Business intelligence and analytics is not just for data scientists or IT professionals anymore. If your business is going to be successful, it must compete and it must solve problems, find opportunities and plan with accuracy. There is no time for a misstep in the market!
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.
Whether we know it or not, we use Natural Language Processing every day. It makes it easier for us to interact with computers and software and allows us to perform complex searches and tasks without the help of a programmer, developer or analyst.
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.
The successful implementation of an augmented analytics solution for business users is not just about choosing a cost-effective tool and completing a timely deployment, nor does the process stop with training. In order to get business users to embrace and adopt self-serve augmented data discovery tools, the enterprise must approach the implementation with appropriate change management processes.
The concept of advanced analytics can seem out of reach for many businesses. Business execs and managers often picture a team of data scientists and IT staff busily analyzing data and, included in that picture, they imagine the bags full of cash required to fund that team of professionals.
