Become a data-driven organization.
Helping clients discover the value of their existing data and database footprints across their entire organization.
Companies know that improper data handling carries huge liabilities and risks for their stakeholders. Proper governance guarantees that data is honest and not misused.
Capture and understand data through discovery engagements, bringing clarity, transparency, and accessibility to a company’s data assets.
Today’s data platforms leverage smart technologies like pattern recognition, data cataloging, data lineage, and machine learning to organize data at scale, enabling organization-wide data collaboration.
Data cleansing tools can remedy inaccurate models. Companies can use these tools and the consulting services around them to ensure all six dimensions of data quality are met—accuracy, completeness, consistency, timeliness, uniqueness, and validity.
Fast-moving and highly complex IT environments sometimes require methodical and disciplined restructuring. Our data refactoring improves code design – nothing more and nothing less.
Whether overhauling a system, upgrading a database, or building a new EDW, data migration is a complicated but necessary process. When eliminating data silos, moving to the cloud, or embarking on a legacy modernization, our team can run alongside and offer tremendous value.
Unify a company’s disparate data or rework the points of integration between data applications. Data integration engagement work helps companies collaborate both internal and external organizations, such as suppliers, business partners, and/or governmental agencies.
Product Perfect provides comprehensive data management services to help clients design, create, store, manage, and best utilize their data efficiently. Our team offers database design, architecture, development, administration, data warehousing, migration, integration, ETL, and performance tuning, with a range of expertise. Our focus includes database security, backup and recovery, and cloud databases, and our team has expertise in SQL, PL/SQL, MySQL, Oracle, Microsoft SQL Server, MongoDB, and Cassandra, to ensure we provide tailored solutions to meet each client's unique data management needs.
Katie Schmidt, Sr. Database Engineer
A data maturity model is a methodology companies employ to build a compliant, democratized, and reliable way to manage and handle data.
Senior consultants with previous experience with these types of projects can set the stage for a well-framed engagement.
A focused session on your specific software applications, platforms, or projects. Typically this includes technical resources from both sides.