搜集汇总
数据集介绍
背景与挑战
背景概述
该数据集聚焦于金融领域的严重失信记录，可通过企业唯一标识查询相关企业的核心信息，如公司名称、法定代表人、统一社会信用代码、案号、列入原因、执行法院、组织机构代码及所在省份。这些数据有助于分析和监控金融失信行为。
以上内容由遇见数据集搜集并总结生成
相关数据集
CreditStyles Pro®
CreditStyles Pro® helps businesses gain critical insight on credit use by offering a suite of measures to differentiate households based on their likely credit availability, needs, and usage. The suite includes detailed credit variables, risk scores and intent indicators. These measures, scores, and variables can be used alone or combined for advanced analytics. Household scores and variables are aggregated to the ZIP+4 level and CreditStyles Pro components can be used throughout the customer lifecycle to enhance prospecting, targeting, and account management. The data is offered in two packages: - Basic Package - Full Package Categories Included: Basic Package- Estimates of household credit behavior provided at the neighborhood level used to differentiate households based on their likely credit availability, needs, and usage. It enables financial services marketers and analysts to gain insight on all types of credit usage including mortgages, HELOC, HELoans, bank cards, retail cards, student loans, auto loans, and other non-mortgage loans. Full Package*- In addition to basic it includes: Risk Scores: CreditStyles Pro offers aggregated Equifax Risk Scores for households within a micro-neighborhood, enabling firms to reduce risk and better target and service their customers and prospects. The risk scores predict households’ likely future credit behavior based on previous behavior as well as compared to credit files that have had similar characteristics under similar conditions. Equifax risk score models typically assign higher scores to consumers who exhibit a likelihood of high, or satisfactory, credit performance and lower scores to consumers who exhibit a likelihood of low, or unsatisfactory performance. Intent Indicators: Intent Indicators offer indexed measures that identify households’ likely propensity to acquire new credit or to inquire or respond about a new line of credit. The higher the index, the more likely the consumer has a specific credit need. Marketers can use Intent Indicators for both offline ITA marketing and online digital ad display marketing in order to better identify households that are likely seeking a specific credit product. (*Full Package includes the Basic Package) The CreditStyles Pro full package layout can be accessed here: https://assets.equifax.com/mkt-legal/CreditStylesPro_Standard_Layout_DaaS.xlsx
Snowflake2021-08-05 更新90
Coastal Flood Maps (FRM_FH_COASTAL_EXTENT_M)
The following probabilities are available for coastal flooding: - High - 10 year return period - Medium - 200 year return period - Low - 1000 year return period and 200 year return period plus...
data.gov.uk2024-03-08 更新10
基层防汛风险隐患信息
基层防汛风险隐患信息，包含：风险隐患ID,省编码名称,省ID,市编码名称,市ID,区县编码名称,县ID,乡镇编码,镇ID,村名称,村ID,备注,操作人ID,操作人电话,操作人,创建时间,行政区划ID主键,行政区划名称,责任人姓名,责任人电话,隐患地点,存在问题描述,整改责任单位,整改期限,整改措施要求,主管（监管）部门,进展名称,风险隐患类型名称,整改措施落实情况,整改责任地区ID,整改责任地区名称,创建,录入人员手机号,录入人员姓名,整改负责人姓名,整改负责人电话等信息
浙江数据开放2024-08-31 更新130
贸易业务运营分析数据集
贸易业务运营分析数据集聚焦贸易业务全流程运营核心数据，涵盖贸易采购、销售环节的交易规模、价格波动、结算方式、业务周期等指标，数据规范完整，可支撑贸易行业运营研判、趋势分析、风险管控与业务优化，为贸易企业经营决策、行业分析研究提供可靠数据支撑。
江苏数据交易所2026-04-28 更新90
联络人M1通话活跃度排名查询
梧桐风控是中国移动基于海量的用户和业务数据，面向各垂直行业客户提供的标准化数据产品和定制化服务，通过该产品实现联络人M1通话活跃度排名查询。
贵阳数据交易所2024-03-08 更新300
Scope of the Verchaix Natural Risk Prevention Plan (Haute-Savoie) — approved on 24/11/2000
This dataset contains the boundaries at the different stages of the development of the PPRN. The characteristic of these perimeters is to be the consequence of an official act and to produce their effects from a specified date. This is the following: — prescribed scope contained in the prescription order of a PPR (natural or technological); — scope of risk exposure that corresponds to the scope regulated by the approved RPP. This approved perimeter is a utility easement (PM1 for PPRNs and PM3 for PPRTs); — scope of study which corresponds to the envelope in which the hazards were studied.
data.europa10
2023-JRFM-Accounting_Semi-Identity-Based_Models
This dataset contains the same 2 files published in figshare.com but the data is in a more-opened format (csv separated with commas-decimals are points, for the data) to facilitate access. In the csv you can find the data, and in the txt you have the description of variables, which are the columns of the data file, and the lines of code for Sintax to run all analyses, both those included and those just mentioned, like for example, the robustness tests.
