When most people think “business intelligence” they think about corporations with silos of private data using software and analytics to enhance operational decisions. With the emergence of new data sources; from open data to social data and data as a service; new BI platforms can augment your corporate data with external data. Where does your BI platform source data from? How are you enabling businesses to plug in additional sources? How do you see the BI landscape changing in the next 10 years?

We don’t market. We target ads to online users based on their customer profile, real-time ad pricing, and sophisticated analytics. From hyper-personalization to ad marketplaces, what is the latest equation for placing the right ad in front of the right user at the right time? What does the future of advertising look like in a real-time personalized web?

Data marketplaces are on the rise and data can be purchased and sourced for free from multiple companies and data collection tools but once you get that data, who owns it? Are you purchasing it or subscribing to it and what are the terms of use? New ideas of data ‘app stores’ like iTunes are on the rise. What are the technical and logistical hurdles to data as a service? Is the technology available for “big data” from financial or research firms to be accessed or monetized as a service?

The barriers are lowered for sourcing, managing, distributing, and interpreting information. Will increased competition and the race to undercut competitors commoditize information? Is data an asset, is it a public utility, or is it a fragmented network that resists commoditization? What types of data will resist commoditization?

When we shop online, we interact with products, reviews, communities, and social media. Ecommerce 2.0 is about the convergence of product data with user data to make sales happen. Who organizes product data, how do I understand buying behaviors, and which ecommerce company will win in a data-driven economy?

More unruly than data itself is the law concerning it. The power of data is unprecedented as are the legal challenges relating to its collection and maintenance, for both consumers and advertisers. Ranging from privacy to day-to-day management issues, the goal will be to guide audience members on how to create and manage data projects that are profitable and successful with the law as part of the design.

Examine challenges with managing explosive data growth. Tools, techniques, technologies, processes and procedures are examined to help you visualize data storage, be prepared for rapid data storage growth, manage SLA’s, facilitate charge back and determine costs.

Use of infrastructure services (IaaS/PaaS) results in the generation of interesting datasets on your usage. Let’s look at what infrastructure can do to help alleviate the storage and analytics burden of this data, and how platform providers can make this echo-data accessible and useful.

Governments have started opening data for many reasons: it is a politically positive action and it alleviates the responsibility of analyzing and interpreting the data internally. Social Networks open data so they can become more valuable as the hub of many spokes, since 3rd parties will develop applications that make their data more valuable. Will traditional businesses open their data? Are some forms of data such as financial data necessarily closed-off and high-priced?

The Future of Social Data panel tackles how the web will adapt to who we are and who we interact with. Where will my social data exist online, and who will own it? What are the efforts to standardize social data between web services? What buying habits or personal preferences can be inferred from our social data? How do we balance exposing social data on services like twitter with locking down social data in services like Gmail?

Within the past 10 years, the amount of data we can access online has grown exponentially. Whether open government data, social data, or business data as a service, everyone from startups to Forture 500 corporations are discovering their role in the data supply chain and rethinking what business models are possible with data. What new types of companies will emerge that utilize newly accessible data? Will online structured data end up becoming centralized in services like Google or decentralized between 3rd parties? How do you fit into the data ecosystem, and how will the data ecosystem change in the next year?