Augmented Analytics Solution: Pass or Fail?

Choose an Augmented Analytics Solution Your Business Users Will WANT to Adopt!

Your senior management team has decided to engender digital transformation and improve data literacy across the enterprise. As a primary step in this process, the team wants to implement an augmented analytics solution that will encourage business users to get involved in data analytics, to use data to make fact-based decisions and to present, report and collaborate using real, current and clear information that will support collaboration and improve results.

Four Important Advantages of Apache Spark!

Spark is a distributed open-source cluster-computing framework and includes an interface for programming a full suite of clusters with comprehensive fault tolerance and support for data parallelism. Spark can be used effectively to provide support for Java, Scala, Python and R programming and is suitable for SQL, streaming data, processing graphs and for machine learning.

Business Users Can and Will Adopt Self-Serve BI Tools!

Choose the Right Self-Serve BI Tools and Ensure User Adoption!

When your business users are asked to take on yet another responsibility, they are likely to balk. Most companies are short-handed and expect more of their team members than ever before. There are a lot of good reasons to initiate data democratization and engage in digital transformation to modernize and improve the enterprise and to improve results. If the business can encourage data sharing and collaboration, it can also improve the shared knowledge of the team and create accountability and empowerment. In so doing, the business can leverage the knowledge and skill of each team member and ensure that every business user is working to their full potential with the all the information they need to solve problems and to capitalize on opportunities.

Smarten Launches Clickless Analytics Natural Language Processing (NLP) Search Analytics for Business Users!

Smarten announces its Smarten Clickless Analytics, a Natural Language Processing (NLP) Search Analytics tool designed for every business user, no matter their technical expertise or data skills. Natural Language Processing Search Analytics (NLP) is an easy-to-use search analytics technique that allows business users to create complex searches without endless clicks and complex navigation and commands. Using this familiar Google-type Clickless Analytics, users can leverage these tools to discover trends and patterns, receiving results in simple, clear language the user can understand.