HAKKODA

Data strategy services, namely, using data to provide strategic recommendations for identifying desired organizational outcomes, using data to create a plan for obtaining organizational capabilities and maturity levels needed to obtain desired organizational outcomes, using data to create a sequence of initiatives for enabling organizational capabilities and using data to create reference architectures for enabling desired organizational capabilities; Data Governance services, namely, providing data governance services, implementing data policies and standards for gathering, storing, processing and disposing of data, controlling data access, and implementing data catalogs controlling the location, definition, and use of data; Business Intelligence services, namely, designing, implementing, and supporting business intelligence services, analyzing existing data reporting systems, analyzing existing data flow systems, assessing organizational data needs and preparing data-related reports; Improving existing software applications through the use of one or more data-implemented systems; Improving existing software applications through the use of one or more datasets

Data engineering services, namely, 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 data across an organization for consistency and change; Data operations services, namely, providing and implementing systems and process to improve the quality, speed, and collaboration of and between datasets to obtain desired organizational outcomes; Data Architecture services, namely, 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 information related to data systems integrations, data flows, and data modeling and providing information related to data system performance and cost optimization; Data mining services, namely, designing, implementing, and supporting data mining systems and data visualization systems that enable data-driven organizational decisions; Designing data processes; Data science services, namely, designing, building, and managing sustainable and scalable data processing systems, namely, data preparation, data modeling, data testing, data deployment, and data monitoring systems for machine learning; Developing and providing software applications utilizing that utilize vast amounts of data; Developing and providing software applications that access and utilize dataset information through the use of machine learning, statistics, and database systems; Developing and providing software applications