How we work
At Silicon Valley Data Science we work with you to drive your business forward through smart use of data: to decide faster, create new capabilities and identify critical insights.
Using data effectively requires both great data engineering and great data science, and our team-based approach ensures you have access to the best of both disciplines. We build our teams with skilled experts who stay together, cultivating a repeat record of success, and allowing us to hit the ground running.
Our consulting engagements range from advisory and strategy services, providing education and investigation, through proofs of concept and pilot implementations, to full scale production systems supporting data-driven business processes.
We typically start our journey with a collaborative workshop, evaluating business opportunities for your data, and exploring architectures and applications of big data and data science. At every step of the way we aim to deliver value and incorporate direction as early as possible.
What we do
Successful investments in data begin with business needs in mind: defining a data strategy and development roadmap pays great dividends and helps realize value quickly. At every stage, from planning through to production, we work across both data engineering and data science. While different projects will use each in different proportion, both are vital. You can’t make good decisions without good data, and you can’t get good data without good engineering.
Advisory and Strategy
We work with your business, product and technology leaders to analyze and articulate a data strategy. Our team will connect your business objectives to data requirements and technical needs. We will build a data strategy with you that incorporates your business objectives, and provides a development roadmap for realizing benefit as quickly as possible. Our collaborative approach ensures that participants become effective advocates for your data strategy within your organization
Data-Driven Product Plans
Working with your product managers, we will identify a path to creating or enhancing your data-driven products. We can provide guidance on your product plans, help you coordinate activity between your product and technology organization, and create product roadmaps that achieve your business goals.
We can translate business and product plans into specific technology development roadmaps. Our roadmaps are designed around building strategic capabilities, with broad applicability to your strategic business objectives. Our team is well versed in agile and iterative development techniques, and can assist you in creating a technology roadmap to guide developers and rapidly realize benefit.
Our team has exposure to many of the fundamental building blocks in big data as well as analytic packages to extract insight. We stay up to date on the latest innovations coming out of software companies in the Silicon Valley and elsewhere, and contribute to the open source projects that form the basis of much big data technology. We are available on a retainer basis to provide technology advisory services for those who want a perspective into the industry. We can also assist with build vs. buy recommendations.
Architecture Roadmap & Design
We build roadmaps and strategies that deliver value early. The Silicon Valley approach of “fail fast” ensures you won’t spend time and money on unproductive paths. We deliver an architecture that will be the foundation for successful implementation, and which can evolve and scale for the future. Detailed design includes functional architecture diagrams, integration specifications, data management approaches and analytical capabilities. Additionally, we can help educate your team and ready them for new techniques and technologies.
We can provide detailed evaluation of proposed designs, project plans, staffing models and execution roadmaps. By providing the benefit of our experience, and deep knowledge of the big data industry, we’ll help you avoid pitfalls and wasted resources.
Technology Evaluation & Benchmarking
Through benchmarking existing systems, we can give you valuable insight into how their scale and performance profiles relate to others: to help you understand your platform, and prioritize investments around both capabilities and performance. We ensure that proposed new technology choices are fit-for-purpose by delivering lightweight proofs of concept that give the confidence to move forward.
Data Modeling & Processing
We design data schemas and models, embracing the full array of modern storage approaches: including relational, non-relational and file-based storage strategies. When it comes to data processing, we have deep experience in scalable, distributed architectures, from real-time streams to massively parallel batch processing.
Critical to real-world enterprise implementations, data management encompasses governance, data quality and security. We can build enterprise data platforms that liberate data from organizational silos, managed with confidence through data governance, lineage and access controls.
Through an agile development approach, we ensure responsive, timely and quality build of solutions, incorporating testing and QA as an integral part of our approach. Thanks to the iterative and business-aware attitude of Silicon Valley software development, we deliver real business value as quickly as possible.
We will identify data sources, both internal and external, likely to provide valuable information for specific analytical use cases, or for general enterprise applicability. We can show how unstructured data can be transformed into a valuable input into decision making.
We validate the solution of business problems with insights available from your data. For instance, we might evaluate enterprise work order data for its ability to help understand equipment failure, generating hypotheses around the relationship between training, equipment condition, and maintenance outcomes.
Visualization is important throughout an engagement to bring understanding and life to the underlying data science. We can build both custom and tool-based data visualizations that enable exploration and communication of data and insights. At early stages we provide rich mockups that help build understanding with the parts of the business the work is designed to support.
Data Profiling & Cleansing
Descriptive profiling and generation of summary statistics for data sources enables us to understand variance, sparseness, and other critical characteristics. We will evaluate data for hygiene and its utility in helping diagnose problems or predict outcomes.
We design, build and evaluate mathematical models to enable scoring, prediction, categorization and other workloads. We also implement model management strategies, encompassing storage, version control, and deployment services. As part of a mature solution, we design and implement model audit trail and compliance strategies.
Application Design & Prototyping
From mockups through pilots and production, we build application interfaces such as dashboards or embedded capabilities in other applications (e.g. dispatch apps for fleet management), using advanced visualization capabilities. We emphasize providing key functionality at an early stage, ensuring early validation of the core application value.
Relishing tough problems and fast time-to-value, we bring the best engineering and data science skills to focus on your business. Our teams' experience ranges over diverse industries and technologies. We are vendor-agnostic, selecting the best tools for the job.
Our team members have worked on data-driven solutions in a broad selection of industries, including:
- Technology (Hardware, Storage, Network, Cable, Internet)
- Digital Marketing & Analytics, Social Media
- Utilities, Transmission and Distribution, Smart Grid
- Cloud Services
- State & Federal Government
- Defense & Intelligence
- Capital Markets, Financial Engineering, Derivatives
- Oil & Gas
- Shipping & Logistics, Supply Chain
We'll always pick the best tool for the job, but here are some major technologies with which we have extensive experience.