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How to create #1 Business Intelligence Bot
You should embrace the potential of business intelligence bots and learn how to construct them if you want to transmit critical information to decision-makers in the simplest and most effective way possible.
The Business Intelligence bot applications provides insights based on Key Performance Indicators (KPIs) at your fingertips and is intuitive and visually pleasant method to consume data via messaging platforms. They allow presenters to interact with real-time data directly from corporate systems or databases and you don't need to waste a time for routinely create more and more dashboards.
Most of the Business Intelligence Bots suppliers rely on Natural Language Processing (NLP) to Structured Query Language (SQL) transformation technology, that could be easily configured as per your need using our platform. Moreover, you don't need to code a sigle line of code in order to provide your company employees the ultimate tool for real-time data access within your corporate …
How to use VLOOKUP for API?
Along the way of our commercial B2B SaaS product development, that empowers frontline employees with intuitive text interface to poorly-accessible corporate data to inform and speed business decisions with significant benefits for enterprises,
WE created a lot of useful and powerful software tools for testing apart of our main product. For example we've created VBA Excel function VLOOKUPWEB, that works same as VLOOKUP but for API JSON format responses.
You can use it for free. Source code and video tutorial is published on our NLSQL github profile (link below)
More:
NLSQL GitHub profile
Self-service analytics tools examples
Self-Service Analytics is a form of business intelligence (BI) in which line-of-business professionals are given the ability and encouraged to run queries and produce reports on their own, with minimal IT assistance. Simple-to-use BI software with basic analytic capabilities and an underlying data model that has been streamlined or scaled down for ease of understanding and straightforward data access for anyone in the corporate IT ecosystem.
Self-service analytics is becoming more popular, thanks to augmented analytics and positions like data scientists. Implementation best practices show that allowing self-service for data and analytics leaders entails much more than just providing easy-to-use resources.
NLSQL as self-service BI SaaS is a fundamental change underway in how analytics software is evaluated, purchased, and ultimately used. The days of IT-led analytics purchasing are gone, as business leaders are demanding more agile and flexible insight to speed and improve the decision-making process. Today's business environment is …
How to calculate the ROI of a Business Intelligence implementation?
There are a ton of things indirectly related that are hard to specifically say will improve because of BI, but one of the easiest ways would be to look at what kind of manual reporting time it will be replacing.
In our cases, we ended up eliminating the need for tons of different monthly reports being done by different departments. Look at the time it took to make those reports before, and how much it will take afterward and apply cost that way.
ROI (Return On Investments) is good to show the intangible benefits as well. Maybe what was once a monthly report can now be seen daily, allowing management and front-line employees to react more quickly and potentially improve efficiency, make decisions much faster and drive businesses forward faster. Those are definitely benefits, but the innovative project realization depends on strength of the management team.
We prepared our standard …
Advanced Analytics Applications
Advanced Analytics is an autonomous or semi-autonomous data or content examination that uses sophisticated technology or tools to discover deeper insights, make predictions or create suggestions, usually beyond the traditional Business Intelligence (BI).
Advanced analytical techniques include the design of self-service analytics tools for end-users, which could provide end-to-end analytics with drill-down features from multiple data sources.
Advanced analytical techniques include Robotic Process Automation of Business Intelligence, Natural Language Understanding, machine learning, AI planning, matching patterns, precision, data visualisation, semantalyzing, network and cluster analysis, multi-specific statistics, graphic analysis.
In brief, you are not just giving insights into trends and patterns to anyone who asks for data, but you are managing the tools to provide your business user the ability to get poorly accessible corporate data from multiple data sources to inform and speed business decisions with significant benefits for enterprises.