Best Data Validation Tools in New Zealand - Page 2

Great Expectations is a shared, open standard for data quality. It helps data teams eliminate pipeline debt, through data testing, documentation, and profiling. We recommend deploying within a virtual environment. If you’re not familiar with pip, virtual environments, notebooks, or git, you may want to check out the Supporting. There are many amazing companies using great expectations these days. Check out some of our case studies with companies that we've worked closely with to understand how they are using great expectations in their data stack. Great expectations cloud is a fully managed SaaS offering. We're taking on new private alpha members for great expectations cloud, a fully managed SaaS offering. Alpha members get first access to new features and input to the roadmap.

Build a more connected business, drive growth, and leverage new technologies at scale with Syniti’s data matching solutions. No matter the shape or source of your data, our matching software accurately matches, deduplicates, unifies, and harmonizes data using intelligent, proprietary algorithms. Through innovation in data quality, Syniti’s matching solutions move beyond the traditional boundaries and empower data-driven businesses. Accelerate data harmonization by 90% and experience a 75% reduction in the amount of time spent on de-duplication on your journey to SAP S/4HANA. Perform deduplication, matching, and lookup on billions of records in only 5 minutes with performance-ready processing and out-of-the-box-ready solutions that don't require already-clean data. AI, proprietary algorithms, and steep customization maximize matches across complex datasets and minimize false positives.

Experian Data Quality is a recognized industry leader of data quality and data quality management solutions. Our comprehensive solutions validate, standardize, enrich, profile, and monitor your customer data so that it is fit for purpose. With flexible SaaS and on-premise deployment models, our software is customizable to every environment and any vision. Keep address data up to date and maintain the integrity of contact information over time with real-time address verification solutions. Analyze, transform, and control your data using comprehensive data quality management solutions - develop data processing rules that are unique to your business. Improve mobile/SMS marketing efforts and connect with customers using phone validation tools from Experian Data Quality.

Pandera provides a simple, flexible, and extensible data-testing framework for validating not only your data but also the functions that produce them. Overcome the initial hurdle of defining a schema by inferring one from clean data, then refine it over time. Identify the critical points in your data pipeline, and validate data going in and out of them. Validate the functions that produce your data by automatically generating test cases for them. Access a comprehensive suite of built-in tests, or easily create your own validation rules for your specific use cases.

The Orion Data Validation Tool is an integration validation tool that enables business data validation across integration channels to ensure data compliance. It helps achieve data quality using a wide variety of sources and platforms. The tool’s integration validation and machine learning capabilities make it a comprehensive data validation solution that delivers accurate and complete data for advanced analytics projects. The tool provides you with templates to speed up data validation and streamline the overall integration process. It also allows you to select relevant templates from its library, as well as custom files from any data source. When you provide a sample file, the Orion Data Validation Tool reconfigures itself to the particular file requirements. Next, it compares data from the channel with the data quality requirements, and the built-in data listener displays the data validity and integrity scores.

Through projects spanning different data types, industries, and geographies globally, we have made significant progress in serving the AI ​​value chain. Furthermore, our diverse experiences enable us to effectively address unique challenges and optimize solutions across different sectors. The high-precision custom data source for your specific model needs from around the world, ensuring strict compliance with GDPR, SOC 2, and ISO standards. Experience data annotation and labeling with approximately 95% accuracy across all data types, ensuring flawless model performance. Determine your model's initial performance to get an unbiased expert opinion on critical model performance measures such as bias, duplication, and ground truth response in the early stages. Validate your model output by leveraging our expert validation team to optimize and improve the accuracy of your model.

Graphs are the most flexible formal data structures (making it simple to map other data formats to graphs) that capture explicit relationships between items so that you can easily connect new data items as they are added and traverse the links to understand the connections. The semantics of data are explicit and include formalisms for supporting inferencing and data validation. As a self-descriptive data model, knowledge graphs enable data validation and can offer recommendations for how data may need to be adjusted to meet data model requirements. The meaning of the data is stored alongside the data in the graph, in the form of the ontologies or semantic models. This makes knowledge graphs self-descriptive. Knowledge graphs are able to accommodate diverse data and metadata that adjusts and grows over time, much like living things do.

WhiteSpace provides business integration solutions to our customers based on our Skimmer Technology. Skimmer Technology utilizes the desktop automation resources found in the Microsoft Office suite combined with data mining and extraction technology to refine data from disparate data sources. The refined data is then processed and presented as data analysis products in MS Excel, MS Word, MS Outlook email or as web pages. Many corporate problems are well-suited to Business Integration Solutions. The Skimmer Technology approach brings a framework and tools to integration-based projects. Risk is significantly reduced and returns are realized much sooner. Validation of data and report process should be the first step in any integration project. Most manual reports are never validated; Skimmers drive the validation of existing reports. Skimmers reinforce processes and eliminate manually-introduced variances.

What is Melissa Digital Identity Verification for KYC and AML? Melissa Digital Identity Verification is an all in one cloud based tool set that helps speed customer onboarding while meeting stringent international compliance obligations. Use a single Web service to easily verify identity (including national ID), scan and validate ID documents, use biometric authentication and leverage: age verification; liveness check; and sanction lists to identify specially designated nationals and blocked persons. Product Description Melissa Digital Identity Verification helps speed customer onboarding while meeting stringent international compliance obligations. Use a single API to easily verify identity (including national ID or Social Security Number), scan and validate documents, use biometric authentication and leverage optional age verification, liveness check and/or OFAC sanction lists to identify specially designated nationals and blocked persons.

Our state-of-the-art data migration tool is specially designed to effectively convert and migrate data from outdated legacy applications to advanced systems and frameworks with advanced data validation mechanisms and real-time reporting. Too often in the data migration process, data is lost or corrupted. When transferring information from old legacy systems to new advanced systems, the process is complex and time-consuming. Cutting corners or attempting to integrate the data without the proper tools may seem appealing, but often results in costly and drawn-out exercises of frustration. For organizations such as State Agencies, the risk is simply too high, not to get it right the first time. This is the most challenging phase, and one many organizations fail to get right. A good data migration project is built on the foundation of the initial design. This is where you will design and hand-code the rules of the project to handle different data according to your specifications.

RightData is an intuitive, flexible, efficient and scalable data testing, reconciliation, validation suite that allows stakeholders in identifying issues related to data consistency, quality, completeness, and gaps. It empowers users to analyze, design, build, execute and automate reconciliation and Validation scenarios with no programming. It helps highlighting the data issues in production thereby preventing compliance, credibility damages and minimize the financial risk to your organization. RightData is targeted to improve your organization's data quality, consistency reliability, completeness. It also allows to accelerate the test cycles thereby reducing the cost of delivery by enabling Continuous Integration and Continuous Deployment (CI/CD). It allows to automate the internal data audit process and help improve coverage thereby increasing the confidence factor of audit readiness of your organization.

A platform that efficiently delivers an accurate single view of your data across the enterprise. Rapid. Precise. Cost-effective. Synchronos is an enterprise-level master data management (MDM) software platform used for operational and/or analytical purposes. It enables organizations to bypass typical approaches that require extremely large investments of time and money and that incur high levels of risk when implementing and maintaining MDM. Instead, Synchronos delivers exceptionally high accuracy in 1/3 the time and 1/3 the cost of other approaches. Our solutions are adaptable as your needs change. We’ve delivered thousands of projects that benefit millions of customers every day. We put our customers first and are always ready to challenge ourselves and try new things to solve data problems. Our heritage and experience mean we can work effectively with teams of all shapes and sizes, and clients can be confident in our ability to come up with innovative approaches.