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Big Data: The Knowledge Pool as Decision Support

Lately, many companies are busy dealing with the so called Big Data. It has become the buzz word of 2012. According to a recently published study, about 30 percent of the 9000 biggest companies of the World have a Big Data project in progress. The term Big Data describes vast and complex data sets of web logs, social networks, large-scale e-commerce and many other. All of the involved companies are looking for ways to analyze and evaluate these piles of information: faster and better decision making, an even more efficient business process as well as the potential advantages over competitors. innovation4 For example, Die Deutsche Welle, Germany’s international broadcaster, uses Big Data to analyze the user behavior on their website, Walmart gathers over 1 million customer transactions per hour into databases that right now already have more than 2.5 petabytes of data, and the German retailer Otto optimizes their warehouse management thanks to Big Data. The gathered knowledge of your own employees can also be described as Big Data – every person has countless elements of knowledge that, if put together, build an image similar to a mosaic. With Social Decision Support™ companies can gather the collective intelligence of their employees and evaluate it easily. This knowledge-pool can be used in multiple fields:
  • S & OP
  • Risk Management
  • Idea Evaluation
  • Competitive Intelligence
  • Shared Management Culture
Companies like Henkel, Deutsche Telekom and Zeppelin Rental are already using Social Decision Support™ to process the amassed knowledge of their employees into business KPIs that generally improve the whole decision making process. About Social Decision Support: Social Decision Support™ is a crowdsourcing-based  tool for enterprises. Instead of using an external crowd, the participating users are an internal resource – employees. By using this tool managers can gather the collective intelligence of the participants and recalculate it into one single KPI. Due to the improved knowledge base, decisions can be made earlier and more efficient, raising the competitiveness of the company.  
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