The Career Bar & Grill is Open for Business!
Welcome to the Career Bar & Grill!What is it?A daily dialogue exchange on Twitter between our blog readers where they provide professional thoughts on a career related topic. How does it work? It's easy. You read one of our questions and echo your naturally conveyed opinion to the rest of the world via Twitter. Here's the process... Step 1: We post a question. Each day, we'll post a question here on and add it to our Twitter stream. Subscribe » to our blog via e-mail or follow us » on Twitter so you can always be updated when we post a new question. Step 2: You post an answer. After reading our question and forming your own thoughts, express yourself using your Twitter account. Don't forget to add the #CareerBG hashtag to your tweet! If you don't have a Twitter account but are finally ready to create one, read » our FREE guide to getting started on Twitter and leveraging it for your career. Step 3: Read other opinions. After updating Twitter with your own response, see what others are saying about that particular question by searching for the #CareerBG hashtag on Twitter Search. Why should I get involved? When you respond to our questions using your Twitter account, you will be building your online personal brand. Owning a virtual presence is essential for any job seeker to land her or his dream job. Just make sure your responses are formulated in a positive manner! Photo credit: Shutterstock
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Data analytics concept
One of the pillars of an exemplary data management and governance program is data literacy. Organizations often assume that their executives or data users are not data literate and don't understand how to ensure data is of quality and how everyone has a role in creating and managing data. Internal branding about how data helps management make better decisions has been around for a decade. But to go from data to information and knowledge, data literacy is not enough for the clients of data analytics practitioners. Business data analytics users need accurate multi-disciplinary skills to ask themselves what the data tells us and where and how these insights can be applied.
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