What We Do

Business Problems

Everyone knows about the importance of leveraging data for competitive advantage. But what kinds of business problems can data really solve? Here are the kinds of challenges we’ve helped our clients address with data:

• Increase customer retention
• Increase digital product engagement
• Increase patient engagement
• Increase conversion rates
• Maximize productivity of your data organization
• Minimize system failures
• Decrease fraud
• Ensure proper management of data rights
• Add revenue-generating features
• Develop revenue-generating data products
• Increase revenue through up-selling or cross-selling
• Anticipate seasonal and holiday effects on business
• Increase ROI on data investments
• Increase ROI on marketing campaigns

Data Solutions

Here are some of the ways we help our clients use data to address their business problems:

Digital Product Analytics

Increase revenue and reduce churn by enabling truly data-driven product development supported by experimentation and usage patterns. Learn more…

Customer Knowledge

Increase sales, engagement, and operational performance by knowing your customer, so you can tailor your products to meet their needs, and optimize their experience. Learn more…

Data Science Opportunity Assessment

Locate, define, and launch the most valuable data science projects for your business. Learn more…

Predictive Analytics

Guide business-critical decisions by analyzing historical patterns in your data to gauge potential risk and opportunity.

Patient Engagement

Increase engagement by focusing on how patients actually consume, behave, and make choices about their care.

Text Analytics

Decode meaning from your conversations to raise brand perception and improve customer satisfaction.

Forecasting

Increase the accuracy and timeliness of your forecasts for cost and profit with statistically validated models.

Optimization

Match resources to demand by identifying efficiencies and removing bottlenecks in your operations.

Workload Migration

Enable new use cases, improve scalability, and lower overall total cost of ownership (TCO) by reliably migrating existing workloads to modern, best-of-breed data architectures.

Technology and Architecture Benchmarking

Decrease development time and improve service-level agreements (SLAs) for your data systems by quickly validating your design decisions with empirical evidence.

Modern Data Platforms

Maximize your investment in modern data platforms by building them the right way.

Data Governance

Bring accountability to how your organization uses modern technologies, tracking data assets and quality across the information lifecycle.

Cloud Strategy for Data Platforms and Infrastructure

Meet your growing analytics needs by selecting the services, providers, tools, platforms, and patterns to migrate infrastructure to a cloud service provider.

Data Maturity Assessment

Concrete recommendations for your organization to move from data-apathetic to data-driven focused on outcomes over operations.

Data Gaps Assessment

Know how your data sets and sources support or hinder your business aspirations throughout your enterprise.

Strategic Workload Assessment

Align your technical roadmap and business priorities with a set of common technical patterns mapping to your operational and analytical objectives.

Case Studies

You can read a variety of case studies from our client work on our Case Studies page. The following are a few selected highlights, meant to give you an idea of the value we’ve delivered for our clients.

Driving revenue with actionable customer insights

A major global sportswear client asked SVDS to help gain a richer, more meaningful, and actionable understanding of their customer. The client had new sources of data in fitness tracking devices as well as usage information from mobile applications for exercise. After building an analytical platform and integrating the disparate data sources, SVDS was able to construct behavioral profiles of customers, discover new customer segments, and ultimately change the client’s understanding of its high-value customers. These insights led directly to more informed and targeted product marketing strategies, helping to drive revenue and profitability goals.

Navigating digitization within the hardware industry

An industrial client ($4B market leader in bar-code scanners, printers, tablets, RFIDs, location solutions) embarked on a transformation to become more than a hardware and software provider, by bringing new data products to market. The client recognized that the foundation of this transition was their data—and more specifically, the ability to create intelligent environments. The challenge was in identifying the proper data strategy to support these ambitions, and identifying the best path to early investment and implementation in a very complex business. Beyond providing a clear strategy and roadmap to begin the transformation from hardware to software, SVDS also identified critical organizational gaps and provided recommendations on the key investments needed to make the most of the data strategy. After a review with the CEO, the company created a new business unit—the “Software Business Unit,” with the sole purpose of implementing the strategy and developing software and services.

Better patient outcomes with data driven-healthcare

A medical device company recognized that in order to compete in an increasingly competitive and uncertain market landscape, they needed to implement a new strategy. To compete under the new norm, leadership determined that the organization needed to evolve from a “device company” to a “data company,” using data generated by its devices, transactional systems, and partners in order to improve care. They turned to SVDS to develop a data platform and new data science capabilities. This collaboration enabled the organization to discover valuable insights with customers and partners—including the impact their devices have in improving patient care and outcomes. The result is the ability to discover new insights, including a richer understanding of customer behavior. With these insights in hand, the client is working with clinical partners to improve patient outcomes, and in doing so is demonstrating the need for their data-driven product in the market.