42 Data engineering services, namely, designing computer systems for identifying data to use when developing strategic recommendations for identifying desired organizational outcomes and providing such data to and for use by, various end points, namely, storage and warehousing systems, business intelligence processes, data science models, data applications, and data monetization systems; Data observability services, namely, monitoring of computer systems for observing data across an organization for consistency and change; Data operations services, namely, providing online non-downloadable software and implementing computer software systems solutions featuring processes to improve the quality, speed, and collaboration of and between datasets to obtain desired organizational outcomes; Data Architecture services, namely, technical consulting services in the fields of assisting in the selection and implementation of data architectures to support an organization's current and future data management needs, and assisting in the selection and implementation of data transformation, distribution and consumption systems; Data information services, namely, providing technical computer systems development information related to data systems integrations, data flows, and data modeling and providing information related to data system performance and cost optimization; Design and implementing of computer systems for data mining to support data visualization that enables data-driven organizational decisions; Designing computer technologies for data processes; Data science services, namely designing, building, and managing sustainable and scalable data processing computer systems for data preparation, data modeling, data testing and data deployment, and data monitoring computer systems for machine learning; Developing and providing online non-downloadable software applications that utilize vast amounts of data for data analysis; Developing and providing online non-downloadable software applications that access and utilize dataset information through the use of machine learning, statistics, and database systems; Developing and providing online non-downloadable software applications for migrating data and reports from legacy systems leveraging software processes and machine learning; Software development, namely, improving existing software applications through the use of one or more datasets; Software development, namely, improving existing software applications through the use of one or more data-implemented systems
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