The Data Quality Navigator is an innovative software solution BearingPoint designed, developed, and operated. It offers data quality checks, data deduplication, external data validation, data visualization, no-code data migration and business intelligence solutions like business process simulations, anomaly detection, forecasting and AI-based optimizations.
Compared to other services, our solution is an all-in-one product. It offers industry-proven and AI-based services, including a wide range of options from data quality checks and data cleansing to data migration and optimization and forecasting in multiple fields. Results are displayed in interactive and intuitive dashboards, accessible to technical and non-technical users. With efficient and safe system integration through various interface technologies, the Data Quality Navigator is easy to set up, lightweight, and highly scalable due to its Software-as-a-Service (SaaS) structure. Additionally, our consultancy services are available to ensure seamless implementation and maximum benefit for your organization.
The Data Quality Navigator supports various use cases from digital transformation projects, and operational excellence to data analytics. The Solutions section offers more detailed insights for each use case cluster, department or industry.
Get in touch with our product team by filling out the contact form on our website.
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The Data Quality Navigator is a cloud-native application that is available on common cloud platforms like Azure and AWS for users across the globe. Furthermore, On-Premise installations are possible. Check out the contact form to get in touch with our technical experts.
The Data Quality Navigator natively supports English and German. Depending on your needs, other language packages are available.
Application setup depends on your individual needs. For this reason, we have developed a setup process that consists of three steps:
Step 1: Technical setup and data transfer configuration (IT onboarding)
Step 2: Identification and selection of applicable data quality checks
Step 3: User onboarding, introduction, and productive use of each module
Our experts will guide you through the steps to ensure a lean integration and fast onboarding process.
This depends on the type and number of source systems. Generally, a simple use case can be set up within one or two weeks.
There are no resource requirements on your side. The standard Data Quality Navigator will be accessed as Software as a Service (SaaS) from a browser on any device. This means that you do not need to install new programs or provide hardware for data storage or processing.
No, as the Data Quality Navigator uses a user-friendly web interface that guides the user through the necessary steps. It does not require the involvement of specialized experts. The only requirement for using the Data Quality Navigator is knowledge of your processes and systems so that your employees can cleanse the data.
Yes, the Data Quality Navigator can be flexibly adapted to your business structures to reflect your individual business aspects. For example, you can configure the structures for data checks, workflows and reporting to match your process or organizational needs.
Yes, you can use the Data Quality Navigator in just one department, plant or other unit of your organization. It is a common strategy to use a small unit as a pilot and then expand its use.
Our solution provides predefined Data Quality (DQ) checks to identify the most common data issues. Our specialists support you in configuring checks based on your system landscape and data. In addition, your team can define data quality checks themselves or use our AI-based DQ checks to identify issues specific to your business. You can view, edit and share the results with your colleagues in interactive dashboards. You can also use our data deduplication service, validate your external data and use our solution for smooth data migration.
Our product offers both deterministic as well as fuzzy and AI-based matching logic. Our dashboard displays the matched results, with any discrepancies highlighted visually, allowing you to choose the leading entries. Furthermore, our product will enable you to edit and track your changes using the history function. Lastly, data export is made easy at the end of the process.
The Data Quality Navigator includes a variety of customizable analyses such as time series analyses, forecasting and prediction, optimization algorithms, processing of big data, and usage of artificial intelligence. For further information, our data analytics experts are happy to give you a tour through the existing capabilities and discuss new use cases with you.
Standard features exist to help you validate addresses, bank information, and VAT numbers and identify sanctioned business partners. If you would like to validate other types of external data, please contact our team.
The Data Quality Navigator uses different algorithms to analyze and generate results; some of them use Artificial Intelligence. If the use of AI is not desired in your use case, we also have deterministic alternatives that fulfill stricter compliance requirements.
