Data is the modern currency of business, and the sheer amount of information that flows throughout and beyond your organization is a goldmine. We are committed to enhancing your ability to look across that information and draw valuable insights. Our data science and engineering services create the platform to give you that blended view–and turn insight into action.
“NEOS’ high-impact approach to our data strategy was practical and comprehensive.”
– CIO, U.S.-based Insurer
With data as the lifeblood of modern business, it is imperative to adapt your data architecture to meet today’s demands for accessibility, analytics, and data-driven decisions. We help our clients shift from traditional transactional, reporting, and archiving models to self-service, dynamic interchange hub models, and to lakes and repositories for rules, models and process. As access to data becomes a mandate, the technology and engineering supporting the integration and care for that data is evolving at an even faster pace. Our modern data architecture practice stays on top of the latest in engineering principles and technology.
Improve data quality, ensure data alignment, and further leverage your modern data architecture to elevate your bottom line. A sound data governance strategy is an ongoing capability that requires strong collaboration between the IT and business sides of your organization. We help you clarify data lineage, relevance, usage and context, governance workflow, clear metrics, and achievable timeline within a data operations model that supports a right-sized set of work processes to manage data effectively and efficiently.
The integration of data and easy access to it is a critical competitive advantage for any organization. Data Lakes enable rapid movement of information from various, disparate sources within and beyond the enterprise, into a one-stop superstore–where it can be cataloged in its raw format and used elsewhere the moment it is needed. We construct data lakes with proper governance and effective zones, and we create a self-service model where users can access data on-demand. Our signature Data Lake Accelerator for insurance creates quick delivery of data–enabling faster analytics, business transformation, and informed decision-making.
Our analytics practice helps you leverage the information flowing throughout your enterprise so that you can achieve better business results. We help you find and interpret the data most relevant to your business need, combining our data science, business analytics, and technology expertise to deliver insights that generate action. Our commitment is to sharpen your competitive edge by leveraging data to propel your business forward.
The data universe is expanding at lightning speed. Roughly 90% of digital data in use today was created in the last two years. Master Data Management (MDM) aligns corporate data for use as a “golden source” of data. Building and implementing a deliberate MDM strategy is critical. We employ a sophisticated profiling assessment matrix that helps you nominate your primary master data and derive a centralization plan that is appropriate to your business needs and organizational capacity.
When you implement a new architecture or governance model, you must provide ways for your audience to adopt what was built. Without adoption, little to no value will be realized. Our data operations and training experts help you identify what you need for your new solution to be effective: what type of team should be built, the job functions, how they work, etc. After establishing that operational model, we build training to clarify how each of those roles must perform. Elements of internal marketing and change management methods are inserted to help increase awareness and elevate understanding of what is coming and why it’s important.