Frequently Asked Questions

Performalytic is a digital strategy and technology consulting firm that helps enterprises turn data into a competitive advantage. We specialize in data analytics, AI/ML solutions, BI integration, enterprise application development, and DevOps consulting. Our team of 800+ experts delivers end-to-end solutions that drive measurable business outcomes.

We serve a wide range of industries including Financial Services, Healthcare, Retail & E-Commerce, Manufacturing, Technology, Energy & Utilities, and Government. Our solutions are tailored to meet the unique regulatory, operational, and data challenges of each industry vertical.

We have offices in Chicago, IL (111 W. Jackson Blvd, Suite 1700) and Bhubaneswar, Odisha, India (Patia). Our global delivery model allows us to serve clients across North America, Europe, and Asia-Pacific with onshore, nearshore, and offshore engagement options.

Performalytic has a team of 800+ professionals including data scientists, data engineers, AI/ML specialists, software architects, cloud engineers, and business consultants. Our team brings deep domain expertise across multiple industries and technology stacks.

Our differentiation lies in our data-first approach, proprietary AI frameworks, and a product mindset applied to consulting engagements. Unlike traditional firms, we combine deep technical expertise with strategic thinking, deliver measurable ROI within 90 days, and offer ongoing managed services to ensure long-term success.

We work with all major BI and analytics platforms including Power BI, Tableau, Looker, Qlik, Snowflake, Google BigQuery, Amazon Redshift, Azure Synapse, Databricks, and dbt. We help you select, implement, and optimize the right BI stack for your organization's specific needs.

Project timelines vary based on scope and complexity. A focused BI dashboard or report implementation typically takes 4-8 weeks. End-to-end data platform modernization projects range from 3-6 months. We provide detailed project plans with milestones during our discovery phase so you have full visibility into timelines.

Yes, we offer flexible ongoing support options including retainer-based engagements, managed services, SLA-backed support, and dedicated team models. Our managed services include 24/7 monitoring, performance optimization, feature enhancements, and priority incident response.

Absolutely. We specialize in integrating with existing data ecosystems. Whether you use Snowflake, BigQuery, SAP, Oracle, AWS, or Azure, our consultants assess your current infrastructure and design solutions that enhance rather than replace your existing investments. We follow an API-first approach for seamless integration.

We implement a multi-layered data quality framework that includes automated validation rules, ML-powered anomaly detection, data profiling, lineage tracking, and continuous monitoring through our 4DAlert platform. This ensures your data is accurate, complete, consistent, and timely for all downstream analytics and reporting.

Yes, we design, develop, and deploy custom AI/ML models tailored to your specific business problems. Our AI practice covers predictive analytics, NLP, computer vision, recommendation systems, anomaly detection, and generative AI applications. We follow MLOps best practices for production-ready deployments.

Our AI/ML toolkit includes TensorFlow, PyTorch, scikit-learn, Hugging Face Transformers, LangChain, OpenAI APIs, Google Vertex AI, AWS SageMaker, and Azure ML. We select the optimal framework based on your use case, data characteristics, and infrastructure requirements.

Data privacy is built into every stage of our AI development process. We implement data anonymization, differential privacy, federated learning, secure multi-party computation, and access controls. We ensure compliance with GDPR, CCPA, HIPAA, and industry-specific regulations throughout the AI lifecycle.

Our MLOps practice covers the full ML lifecycle: data versioning, experiment tracking, model training pipelines, CI/CD for ML, model monitoring, drift detection, and automated retraining. We use tools like MLflow, Kubeflow, Weights & Biases, and custom orchestration to ensure your models remain performant in production.

Our pricing is based on engagement model and project scope. We offer Time & Materials for flexible engagements, Fixed-Price for well-defined projects, Retainer-based pricing for ongoing support, and Dedicated Team models for long-term partnerships. Contact us for a customized proposal tailored to your specific needs.

Yes, for projects with clearly defined scope, deliverables, and acceptance criteria, we offer fixed-price engagements. This provides budget certainty and is ideal for BI implementations, data migration projects, and proof-of-concept initiatives. We conduct thorough discovery to provide accurate fixed-price estimates.

We work with clients on projects of varying sizes. Our consulting engagements typically start at $50,000 for focused initiatives, with most enterprise projects ranging from $150,000 to $500,000+. We also offer strategic advisory and assessment services for smaller engagements to help you plan your data strategy.

Yes, we offer monthly and quarterly retainer agreements for clients who need ongoing consulting, development, or managed services. Retainer engagements provide priority access to our team, predictable monthly costs, and the flexibility to scale resources up or down based on your needs.