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Datawarehose Modernization
" We prioritize understanding your needs, challenges, and technology objectives as the cornerstone of our customer-centric solutions. Our Professional Services teams specialize in assisting clients in leveraging technology to gain strategic and competitive advantages, delivering effective business solutions. We stand by our dedication to excellence by offering exceptional customer service and support. "
At ElogicSquare, we specialize in data warehouse modernization, helping organizations transform their traditional data warehousing approaches into modern, scalable, and agile solutions. Our services encompass the entire data warehouse modernization journey, from assessment and strategy to implementation and optimization.
We begin by conducting a thorough assessment of your existing data warehouse infrastructure, processes, and technology stack. Our experts analyze the current pain points, scalability limitations, and performance bottlenecks to identify opportunities for improvement. Based on this assessment, we collaborate with you to develop a data warehouse modernization strategy aligned with your business goals.
One key aspect of data warehouse modernization is adopting cloud-based data platforms. We guide you in migrating your data warehouse to leading cloud providers such as AWS, Azure, or Google Cloud, leveraging their scalable and elastic infrastructure. This shift to the cloud enables you to benefit from increased storage capacity, improved performance, and reduced infrastructure costs.
Traditional data warehouses were built with online transaction processing (OLTP)-centric technologies and architectures that are old technology. These data warehouses were never designed to handle the volume, variety and velocity of today’s data-centric application. ElogicSquare’s current technology for Big Data allows organizations to dramatically improve return on investment (ROI) from their existing data warehouse environment.
Why do you require to modernize your data warehouse?
- Costs-Users seek to save money in some areas (storage, CPUs, upgrades, admin) so they can invest in others (new data platforms, analytic tools, and developing new solutions).
- Speed-User need the data warehouse and related systems to operate faster because speed contributes to scale, supports agile development and discovery analytics, and brings analytics closer to real-time business operations.
- Advanced analytics-Many users have invested heavily in reporting and OLAP, but now they need to invest in advanced forms of analytics to leverage big data, find new customer segments, and stay competitive.
- Scale- Users need to accommodate growing numbers of concurrent users, reports, analyses, and data structures.
Data Migration
The ElogicSquare Data Warehouse Workload Migration solution is a proven, cost-effective, and low-risk solution to offload traditional data warehouse to Big Data warehouse. Benefits:
- Save time and money. Our automated process is up to 75% faster and 70% cheaper than manual offloading.
- Achieve faster parallel and scalable SQL processing using Hadoop and real time streaming .
- Maximize your ROI and tools reuse.
- Reduce risk in your Hadoop journey with automated migration of all legacy workloads: data, metadata, schema, views, Role based access control, & other scripts
The warehousing strategy of ElogicSquare allows transformation of data-sources from multiple tenants into a harmonized representation in a Data-Hub that supports standard analysis, one model to support multiple use-cases. We ensure that our solution also factors where a hospital data may be at different sites with its source specific-identifiers and nomenclature. Solution hinges on transforming to a standardized OMOP/CDM vocabulary to codify clinical domains of interest (Visit, Drugs, Condition, Procedure, Measurements). Such Patient-centric, 360-degree multi-model warehouse yields evidence OR inference abilities within and across hospitals, such as:
Such Patient-centric, 360-degree multi-model warehouse yields evidence OR inference abilities within and across hospitals, such as:
Data Migration
- Quality Improvement
- Natural History
Data Migration
- Safety Surveillance
- Comparative effectiveness
- Design, build and analyze Cohorts of Interest
- Health outcomes of interest
Patient-Level Prediction
- Precision Medicine
- Disease interception
Our Valued Partners
Testimonials
Charles Boicey
Co-Founder, CIO,Clearsense
Team ElogicSquare is highly knowledgeable and well experienced in the field of Data Streaming and Analytics. The professionals at ElogicSquare took the time to understand Clearsense vision and technology needs to provide the most efficient solutions and highest quality products. They have been instrumental in shaping our portfolio of products, intensifying an analytics culture within and a key stakeholder in decision making. With Team ElogicSquare by our side, we are confident in growing Clearsense market presence in the competitive Healthcare Analytics domain.
Lisa Dahm, PhD
Director, Enterprise Data & Analytics, UC Irvine Health Information Services
ELogic has been a technology partner of the University of California, Irvine Health since 2011, initially building out the first Hadoop based technology solution in healthcare as well as developing the first Hadoop based system to retire healthcare information systems. Additionally, the team developed a surveillance system that detects the subtle changes in a patient’s physiology and predicts the potential for the patient to deteriorate in the near future. The eLogic team has been attentive to our needs and has provided innovative long term solutions for our complex healthcare data problems
Amy M. Andrade, MS, PMP
Senior Advisor to the President – Technology & Innovation,MMC,Nashville
In collaboration with Clearsense the eLogic team has been an integral component to the success of the development of the Data Science Institute at Meharry Medical College in Nashville, Tennessee, USA. The team developed the infrastructure to support the educational and the research needs of the institute. Our future work with eLogic centers on combining omic data sets with healthcare, exposome & social determinants data sets for clinical and research use cases. eLogic has been of great service in our quest to bring affordable solutions to serve the underserved.
