Connect the dots across all of your enterprise data and beyond, gain insight, and see the big picture.
The basic challenge of analytics hasn’t changed: Get the right information to the right people at the right time. However, there are more sources of information than ever before. Aggregate and evaluate your volumes of data to discover new insights, make better decisions, and optimize processes.
How Sullexis Can Help
Design and Build Data Ingestion, Analytics, and Visualizations
Although many platforms can handle the variety and volume of big data, there is substantial work required to ingest, link, match, and cleanse the data to enable relationships and hierarchies. Sullexis has experience in ingestion and processing of data. We can reconcile data models from many source systems and formats, generating the single source of truth necessary to develop reliable analytics and meaningful visualizations from your data.
Design and Implement Cloud Data Management
Public cloud is no longer the domain of startups: the promise of cost-savings, reduced IT management, and 1-click deployments has drawn even the most conservative of industries from behind their firewalls. Determining where and how cloud technology fits into your existing IT infrastructure can be a daunting task. Data Lakes deployed in the cloud can offer significant advantages over their on-prem counterparts from a cost and management perspective, and present new data engineering challenges. Moving data securely to the cloud, choosing the right storage medium, and navigating licensing decisions can be overwhelming. Whether you are just getting started in big data and or deploying your next machine learning use case, Sullexis can guide your cloud journey to IT excellence.
Sullexis’ cloud implementation strategy is two-fold: reduce costs and minimize time-to-value. Leveraging native cloud services enables detailed cost monitoring and ensures accurate production cost projections before leaving the design phase. Pipelines developed on-prem often have little visibility when deployed as part of a cloud process. Streaming on-prem application logs to the cloud is just one-way Sullexis ensures 100% coverage of your platform. Sullexis streamlines the cloud deployment process with an Agile approach to resource deployment and management, focusing on high-value use cases that drive business value.
Implement Machine Learning-Backed Analytics
Getting the right data to the right people at the right time has always been the goal of any analytics organization. With the advent of cloud computing and reduced costs of storage, companies are storing exponentially larger datasets than ever before. Machine learning methodologies have exploded onto the scene as a means of exploiting data to find patterns traditional BI tools cannot reveal. Hosting ML models developed using Python and R in a production environment require the same CI/CD processes as their java predecessors. Sullexis agile approach utilizing AWS SageMaker and Azure Machine Learning services abstracts the infrastructure complexities of managing the development, training, and model deployment, decreasing time-to-value in any ML use case. Whether you’re considering cloud for your first ML use case or looking to implement PySpark models against your existing on-prem data lake, Sullexis has the toolset knowledge and data engineering expertise to set you up for success.
Application Integration & Data Migration
The only constant in IT is constant change. To remain competitive, you must continually address application upgrades and integrations with new applications and data migrations. Data is the key to any system migration or integration. We are data experts with deep experience in planning, defining, and implementing data integrations and migrations.
Data Archiving – Legacy Application Retirement and Decommissioning
ERP consolidations and upgrades often result in an environment where multiple legacy ERP systems must continue to be supported in order to satisfy compliance, regulatory and operational reporting needs. Sullexis can help you implement data and report archiving solutions that allow you to fully retire those legacy systems and eliminate their maintenance costs