Now that you (and your team) have access to analytics tools, you want to make the best use of these tools. You want to share analysis with others, use that analysis to explain concepts and conclusions in a presentation, and clearly see the root cause of a problem, the opportunity you can leverage and the trends and patterns you need to understand in order to do your job.
If you are trying to convince your executive management or IT team of the benefits of augmented analytics, you really don’t have to look far for support. Augmented analytics benefits are numerous and, while some benefits are self-evident, many are more subtle and will be uniquely effective within you own enterprise.
The benefits of advanced analytics are many and with augmented analytics support, the benefits are even more numerous.
When a start-up or small business looks at its budget and resources, it often concludes that, while data analytics is important to its business, data analytics tools may be too complex, too sophisticated and too expensive to include in its initiatives and programs.
Let’s talk about data preparation! That often cumbersome, always complex process by which data scientists and IT professionals gather and prepare data for analysis. Data prep involves the extraction and transformation of raw data to prepare that data for analysis. It includes cleaning and reducing that data by removing outliers and standardizing data formats, among other things. Without data preparation, data analysis can often be misleading and incorrect – garbage in/garbage out, if you will.
We all understand the value and innovation inherent in natural language processing (NLP). Think about the ease of searching for the answer to a question on Google. Users with average skills can ask a question and get an answer, a list of search results that address their interests and support and assistance to take the next step.
How does an organization help the self-serve advanced analytics model grow and thrive? Responsibility lies in a number of places within the enterprise.
I hope you would agree that every team member in your business is an important and valuable resource. When we talk, in the tech world, about self-serve apps and the concept of cascading analytics to everyone in the organization, managers and team members start to get nervous.
If you read industry and technology journals, you have probably seen the term, ‘digital transformation’. So, what is digital transformation Gartner asked, and here is what the Gartner glossary of terms says about that: ‘Digital business transformation is the process of exploiting digital technologies and supporting capabilities to create a robust new digital business model.’ So, that is the digital technology business definition and that definition will translate differently for every organization in terms of where the enterprise will begin to focus the transformation process and how it will get to its goal.
