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DataOps

Automated process-oriented methodology used to improve the quality and reduce the cycle time of analytics development in alignment with business goals.

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Streamline your data pipeline, governance, and classification.

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Data catalog

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Data Lineage

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Data Governance

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Data Classifications

DataOps, is a set of practices and processes designed to improve the speed, quality, and reliability of data-driven decision making. It aims to optimize the entire data lifecycle, from data collection and integration to analysis and reporting, through the use of automation, collaboration, and data governance. DataOps focuses on enabling organizations to make better use of their data assets by improving the efficiency and effectiveness of the data pipeline. This includes activities such as data integration, data cleansing, data quality assurance, data security, and data management. DataOps also involves working closely with data scientists, analysts, and other data professionals to ensure that data is being used effectively and efficiently to support business goals and objectives.

CEREBRUM offers a range of services and solutions that help organizations collect, process, and analyze data in order to make informed decisions. We use a variety of tools and techniques, including machine learning and artificial intelligence, to help businesses gain insights from their data and make more informed decisions.

Some examples of the types of services that data analytics companies might offer include:

Data collection and management: collect and organize data from a variety of sources, including databases, social media, web traffic, and more.

Data visualization: create visual representations of data, with charts and graphs, in order to better understand trends and patterns.

Data analysis and modeling: use statistical and machine learning techniques to analyze data and build models that can help make predictions or identify trends.

Decision support: use data and analysis to inform your decision-making processes and improve the efficiency and effectiveness of operations.

Robotic Process Automation

Streamline repetitive tasks and paperless processes with RPA. Save time, cost, and increase productivity.

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