Read Cazena case studies to learn how companies use Big Data as a Service and cloud data platforms. Cazena's cloud Data Lake as a Service case studies demonstrate how companies use data lakes for data science, self-service analytics and digital transformation projects. Cazena's cloud Data Mart as a Service is an MPP SQL powered solution, used for cloud data warehousing, business intelligence and many other cloud analytics use cases.

Explore Cazena's big data case studies below and please contact us to learn more.

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Relies on Cazena's Data Lake as a Service for Data Science and Advanced Analytics across a Broad Range of Travel Data. 

“We’ve gone from zero to 100 miles an hour to start by choosing Cazena, running on Azure. We’re 6 to 8 months further ahead by having Cazena. The primary benefit is speed. Now the team has a structured place to share their data, work and ideas.”
-- Craig Haughan, VP Data Solutions, Carlson Wagonlit Travel

CARLSON WAGONLIT TRAVEL

Multi-National Business Travel Management Leader

 

Challenges

  • Launch a new data science program and enable a new advanced analytic team quickly
  • Uncover new ways to analyze, operationalize and monetize travel-related data
  • Implement a scalable, flexible platform to support current and future big data sources
  • Support a globally distributed team, while meeting enterprise security and compliance requirements

Solution

  • Cazena Data Lake as a Service, with Cloudera EDH, Microsoft Azure, RStudio Server Pro and Anaconda for Python via Cazena AppCloud

WHY CAZENA

  • Guaranteed - and delivered - a secure, production-ready environment from day one
  • Accelerated program by six to eight months, enabled most efficient use of resources, no DevOps required
  • Unified many sources into one data lake, which supports all analytic languages, tools and workloads used by different teams
  • Delivered cloud solutions with the enterprise service, security and governance required by a $24B corporation

TECHNOLOGIES
          

LIFE SCIENCES AND PHARMACEUTICAL MANUFACTURER

High-Performance Healthcare Analytics for Life Sciences Marketing

CHALLENGES

  • Implement predictive analytics and marketing mix applications with limited IT support
  • Rapidly ingest and analyze data securely from numerous cloud sources
  • Find a platform suitable for small marketing and insights team, without time or cloud skills for platform administration 

SOLUTION

  • Cazena's Data Lake as a Service, with Cloudera EDH, AWS and other best-of-breed technologies
  • Sentier Health Informatics custom-developed applications for predictive analytics across pharmaceutical product lines

WHY CAZENA?

  • Accelerated time to market and fast deployment of new predictive analytics applications
  • Streamlined acceptance by corporate IT, as platform is fully-managed and secured by Cazena
  • Automated platform operations processes, no new headcount required
  • Simplified data ingestion of the many different sources required for effective healthcare and pharmaceutical marketing analytics

TECHNOLOGIES

     
 

Please contact us for more information.


Global Pharmaceutical Manufacturer

Depends on Cazena's Data Lake as a Service for Marketing Mix Optimization and Predictive Analytics Applications.

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“Optimizing marketing spend across drug lines is a critical business initiative. Cazena enables rapid analysis of prescription data from IMS and other sources against patient demographics.”
-- Rich Sokolowsky, Principal, Sentier Health Informatics

 

Major US Commercial Real Estate and Retail Property Management Firm

Builds Innovative Analytic Applications on a Cazena Data Lake as a Service, accelerating Digital Transformation across the business. 

Major US Commercial Real Estate Firm

Specializing in Retail Property Management

CHALLENGES

  • Find one platform to power many analytic use cases, including support for relational and unstructured datasets
  • Quickly enable new Chief Digital Officer to rollout new digital transformation projects across the organization
  • Automate as much as possible and deploy quickly, with minimal training, skills or ramp-up time required
  • Maintain enterprise security and governance standards, with the flexibility required for new digital programs

SOLUTION

WHY CAZENA

  • Supported most number of analytic use cases and workloads in one platform, with scalability required for fast growth
  • Guaranteed - and delivered - a production-ready Data Lake in hours, ready for data ingest from a wide variety of data sources
  • "Future-proofed" platform with support for emerging analytic languages, ongoing R&D and regular enhancements
  • Allows small IT staff to offer digital teams a wide range of analytic capabilities, with no new DevOps burden

TECHNOLOGIES

     

Please contact us for more information.

 

MAJOR EUROPEAN ELECTRONICS RETAILER

Physical "Brick & Mortar" Stores and High-Volume Online Retailer

CHALLENGES

  • Quickly deploy a Spark platform to support a new analytics application needed by digital team
  • Ingest data from several digital sources, including Adobe Omniture and related web data
  • Find a solution powerful enough for the digital team, which required no IT or DevOps resources to support, but met strict requirements for security, European compliance and governance

SOLUTION

  • Cazena Data Lake as a Service, powered by Cloudera EDH, Microsoft Azure and other best-of-breed software
  • Partner-developed applications from Syntasa for predictive behavioral analytics on web and customer data

WHY CAZENA

  • Guaranteed - and delivered - a fully-managed, production-ready platform deployed in days, which met all enterprise management and security requirements
  • Simplified data ingestion from wide variety of web, digital and customer sources
  • Offered out-of-the-box support for advanced analytics with R and Python on Adobe Omniture data
  • Supported new predictive analytics applications seamlessly, with no additional integration time or DevOps skills required

TECHNOLOGIES

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Please contact us for more information.

