Data Consulting Services | Data Management Consulting Services

Data management consulting services

Take control of your data across its entire lifecycle. Effective data management is the critical practice of collecting, storing, protecting, and using data in a way that is secure, efficient, and cost-effective. Our data management consulting services help you develop and implement a holistic data management strategy that breaks down silos, improves data quality, and ensures your information assets are always ready to power your most critical business decisions and analytics initiatives.

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Pythian has the top data management consultants

Our data management consulting is delivered by a team of certified experts using proven methodologies to build a cohesive and optimized data ecosystem for your business. We help you implement the right processes and technologies to improve data quality, streamline operations, and drive business value.

25+

Years of experience

For over two decades, we have been helping the world's leading organizations solve their most complex data challenges.

45+

Data technologies supported

Pythian supports over 45 technologies—from cloud platforms and data warehouses to data lakes and databases—ensuring we can design a data management strategy that fits your unique technology stack.

500+

Global customers

As a global service provider, we serve customers across the world, many who have been with us for decades, trusting us to manage the critical data that runs their business.

What's included in Pythian's data management consulting services?

An integrated approach to the data lifecycle

Our data management consulting is a comprehensive service designed to address every stage of your data's journey. We create a strategic, actionable roadmap to build an efficient, secure, and well-governed data ecosystem that delivers sustained business value.

Data management strategy and assessment

We begin by assessing your current data management practices, platforms, and pain points to understand your maturity level. Our consultants then collaborate with your stakeholders to develop a strategic roadmap that aligns with your specific business objectives.

Data architecture and modeling

We help you design and implement a modern data architecture—including data warehouses, data lakes, or a lakehouse—that serves as the foundation for your data ecosystem. This includes creating robust data models to ensure data is structured and stored for optimal performance.

Data integration and pipeline development

Our team designs and builds scalable ETL/ELT pipelines to integrate data from disparate sources into a centralized platform. We ensure a seamless and reliable flow of information across your organization, from source systems to analytics platforms.

Data governance and quality

We help you establish a comprehensive data governance framework to ensure your data is secure, consistent, and compliant. This includes implementing robust data quality processes to monitor, measure, and remediate data issues, ensuring you can trust your data.

Master data management (MDM)

We help you create a single source of truth for your most critical data domains, such as customers, products, and suppliers. Our consultants assist in implementing MDM solutions to ensure your core data is consistently defined and managed across the enterprise.

A global telco drives campaign success with a unified data platform

A leading telecommunications provider needed to create a single version of the truth to better understand customer behavior and optimize its marketing campaigns. By building a new, governed analytics platform on Google Cloud, they were able to leverage high-quality, trusted data to personalize customer offers, resulting in a 10% uplift in average revenue per user (ARPU).

Business outcomes you can expect from our data management consulting service

Turn your data into a strategic business asset

A modern data management framework is the foundational step for any business looking to become truly data-driven. We help you implement a program that builds trust, reduces risk, and simplifies workflows, allowing you to innovate faster and make more confident decisions.

Improve data-driven decision-making

Centralize your data and establish a single source of truth for your key metrics and entities. A well-managed data ecosystem makes data more accessible, reliable, and timely, empowering your teams to make faster, more accurate decisions.

Increase operational efficiency

Reduce the time your teams spend searching for, validating, and wrangling data. By creating a well-documented and integrated data ecosystem, you streamline workflows and empower employees to focus on value-added activities.

Enhance data security and compliance

Implement robust security controls and governance as part of your data management practice. We help you establish clear policies for data access, handling, and classification, ensuring your sensitive information is protected and that you can meet strict regulatory requirements.

Accelerate time-to-insight

Provide your analytics and data science teams with high-quality, reliable data. An effective data management strategy ensures that data is ready for consumption, reducing preparation time and allowing your teams to focus on generating valuable insights.

How Pythian's data management consulting service works

A proven process for an optimized data ecosystem

As an experienced data partner, our consultants use a proven process to build a sustainable data management program that accelerates innovation, reduces costs, and strengthens security from day one.

Discovery and assessment

We begin by assessing your current data systems, maturity, and business processes to understand their connections and identify key challenges and opportunities.

Strategy and roadmap design

We analyze your environment to create a detailed data management framework and strategic roadmap. This includes defining policies, standards, and an architectural blueprint tailored to your needs.

Implementation and integration

Our team manages the full implementation of your data management program. We help deploy technologies, build data pipelines, and integrate your data sources to ensure a successful rollout.

Optimization and management

Our support extends beyond implementation. We offer post-launch managed services to support your day-to-day data operations, including continuous monitoring, performance tuning, and cost management.

Build a foundation of trust in your data

Ready to establish a robust data management framework?

Related resources

Learn how our customers succeed with data management consulting

Explore technical insights and learn how our customers succeed with modern data management.

Frequently asked questions (FAQ) about data management consulting

What is data management consulting?

Data management consulting services are provided by an experienced partner like Pythian to help you design, build, and optimize the processes and systems used to manage your data assets across their entire lifecycle. We use a proven process to help improve data quality, security, integration, and governance.

What is the difference between data management and data governance?

Data governance is a key component within the broader field of data management. Data governance focuses on setting the policies, standards, and rules for data, while data management is the implementation and execution of those policies through architecture, security, and operations to control the full data lifecycle.

What is included in your data management consulting services?

Our data management consulting services cover the entire project lifecycle. We begin with a comprehensive assessment of your current environment, then create a detailed strategic design and implementation roadmap for your data architecture, pipelines, and governance framework. We manage the deployment and can offer post-launch managed services for ongoing support.

 

How can better data management improve my business?

Better data management improves business by building a foundation of trust in your data, which leads to more accurate reporting and analytics. It also improves operational efficiency by making data easier to find and use, and it helps mitigate risks by strengthening data security and ensuring regulatory compliance.

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