Small and medium sized businesses (SMEs) often find it difficult to balance the day-to-day need for data with the cost of employing data scientists or professional analysts to help with forecasting, analysis, data preparation and other complex analytical tasks.
Augmented Analytics is Designed for Business Users So Analytics is Easy for All!
When a business decides to undertake a data democratization and data literacy initiative, it is important to recognize that not all advanced analytics solutions are created equal. Business users who are expected to take on the task of analytics, will need an augmented analytics solution that can support their needs. They aren’t data scientists. They aren’t business analysts. They are business professionals who will want to use an analytics solution that can give them sophisticated output and information. It has to be easy enough to use without the need for assistance by IT or data scientists and it has to be a solution that can be personalized to produce reports and analytics that are easy for each user to leverage to make decisions, solve problems and identify opportunities.
Please Don’t Make Me Think About It: Self-Serve Data Prep Really IS for Everyone!
If you are an average business professional, your eyes probably roll back in your head when you hear terms like data preparation, data extraction, transformation and loading, otherwise known as ETL, or any other term that makes you think of a pile of rubble you have to sift through to find what you need. How and why would you ever want to dive into that pile?
Augmented Analytics is the Secret Weapon for Competitive Advantage!
How do you compete? There are probably other businesses in the market that do what you do but your product or your services must stand out. How do you take all the data you collect on a daily basis and use that data to your advantage to point you in the right direction?
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.
Is the Idea of Data Warehouse and Data Analytics Overwhelming You?
If your business is struggling to manage big data and data from disparate sources, your team should focus on several key areas. First, you will want to review your datawarehouse (DWH) capabilities. If those capabilities are not cutting-edge, you should consider a review and re-engineering of this area of your infrastructure to be sure your growing data needs can be satisfied so that your team is not overwhelmed or swamped with information.
The average business user does not have a full grasp of Advanced Data Discovery or Data Preparation methods, and most organizations would not want business users to waste precious time trying to navigate the complexities of a manual data preparation process. If a business provides a solid foundation for self-serve business intelligence with augmented data preparation features, business users can quickly and easily prepare data for analysis and get the results they need to move forward and make decisions.
Self Service Data Preparation Takes the Complexity Out of Data Prep!
When asked about using an analytical solution to find and use data and make decisions, many business users feel insecure about the process required to get to the results. Data preparation has traditionally been the domain of a data scientist, a business analyst or an IT professional.
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).
Why Do I Need Self-Serve Data Preparation?
Why would your business need Self-Serve Data Preparation? Perhaps you have a team that includes IT professionals that can prepare data for analysis or maybe you have a business analyst or a data scientist to serve that need. But, there are plenty of good reasons to consider data preparation tools that are easy enough for every team member to use.