NEW YORK— Last November 10, the meetup called Data Science & Analytics for Communications Industry showed us how IBM Watson Analytics is making it easier for business professionals to analyze data and extract insights for businesses across data intensive disciplines, including marketing (social media and networks), sales, operations, finance and human resources.
Host Rachel Wells showed us how Watson Analytics works a smart-data discovery tool with guided data exploration, automated predictive analysis, dashboard creation and visualization service. It is designed to help different professionals -- from salespersons to company CEOs – find patterns and pursue ideas for their business.
In collaboration with industry partners, its new data discovery models called Expert Storybooks is aimed at helping guide users on how to understand, learn and reason with different types of data sources to surface the most relevant facts and uncover patterns and relationships for predictive decision making. Examples of the types of Storybooks IBM will make available are as follows:
Instead of fumbling over data, searching for answers or testing hypotheses, the Watson Analytics user can focus on understanding the business and effectively communicating results to stakeholders. Business users often struggle figuring out what analysis would be relevant and how to tell the story in a report or diagram. Watson Analytics automates these steps to accelerate users’ ability to get to the answers quickly and on their own.
As users interact with the results, they can fine-tune their questions and the data to surface the most relevant facts and uncover unforeseen patterns and relationships, which will enable predictive decision making for all levels of users.
However, Wells is quick to point out the differences between IBM Watson, which means the whole process of reasoning which does its full A to Z job, while IBM Watson Analytics is all about helping anyone explore data easily.