Are your business users trying their best to leverage advanced analytics tools, only to find that the software solution requires them to be an expert in data science? Do your users have to ask IT to professional analysts for data preparation assistance in order to ensure that they can access, prepare and use the data they need to analyze.
Data discovery is not data management. If one is to make the right decisions in business, one must engage in data exploration and data profiling. In other words, one must gather, prepare and analyze data to truly understand how the business is working, what must change, what activities and tasks support the goals of the business, and what the business should anticipate in the future in terms of revenue, risk, resources, financial investment, growth, products, location and all other aspects of business.
If you want to include predictive analytics and forecasting in your planning process, there are numerous analytical techniques and algorithms at your disposal.
I won’t lie to you! The benefits of augmented analytics that includes self-serve data preparation for business users…well, those benefits are truly impressive! So, let’s cut to the chase. With self-serve data preparation tools, you can:
It is hard to overstate the benefits and advantages of advanced analytics. If an enterprise takes the time to review and document requirements for an advanced analytics solution and chooses wisely, it can improve its bottom line, optimize competitive strategies, plan for new products and pricing initiatives, establish marketing channels and messaging for target markets and customers and plan for resources, training, financial investment, supplier and partnership opportunities and more.
Smarten, an advanced analytics service provider, has announced that it will act as a Silver Sponsor for the Gartner Data & Analytics Summit 2019, June 10 through June 11 in Mumbai, India where it will demonstrate its Smarten Advanced Analytics solution and its product roadmap for the future of the Smarten Augmented Analytics product suite.
If you are implementing a data democratization project and you want the most sophisticated, easiest advanced data discovery solution so your business users can get the most out of the initiative and add the most value to the enterprise, you definitely want to look at a data discovery tool that provides augmented analytics.
The importance of data analysis cannot be overstated, but if the enterprise does not choose the right data analysis tool, it will not achieve its potential and it is likely to frustrate the business users who are now expected to participate in the analytical process.
When it comes to using Predictive Analytics and a self-serve augmented analytics environment, businesses often want to sell the management team on these tools by suggesting real-world use cases that reflect the needs of the organization and illustrate how advanced analytics can help business users and the organization at large with accurate, efficient insight into the planning and forecasting process, and the ability to identify trends and patterns, understand target custom buying behavior, predict fraud and loan default, combine internal and external data analytics, manage quality, improve demand planning and marketing processes and manage human resource attrition.
To make the most out of online marketing, every organization must target the customers with the most promising profile. Businesses must understand what makes customers click on an ad, and what will compel them to make a purchase. Who is most likely to purchase your product or service? Where do they live, how old are they, how many children do they have (if any), what is their annual income, and what interest or driving force is the best fit for what you have to offer?
