Small and medium sized businesses (SMEs) are often challenged to satisfy all the roles and responsibilities in the organization and most team members wear more than one hat. That feeling of being overstretched is typical of growing businesses and, in an increasingly competitive market with businesses fighting for skilled resources, it is difficult to meet budget and scheduling goals and get it all done.
Tag: Augmented Analytics
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.
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.”
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.
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.
Natural Language Processing (NLP) may not be a term that everyone is familiar with but all consumers and business users are certainly aware of its power. You use natural language processing every day when you perform a search in Google using questions written in the same way one would speak or write to another person. Whether you know it or not, you are using NLP to process, interpret and return results that meet your criteria.
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.
Our Partner is a healthcare service provider in the United States providing a web-based, patient-centric, healthcare management solution and workflow solutions to increase operational efficiency and reduce costs for its hospitals and healthcare facility Clients. Since 1999, the Partner has provided services to the durable medical equipment and supply market with solutions that benefit many healthcare organizations and clinics in the U.S.
The Client is one of the largest Rural Fintech companies in India with more than 700,000 Rural Entrepreneurs and services to benefit 100 million consumers. The Client business is currently growing at 150% year over year with a transformative impact on digital, financial, and e-retail services across rural and semi-urban regions.
Predictive Analytics That is Easy Enough for Any Business User!
Predictive analytics may seem too complex for business users but with advanced technology like machine learning and features like assisted predictive modeling users can dive into the process without the skills of an IT professional or a data scientist. Assisted predictive modeling frees the user by providing system recommendations that will suggest the right analytical technique and achieve the best fit for what the user wants to do, ensuring that they use the most appropriate algorithm for the data they wish to analyze.
