White Paper – Generative AI (GenAI): The Benefits and Application of AI in Analytics

White Paper – Generative AI (GenAI): The Benefits and Application of AI in Analytics

If your enterprise wishes to consider AI in analytics, and plan for its future potential and growth, it is wise to first understand the state of the technology today, the various ways in which AI can inform and improve analytics for your business, the factors you will need to consider to choose the right analytics solution and the things your business should include in its vendor and solution review.

Analyze, Report, Publish and Share with BI Reporting!

Get Easy-to-Use, Elegant BI Reporting Designed for Business Users!

So you are dreaming of a business intelligence solution that will bring together all the data in your enterprise and make it easily accessible for analysis and now it’s time to look at BI tools and solutions. For starters, you’ll want self-serve business intelligence. You don’t want to have to deal with restrictive dashboards and environments designed by your IT team. Your IT team certainly means well, but they can’t possibly imagine all the ways you’ll want to use the system, so you want something that is flexible enough for YOU to use the way YOU need to use it today – a solution that will accommodate what you will need tomorrow too!

Compete at a Higher Level with Self-Serve BI Tools!

Put the ‘I’ in Business Intelligence with BI Democratization!

If you think Business Intelligence solutions are just for business analysts, data scientists or IT professionals, you are missing the real intent of business intelligence. Business Intelligence is, by its nature, supposed to inform the business and make it easier to make the right decisions and drive your business forward but if 90% of your users have no access to real, clear information, you are missing most of the advantages and tying up your team in red tape, delayed decisions and endless requests for information. You are shackling your analysts, data scientists and IT team by burying them under those requests for information and using precious time they might be spending on strategic and crucial initiatives.

Business Intelligence Reporting for Business Users!

Imagine BI Tools and Reporting that Offer Personalized Views and Clarity!

One of the most important capabilities of a Business Intelligence Solution or BI tool is the ability to provide reports, both for the user who is leveraging the tool and for teams, managers and executives who want to share or make decisions based on fact-based information.

What Are Citizen Data Scientists and Can They Improve the Quality of Business Intelligence?

What Are Citizen Data Scientists?

Citizen Data Scientists represent a new breed of business analysts – a group of individuals with diverse business responsibilities and training, who wield sophisticated analytical tools, and employ complex methods of analysis to improve business results – all without the training or assistance of data scientists or IT team members. Citizen Data Scientists are business users who leverage the knowledge and skill they have developed through professional training and business roles to navigate business intelligence and advanced analytical tools to answer business questions, identify trends and patterns and develop new competitive strategies to support business decisions.

Get the Right BI Tools and Make Business Users Happy!

Want to Improve Data Literacy and Data Democratization? Use the Right BI Tools!

When you want to democratize data and help your business users function at a higher level; when you want to improve the quality of decisions; when you want to optimize the analytical and data scientist resources you have and make them more productive, you have to look at the business intelligence solutions that are designed to support every team member. Most of your team members are professionals with specific knowledge and that knowledge should be giving you a market advantage and should be dedicated to doing the job and filling the role you need the team member to fill.

How Can I Move From BI Tools to Augmented Analytics?

From Business Intelligence to Augmented Analytics: Tips for a Crucial Transformation

As business intelligence solutions and BI Tools evolve into Augmented Analytics, business users can achieve valuable insight and take appropriate action to optimize resources and enable continuous improvement. As Gartner has predicted, the market is responding to business needs by transforming business intelligence tools into sophisticated Advanced Analytics that are easy-to-use. These augmented analytics solutions support the needs of the average business user, improve productivity and collaboration, and assure data democracy and Data Literacy across the organization.

Out-of-the-Box Mobile BI Tools!

Choose a Mobile Business Intelligence Solution for Your Business Users!

No software solution should be limited to desktops in today’s mobile environment. To make your team productive, you need to allow them to be mobile with all the important tools they use and there is no single crucial example of this that is more appropriate than business intelligence. If you want your business users to embrace and leverage self-serve business intelligence solutions, you need to be sure the solution you select is portable.

What is Augmented Data Preparation and Why is it Important?

The average business user does not have a full grasp of Advanced Data Discovery or Data Preparation methods, and most organizations would not want business users to waste precious time trying to navigate the complexities of a manual data preparation process. If a business provides a solid foundation for self-serve business intelligence with augmented data preparation features, business users can quickly and easily prepare data for analysis and get the results they need to move forward and make decisions.

Self Serve Data Preparation: No Skills Required!

Self Service Data Preparation Takes the Complexity Out of Data Prep!

When asked about using an analytical solution to find and use data and make decisions, many business users feel insecure about the process required to get to the results. Data preparation has traditionally been the domain of a data scientist, a business analyst or an IT professional.