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?
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.
Smarten is pleased to announce SmartenApps, its newest addition to the Smarten augmented analytics suite of offerings. The Smarten: eCommerce Analytics for Shopify by Elegant MicroWeb is an augmented analytics and reporting solution integrated with Shopify eCommerce.
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.
If you are thinking that business analytics is too complex for you (or your business users), you may want to take a step back and look at the exciting evolution of business analytics tools. Today’s business intelligence solutions and business analytics software offer easy-to-use tools and features that are suitable for business users at every skill level.
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.
Advanced Analytics is the new frontier of competition and business success. While some businesses have the luxury of employing data scientists and professional analysts to help them sift through and analyze data, others do not have the budget or the structure to support these roles and, even those who employ professional data scientists do not have unlimited resources or budgets.
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 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.
