Too little insight, not too much data
A common misunderstanding regarding big data is that it is about ‘too much data'. In fact, big data concerns itself with gaining insight, finding the right questions to ask of the data available. The challenges and opportunities of big data don't stem from the sheer quantity of data; they come from the new kinds of data now available and the tools for analyzing them. Big data takes unstructured data - like video, images, geolocations, audit trails and social media conversations - and processes it in a way that enables it to be analyzed and visualized.
Also to be considered is the impact of the ‘Internet of Things', predicted to be the next wave of innovation, where millions of smart devices will connect to the Internet. Smart devices are typically constructed using Secure Elements; tiny, microprocessor-controlled devices capable of securely hosting applications and their confidential and cryptographic data. Analysts predict that, by 2020, 50 billion devices will be connected to the Internet and analysis of the data they generate promises to reveal new opportunities to innovate.
Expertise in a ‘new’ field
As big data is a relatively new field, expertise is rare and it's hard finding the right partner with the skills to utilize big data well. The ideal combination includes skill in scientific analysis, security, understanding of privacy laws and regulations, as well as confidence with large databases.
Morpho has been building and managing databases of entire populations for governments, law enforcement agencies and other government bodies around the world, whether for national ID, health cards, bank cards or even driver license programs. Morpho's expertise enables it to use big data technology to offer new kind of services to customers. Frequently, projects using Morpho (or third party) products generate huge datasets that can now be processed and analyzed to provide additional value to customers.
With big data, you can’t ignore security and privacy
From its experience working with governments and financial institutions, Morpho understands that it is essential in big data initiatives to keep privacy and legal issues in mind. It is especially important to be wary of data crossing international borders in multi-national organizations.
In particular, where data concerns individuals, data managers should always:
Anonymize data and use privacy-preserving data mining analytics: Data collected by companies and government agencies are constantly mined and analyzed by inside analysts and also potentially outside contractors or business partners. The use of privacy preserving mining algorithms and anonymizing data whenever possible is essential.
Enforce granular, Biometric Access Control: Restricting access to secret, private or personal data to those with specific clearance is an essential part of any data management activity. Legal and policy restrictions on data come from numerous sources, for instance legislation such as the Sarbanes-Oxley Act or even national security legislation. The ability to define granular access control enforceable using biometric security gives data managers a fine-edged tool to determine how data is accessed without compromising privacy or secrecy.