Get data services to end your data quality struggles and build trust
Data usage increase is creating both opportunities and challenges. Companies are making more data available to more people, turning to technology that provides guardrails and self-service to ensure experts and generalists alike can leverage data the right way, and building trust while reducing risk.
But with limited data visibility, a lack of lineage and data history, and undeveloped policies and procedures around how data is curated and accessed, businesses cannot effectively access, analyze, and use data.
Our Data Quality solutions instill trust in data and confidence in how data can be analyzed and leveraged within businesses.
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We begin all projects with an assessment phase, which consists of data-deep-dives and qualitative interviews to identify issues, opportunities, and solutions. We apply a five-category scoring methodology and deliver detailed notes on your current state.
The output of this phase is a summary Key Themes and Findings presentation, including a living inventory spreadsheet and a visual representation of the data sources and relationships that make up your environment.
We’ll implement the best practices, select and implement tools, and develop the processes and solutions we defined in the Architect phase. When this phase is complete, you’ll have best-in-class data architecture, governance and data management practices, and tools in place to help you maintain the new standard you’ve set for yourself.
An example deliverable from this phase is a structured, standardized architecture that differentiates between standard and custom data.