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Showing posts with the label Citizen Data Scientist

Pain points in Data Analytics Implementation

Now a days, data of an enterprise said to be an asset. It is termed as next “OIL” .  Since enterprises are digging for the data, it may be reason to name it! There are many process are driven by data!  Data is used to take decisions! Many more incidents and claims are happening in the business world.  What is reality? Or What is actually happening in this data world or world of data? Many brands invested into these tools and awaiting for the return on investment. ROI . Yes, data is truly big and happening word, however, it is not defined clearly! There are many pain points that should be addressed. There are many analytics options and one must put a big effort to choose. There are several technology related problems that we hear over and over from brands trying to leverage analytics to drive continuous, data-driven improvement across the enterprise.  In this post let us discuss the pain points (No specific order!) 1) Single way process. Frequently, analysis is undert...

What is an Analytics Translator and Why is the Role Important to Your Organization?

Today, enterprises recognize the critical value of advanced analytics within the organization and they are implementing data democratization initiatives. As these initiatives evolve, new roles emerge in the organization. The newest of these analysis-related roles is the ‘ analytics translator ‘. As the enterprise considers the relevance of this new role within the business, it is important to understand the responsibilities of an Analytics Translator, and how this role might help the organization to achieve its goals. What is an Analytics Translator? The Analytics Translator is an important member of the new analytical team. As organizations encourage data democratization and implement self-serve business intelligence and advanced analytics, business users can leverage machine learning, self-serve data preparation, and predictive analytics for business users to gather, prepare an analyze data. The emerging role of Analytics Translator adds resources to a team that includes...

Analytics Translator? Citizen Data Scientist? What is the Difference?

Analytics Translator? Citizen Data Scientist? What is the Difference? There is a new business role on the horizon and, at first glance, it may seem very much like a role that was introduced a few short years ago. This new enterprise role is known as an  ‘Analytics Translator’  and, while there is some confusion regarding the distinction between this role and the newly minted  Citizen Data Scientist  or  Citizen Analyst , there are some subtle but important differences. In a previous article ( What is an Analytics Translator and Why is the Role Important to Your Organization? ), we discussed the definition of an Analytics Translator. Here, we will discuss the role of Citizen Data Scientist and Analytics Translator and how they differ. To understand these roles, let’s look first at the somewhat more familiar role of Citizen Data Scientist (AKA Citizen Analyst). What is a Citizen Data Scientist (Citizen Analyst)? Gartner defines a  Citizen D...