Webinar Replay: SaaS Data Lakes
Simplifying Cloud Data Lakes for Rapid AnalyticsWatch the Webinar
Advanced analytics experts deliver custom applications “as a service” to life sciences, biotech and pharma clients, by delivering on a Cazena SaaS Data Lake.
Sentier has dramatically accelerated time to market for its custom predictive analytics applications.
A SaaS Data Lake makes it easy to seamlessly ingest data from many different sources – internal, cloud or third-party.
Applications meet strict industry compliance and security standards, platforms are always monitored and patched.
Sentier Informatics provides data science, advanced analytics, and data engineering services for the life sciences, biotech, and pharmaceutical industries, with particular expertise in sales and marketing. With the Cazena SaaS Data Lake, Sentier is able to focus on delivering advanced analytics solutions instead of building and maintaining the underlying data and cloud platforms.
Sentier offers specific expertise in predictive analytics, a complicated endeavor. For example, “marketing mix modeling” is the practice of using analytics to measure the effectiveness of different marketing channels.
These types of applications require data from many sources, including corporate applications and third-party data providers, such as IMS for healthcare. Rather than build and maintain a new application and data hub from scratch for each individual client, Sentier quickly deploys its applications “as a service” on a Cazena SaaS Data Lake.
Develop and deliver impactful applications for predictive analytics in life sciences, pharmaceutical and healthcare
Deploy self-service applications to teams with limited IT skills or support, but strict compliance and security requirements
Securely ingest, store, and run a variety of advanced analytics on datasets from numerous internal and third-party cloud sources
Sentier wanted to focus its growth strategically. Rather than hire a team to build and maintain a new data hub from scratch for each client, Sentier’s cloud applications are built and delivered “as a Service” on SaaS Data Lakes from Cazena. Sentier creates custom analytics apps — and fast outcomes — with the confidence these applications work seamlessly and meet the strict industry compliance and security standards of their clients.
By deploying applications on Cazena SaaS Data Lakes, Sentier teams stay focuses on data science and strategic work such as profiling and integrating ideal data sources, machine learning model generation and testing, dashboard development, report generation, and more. While many of Sentier’s apps are designed for self-service analytics, clients also have the option to call in expertise from Sentier’s ‘data science on demand’ service for hands-on help with more complex requirements.
Sentier’s custom sales and marketing analytics solutions have delivered a wide range of results for companies in life sciences, biotech and pharmaceuticals. For some, the impact comes from accelerating outcomes and being able to monitor their campaigns, analyze data, and make changes in near-real time – like shifting budgets to more effective marketing channels. For others, the results come from improved strategic decisions — a direct benefit of having secure and easy access to data and analytics via SaaS dashboards.
Powered by Cazena to Accelerate Analytic Impact.
“It’s not an exaggeration to say we wouldn’t be in business without Cazena and its enterprise-strength Data Lake as a Service. By being powered by Cazena, we have a best in class data science environment that big companies spend tens of millions of dollars to build in house, for a very reasonable monthly fee.”