Based on predictive models and risk assessments, we at CES, improve prospective analytical capabilities, enhance intervention and outcome analysis. CES provides advanced proficiency in the areas that maximize your organization’s ability to access the data it needs. We excel in gathering data from a multitude of patient disease registries to help identify diseases, stratification data to assess risks, provide associated scores, deliver trending information regarding disease conditions and comorbidities, and identify gaps in care.
ETL services are the fundamental capabilities required to build a highly functional, easy to use, data repository from multiple data sources. CES builds robust, scalable ETL systems and data warehouses to support business intelligence platforms. Our solutions deliver big data, while minimizing data latency; producing quick retrieval of valuable information.
Whether your organization runs Microsoft, IBM, Oracle, Pentaho or any other major platform, CES will assemble an extensive collection of technical expertise and utilize both enterprise and open source tools to provide a custom, robust ETL service for your business needs. Our ETL error testing and handling, ensure the data quality that delivers the type of rock-solid data accuracy your enterprise can rely on.
At CES, our data solutions conform to rules specified by national or international laws and regulations set forth by a number of other medical data governing entities. Our data quality, reusable transformations and staging are meticulous in their execution.
CES builds reporting applications that unify your clinical, claims, financial and operational data into a logically integrated user experience.
At CES we continuously produce new and creative, pre-built adapters and accelerators to directly extract patient-related data from underlying data repositories from industry-popular Electronic Health Records (EHRs) systems such as Regional Health Information Organizations (RHIOs), Health Information Exchanges (HIEs), and All-Payer Claims Databases (APCDs). Our analytical reports take advantage of valuable data retrieved from Standards Development Organizations (SDOs) including: The Centers for Medicare and Medicaid Services (CMS), the U.S. Preventive Services Task Force (USPSTF) and the Health Resources and Services Administration (HRSA). CES also utilizes data from quality control-related organizations such as: The National Quality Forum (NQF), the National Committee for Quality Assurance (NCQA), the Healthcare Effectiveness Data and Information Set (HEDIS), and the Agency for Health Research Quality (AHRQ).
In today’s world, it’s not enough to keep up with the times; instead, you must be able to predict future circumstances. Data analytics leads to business intelligence. The analytics process is the tool that brings business users to a place where they can accurately make predictions about what’s to come. Data provides answers to the questions that make your business intelligent.
When considering your data analytics service options, CES Data Analytics and Business Intelligence services can provide a wide array of solutions to meet your needs. CES provides data analysis and reporting services that will enhance your business effectiveness by seamlessly integrating data from multiple sources and constructing the information in ways that improve the efficiency of your organization. Simply put, we make your business intelligent!
CES Data Analytics and Business Intelligence Services, possesses an abundance of innovative technical knowledge and access to a wide array of data that will provide a comprehensive, custom data solution for your enterprise needs. Allow CES Analytics and Business Intelligence to take your enterprise out of today and into the future.
|Analytics Pipeline||Tools & Technology|
|Data Source||Any Relational DB, Docs, Email, Big Data Sources|
|Data Migration||MS SSIS, Informatica, AWS Glue, Custom Tools (Python, C#).|
|Data Visualization||Tableau, Power BI, GCP Data Studio|
|Data Warehouse||On-Premises, Cloud Store – AWS Redshift, AWS Data Lake, GCP – Big Query, Azure – SQL Datawarehouse.|
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