Data silos prevent your organization from fully leveraging its data or applying consistent data rules, leading different functions to have their own versions of the truth—not to mention higher development and maintenance costs.

Data scientists and advanced analytics users often are charged with generating new insights but face challenges in finding and accessing data, and having the right resources to run analyses.

Modern data ecosystems consist of an interwoven web of reports, notebooks, cloud stores, unstructured data sources and more, making it harder to understand and manage interdependencies, eliminate redundancies and find all of the data sets.

To realize the upside of technology advancements while protecting against the downsides of inefficient choices, your organization needs to adopt an agile mindset.

From strategy to execution to continuous improvement, you can leverage our strong partnerships with leading cloud providers, and use a standardized, cloud-native technology stack through well-defined architecture patterns, proven frameworks and accelerators to bring efficiencies, standardization and lower total cost of ownership.

Develop a data fabric strategy and pilots, and scale the capability to drive analytics transformation, using our collection of assets built on cutting-edge semantic graph and search technologies, and embedded with ZS-curated domain ontologies.

Tap into our library of smart algorithms infused with ZS’s pharma domain expertise, which improve efficiencies in our own data services offered to clients and also can help you build in-house capabilities to efficiently scale data management functions.

Develop the right strategies to drive culture change, implement technology solutions to build nimble applications and rethink processes to capitalize on the benefits of DevOps. We’ll run large-scale DevOps teams for you across enterprise functions.

Choose from our wide range of services, from strategy and advisory support to fully managed business and IT transformations. Our collection of tried-and-true assets and accelerators can help you rapidly implement an enterprise-grade data lake on the cloud.