Elegant MicroWeb is pleased to announce that its Smarten Augmented Analytics solution is once again included as a Representative Vendor in the Gartner Market Guide for Data Preparation Tools, published July 9, 2020 (ID G00719343).
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?
Mobile BI and Personalized Dashboards: Important Components of Modern BI!
If your team is using business intelligence (and it should be), you may be working with a more restrictive business solution that is not designed for a business user. If that is the case, you are missing an opportunity to cascade analytics throughout the organization and to optimize your resources and improve productivity. Self-Serve Business Intelligence solutions are designed with guidance and recommendations to guide a business user with average skills through the process of preparing and analyzing data and to encourage collaboration and data sharing across the enterprise.
Business Users Get Instant Help with Machine Learning and Predictive Analytics!
Here’s some good news! If you want to predict or forecast results for your business, you don’t need to be a data scientist, a statistician, a business analyst, or a rocket scientist! Today, augmented analytics solutions provide all the help a business user will need to gather data, prepare it for analysis and then choose the right algorithm or analytical technique to analyze the data and get clear, easy-to-understand results. ###
Predictive Analytics for Business Users = Assisted Predictive Modeling!
Are you tired of using guesswork and opinions to make business decisions? These types of decision-making can be particularly dangerous to your business when they are applied to predicting and forecasting. If you are to be successful in business, you must be able to look into the future and plan for customer demand, new suppliers, inventory needs, financial investment, training and resource requirements, business locations, competitive response, pricing, new products and changes in customer buying behavior – just to name a few considerations!
Self-Serve Data Prep: You Can Have Data Agility AND Data Governance!
When you are considering an augmented analytics solution, you will want to look at the capabilities for self-serve data preparation (SSDP). This functionality allows business users to gather and prepare data for analytics without the help of data scientists, IT or data analysts.
Assisted Predictive Modeling: The Word ‘Assisted’ is the Key!
Assisted predictive modeling! The term sounds complex and intimidating, doesn’t it? But nothing could be further from the truth. The word ‘assisted’ is the key! It is true that without the skills and knowledge of a data scientist or a business analyst, predictive analysis can be a daunting task.
Predictive Analytics Can Be Accurate and Easy!
Predictive analytics is more refined, more dependable and more comprehensive than ever. The foundation for predictive analysis is a great predictive analytics tool, and features and function that include assisted predictive modeling.
Augmented Analytics Tools Designed to Support the Future!
As one of its Strategic Assumptions, Gartner predicted that ‘By 2020, more than 40% of data science tasks will be automated, resulting in increased productivity and broader usage by citizen data scientists.’ Gartner also predicts that the number of Citizen Data Scientists will grow five times faster than the number of expert data scientists through 2020, and that by 2019 the amount of advanced analytics produced by citizen data scientists will surpass that produced by data scientists.
Assisted Predictive Modeling Delivers Predictive Analytics to Business Users!
When we use terms like ‘predictive analytics’, it sometimes puts off the general business population. Team members might envision everything from a crystal ball to complex charts and graphs with unreadable numbers and conclusions. While predictive analytics techniques and predictive modeling does include complicated algorithms.