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.
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.
Looking for a Great BI Tool? Compare Gartner Recommendations to Your Own Needs!
When a business is looking for a business intelligence vendor, business managers will often look to a Gartner Magic Quadrant Report for a comparison of BI Tools. There are numerous choices listed in Self-Service BI Gartner reports and it may be difficult to determine which is best for your business.
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.
Start-Up, Small Biz? You Too Can Enjoy Business Intelligence and Analytics!
Every business has its unique needs, competitive strategy and challenges. But, not every business understands these factors or has the ability to make fact-based decisions. Even the smallest businesses deal with a lot of data every day and, while they may feel that they don’t need analytics, this oversight can mean that they do not consider all the data they have when they make a decision or that they tend to make decisions based on opinion or ‘gut feel’.
What is Self-Service Data Preparation & Can it Provide Actual Business Results?
Let’s cut to the chase! Results are everything and when you think of a task like preparing data for analytics, that task does not seem to have a direct connection to results. Or does it? Renowned technology research and analysis organization, Gartner, predicts that data and analytics organizations that provide agile, curated internal and external datasets for a range of content authors will realize twice the business benefits as those that do not.
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.