Self-Serve Data Preparation Improves Results!

Include Self-Serve Data Preparation in Your Augmented Analytics Solution!

Gartner predicted that ‘…data preparation will be utilized in more than 70% of new data integration projects for analytics and data science.’ If your business is not already including this approach in analytics and decision-making, it is missing a crucial link to success. Self-serve data preparation and augmented analytics solutions are now more popular than ever. By democratizing data and improving data literacy, the business can do more with less. But the sheer volume of data within an organization can be challenging.

The Value of Tally ERP Web-Based Accounting Analytics!

Web Access to Accounting Analytics Reporting is Crucial to Business Success!

The Accounting Research Center and Continuous Auditing & Reporting Lab at Rutgers University stated that, “The audit profession is leveraging technology and electronic information to expand the auditor’s ability to access and analyze vast amounts of information.”

Include Mobile BI in Your Augmented Analytics Requirements!

What Are the Advantages of Mobile BI and Augmented Analytics?

A recent report revealed that by, 2028, the Augmented Analytics market is projected to reach USD 46.26 billion at a CAGR of 24.30%. The business intelligence solution market has evolved into augmented analytics and these solutions designs have progressed to support average business users with simple solutions that combine sophisticated analytical techniques and algorithms with easy navigation, reporting and insight.

Include Embedded BI into Your Business Applications!

A recent survey found that 93% of application teams report improvement in user experience as a result of embedded analytics, and 94% of teams report improved customer satisfaction with embedded analytics. The concept of embedded BI is simple. By leveraging APIs, the augmented analytics solution is embedded within familiar enterprise apps and made available to users via single sign-on so that the user can access  favorite software solutions and applications to perform tasks and use the data contained there to analyze data and make decisions.

Why Should I WANT to be a Citizen Data Scientist?

3 Benefits of Making the Transition from Business User to Citizen Data Scientist!

If you are a business owner, executive or manager, you have already heard about (and are probably implementing) strategies for Citizen Data Scientists. If you are a business user, you may be hearing rumblings of this in your everyday work and wondering exactly what this type of initiative means for you and why you should consider it beneficial.

How Can I Improve Business Intelligence and Augmented Analytics ROI and TCO?

Business managers, owners and senior executives really want to do the right thing! The goal is always to improve the business, to hire the best staff and to satisfy customers and partners. To do that, the business must build a foundation of business processes, policies, technology and software that will support goals and objectives and make it easier, more timely and more efficient to perform tasks and complete activities.

How Can NLP Help My Business Implement Self-Serve Analytics?

What is Natural Language Processing and Why Do I Need it in My Advanced Analytics Solution?

What is Natural Language Processing (NLP)?

Natural Language Processing utilizes artificial intelligence to translate computer code and language into real world, human language. While the goal is to simplify human interaction with computers, NLP is a complex mix of computational linguistics and computer science. When a business is considering an augmented analytics solution that leverages natural language processing, it need not concern itself with the complicated underpinning of code and design, but should rather consider what NLP can do for its users and for its business results.

How Can I Succeed with a Citizen Data Scientist Initiative?

What Determines the Success of a Citizen Data Scientist Initiative?

By now, every wise business team has acknowledged the advent of digital transformation and the transformation of business users into Citizen Data Scientists. But acknowledging the reality and enabling that reality within the walls of an enterprise are two very different things. Where many businesses fail in implementing the Citizen Data Scientist initiative, it is typical to find that the business has simply decided to deploy the strategy without much planning or culture change. Without understanding the shift in workflow, responsibilities and how the use of data will change the enterprise, it is unlikely that the business will succeed in its Citizen Data Scientist initiative.