Our product offers customizable workflows, allowing users to define their data quality checks through a modern and user-friendly interface according to your business processes & needs. Additionally, users can create smart lists and groups for all matches and found issues within the solution. By subscribing to these smart lists, users can receive alerts when data issues arise. Moreover, our team is available to help users customize the data deduplication and enrichment process to meet their specific needs. Users can also ask for assistance with business intelligence questions. Furthermore, our solution can handle almost every data source, allowing users to import data from any system they choose.
The Data Quality Navigator can be used to improve data quality in different types of data. We offer algorithms and dashboards to deal with different data types, for instance, master data and transactional data. There is no restriction on the content of the data, for instance by industry, department, or country.
The Data Quality Navigator can be combined with a variety of source systems. We have a strong expertise in ERP systems like SAP but we also have clients with different or additional systems.
The Data Quality Navigator is a cloud-native application ensuring today's extensive data requirements and regulations. All concepts are based on cloud services and thus scale with the amount of data. Because of our modern browser-based interface, the user is unaffected by vast amounts of data. For exceptional data volumes, we offer solutions like lower update frequencies which reduce the costs of extracting or transferring data.
The Data Quality Navigator is a microservice-based architecture running on a modern technology stack. As we are running on Kubernetes we are not bound to a specific cloud platform. For example, we offer implementations on Microsoft Azure and AWS.
Currently, the product is a cloud solution that leverages benefits like scalability and easy access. On-Premise installations are possible, check out the contact form to get in touch with our technical experts.
The Data Quality Navigator offers export functionalities that can be used to transfer insights into existing solutions. On top of this, we are working on interfaces with existing software. Contact us to check whether we already offer an interface for your solution!
Yes. For most use cases, the language of the data is not a significant factor. The Data Quality Navigator can handle various languages in the data. While the default languages for setting up the product are either German or English, the data can include information in other languages. Numerous clients in non-English speaking nations utilize our Data Quality Navigator.
If you would like to set up the Data Quality Navigator in a language other than English or German, please contact us.
No, for now, the Data Quality Navigator only checks the data quality at one point in time. For many clients, this is in the morning before they start operating with daily updates. In the case of migrations, more frequent updates are common to see the data cleansing progress during the day. The time and frequency can be adapted to your use case.
BearingPoint monitors platform security and works with certified third-party auditors to validate and maintain security. Best standards ensure the best possible protection of our customer data.
BearingPoint is committed to respecting and protecting the privacy and data of active and former employees as well as third parties, including but not limited to active and former clients, business partners, prospects, and applicants. To comply with statutory specifications and client requirements, data is protected by technical and organizational measures to prevent unauthorized access, data processing abuse, manipulation, and destruction of data. BearingPoint has implemented privacy management software for the recording of systems and attributes, wherein data is stored or processed, to demonstrate compliance with GDPR. The company has also implemented and maintains a quality management system (QMS) aligned with its business model and its overall strategic orientation. BearingPoint’s QMS is certified according to ISO 9001:2015, and the company has implemented and maintains an information security management system (ISMS) aligned with its business model and its overall strategic orientation.
BearingPoint’s ISMS is certified according to ISO 27001:2013. Any individual who works for or on behalf of BearingPoint must be familiar with BearingPoint’s latest data protection and privacy and information security policies and guidelines available in BearingPoint’s intranet. Persons employed in data processing shall not collect, process, or use data without authorization. When taking up their duties, such persons are committed to the data privacy secret stated by data protection regulations. BearingPoint has put in place an adequate organization to ensure compliance with GDPR and all other applicable data protection regulations in relation to any individual, any information system, or any business process that collects, uses, accesses, shares, stores, transfers, or destroys employees’ or third parties’ data for or on behalf of BearingPoint.
To meet the principle of segregation of duties, BearingPoint has established a Risk and Quality Management Department as well as a Group Compliance Department to which the responsibilities of QMS, GDPR, compliance, and ISMS were delegated. All personnel acting in the field of data protection are under the supervision of BearingPoint’s chief compliance officer, who also acts as the chief information security contact.