- Capabilities
-
- Partners
- Industries
-
-
RETAIL
- ActiveInsightsBuild the profiles combining in-store, e‑commerce, loyalty, and third-party data.
-
Retail
A retailer with thousands of franchise locations modernized their data ecosystem to enable critical data analytics use cases.
View Case Study
-
HEALTH & WELLNESS
- EZConvertETLTransforming healthcare data pipeline by enabling patient data integration
-
Healthcare
A leading healthcare RCM company modernized its data governance to enhance security, streamline access, and boost efficiency.
View Case Study
-
MANUFACTURING
- EZForecastGet Insights into supply chain dynamics and predict production back-log
-
Manufacturing
Discover how Vyaire Medical uses Amazon QuickSight for real-time global sales and forecasting insights, boosting production efficiency.
View Case Study
-
FINANCIAL SERVICES
- EZConvertBIAutomate BI asset migration from legacy platforms to modern cloud-native tools.
-
Financial Services
A major insurer modernized its operations by implementing a cloud-based data strategy, enabling faster reporting, improved scalability, and better regulatory compliance.
View Case Study
-
-
- Company
-
- Resources
-
How to Ensure You Partner with the Right Data Analytics Consultants [Checklist]
According to industry research, many firms still make fewer than half of their decisions based on quantitative information, and poor data quality is estimated to cost organizations trillions of dollars annually.[1]
In a world where customers drive demand and disruptors rapidly gain market share, advancing digital transformation across your organization is essential. Such a structural shift requires ongoing support from a dedicated team, which is where data analytics consultants become critical partners.[1]
This checklist outlines seven critical factors and related questions to consider when evaluating data analytics consulting firms. For more depth on the benefits and services these consultants provide, you can pair this with a more detailed foundational guide.[1]
Client-first approach
- Do they offer an end-to-end approach to help with all your data and analytics needs?
- Will you have support from experienced data analytics professionals or mainly a junior team?
Support structure
- Are they available across the globe to provide support when you need it?
- How do they manage projects and change requests?
Technology agnostic
- Do they collaborate effectively with your existing or preferred technology providers?
- Do they hold competencies, certifications, or recognition from their technology partners?
Industry knowledge and business expertise
- Do they have the level of business acumen needed to achieve your objectives?
- Do their consultants have experience in your specific industry?
Advanced analytics focus
- Do they have data scientists who can develop models using machine learning and AI to support predictive and prescriptive decisions?
- Do they offer modern data architecture services that leverage machine learning, AI, and cloud strategies for robust analytics solutions?
Nimble and ready to scale
- Are they prepared to scale your most valuable data and analytics initiatives, and how quickly can they do it?
- Do they offer accelerators that can decrease the time and cost of your projects?
Success metrics
- Do they have referenceable clients or technology partners who can speak to their results?
- Do they have relevant case studies they can share to illustrate their impact?
[1](https://ppl-ai-file-upload.s3.amazonaws.com/web/direct-files/attachments/26989057/9d5a3bb4-9ce0-4f96-9299-2917ffc2adbc/paste.txt)