability and results offered in the market today. Clickless Analysis and contextual search capabilities go beyond column level filters and queries to provide more intelligence support. The solution translates the contextual query and returns results in an appropriate format, e.g., visualization, tables, numbers, or descriptors. This NLP search analytics technology improves productivity, user adoption, business results and competitive positioning in the market.
‘You must understand how data science and analytics have changed to incorporate search analytics, tools and features that will support your business users.’
Explore the advantages of Augmented Analytics Products And Services, and Search Analytics Tools. Let us help you implement a solution that will be suitable for your team members and your business results.
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