Data drives decisions and, in today’s competitive business environment, the kind of fact-based decisions achieved through Advanced Analytics are mandatory. These data-driven decisions ensure that a business does not make a misstep or have to guess at forecasts, plans and the root cause of problems.
What is Augmented Analytics and Can it Benefit My Business?
What is the difference between analytics and augmented analytics? The simple answer is this: augmented analytics provide sophisticated analytics tools in an easy-to-use environment that offers guidance and recommendations, and a natural language processing (NLP) interface that makes it possible for every business user to leverage the solution, no matter their technical or analytical skills or experience.
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.
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.