A data user guide to Data Management strategy

Answering key questions

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Data Engineer

How can I automate data integration tasks to free up more time for higher-level tasks, such as designing data architectures and building data pipelines? What tools can I use to manage data quality and ensure data consistency?

SCIKIQ's platform offers a powerful set of tools for data integration and management. The platform's automated CDC functionality frees up a lot of data engineer time by automatically detecting changes in data sources and propagating those changes to downstream systems. This means that data engineers can spend less time on manual data integration tasks and more time on higher-level tasks, such as designing data architectures and building data pipelines.

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Data Analyst

How can I easily find and access the data I need for my analyses? What tools can I use to ensure the data is trustworthy and accurate? How can I improve the quality of data assets and collaborate with other teams to do so?

SCIKIQ's platform offers powerful data discovery and search capabilities. The platform's metadata search box allows users to easily find and access the data they need, while the platform's data lineage and governance capabilities ensure that users can trust the data they are working with. Additionally, the platform's automated data quality checks and profiling functionality help ensure that data is consistent, accurate, and trustworthy.

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Data Steward

How can I ensure that data assets are properly governed and managed? How can I easily view and manage data assets, and ensure that the data is consistent, accurate, and trustworthy? What tools can I use to collaborate with other teams to improve the quality of data assets?

SCIKIQ's platform offers a centralized platform for managing data lineage and governance. The platform's data catalog capabilities allow data stewards to easily view and manage data assets, while the platform's automated data quality checks and profiling functionality help ensure that data is consistent, accurate, and trustworthy. Additionally, the platform's collaboration tools make it easy for teams to work together to improve the quality of data assets.

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Chief Data Officers

How can I manage the data ecosystem and ensure that the organization is making informed decisions based on accurate and trustworthy data? What tools can I use to discover and access the data needed for decision-making, and ensure that the data is properly governed and managed? How can I collaborate with other teams to improve the quality of data assets?

SCIKIQ's platform offers a powerful set of tools for managing the data ecosystem. The platform's data discovery and search capabilities make it easy to find and access the data needed to make informed decisions, while the platform's data lineage and governance capabilities ensure that the data is trustworthy. The platform's automated data quality checks and profiling functionality help ensure that data is consistent, accurate, and trustworthy. Additionally, the platform's collaboration tools make it easy for teams to work together to improve the quality of data assets.

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BI developers

How can I quickly and easily access the data I need for my reports and dashboards? How can I ensure that the data is accurate and up-to-date, and reduce the risk of errors that can occur when manually extracting and transforming data? What tools can I use to improve the quality of data assets and collaborate with other teams to do so?

SCIKIQ's Data Fabric can make their job easier by providing a single source of truth for data. With its drag-and-drop interface and no-code approach, BI developers can quickly and easily access the data they need without having to rely on IT or data engineers to extract and transform the data. This not only frees up time for BI developers but also reduces the risk of errors that can occur when manually extracting and transforming data. SCIKIQ's Data Fabric also includes automated CDC (Change Data Capture), which can help keep BI developers up-to-date with the latest changes in data. This means that BI developers can be more responsive to changing business needs and can make more informed decisions based on the most current data.

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Data Scientist

How can I quickly and easily identify the best data assets for my models, and ensure that the data is accurate and consistent? How can I spend less time on data preparation and more time building accurate and effective models? What tools can I use to perform automated data quality checks and identify potential issues that may impact the accuracy of my models?

SCIKIQ's Data Fabric provides access to a comprehensive metadata store that captures detailed information about data assets and their lineage. This metadata store can be used to identify data assets that are relevant to a specific data science project and to trace the origin and transformation of data throughout the entire data pipeline. The metadata store also includes information about the quality of data assets, which can be used to identify potential issues that may impact the accuracy of data science models. This means that data scientists can spend less time on data preparation and more time on building accurate and effective models.



In addition, SCIKIQ's Data Fabric includes a variety of ML models that can be used to classify information, identify relationships between data assets, and perform automated data quality checks. This means that data scientists can use SCIKIQ's Data Fabric to quickly and easily identify the best data assets for their models and to ensure that the data they are using is accurate and consistent.