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You can start getting familiar with Watson Analytics by using the sample datasets provided in this community. These datasets have all been tested with Watson Analytics, and are the basis for many of the Watson Analytics demonstrations and videos. A description of each is below. To use the datasets, download them from the links below. Then, access Watson Analytics and from the Welcome Page, tap Add and add your data.

People who can effectively communicate the results of analytics applications to business executives are becoming big contributors to the analytics teams in some organizations.

Predictive analytics uses many techniques from data mining, statistics, machine learning and AI.

IBM - Watson Analytics and Prediction Engine

Google is implementing voice activated natural language processing technology - already available across Google products like Android and Search - to all Google Analytics users over the next few weeks.

Michigan State University has over 450,000 alumni around the world. The school's University Advancement department sought to create a representation of alumni and donor sentiment and likelihood of philanthropic engagement based on data gathered from social media. However, these analyses often took weeks to process, limiting the school's ability to gather valuable insights in a timely manner. This case study describes how MSU leveraged business intelligence and predictive analytics to gain deep insight into an individual alum's potential to give, resulting in the following positive results: -An annual ROI of 55% -An average annual benefit of $34,434 -And more The case study purports to show how organisations can identify new opportunities for revenue generation by embracing a BI and predictive analytics strategy.

"Big data's potential just keeps growing. Taking full advantage means companies must incorporate analytics into their strategic vision and use it to make better, faster decisions."

Curated website of all things about Big Data, Analytics etc.

Predictive analytics for sales and marketing. Transforming big data into customer knowledge

Tour of Watson Analytics

Every industry is becoming an analytics industry because of the inclusion of data-driven technology. Traditional industries, such as healthcare and finance, are actually purchasing analytic technologies with the intent of becoming digital leaders in their industry. IoT is regarded as a future trend, and according to Gartner, by 2018, six billion connected things will be requesting data support. This requires tools that are future-proofed to handle the mass and types of data that Gartner is forecasting.

Big data is now moving from the sole care of data scientists and becoming accessible to employees throughout organizations. The mystique surrounding data analytics is falling away, with tools designed to let non-technically-minded people understand metrics.

"Innovations in digitization, analytics, artificial intelligence, and automation are creating performance and productivity opportunities for business and the economy, even as they reshape employment and the future of work."

The more enterprises seek out insights to drive greater business outcomes, the more it becomes evident the era of the Intelligent Cloud has arrived. C-level execs are looking to scale beyond descriptive analytics that defines past performance patterns. What many are after is an entirely new level of insights that are prescriptive and cognitive.

Ensuring that big data creates big value calls for a reskilling effort that is at least as much about fostering a data-driven mindset and analytical culture as it is about adopting new technology. Companies leading the revolution already have an experiment-focused, numerate, data-literate workforce. Are you ready to join them?

Many companies are seeing that the future of deep learning is here, and that it doesn't require a lot of money or resources to take advantage of this new industrial science. IBM's Watson Analytics offers a freemium service that allows you to upload up to 500MB, and enables you to explore your own real-life applications for deep learning. Inputting Google Adwords or other sales metrics into this tool can help even startup companies find relational and predictive information in their data.

Use of data analytics on HR data to provide insights to improved employee retention.

Data analytics will no yield results if the output is mistrusted, or if the organisation is not geared-up to respond.