DataBuck
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.
Learn more
Orion
The Orion Practice Management System places essential information directly on your desktop, consolidating everything necessary for your firm, including Case Management, Docket, Calendar, Emails, Contacts, Communications, Financial Statistics, and Client Documents. For the first time, this system allows law firms to transition seamlessly from an overarching perspective to intricate details with remarkable efficiency and ease, all in real-time and on-demand. By handling the data-gathering process, the Orion Practice Management System empowers you to swiftly assess the firm's health and operational status at any moment. Designed with adaptability in mind, Orion's Practice Management module allows each user to customize her profile(s) and save preferences, ensuring a personalized experience upon each login. This customization extends to selecting which columns to display, determining sorting order—ascending or descending—and adjusting the layout of various sections on the screen. Ultimately, this level of personalization enhances productivity and ensures that every user can work in a way that suits their individual needs.
Learn more
Service Objects Lead Validation
Think your contact records are accurate? Think again. According to SiriusDecisions, 25% of all contact records contain critical errors. Ensure your data is pristine with Lead Validation – US , a powerful real-time API. It consolidates expertise in verifying business names, emails, addresses, phones, and devices, offering corrections and enhancements to contact records. Plus, it assigns a comprehensive lead quality score from 0 to 100.
Integrating seamlessly with CRM and Marketing platforms Lead Validation - US provides actionable insights directly within your workflow. It cross-validates five crucial lead quality components—name, street address, phone number, email address, and IP address—utilizing over 130 data points. This thorough validation helps companies ensure accurate customer data at the point of entry and beyond.
Learn more
Datagaps DataOps Suite
The Datagaps DataOps Suite serves as a robust platform aimed at automating and refining data validation procedures throughout the complete data lifecycle. It provides comprehensive testing solutions for various functions such as ETL (Extract, Transform, Load), data integration, data management, and business intelligence (BI) projects. Among its standout features are automated data validation and cleansing, workflow automation, real-time monitoring with alerts, and sophisticated BI analytics tools. This suite is compatible with a diverse array of data sources, including relational databases, NoSQL databases, cloud environments, and file-based systems, which facilitates smooth integration and scalability. By utilizing AI-enhanced data quality assessments and adjustable test cases, the Datagaps DataOps Suite improves data accuracy, consistency, and reliability, positioning itself as a vital resource for organizations seeking to refine their data operations and maximize returns on their data investments. Furthermore, its user-friendly interface and extensive support documentation make it accessible for teams of various technical backgrounds, thereby fostering a more collaborative environment for data management.
Learn more