data storytelling

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Published By: Oracle Analytics     Published Date: Oct 06, 2017
Business decision making is undergoing a data-infused renaissance. Organizations are tired of the limitations of spreadsheets and dealing with long IT business intelligence (BI) development cycles just to gain access to the data they need now. Fortunately, with the advent of visual analytics and discovery tools (many offered in the cloud), the journey to data insight is getting simpler and faster. Rather than trying to divine meaning from a group of predefined reports or simple static dashboards, visual analytics helps users gain insights from data more quickly using intuitive data visualization. Increasingly, visual analytics tools provide easy-touse data preparation features for better data access. They support collaboration, mashups, and storytelling. TDWI Research sees growing interest in applying more modern, up-to-date tools for working with data.
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Oracle Analytics
Published By: IBM     Published Date: Jun 04, 2018
"Today’s business users want to use all types of data to create compelling, shareable visualizations. But charts and graphs alone may not convey all the information, especially when they are part of a complex series. An audience can best understand analytic results when those results tell a story that connects all the pieces together. The right visuals can also reinforce the lessons buried in the data. Stories are powerful mechanism to communicate with people. Stories stick and make insights actionable, so it goes without saying that storytelling is a very powerful (soft) skill. In this webinar, you'll learn how to effectively apply storytelling best practices to get your message across. Especially in the world of BI, it is getting more and more important to effectively communicate business results. Watch this webinar to learn how to use IBM Cognos Analytics to: · Create the important elements of a good story · Put the data in context · Select the best type of ch
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data analytics, data storytelling, business intelligence
    
IBM
Published By: IBM     Published Date: Mar 28, 2016
Five years ago in a Harvard Business Review article on how companies leveraged HR analytics for competitive advantage, my co-authors and I found only a small handful of companies to interview. Today, life is very different. Interest in analytics and storytelling through data in HR is booming. But, HR as a whole is still learning how to set up an effective analytics function. That is why I welcome this report. The first 100 days of any effort is critical to success. Analytics is no different. Lead authors of this report and the people they have interviewed have sat in analytics roles in HR. They’ve learned a lot about what works and what doesn’t. Here’s an opportunity to learn from those who have already undertaken this particular journey. They know that to succeed in analytics one needs to: • Focus on business priorities • Leverage your analytics through storytelling • Use analytics to help inform decision making, not as a substitute • Understand that perfect data isn’t required for a
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ibm, workforce analytics, ibm smarter workforce institute, human resource technology
    
IBM
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