Organizations have been obsessed with collecting and analyzing customer data and, accordingly, have discovered the importance of protecting this information. What a small business must avoid ultimately these data? Understand how the information is collected will provide ideas for preventive measures.
Responsibility of a business to its customers has grown to keep accurate records on the prevention of violations that can damage a company reputation of customers finance and credit. The cost of such breaches may be surprising, that affect small and large enterprises. For example, data breach recent Sony for its PlayStation network is estimated to have cost the company $ 170 million.
Development of the right processes that identify what the customer gets data exposed not only reveal how to improve your business but will show that you matter personal information of its customers.
Solutions for web analytics for small businesses avoid concerns over data violation when used in isolation, but you can create data integrity problems when integrated with other sources of data and processes. With certain precautions, your effort to be responsible with the personal information of customers will ease the fears of people who are more for your business: your customers.
Web analytics solutions use "cookies" to calculate the activity on the website, such as the number of visitors and the time average spend on the site. Cookies can benefit from online consumers and marketers. Information from cookies enables marketers to better understand the preferences of the customer and develop more compelling messages that convey a brand and best audiences. Cookies help the consumer to store user preferences when you visit a favorite site. Cookies do not track personally identifiable information, such as numbers of Social Security numbers of license, full or even IP addresses names automatically. But a combination of cookies from third parties with other data bases containing personal information allowed thieves correctly guess the private data of the user. Thus, a program of web analytics installed for a benevolent purpose can lead to accidental exposure when combined with other data is not protected.
Best precautions begin with which to assess the exposure of data can occur:
Only collect essential information: When requesting information on a registration or contact page, consider how essential is to ask for directions and details in advance. Deciding what they describe as a customer and request that specific information. Also, be careful about allowing visitors to opt out of tracking information. Although a low percentage of users online exercises the option, what for them is a reminder about the preferences of the client. Internet Explorer, Firefox and Chrome browsers contain a feature to opt out of tracking information. Audit data use: You should audit your system for the analysis of data. Analytics is inherently dynamic; Once valuable analysis can become ineffective over time, so an audit may reveal operational changes that can improve measurement as well as the integrity. Make sure that security passwords updated personnel already are not allowed to access. Share their policy of data with customers: It has technology and processes to ensure the security, but it is the policy that sets the collection of data is used. Allows your customers and clients know that it has a policy in place for what you understand how your information is protected. Stay informed about the law of privacy: After the news keeps you informed about the legislation's impact can have on their operations. For example, the Web Analytics Association oversees legislation relating to the legal interpretation of acceptable monitoring solutions and might significantly agencies, digital impact and corporate marketing departments alike. Be proactive, the Association created a Code of ethics of Web Analytics, which is a pact signed voluntarily by analysts of the Web to support behaviour and practices that protect the data within a business. Pierre DeBois is the founder of Zimana, a consultancy of strategic analysis for small and medium-sized enterprises which are based on data from Web analysis.
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