    Major European Electronics Retailer

    Selected Cazena's Data Lake as a Service to power the Digital Team's new applications for Customer Experience, Web and Online Analytics.

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    Depends on Cazena's Big Data as a Service for Cloud Data Warehousing and expanding Analytics and Data Science use cases.

    “There are more strategic things we can be doing with our time. I don't really want to get in the weeds of managing a data warehouse -- and with Cazena, I don't have to.”
    -- Melissa Bennett, Former Director of Application Development, Sweetgreen

    SWEETGREEN RESTAURANTS

    US Restaurant Chain Specializing in Healthy Meals with Local, Seasonal Ingredients

    Challenges

    • Integrate multiple retail SaaS applications into one cloud data warehouse (loyalty, POS, marketing, etc.)
    • Implement analytics across the organization to support customer service and rapid expansion
    • Find a platform which could be easily managed by a small team, with no additional resources for cloud administration or security
    • Ensure seamless support for Tableau and other analytics applications already used across the business

    Solution

    • Cazena Data Mart as a Service (MPP SQL Cloud Data Warehouse) includes AWS Redshift, AWS and other best-of-breed software

    WHY CAZENA

    • Empowered small IT team to deliver impactful analytic solutions, with no admin, DevOps or troubleshooting
    • Consolidates data efficiently for use across the business, enables self-service access by non-technical users
    • Designed and optimized for performance with popular MPP SQL BI/analytics tools, such as Tableau, Qlik, Spotfireetc. 
    • Scalable for future growth, can easily add data engines (Spark/Hadoop) and additional analytic capabilities on-demand

    Technologies

              

    Multi-National Restaurant Chain

    A Well-Known Fast Food Restaurant

    CHALLENGES

    • Migrate Netezza Data Appliance workloads to a cloud data warehouse, meeting enterprise requirements for security, governance and compliance
    • Implement a hybrid data architecture and secure data movement between the cloud platform and on-premises data sources and applications
    • Support existing business intelligence and analytics applications, ensure seamless migration with no negative impact to users
    • Find a solution suitable for small IT staff, with few cloud skills and limited time 

    SOLUTION

    • Cazena Data Mart as a Service, with AWS Redshift and AWS
    • Migration plan assistance from the Cazena team, which includes several former Netezza technical experts

    WHY CAZENA

    • Guaranteed a production-ready platform, and offered enterprise-grade management, implementation, security with a cloud service
    • Accelerated project rapidly -- in just Four Weeks, IT team completed complex Netezza migration to AWS, thanks to Cazena's built-in platform automation and tools
    • Included tools for secure data movement to and from AWS, easily usable by IT staff with encryption included
    • Offered best-of-breed software on a fully-managed cloud platform for ultimate flexiblity and scalability
    • Supported existing business intelligence applications seamlessly 

    TECHNOLOGIES

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    Please contact us for more information.

    Multi-National Restaurant Chain

    Chose Cazena's Data Mart as a Service for Hybrid Cloud Data Warehousing, and migrated Enterprise Data Workloads from an on-premises Netezza Data Appliance to AWS in less than 4 weeks.
    Fully-Managed Cazena Data Mart. 

    Large, Top-Ranked University

    Counts on Cazena's Data Lake as a Service for Advanced Analytics on Enrollment Metrics, Academics and Facility Operations.

    TOP-RANKED UNIVERSITY

    ~40,000 Student University, Recognized in the Top 2% Worldwide 

    CHALLENGES

    • Supplement existing business intelligence programs with advanced analytics
    • Leverage data more efficiently to support student recruitment, reduce churn and impact enrollment metrics
    • Find a platform with Spark/Hadoop on Microsoft Azure (corporate standard) that didn't require new DevOps, big data and cloud skills

    SOLUTION

    • Cazena Data Lake as a Service, with Cloudera EDH, Microsoft Azure and other best-of-breed technologies
    • Partner-developed Advanced Analytics and Machine Learning applications from BCS Technology

    WHY CAZENA

    • Delivered a guaranteed, production-ready Azure Data Lake and analytics platform in one day, ready for data ingest 
    • Accelerated project, so staff was able to focus resources on advanced analytic applications sooner, delivering value faster
    • Unified many sources into one Data Lake for new analytics and machine learning applications
    • Streamlined cloud IT operations, with fully-managed Data Lake that includes all security, upgrades and platform maintenance

    TECHNOLOGIES 
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    Please contact us for more information.