Compare DataBuck vs. Mesma

Big Data Quality must always be verified to ensure that data is safe, accurate, and complete. Data is moved through multiple IT platforms or stored in Data Lakes. The Big Data Challenge: Data often loses its trustworthiness because of (i) Undiscovered errors in incoming data (iii). Multiple data sources that get out-of-synchrony over time (iii). Structural changes to data in downstream processes not expected downstream and (iv) multiple IT platforms (Hadoop DW, Cloud). Unexpected errors can occur when data moves between systems, such as from a Data Warehouse to a Hadoop environment, NoSQL database, or the Cloud. Data can change unexpectedly due to poor processes, ad-hoc data policies, poor data storage and control, and lack of control over certain data sources (e.g., external providers). DataBuck is an autonomous, self-learning, Big Data Quality validation tool and Data Matching tool.

Create a comprehensive understanding of quality that empowers timely and assured decision-making. Swiftly identify areas where assistance for quality enhancement is required, ensuring quicker responses. Propel your quality improvement initiatives to achieve superior outcomes in a shorter timeframe, all while maintaining transparency and accountability. Improve fosters a collective approach to planning for enhancement throughout the organization, enabling effective distribution and management of responsibilities related to improvement tasks among team members. You can effortlessly establish deadlines, track advancements, and record both expected and actual outcomes. Observe facilitates collaborative, trustworthy, and developmental assessments of practices in various formats, such as learning walks, peer support, and individual reflections. The platform simplifies the processes of organizing, executing, and evaluating observational activities, allowing you to emphasize sharing effective practices and providing necessary support. With all pertinent information readily available, you can make swift and informed decisions with confidence. Ultimately, this approach not only enhances quality but also nurtures a culture of continuous improvement within the organization.