At Data Quality as a Service, we started with a vision of providing industry leading data strategy, data quality and AI strategy services to organizations large and small. The pressure is on your data to enable your business across your business domains and provide high quality and trusted data into the next giant leap into predictive and
At Data Quality as a Service, we started with a vision of providing industry leading data strategy, data quality and AI strategy services to organizations large and small. The pressure is on your data to enable your business across your business domains and provide high quality and trusted data into the next giant leap into predictive and generative AI. We believe in building long-lasting relationships with our clients and helping them achieve their data-centric business goals with unquestionable success.
With years of experience with SaaS and hybrid applications, data platforms, Acclaimed authors, Data Product creators, heavy AI/Big Data, Master Data Management (MDM), Integration platforms, data governance/regulatory compliance/data residency and data quality methods, we've honed our skills in providing a targeted range of Data Quality as
With years of experience with SaaS and hybrid applications, data platforms, Acclaimed authors, Data Product creators, heavy AI/Big Data, Master Data Management (MDM), Integration platforms, data governance/regulatory compliance/data residency and data quality methods, we've honed our skills in providing a targeted range of Data Quality as a Service (DQaaS) and AI offerings.
You must solve your data quality debt "BEFORE" you step into the next generation of AI and beyond.
At Data Quality as a Service, we believe in providing personalized solutions and a safe and complete data path for our clients. We understand that every business is unique, and so are its DATA and AI needs. That's why we work closely with our clients to understand their requirements and provide tailored solutions, tools, assessments, and
At Data Quality as a Service, we believe in providing personalized solutions and a safe and complete data path for our clients. We understand that every business is unique, and so are its DATA and AI needs. That's why we work closely with our clients to understand their requirements and provide tailored solutions, tools, assessments, and roadmaps that deliver enormous value for years to come.
Simply put, INVEST IN THE QUALITY OF YOUR DATA ASSETS!
Our team members are former chief architects, chief technology officers, chief information officers, and widely published authors on Data Architecture, Data Quality/MDM, Big Data/AI, and SaaS/Hybrid architectures
From Master Data Management, Data Quality tools and automated validation/assessment, DB Design/Optimization, Data Modeling and Design, AI or big data introductions, to full blown buildouts of data platforms, data lakes, lake houses, models, ML algorithms and tools.
Data Governance, Data Strategy, AI Strategy, AI Governance, Data Quality Standards and Guidelines, Regulatory/Compliance considerations, data residency factors/options, and deep experience with leading AI platforms and DQ platforms. We also do deep data profiling and data assessments with industry tools and AI enabled methods. Determining the critical state of your data quality that runs your business will launch you to the next level of competitiveness.
Is your data ready for primetime? We'll work through a comprehensive assessment of both your data readiness and your AI readiness in quick order to get you going as fast as possible.
Once you have your Data Strategy in place, you'll be able to fully define your emerging AI strategy (Predictive/Generative/Others). Our team members will take you through a framework approach to help you drive out an optimal strategy that is aligned with your business objectives and your technical architecture.
Our team members will take you through a data-centric framework to help you drive out an optimal data strategy that is aligned with your business objectives and your technical architecture. This includes factoring in your AI intentions and company growth goals.
SaaS/hybrid/PaaS Platforms:
Adobe, IBM, Oracle, Microsoft, Salesforce, SAP, Workday, Azure, AWS, and many others.
MDM/DQ Solutions:
- Profisee Adaptive Master Data Management - Oracle Customer Data Management,
- Informatica Master Data Management/360 - IBM InfoSphere Master Data Management and many others.
