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Big Data is everywhere, and as it becomes more of a priority organizations are embarking on data projects that are far more ambitious than before. However, for your Big Data strategy to be a success, there are 4 potential risks that you need to consider.

In just over 3 weeks time the Big Data Innovation Summit will return to Boston, on September 9 & 10, uniting today's most innovative data professionals to explore both the new opportunities of Big Data and the associated risks. You can use code DSC300 to save $300 off all two-day pass prices.

Check out the schedule here.

1. Security and Privacy

Five of the six most damaging data thefts of all time have happened in the last two years. At the same time, failing to comply with data protection laws can lead to expensive lawsuits. Data security and privacy policies are simply too important to ignore. Hear how Timothy Persons, Chief Scientist at the U.S Government Accountability Office is protecting America's data.
 

2. Cost

Data collection, storage, analysis and reporting all cost money. It is therefore crucial to have a cohesive data strategy in place. The 'Chief Data Officer' workshop will explore the role of the CDO in managing an enterprise wide data strategy.


3. Bad Analytics

It is very difficult to draw useful insights from Big Data without a solid analytics model in place. Jack Levis, Director of Process Management at UPS will share how the organization is 'Problem Solving Through Analytics' and how you can do the same.


4. Bad Data

Big Data on its own means nothing. There needs to be a human element involved to process, analyze and find conclusions. Hear how the Boston Redsox has transformed into a data-driven organization that goes beyond on-field analytics.


Wondering what to expect at the summit? Last week we spoke to data analytics experts from Coca-Cola, US Energy, BBC & BB&TCheck out Big Data Hangout Week here

If you are interested in attending, please contact Hayley Law at [email protected] (+1 415 692 5378) or secure your discounted pass here.

We hope to see you next month!

Big Data Innovation Team

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