Resolver
Over 1,000 organizations worldwide depend on Resolver’s security, risk and compliance software. From healthcare and hospitals to academic institutions, and critical infrastructure organizations including airports, utilities, manufacturers, hospitality, technology, financial services and retail. For security and risk leaders who are looking for a new way to manage incidents and risks, Resolver will help you move from incidents to insights.
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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.
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Hive Moderation
Hive presents a comprehensive approach to safeguarding your platform. By harnessing the power of the largest global distributed workforce dedicated to labeling data, we are setting new standards in automated content moderation. Our offerings include top-tier models combined with manual moderation, enabling us to deliver scalable solutions that surpass the capabilities of traditional business process outsourcing (BPO) contract workers.
Moreover, alongside our leading models, our extensive workforce is equipped to address a wide range of manual moderation requirements. From overseeing user-generated content to annotating large volumes of training data, our decentralized system and consensus-driven policy ensure an unparalleled level of accuracy that outshines our competitors. This unique blend of technology and human expertise positions us as a frontrunner in the industry.
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SAP Master Data Governance
Develop an integrated and streamlined master data management approach across all your business sectors to enhance enterprise data oversight, improve data precision, and lower overall ownership costs. Launch your organization's cloud-based master data management project with a low entry threshold and the flexibility to implement extra governance scenarios at a comfortable pace. By consolidating SAP and external data sources, establish a singular, trusted reference point and facilitate the mass processing of substantial data updates efficiently. Outline, confirm, and track the established business rules to ensure the readiness of master data while assessing the effectiveness of your master data management efforts. Foster a cooperative workflow system with notifications that empower different teams to manage distinct master data characteristics, thereby ensuring the validity of specified data points while promoting accountability and ownership throughout the organization. Moreover, by prioritizing these strategies, you can significantly enhance data consistency and facilitate better decision-making across all levels of the enterprise.
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