The use of business intelligence and business analytics is growing in every industry, business function and in companies of every size. 48% of small and medium sized business CIOs responding to a Gartner survey revealed that business intelligence (BI), data and analytics is one of the technology areas that will have the largest amount of new or additional spending.
Tag: Augmented Analytics Benefits
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.
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.
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 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?
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.
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.
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.