Natural Language Processing (NLP) may not be a term that everyone is familiar with but all consumers and business users are certainly aware of its power. You use natural language processing every day when you perform a search in Google using questions written in the same way one would speak or write to another person. Whether you know it or not, you are using NLP to process, interpret and return results that meet your criteria.
Tag: Predictive Analytics
Combine Traditional BI with Modern BI and Analytics to Improve User Adoption and Gain Advantage!
The world-renowned technology research firm, Gartner, predicts that, ‘through 2024, 50% of organizations will adopt modern data quality solutions to better support their digital business initiatives’. As businesses consider the options for data analytics, it is important to understand the impact of solution selection.
The focus of this article is on Data Democratization within the business enterprise, but the concepts and approaches involved in implementing this type of initiative are worth considering for any kind of major change within an organization.
What Does Becoming a Citizen Data Scientist Get Me?
When your enterprise turns to you to inhabit the Citizen Data Scientist role, it may (or may not) provide information on what that role is, why it is important for business users to transform into the role and exactly how the transformation will work. Online training programs, like the one mentioned in the closing lines of this article, provide information on the role, its purpose, how to collaborate with data scientists and IT, how augmented analytics solutions work and the types of analytical techniques you will be using.
Elegant MicroWeb is pleased to announce that its ElegantJ BI Embedded BI solution has been included as a Representative Vendor in the Gartner Market Guide for Embedded Analytics, published October 4, 2021 (ID G00748546).
Why Sasha Doesn’t Need to Fear Predictive Analytics!
My friend Sasha asked me about Predictive Analytics (knowing it was my favorite subject). Like most other business people, Sasha has a lot of professional knowledge but no exposure to analytics and the concept of Predictive Analytics is frightening and foreign to her. If your business team wants to up its game and get into predictive analytics, it really isn’t that hard. You can select an augmented analytics tool that allows your business users to leverage these features without a data science or business analyst background.
Business Intelligence and Augmented Analytics Go Hand in Hand!
Business Intelligence is mandatory! Without intelligence you have no insight into your customer buying behavior, your competition or your organization. In order to achieve business intelligence in today’s environment, you need modern BI tools and augmented analytics that is suitable for your business users.
Choose an Augmented Analytics Solution Your Business Users Will WANT to Adopt!
Your senior management team has decided to engender digital transformation and improve data literacy across the enterprise. As a primary step in this process, the team wants to implement an augmented analytics solution that will encourage business users to get involved in data analytics, to use data to make fact-based decisions and to present, report and collaborate using real, current and clear information that will support collaboration and improve results.
How Can I Make it Easier for Business Users to Perform Analytics?
When a business wants to roll out advanced analytics to its business users, it must consider the average skill level and understanding of analytical techniques and ensure that the solution it chooses will support its project goals. One of the most important factors of business user analytics is user-friendly, simple analytics in an augmented analytics environment.
Is Predictive Analytics Real or Does it Promise More Than it Delivers?
Why would anyone want or need to use predictive analytics? What good is forecasting anyway? Doesn’t it always end up being wrong? Well, no! That’s why wise businesses use these techniques to plan and forecast and to understand how a change they are considering might impact their business success. Nearly every organization today is using analytics to improve productivity, competitive positioning, market presence, financial investment strategies, price point planning, risk mitigation and many other business factors.
