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Data Analytics Services and Solutions

Solve problems, build value.

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Our primary goal is to solve complex business problems, and this theme is woven into our data analytics consulting approach.

Whether crafting your data strategy, building a data warehouse or designing a custom solution to meet your unique needs, our consultants go beyond building technology.

We take a holistic approach using data to solve business problems and capture opportunities. We look at the people, processes and technology surrounding data and analytics to deliver insights within the context of your business.

High-functioning data and analytics capabilities center around enabling the business to ask better questions – and get better answers – with consistency, a high degree of trust and timeliness.

Our Related Services

A modern data platform covers the entirety of the data ecosystem you need to support your evolving business. From Data Lakes, Lakehouses and Warehouses to Data Engineering and Governance, we can help you drive value out of your data in all of it – plus the tools and processes within.

Our framework allows for driving actionable insights from data generated and flowing at varying velocities using unbiased and greedy ingestion principles.

We employ contextual governance and data quality paradigms and enable consumption perspectives that combine fast atomic and slower harmonized and aggregated information.

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Data Consultants

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of Successful Data Implementations

Centric has played a pivotal role in the successful establishment of our data warehouse. Their teams have demonstrated the ability to get up-to-speed quickly on the details of our operations, allowing them to tailor the final product in a way that is most beneficial to our end users. Their technical expertise and breadth of knowledge have been evident since day one. They have truly acted as a partner throughout the project, working side-by-side with our teams to ensure a successful release.

Troy LePage, Chief Operating Officer, Executive Vice President, and Assistant Treasurer, HAI Group

Our Data & Analytics Solutions

Our Modern Analytics Platform (MAP) is based on best data architectural practices for business use cases and analytics enablement, using modern principles of cloud computing.

Our Modern Analytics Platform leverages a series of proven accelerators and a value-driven delivery approach to ensure your organization can go from zero to data-driven in a sustainable way that drives incremental ROI.

We’ll use our MAP to incorporate your enterprise data into a Modern Analytics Architecture, enabling business intelligence, advanced analytics, scalability and interoperability.

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How Our Data Consultants Help Your Success

We bring unmatched experiences that take many forms. Our consultants are committed to helping clients focus on driving business value from analytics, while the technical solution is the secondary goal.

To facilitate the adoption of our services, we commit to educating stakeholders and streamlining our knowledge to ensure everyone on the client’s team has the information they need. In doing so, we guarantee the longevity and sustainability of our solutions.

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What Makes Us Different

Passionate and purposeful, our consultants bring deep and diverse skillsets with a desire to dig in and do the work, no matter what — measuring success by results, not promises.

Our People

Our Data Analytics FAQs

What are the primary services you offer under data analytics?

We offer Data Modernization Services that help clients build around descriptive analytics, predictive analytics, and prescriptive analytics. These systems leverage modern, cloud-based technologies and modern data warehouse patterns to create extremely flexible systems that can scale and evolve with your business.

How do you approach data modernization for businesses?

We take a business value first based approach to modernizing our client’s approach to data. This is driven by diving deep into the business strategy of our customers and understanding the underlying use cases they need to tackle their biggest challenges. These use cases and the resulting data driven solutions form the basis for how we chart a customer’s data modernization journey.

Can you provide examples of successful data analytics projects you have completed?

Centric has completed numerous data modernization projects for clients in multiple industries. From Insurance and Financial Services to Manufacturing & Retail, we have helped hundreds of clients modernize their data approach. We’ve also helped clients solve more tactical concerns around Data Migrations, Platform Migrations and Visualization Design and Development.

What methodologies do you use for data governance and ensuring data quality?

We use an agile, minimally invasive approach to data governance and data quality, emphasizing early and frequent delivery of business value and gaining leadership support. Our mature methodology integrates agile principles with data governance to address common data quality challenges and promote adoption. With a focus on creating a minimally viable product (MVP) for data governance, we continuously refined based on feedback from employees and stakeholders.

How do you integrate machine learning and AI into your data analytics solutions

We guide our clients towards modern data platforms and practices that take advantage of available AI solutions. Well managed data in cloud solutions with effective metadata is set up for consumption by both traditional machine learning and generative AI solutions. Along with technical solutions, we provide policy and process guidance as a part of our larger data modernization services and data strategy recommendations. Our AI offerings span each service offering and industry vertical to align the solution with business domain SMEs (subject matter experts).

What strategies do you use for visualizing data insights and making them actionable?

We focus on data strategy and roadmaps to drive actionable insights for our clients. We leverage our robust data warehouse and medallion marts to create large scale enterprise grade semantic models and prepare the data for visualization. Our team of data visualization experts not only help identify, evaluate and implement the best tools for dashboard solutions but also create a platform for sustainable self-service BI. We have crafted an adoption roadmap of the data visualization tools ranging from data culture and governance to mentoring and user enablement. This includes training, best practices, and extended support for various maturity levels.

How do you ensure that your data analytics solutions are scalable and adaptable to future needs?

Our team leverages modern data warehousing approaches and medallion architectures to ensure broad scalability. Most important, however, is a clear data modeling approach that aligns our warehouse and mart models to your business model, not your source systems. This is crucial to making sure that the data we deliver to your organization is aligned with how they want to consume it. All businesses evolve, your data model must align and evolve with it or every change to your business will have a multiplier effect on the change to your data environment.