We believe maturity is defined by the ability to derive value from data. A data maturity assessment is the first step in developing an action plan for change.
This updated report includes insights and best practices from experienced CDOs to help you transforming your business.
Co-written with the good folks at Continuum Analytics, this report will help you remove layers of technology so you can be more responsive to changing business conditions.
Creating an organization designed for data-informed decision is the key to competing in a world that’s being rapidly digitized.
Whitepapers, position papers, interviews, and other resources
to help you learn more about using data to drive additional value for your business.
The Data Value Chain
CTO John Akred explains the seven steps of the Data Value Chain — discover, ingest, process, persist, integrate, analyze, expose — and how you can put them to work.
Ingesting Data in the Data Value Chain
Ingestion is the process of bringing data into the data processing system. On the IBM Big Data & Analytics Hub, VP of Strategy Edd Wilder-James explains this deceptively simple piece of the Data Value Chain.
Data Discovery in the Data Value Chain
The first step in the Data Value Chain is discovering data. On the IBM Big Data & Analytics Hub, VP of Strategy Edd Wilder-James explains how to evaluate data sources for cost, coverage, and quality.
Gerrymandering and Political Gridlock in the US
We discuss the challenges, results, and future work in analyzing congressional data to understand the impact of gerrymandering.
Visualizing the Evolution of Rock Music
CTO John Akred and SVDS Alumna Susie Lu explain their analysis of rock music in the Big Data Journal.
Agile Data Science Teams Deliver Real World Results
Curious minds and enthusiastic investigators can get distracted by new technology and forget what we’re actually here to do: solve real problems. This post looks at the practical ingredients of managing agile data science teams.
Edmunds case study
Learn how SVDS designed and developed a new capability to automatically extract vehicle features from specification guides and categorize the features into appropriate vehicle classes.
Running Agile Data Science Teams
At the Data Science Pop-Up in Chicago in 2015, Senior Solution Architect Heather Nelson highlighted the benefits of collaborative teams of experts working iteratively, across disciplines, and explain how to manage these teams to successfully and efficiently deliver data analytics projects.
Developing a Modern Enterprise Data Strategy (Video Training)
This series published by O'Reilly Media will walk you through the complete process for creating a data strategy that will help your company solve real business challenges with data.
Data Strategy Within Your Organization
From the Data Science Pop-up in Chicago in 2015, this one-hour fireside chat features VP of Data Strategy Scott Kurth.
Interview: Mining the Field of Big Data Strategies
At the Strata + Hadoop World Conference in New York City in 2013, CTO John Akred discussed his experience with companies that desire to be more data-driven and strategic.
Health Integrated case study
Learn how SVDS performed an in-depth analysis of their business objectives and data environment, then built a roadmap that ties technical capability development to their business aspirations.
Data Strategy Position Paper
SVDS leaders explain our approach to data strategy and the questions you should be asking when evaluating your own business. This position paper also includes a quick checklist.
Software is Eating the World, And You’re For Lunch
At the Data Summit in 2014, VP of Strategy Edd Wilder-James gave a 25-minute session on how to keep on the winning side of change: the secret is in how you view and exploit data.
Interview: Data-Driven Business on theCUBE
At the Hadoop Summit in San Jose in 2013, CEO Sanjay Mathur sat down with theCUBE to discuss data driven businesses and plans for the recently launched Silicon Valley Data Science.
How to Establish Software Capabilities: Realize the Business Power of Your Data
In this paper, learn the steps necessary to develop truly strong data systems—from explaining why you should care about software development best practices, to understanding the impact of data and distributed systems on development and operations, and finally looking at the capabilities and practices what will help your efforts succeed.
Interview: Data Engineering
At the Strata + Hadoop World conference in London in 2016, Vice President of Engineering Stephen O'Sullivan discussed how to select the right engineering tools, where Spark fits in the data ecosystem, and the benefits of offline processing.
Interview: The Data Lake Dream
From the 2014 Strata + Hadoop World conference in New York City, an interview with VP of Strategy Edd Wilder-James about the Data Lake dream, the avatars of the space, and the parallel between Hadoop and Linux.
Allant case study
Learn how SVDS identified, organized, and prioritized the work efforts necessary for platform development and proof-of-concept execution, and built the data platform utilizing open source tools.
Interview: Spark on theCUBE
At the Spark Summit in San Francisco in 2015, VP of Strategy Edd Wilder-James spoke to theCUBE about the evolution of Hadoop, how Spark contributes to the ability to build a unified platform, and why that matters to business.
Interview: Hadoop Ecosystem on theCUBE
At the Hadoop Summit in San Jose in 2014, CTO John Akred sat down with theCUBE to discuss the Hadoop ecosystem, how larger technology companies figure into the landscape, and how the various new tools can be combined into flexible architectures.