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.
How to empower employees to make decisions?
Fully empowered employees make good decisions, resolve problems and drive businesses forward faster. We look at how different leadership and management styles can help them succeed.
A McKinsey Global Survey found that decision-making takes up 70 percent of management's time. The average Fortune 500 company typically equals more than half a million days of managers' time. A majority of respondents to the survey said that their organizations do not spend that decision-making time well. As business becomes ever more complex and dynamic, managers have to make more decisions, under time pressure, and often with too little or the wrong kind of data, the respondents say.
Organizations should treat different types of decisions differently to make the best use of their time on operational decisions. The McKinsey survey was based on a survey of more than 1,000 business leaders across the U.S. and Europe.
We’ve written about the value of classifying …
Introducing the Microsoft Teams NLSQL Chat-GPT 4 free App
We are excited to announce the launch of our innovative Microsoft Teams Chat-GPT 4 free App, a game-changing addition to your collaboration toolkit. This state-of-the-art AI-driven solution seamlessly integrates with Microsoft Teams, empowering users to access quick and accurate answers to their questions and spark new creative ideas.
At the core of the Chat-GPT 4 App is its ability to assist users by answering a wide array of questions. Whether it's general knowledge, technical support, or industry-specific queries, the app has you covered. By leveraging the power of ChatGPT 4, users can save valuable time, allowing them to focus on more important tasks.
The Chat-GPT 4 App goes beyond providing answers—it also serves as a catalyst for creative thinking. By understanding user prompts, the app can generate new ideas, brainstorm solutions, or even suggest activities to foster team engagement. This feature is invaluable for businesses looking to drive innovation and …
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