We understand how daunting initiatives like yours might seem. After decades of working with some of the largest corporations on their most complex initiatives, our strategists, data and AI engineers, governance and visualization experts, and process and change managers are well-prepared to help your organization succeed.
Our tried and true methods are grouped in four broad processes.
Business strategy should always drive your data strategy. We help scope initiatives, define sequencing, and quantify and qualify the impact of these changes to your organization's strategic goals.
Building a new data platform or optimizing an existing one starts with understanding your current capabilities, tech limitations, and risks. We help you focus on the most impactful steps toward meeting your business goals.
It is an art to organize data to balance performance demands and useability for business users across the many data platform and tools paradigms available today.
We ensure that modeling patterns such as NoSQL, multi-modal, dimensional/star schema, and relational architectures align with your objectives and use cases.
Reference and Master Data Management (RDM & MDM) are often grouped with data governance.
We consider them separate practices that require a nuanced understanding of data integration best practices and tooling.
Data literacy & governance is at the core of every successful data program.
Our approach to data governance is steeped in change management best practices. We help clients drive accountability across the data life cycle so that everyone understands and trusts how insights are created.
We design, architect, and implement modern cloud-based data platforms.
From efficient data ingestion to business-rule-driven data transformations, reusable data products, and secure storage and consumption, we design for flexibility and assume change.
We design and develop custom AI solutions tailored to your specific needs. Our team can help you automate tasks, improve predictions, and gain deeper insights from your data.
Whether you're looking to personalize customer experiences, optimize operations, or unlock hidden patterns, we can help you implement AI solutions for common use cases like fraud detection, predictive maintenance, and intelligent chatbots.
Effective data communication requires clean and concise visuals to help you focus on the right data to make the best decisions.
Our expertise with Power BI, Tableau, and Qlik enables us to construct useful data stories and presentations that are actionable and easily understood.
One of the most common challenges clients face is integrating data that lives in a nest of legacy systems managed by siloed teams.
We can help design and architect data products that abstract those complexities so business users can easily find, access, and trust vital data.
The best instructions, strategies, and plans are not enough to ensure the success of a data initiative.
We have decades of experience leading teams of three to more than 100. We can help your teams embrace sound Agile practices, coach future leaders, and, most importantly, facilitate on-time delivery of your projects.
We will dig into source data, code, and product configurations to help you understand why you are not seeing the performance or results you expected.
Just as important is helping your teams implement sound engineering and quality assurance practices so there are no surprises when you push to Production.
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