Lead Data Quality Sample Clauses

Lead Data Quality. Company shall monitor the quality of the Lead Data provided by Affiliate and shall determine the validity of the Lead Data (and, therefore, the associated Action) and whether it was generated by Qualifying Traffic, in its sole discretion. Company’s determination of Lead Data quality may include, but are not limited to, the following factors: whether the Lead Data contains real names, telephone numbers that actually connect to the person identified by the data, e-mail addresses that do not bounce back, and the percentage of Users who entered in Lead Data that were successfully redirected to a website specified by Company.
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Related to Lead Data Quality

  • Data Quality 4.1 Each party ensures that the shared Personal Data is accurate.

  • Quality Assurance/Quality Control Contractor shall establish and maintain a quality assurance/quality control program which shall include procedures for continuous control of all construction and comprehensive inspection and testing of all items of Work, including any Work performed by Subcontractors, so as to ensure complete conformance to the Contract with respect to materials, workmanship, construction, finish, functional performance, and identification. The program established by Contractor shall comply with any quality assurance/quality control requirements incorporated in the Contract.

  • Service Quality The Transfer Agent shall maintain a quality control process designed to provide a consistent level of quality and timeliness for its call center, correspondence services and transaction processing.

  • Research Use Reporting To assure adherence to NIH GDS Policy, the PI agrees to provide annual Progress Updates as part of the annual Project Renewal or Project Close-out processes, prior to the expiration of the one (1) year data access period. The PI who is seeking Renewal or Close-out of a project agree to complete the appropriate online forms and provide specific information such as how the data have been used, including publications or presentations that resulted from the use of the requested dataset(s), a summary of any plans for future research use (if the PI is seeking renewal), any violations of the terms of access described within this Agreement and the implemented remediation, and information on any downstream intellectual property generated from the data. The PI also may include general comments regarding suggestions for improving the data access process in general. Information provided in the progress updates helps NIH evaluate program activities and may be considered by the NIH GDS governance committees as part of NIH’s effort to provide ongoing stewardship of data sharing activities subject to the NIH GDS Policy.

  • COVID-19 Protocols Contractor will abide by all applicable COVID-19 protocols set forth in the District’s Reopening and COVID-19 Mitigation Plan and the safety guidelines for COVID-19 prevention established by the California Department of Public Health and the Ventura County Department of Public Health.

  • Statistical Analysis 31 F-tests and t-tests will be used to analyze OV and Quality Acceptance data. The F-test is a 32 comparison of variances to determine if the OV and Quality Acceptance population variances 33 are equal. The t-test is a comparison of means to determine if the OV and Quality Acceptance 34 population means are equal. In addition to these two types of analyses, independent verification 35 and observation verification will also be used to validate the Quality Acceptance test results.

  • Use; Quality Control a. Neither party may alter the other party’s trademarks from the form provided and must comply with removal requests as to specific uses of its trademarks or logos.

  • Data Analysis In the meeting, the analysis that has led the College President to conclude that a reduction- in-force in the FSA at that College may be necessary will be shared. The analysis will include but is not limited to the following: ● Relationship of the FSA to the mission, vision, values, and strategic plan of the College and district ● External requirement for the services provided by the FSA such as accreditation or intergovernmental agreements ● Annual instructional load (as applicable) ● Percentage of annual instructional load taught by Residential Faculty (as applicable) ● Fall Full-Time Student Equivalent (FFTE) inclusive of dual enrollment ● Number of Residential Faculty teaching/working in the FSA ● Number of Residential Faculty whose primary FSA is the FSA being analyzed ● Revenue trends over five years for the FSA including but not limited to tuition and fees ● Expenditure trends over five years for the FSA including but not limited to personnel and capital ● Account balances for any fees accounts within the FSA ● Cost/benefit analysis of reducing all non-Residential Faculty plus one Residential Faculty within the FSA ● An explanation of the problem that reducing the number of faculty in the FSA would solve ● The list of potential Residential Faculty that are at risk of layoff as determined by the Vice Chancellor of Human Resources ● Other relevant information, as requested

  • Review Protocol A narrative description of how the Claims Review was conducted and what was evaluated.

  • Image Quality You are responsible for the image quality of any Image that you transmit. If an Image that we receive from you or for deposit to your Account is not of sufficient quality to satisfy our image quality standards as we may establish them from time to time, we may reject the Image without prior notice to you. Each Image must include the front and back of the Item and the following information must be clearly readable: amount, payee name, drawer signature, date, check number, account number, routing and transit number, MICR (Magnetic Ink Character Recognition) line, and any endorsement or other information written on the check.

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