What is Data Quality?
Why Data Quality is important to your business?
The main reason organizations invest in maintaining high-quality data sets is to make informed decisions that will deliver returns for business.
High-quality data facilitates powerful decision-making in the following ways:
- Make Good Business Decisions Quickly: In today’s consumer-focused market, organizations have to evaluate data to understand consumers’ desires as they evolve, and change their strategies accordingly. With this in mind, accurate and current data is essential. When organizations use high-quality data, they can also be more confident that they are making the right decisions in this ever-evolving market.
- Work across teams: When different departments have access to consistent data, it’s easier for companies to stay aligned with priorities, messages, and brands—leading to more strategic and coherent results.
- Get a holistic view of the customer: Customer data provides insights into your customers’ interests and needs. This allows organizations to build better relationships while creating products and campaigns that are guided by specific consumer needs and desires.
How Xendat can help your organization?
Organizations need to have data of good quality to make effective decisions. Data quality includes accuracy, completeness, timeliness, and consistency. inaccuracies can lead to bad decision making which can be costly for the organization. Having a strategy in place for data quality is important for any organization that wants to use data effectively.
Xendat Data & Analytics has extensive experience helping organizations develop data quality strategies, frameworks, and roadmaps. We take into account the specific organizational model and objectives when designing a plan that is aligned with mid to long term business objectives and strategy. Our goal is to help you use data more effectively to improve your decision making and overall success.
If you are interested in learning more about how Xendat can help your organization with data quality, please contact us. We would be happy to discuss your specific needs and how we can best assist you
Data Quality Strategy, Framework, and Roadmap
The data strategy roadmap outlines how and when your data vision and mission should be implemented. It’s a useful change management tool, but it also guarantees that your organization’s vision, purpose, and strategic goals are all met.
Individual solutions should be short and simple, which leads to a large number of solutions that must be given in order to properly implement your data strategy. The roadmap identifies the ideal time to deploy each part based on your organization’s objectives and restrictions. A successful roadmap connects all of the separate solutions to create a solid foundation and the quickest time to value. One of the goals of the road mapping process is to uncover “quick wins,” or tiny but significant solutions.
Data Quality Tool Selection and Implementation
Organizations today are under pressure to make data-driven decisions in order to stay competitive. However, many organizations struggle with ensuring that their data is of high quality. This is where Xendat Data & Analytics can help.
We partner with your IT leaders to provide a value-driven data quality experience by helping with analysis, requirements, and architecture for data quality technology selection and implementation. We have a deep understanding of the various data quality tools on the market and can help you select the right tool for your organization’s needs. Once the tool is selected, we can assist with implementing it in order to ensure that it meets your organization’s specific requirements.
By working with Xendat Data & Analytics, you can be confident that you are making data-driven decisions based on high-quality data. Contact us today to learn more about how we can help you improve your data quality.
Data Quality Implementation
Xendat Data & Analytics is experienced in implementing data quality solutions
that have been determined in the Improve stage. We understand both the technical aspects as well as any business process-related changes that need to be made. We will develop a comprehensive ‘Change Management’ plan to ensure that all stakeholders are appropriately trained. This will help to ensure a successful implementation.
Virtual Data Quality Team
Organizations can significantly improve their data quality by outsourcing their data quality measurement and reporting to Xendat Data & Analytics. We have a team of experts who can provide complete or augmented operational data quality services on an ongoing basis, including expert advisory services.
Data quality is a very specialized skillset that most organizations do not require full-time staff for. By outsourcing data quality measurement and reporting to Xendat Data & Analytics, organizations can save on maintaining a full-time data quality team.
Our team of experts can help your organization improve its data quality, so you can make better informed decisions based on accurate data. Contact us today to learn more about our services.
Data Quality Staffing
Organizations today are relying more and more on data to drive business decisions. As a result, the need for experienced and skilled data quality professionals has never been greater. Xendat Data & Analytics can help find the best staffing fit for your organization’s data quality team.
Our team of experts have over a decade of experience in the data quality field and are among the most experienced and skilled data quality professionals in the industry. We have a proven track record of helping organizations find the right data quality staffing solution for their needs.
Whether you’re looking to staff a data quality team for the first time or you’re looking to add additional resources to an existing team, Xendat Data & Analytics can help. Contact us today to learn more about how we can help you find the best data quality staffing solution for your organization.
Why care about data quality?
At each step of the lifecycle, the quality of data is checked to make sure it is preserved.
Plan: come up with a list of requirements for business, data, and functionalities.
Acquire: layout pathways for transmission of data between data sources and applications.
Validate: setup thresholds, criteria for acceptance, references, mechanisms.
Standardize: come up with rules for business and data.
Integrate: streamlining integration rules, sources, and targets documented, setup schedules.
Deliver: enforce access rule rights, governance policies, delivery formats.
Need help for data management services and solutions
Schedule a meeting with our data management experts who have worked with many clients to accelerate their digital transformation journey.