NIAID Data Ecosystem30
Simple download service (Atom) of the dataset: Regulated areas of the Technological Risk Prevention Plans (PPRT) of the Seine-et-Marne department
For PPRTs, the environmental code defines a single category of zones for zones (L515-15 et seq.): areas at risk. Unlike natural RPPs, PPRTs never have restricted areas that are not directly exposed to risk. Depending on the hazard level, each TRPP area is subject to an enforceable settlement. The PPRT regulations generally distinguish between two types of areas:1- “Building prohibited areas”, known as “red zones”, where the hazard level is high and the general rule is the construction ban;2- “prescribed areas”, so-called “blue zones”, where the hazard level is medium and the projects are subject to requirements adapted to the type of issue. The instructions of the PPRT development guide add a gradation within the “red zones” and “blue zones”.
data.europa70
Yzeron Natural Hazard Prevention Plan
Risk Prevention Plans (RPPs) are the key government instrument for risk prevention. Their objective is to control development in areas at risk. The development of a risk prevention plan generates a set of spatial data organised into several data sets. The same PPR may include spatial datasets containing: — main scopes of the RPP; — restricted areas of the plan once approved. RPP regulations generally distinguish between ‘construction ban areas’, so-called ‘red areas’, where the hazard level is high and where the general rule is the construction ban; ‘areas subject to requirements’, known as ‘blue zones’ where the hazard level is medium and projects are subject to requirements adapted to the type of issue and areas not directly exposed to risks but subject to prohibitions or prescriptions; — hazard areas represented on the map of hazards used for risk analysis by crossing with the stakes, specifying for each zone the level of the hazards to which it is exposed; — issues which are persons, property, activities and elements of cultural or environmental heritage threatened by a hazard and likely to be affected or damaged by it; — origins of risk, i.e. the entity of the real world which, through its presence, represents a potential risk. This entity may be characterised by a name, a reference to an external object or a geographical object that locates the actual entity causing the risk. Each element in the same PPRN dataset is bound by the GASPAR format identifier “ddd[PREF|DDT|DDT|DREAL]aaaannnn” (AAAA and NNNN correspond to the reference year and the order number of the PPR procedure associated in GASPAR) to a single object in the PPRN document table described by the N_DOCUMENT_PPRN metadata sheet.
data.europa10
Botswana Capital base/activos ponderados x riesgo - datos, tabla | TheGlobalEconomy.com
Botswana: Capital base/activos ponderados x riesgo del sistema bancario: Para ese indicador, proporcionamos datos para Botswana de 2000 a 2020. El valor medio para Botswana durante ese período fue de 20.36 por ciento con un mínimo de 17.93 por ciento en 2018 y un máximo de 27.1 por ciento en 2000. El último dato de 2020 es 20.02 por ciento. A modo de comparación, el promedio mundial en 2020 basado en 107 países es de 19.63 por ciento.
es.theglobaleconomy.com60
EDI Global Securities Reference Data | Identifiers | Issuer Name | Parent | Type |Point in Time | and others. History available
Manage compliance and operational risk with high quality securities reference data. Our database encompasses a wide spectrum of listed and unlisted securities, including: certificates, debt instruments, equities, indices, exchange traded funds (ETFs) mutual funds and warrants. We put you in control by providing a robust search tool that allows you to cherry-pick data from over 40 fields. You can find the information that matters most to you, including details on: US Local code, ISIN, Country of Register, SEOL, CFI Code, Tickers, Industry Classification, Issuer Name, Security Class,...
Datarade130
Perimeter of the natural risk prevention plan of Chatillon-sur-Cluses (Haute-Savoie) — approved on 28/06/2004
This dataset contains the boundaries at the different stages of the development of the PPRN. The characteristic of these perimeters is to be the consequence of an official act and to produce their effects from a specified date. This is the following: — prescribed scope contained in the prescription order of a PPR (natural or technological); — scope of risk exposure that corresponds to the scope regulated by the approved RPP. This approved perimeter is a utility easement (PM1 for PPRNs and PM3 for PPRTs); — scope of study which corresponds to the envelope in which the hazards were studied.
data.europa10
Jiangxi Black Cat Carbon Black Inc.,Ltd liabilities 2020-2024
Liabilities of Jiangxi Black Cat Carbon Black Inc.,Ltd from 2020 to 2024 (in billion yuan)
Statista10
Simple download service (Atom) of the dataset: PPRN — RPP Risk Entities for the CRUSNES Sector Mining RPP
The origin of the risk characterises the real-world entity which, through its presence, represents a potential risk. This origin may be characterised by a name and, in some cases, a geographical object locating the actual entity causing the risk. The location of the entity and the knowledge of the dangerous phenomenon are used to define the risk pools, the risk-exposed areas that underpin the RPP.
data.europa00
