Funding

Three key considerations for Big Data investors

23rd Jun `16, 11:43 AM in Funding

Big data’s day has come: it dominates headlines and business conversations alike. As industries coalesce around it, the…

BDMS
Guest Contributor
 

Big data’s day has come: it dominates headlines and business conversations alike. As industries coalesce around it, the conversations surrounding big data (benefits, issues, challenges) are changing and maturing. Venture investors who typically look over the horizon for opportunities are accelerating their investments in big data. But there are a few considerations that must be taken into account before investing in startups that develop big data technologies and solutions.

The broad set of opportunities and challenges startups face in developing big data technologies and solutions will be some of the topics discussed by a panel of experienced venture investors entitled, Big Data Needs Big Dreamers: Lessons from successful Big Data investors, at this summers KDD-2016 Conference in San Francisco.

Venture investors will analyze three considerations:

Consideration #1: Business is waking up to the value of data to solve strategicproblems. In recent years, publications like The Economist and The Wall Street Journal — even the BBC — have talked about data as “the new gold”. Corporations from many industries including consumer packaged goods, health care, financial services and retail have been collecting data for years and have developed an interest in data/analytics. Few companies in these industries were able to apply such analyses effectively, addressing some of the strategic problems they were facing such as fraud detection around new payment methods, supply chain optimization and yield optimization.  More recently, additional industries like automotive, agriculture, pharma and logistics have started waking up to the importance of big data analytics in effectively addressing some of their vexing strategic problems such as autonomous driving, crop optimization and personalized medicine.

Read More
MORE FROM BIG DATA MADE SIMPLE