Here are a few good questions to ask your analysts:
Can you tell me something about the source of data you used in your analysis?Are you sure the sample data are representative of the population?Are there any outliers in your data distribution? How did they affect the results?What assumptions are behind your analysis?Are there any conditions that would make your assumptions invalid?
GigaOM HP invests $50 million in Hortonworks, forges big data partnership ZDNet Hewlett-Packard said it has invested $50 million in Hortonworks as part of a broad integration pact aimed at big data analytics customers.
Entrepreneur How to Make Predictive Analytics Work for Your Business Entrepreneur The goal of predictive analytics is to take the guesswork out of understanding your customers so you can maximize every sales opportunity, according to Mike Leikin,...
Tons of marketers hate data, so they only focus on the low-hanging fruit. These “vanity metrics” include data like total page views, Twitter followers, and other fluffy numbers. The strongest marketers are the ones who collect actionable data.
There is irony behind a discussion of the business value and metrics related to big data analytics, since a lot of people in the business world still don’t understand much about big data, including those who think they have a handle on it.
Do You Have Any Rights in the Age of Big Data Analytics? Smart Data Collective With Big Data-related excitement on the verge of finally reaching a crescendo, many market analysts are forecasting gargantuan outlays.
Big data has incredible power. It also has limitations not everyone understands. (Try our Twitter quiz and see.) (#Predictive #Analytics is a cool thing. But how accurate can it be? Now that's the question.
SaportaReport (blog) Using 'big data' to achieve success The Age Before getting caught up in the 'big data revolution', businesses must understand big data will not deliver valuable insights unless the organisation's analytics are being managed...