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Big Data Agreement

Big Data Agreement

We recommend that you take note in this important place when signing/designing a big data as a Service contract. Are services transferred to tangible or intangible media? If it`s a cloud, how long is the information kept? When will the services be considered provided and accepted? If the quality of big data services is not up to your needs, can you improve service results? Taking into account the aforementioned provisions, a customer may receive qualitative services and make a timely payment to a contractor. If such criteria are met, I am sure that the customer will turn to this supplier several times and therefore the supplier will make a profit. The thirteenth article in our “Big Data & Issues & Opportunities” series provides an overview of data sharing agreements and relevant legal frameworks and instructions. This article also provides a critical analysis of the use of such agreements as a solution to control the lifecycle of big data analytics. Big data is a fast-growing market. Whether as a buyer or seller, the big data market is a valuable opportunity for businesses. But with the unique combination of data characteristics, both the buyer and seller need to know the additional terms that should be included in their business. In any data license agreements you want to sign, pay close to data security, service level, and the impact of termination. While there are certainly aspirations to turn data into a commodity that is easy to buy and sell on the Internet, the market is not quite there yet. Many companies protect their data than their crown jewels, and in the face of the recent Cambridge Analytica scandal, companies are even more cautious about who they sell and what they do with it.

As a result, buying and selling data is still done in the traditional way: as licensing agreements directly between the two parties, after careful consideration of the buyer`s intentions and lengthy discussions to build trust. 8.1 You should read our Privacy and Cookie Policy, which contains important information about the use of your personal data and other information relating to your privacy and our security processes and policies. The license agreement must define a certain service level obligation, as the buyer may incur significant financial losses due to data arriving “late”. Since real-time/dynamic data is not delivered in constant current, but only on computer request from the buyer to the seller, the service level clauses should concern: for traditional products, the termination effect is quite simple: the buyer no longer receives delivery of the thing provided by the seller. However, another strange feature of the data is that it is not used during use: the data caterer always has the data in its original form after it has been used to calculate something else. So while cutting off the data supply means the buyer is no longer receiving new data, there`s still the supply of old data that can be used endless times (remember: Tim Tams` endless plan). The BDaaS contract should define in detail what information is considered confidential (e.g.B. information about databases, storage media, data transmission methods and forecasting systems integrated into the data communication process, the process of obtaining and analyzing information to find ways to optimize the provision of the service, the process of creating tools based on the principle of machine learning, etc.). Remember a dragon penalty and a disclaimer for which the disclosure of confidential information to your employees and contractors is not considered a violation of this provision. Data analysis is used for multiple purposes: improving system performance, decision-making support for the management of company products, risk assessment of decisions, etc. .