One of the most valuable aspects of self-serve business intelligence is the opportunity it provides for data and analytical sharing among business users within the organization. When business users adopt true self-serve BI tools like Plug n’ Play Predictive Analysis, Smart Data Visualization, and Self-Serve Data Preparation, they can apply the domain knowledge and skill they have developed in their role to create reports, analyze data and make recommendations and decisions with confidence.
Tag: Advanced Data Discovery
Whether your business is a small, single location brick and mortar enterprise or a large, multi-facility organization that spans the global market, you need access to sophisticated, easy-to-use business intelligence tools in order to compete in local, regional and global markets.
Augmented Analytics Benefits Include NLP for Easy Analysis!
Everyone has heard the term ‘natural language processing or NLP. So, what is natural language processing, exactly, and how can it help your business? NLP allows a program or software to understand language as written/spoken by humans so that people can interact with a system without using long strings of code. You use natural language processing every day when you engage with your word processing software to perform spell check, when your smart phone auto-corrects your words, when you use voice to text messaging, when your email system applies a spam filter, when you are served keywords that relate to a search you did on a search engine and when you use ‘assistants’ like Siri or Alexa.
Is Augmented Data Discovery Easy Enough for My Business Users?
A data discovery tool is a crucial tool for every business user in your organization. With so many sources of data, in so many locations with your enterprise, it is impossible for users to know whether they have access to complete, accurate data to make decisions.
SSDP (otherwise known as self-serve data preparation) is the logical evolution of business intelligence analytical tools. With self-serve tools, data discovery and analytics tools are accessible to team members and business users across the enterprise.
Whether we know it or not, we use Natural Language Processing every day. It makes it easier for us to interact with computers and software and allows us to perform complex searches and tasks without the help of a programmer, developer or analyst.
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!
One of the most common excuses used to avoid data democratization and self-serve augmented data discovery is that the organization cannot guarantee data integrity and that, if business users have access to dated, incorrect or incomplete data, the resulting decisions will not be better but rather worse than the decisions made today. Further, this theory says that the distribution of this inaccurate data will have a systemic effect on truth and promote disastrous business decisions. There are several mistaken assumptions in this theory, and several ways an organization can guarantee success in a data democratization initiative.
What is Advanced Analytics, and How Can it Help My Business?
What is advanced analytics? Where to start? Advanced analytics takes analysis to the next level by providing sophisticated techniques designed to get to the heart of data and offer insight and answers with which businesses can make more accurate decisions and develop more dependable, accurate plans and forecasts. Advanced Analytics includes predictive analytics, smart data visualization, and other components.
Is Advanced Analytics Right Easy Enough for My Business Users?
The benefits of advanced data discovery do not have to be limited to data scientists or IT staff. If you choose the right data discovery tool, your business users can enjoy the benefits of confident business decisions, shared analytics and a common approach to, and understanding of, data-driven, fact-based metrics and results.
