Data Strategy
Garner Consulting aligns appropriate data strategies and technologies to serve your unique business needs to accelerate exploration, discovery, & prototyping, support BI, reduce time to market, increase agility, quicken ROI, reduce data duplication, and support data governance.
Effective data strategies unlock the potential of the vast amounts of information available from myriad available data sources. Explore the value of data-driven business!
Effective data strategies unlock the potential of the vast amounts of information available from myriad available data sources. Explore the value of data-driven business!
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Data Governance
Data governance provides guidelines and standardization to all parts of data, reporting, BI, and analytics, giving sufficient reason to be confident in, and depend on, the results of these efforts. Garner Consulting can help evangelize and implement all foundational elements required to ensure data governance success and maximize the value of your information assets. Data Accessibility
Data accessibility takes data security and privacy into consideration and makes clean integrated data available for reports, dashboards, and analytics. There are many manners of making data accessible. The building of shared re-usable information assets drives efficiency and accuracy throughout your organization. |
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Data Profiling, Data Quality
Data profiling is an essential element of data quality and it provides the identification and remediation of problems in your underlying data as defined by business and technical data quality rules. These problems can be manually or automatically resolved as part of your data profiling and quality efforts. This remediation provides the end result of data quality and improves the value and accuracy for BI, analytics, and operational needs. |
Metadata Management, Business Glossaries, Data Dictionaries
Applying the principals of metadata management consistently lays the foundation for a data dictionary and business glossary. A business glossary provides your staff with an easy to use repository of business definitions that are both unique to your organization and common to your industry. Integration among your business glossary and data dictionary provides further advantage by creating context-relevant perspective of the data. The data dictionary provides a directory and definitions for your data sources and the various date elements within those sources. This repository facilitates data lookup, identification, and location for analytical, BI, and project needs. |
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Reporting, BI, Analytics
Business Intelligence, reporting and analytics is the reason we do all of the previous steps and make it possible to target analysis to answer problems and discover insights in the most efficient and accurate manner.
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Data Ingestion
Data ingestion is the process of collecting and storing data from original or upstream data sources. It is the starting point for any BI or Analytics related effort.
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Data Integration
Data integration is the process of cleaning, modeling, and aggregating data in preparation for BI or Analytics.
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Data Storage - Modern Data Platforms
Data stores, or databases, house data when it is at rest and each one is designed for specific purposes including transactional, analytical, relationship analysis, and document-oriented use cases.
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