Today, there are more opportunities than ever for organizations to achieve new levels of success by capitalizing on data and analytics. Despite this fact, many organizations struggle to build, grow, and reinforce their analytics capabilities.

Understanding that no two organizations are the same, and there are no “one-size-fits-all” solutions, Booz Allen uses a framework known as ADAPT+C to address an organization’s most critical analytics problems with a “best-fit” approach. This presentation covers the six components to ADAPT+C and how this framework can be applied to organizations of all types and sizes to help guide them in their data-driven journeys.

The role of a Database Administrator has changed significantly over the past few years. The continued adoption of open source databases, cloud and/or hybrid architectures, and non-relational data sources have added significant complexity to the modern data center, all while organizations strive to become more agile through DevOps. Hall focuses on these trends, how they've impacted DBAs, and best of breed solutions being used by enterprises today.

Modern data architectures address the need of business agility required in the modern age. However, moving from a traditional data architecture to a modern architecture has many challenges.

This presentation helps to define a modern data architecture and takes an in-depth look at how to build an end-to-end modern data platform from the plethora of choices and tools available, including when and why to use cloud implementations. It also focuses on application architecture and discusses some real-world examples of click stream analysis, customer 360, fraud detection, and scoring, in addition to data platform optimizations for business applications.

We continue to hear that "data is the new oil." How are data driven enterprises capturing, managing, and using this data as a competitive advantage? What challenges do they face with legacy technologies that have not been optimized to handle these data management activities? Learn about these challenges, what the optimal solution would look like, the benefits a true data management platform can provide, and how Actifio can help.

There are new technologies that contribute to speed and scale of a modern data platform. But as data size and complexity increase with Big Data, data quality and data integration issues must still be addressed.

Similar to many other mission-critical data management situations, clinical trials are fraught with missteps and data quality issues. This presentation focuses on the architecture of a modern, cloud-based, real-time data integration and analytics platform that ingests any type of clinical data (structured, unstructured, binary, lab values, etc.) at scale from any data sources. Attention is paid to assembling the architectural building blocks of a modern data platform, including the benefits of a “serverless” data pipeline, cloud architecture and deployment, microservices, continuous integration and deployment pipeline, platform scalability, data governance, and master data management.

The ability for knowledge graphs to amass information and relationships and connect facts is showing potential for a range of use cases.

For publishers, content is the most important data asset. However, journal articles (and other content) are expressed in formats ideally suited for transmittal and display—not as data for analysis. By leveraging the structure inherent in scholarly published XML content, we can create structured data in RDF for analysis. Further, we can link out to external resources as linked data to further enrich the content-as-data assets and provide a rich analytical environment.