You Can Have Advanced Analytics AND Augmented!

Shopping for Advanced Analytics? Get Self-Serve Augmented Analytics and Succeed!

There are a lot of business intelligence and analytical tools on the market today and if your business has recognized the need to implement this type of solution for self-serve analytics among business users, it is important to understand the advantages of augmented analytics. Advanced analytics benefits are numerous but, when a business chooses augmented analytics tools, it can ensure that its business users have full access to analytical features and sophisticated techniques without having to learn complex systems and without having to acquire data scientist skills. That ease-of-use takes advanced analytics advantages to the next level by democratizing use and allowing for digital transformation and increased data literacy across the enterprise.

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.

From Business Intelligence to Augmented Analytics: What and Why

Augmented Analytics is the Next Generation of BI Tools for Business Users

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.

Augmented Analytics Makes Competition Easy!

Augmented Analytics is the Secret Weapon for Competitive Advantage!

How do you compete? There are probably other businesses in the market that do what you do but your product or your services must stand out. How do you take all the data you collect on a daily basis and use that data to your advantage to point you in the right direction?

DWH and Augmented Analytics Simplifies Info Management!

Is the Idea of Data Warehouse and Data Analytics Overwhelming You?

If your business is struggling to manage big data and data from disparate sources, your team should focus on several key areas. First, you will want to review your datawarehouse (DWH) capabilities. If those capabilities are not cutting-edge, you should consider a review and re-engineering of this area of your infrastructure to be sure your growing data needs can be satisfied so that your team is not overwhelmed or swamped with information.

What is Auto Insight? It Is Analytics Made Easy!

Auto Insight Can Help Business Users Analyze Data at the Touch of a Button!

When you are trying to implement a data democratization initiative and give your business users access to analytics, you can run into roadblocks with analytical tools and solutions that are too difficult for the average skills of a business user. It is impossible to achieve your goals and ensure that every user is comfortable with data analytics and fact-based decision-making if you don’t give your users a tool that they can use as easily as they use Google or other familiar search mechanisms.

Predictive Modeling Is Not the Sole Domain of Analysts!

Assisted Predictive Modeling Lets Business Users Plan & Forecast with Confidence!

When businesses take on the task of forecasting and planning, it is important to provide the tools to go through this process at all levels with data integrated from the various systems and databases across the enterprise and to provide simple tools for all users that can be adopted and used to take on the various tasks and responsibilities involved in planning and accurate forecasting.

Digital Transformation Requires Commitment and Five Points of Integration

Whether a business addresses or ignores the Digital Transformation movement, it is here to stay and Dx will change markets and competition. If a business truly wants to embrace Dx, it must be willing to take the necessary steps and engage in a review that touches all corners of the organization. To plan and execute a comprehensive, effective Digital Transformation (Dx) project, the business must consider five points of integration including Technology including Infrastructure, Software, Hardware, Network, Mobility, Enterprise Culture including Process and Analytics, Team Members, Suppliers, Partners, Vendors and Stakeholders, Customers

Augmented Analytics and ETL Tools for Business Users!

How Can Business Users Prepare Data and Perform Analytics?

Can Business Users Really Figure Out Data Prep and Analytics?

It is a great idea to get your business users involved in analytics and to encourage and build data literacy in your enterprise but one of the things that often stops an organization from implementing self-serve analytics is the need to gather and prepare the data for analytics. How can IT or data scientist staff turn over day-to-day analytics when data is spread across the enterprise and it is so difficult to integrate that data and prepare the data for analytics?