婚姻登记信息授权查询-（1）发起授权

北京地纬赛博科技有限公司是济南市大数据局公共数据授权运营商，基于母公司山大地纬软件股份有限公司自主研发的“大纬链+数据保险箱”精准授权模式，将公共数据进行加工开发后，通过“数据保险箱”面向数据需求方精准输出公共数据产品。数据需求方通过输入需查询人的姓名、身份证号码，申请个人精准授权，获取婚姻登记信息，可查询、验证主体登记结婚、离婚全部婚姻记录，如果结、离多次，就有多条。应用于婚姻中介、购房、贷款、查询个人婚姻情况、亲属关系情况等场景，融合其他数据可完成个人画像等完整信息，实现精准营销、多维度个人信息核验等。    该数据授权共分三个步骤，请同时下单三个数据产品：（1）发起授权、（2）获取授权信息、（3）获取数据。近期地纬赛博将推出其他数据产品，敬请关注。包括且不限于：1）居民身份证、2）户口本信息、3）同户人员信息、4）个人公积金信息、5）职工公积金个人缴存基本信息、6）单位公积金信息、7）公积金个人月缴存信息、8）企业信用档案、9）年报信息查询、10）单位公积金开户信息、11）婚姻登记信息、12）不动产权证书等。可基于以上信息做个人信息精准授权查询，也可以加工为模型运算、隐私计算、脱敏数据集、数据分析报告等产品。

Beijing Diwei Saibo Technology Co., Ltd. is the authorized operator of public data for the Jinan Municipal Bureau of Big Data. Based on the self-developed "Dawei Chain + Data Safe" precise authorization model of its parent company Shandong Diwei Software Co., Ltd., it processes and develops public data and accurately outputs public data products to data demanders via the "Data Safe" platform. Data demanders can apply for precise personal authorization by entering the name and ID number of the person to be queried, obtain marriage registration information, and query and verify all marriage records of the subject including marriages and divorces; multiple marriage or divorce records will be returned if there are multiple instances. This is applicable to scenarios such as marriage agencies, house purchasing, loan applications, personal marital status inquiry, kinship status inquiry, etc. It can be integrated with other data to complete complete information such as personal profiling, enabling precise marketing and multi-dimensional personal information verification.

This data authorization process consists of three steps, and you are required to order three data products simultaneously: (1) Initiate Authorization, (2) Obtain Authorization Information, (3) Obtain Data. Diwei Saibo will launch other data products in the near future, so stay tuned. The products include but are not limited to: 1) Resident ID card information, 2) Household register information, 3) Household member information, 4) Personal housing provident fund information, 5) Basic personal contribution information of employee housing provident fund, 6) Unit housing provident fund information, 7) Monthly personal contribution information of housing provident fund, 8) Corporate credit files, 9) Annual report information query, 10) Unit housing provident fund account opening information, 11) Marriage registration information, 12) Real estate ownership certificates, etc. Based on the above information, precise authorized queries of personal information can be conducted, and it can also be processed into products such as model computation, privacy computing, desensitized datasets, and data analysis reports.