Data Strategy and Governance
An effective data strategy prompts informed decision making and drives success through evidence-based conclusions and measurable results. In addition, data fuels an automation revolution powered by artificial intelligence.
Organizations that prepare for this revolution will achieve or maintain a competitive advantage for years to come.
Data governance is a key component of an appropriate data strategy—allowing you to maximize data value while minimizing associated risks and issues. See how we can help you collect, store and use data and prevent data-related problems, security breaches and ethical problems.
Smarter, faster decision-making and AI innovation begin with a modern data strategy. Whether you’re being held back by siloed data, analytics that aren’t informing critical decisions or a data foundation that doesn’t support your changing business needs, we can help.
Our experts work with you to understand your unique goals and desired business outcomes before architecting a strategy that aligns with those ends. Leveraging best-of-breed technologies and scalable frameworks, we put our practical experience to work to collect, process, transform, structure and deliver data in a way that empowers business users and fuels growth.
Without effective data governance and master data management, even the best data and analytics strategies can be derailed by quality, confidence and access issues. Our comprehensive data governance solutions ensure your data strategy continuously performs in a way that propels your business forward, regardless of priority shifts, organizational changes or technology updates.
Better than a silver bullet
A modern data and analytics strategy is essential to maximizing cloud data platform investments. Discover the three key pillars of a successful cloud strategy.
Simplifying the complex by tailoring data strategies to the realities of your business
The data strategies we co-create with our clients, supported by cohesive data governance, establish a single source of truth across all internal stakeholder audiences. The result: decisions are made faster, innovations are implemented more efficiently and outcomes are achieved with a higher degree of success.
Our Services
Data Quality
Organizations need to take several steps to ensure the quality of data, including the development of policies and procedures for data handling, implementation of data quality checks and controls, monitoring tools, along with regular audits and training.
Data Management Strategy
Develop a data management strategy that defines data integration, storage and security, privacy and compliance. Build strategies to leverage your data and monitor performance. Create an actionable roadmap to improve data and intelligence capabilities over time with reduced risk and a focus on business outcomes.
Data Governance
Develop a modern data governance framework that enables self-service and ensures that assets are properly managed and protected throughout their lifecycle. Get the most value from your data by helping you establish the right operating model, policies, rules and procedures to support your strategic goals and objectives.
Master Data
Master data is used to identify and describe business entities, processes and systems. We help pinpoint the master data domains, establish data standards for each domain, implement data governance processes, identify systems of record for each master data set and capture requirements for integrating the data across various systems.
Reference Data
Reference data is used to define and classify other data. We help you identify, source and integrate reference data into your data ecosystem to enrich your analytical capabilities.
Metadata
Metadata plays a critical role in helping to understand, manage and effectively use data assets. Establish standards, identify appropriate schemas and select the most effective metadata management tools. Unlock the value of your business, technical and operational metadata to help drive automation and improve data literacy across the enterprise.
Strategy + product mindset = cost-saving analytics
We helped this building products manufacturer move from a chaotic data landscape to a modern data strategy and scalable analytics product platform that enables rapid, value-based decision-making. One example of the impact: a freight lane analytics solution powered by data from Snowflake’s Data Marketplace that’s delivering an estimated $3M–$5M in annual savings.