FOODSERVICE
DATA ANALYTICS
THE NEED FOR DATA
WAREHOUSING TECHNOLOGY
DATAARC
DATAARC SNAPSHOT
RESPONSIBILITIES
Operational analysis
Financial planning, budgeting, and forecasting
Improve foodservice data management
PAIN POINTS SOLVED
Time-consuming and disjointed reporting
Lack of data visibility
Enhance supply chain best practices
DATAARC HELPS YOU
Integrate resources for advanced data warehousing
Make data-driven decisions with intelligent reports
Let’s face it - numbers can be complicated. For hospitals and health systems consisting of multiple departments and resources, operational analysis can be overwhelming when you are viewing an abundance of spreadsheet reports. Due to interoperability, foodservice data analytics has advanced because data can be easily migrated from transactional databases and stored in a centralized repository.
But having all hospital data stored in a giant database isn’t enough; compiling the information through integrated data warehousing resources so that it can be easily interpreted is vital! After all, executives rely on foodservice data analytics in healthcare for financial planning, budgeting, forecasting, and determining if key performance indicators (KPIs), such as patient satisfaction standards, are being met.
BRIDGING YOUR RESOURCES
Considering foodservice, nutrition, and retail services impact the overall success of a hospital and health system, there is a need to bridge the data from these areas with a healthcare data warehouse. For that reason, Computrition developed DataArc - data warehousing technology for optimized foodservice data analytics.
With an agile three-step process, data analysis is taken to a whole new level! Using Extract, Transform, and Load (ETL) technology, DataArc extracts foodservice data from Hospitality Suite systems (FOM, NCM, and SP! POS), and allows you to transform them into visually understandable formats and recurrently load them on a dedicated data warehouse.
BRIDGING YOUR RESOURCES
Considering foodservice, nutrition, and retail services impact the overall success of a hospital and health system, there is a need to bridge the data from these areas with a healthcare data warehouse. For that reason, Computrition developed DataArc - data warehousing technology for optimized foodservice data analytics.
With an agile three-step process, data analysis is taken to a whole new level! Using Extract, Transform, and Load (ETL) technology, DataArc extracts foodservice data from Hospitality Suite systems (FOM, NCM, and SP! POS), and allows you to transform them into visually understandable formats and recurrently load them on a dedicated data warehouse.
ADVANCED REPORTING
Seamless integration with existing Hospitality Suite systems ensures consistency of shared data for ongoing standardization throughout the supply chain.
DataArc enables both single-hospitals and large health systems to use their healthcare data warehouse to generate intelligent dynamic reports and create visualizations. Since foodservice data is desensitized, reports do not contain any protected health information (PHI).
These reports equip foodservice leaders to conduct thorough data analytics of historical trends pertaining to:
MEAL SERVICE
HISTORY
TRAY DELIVERY
ANALYSIS
COST OF
OVERPRODUCTION
INVENTORY
MOVEMENT
CASH REGISTER
ACTIVITY
MAKING DATA DRIVEN DECISIONS
Having this data visually depicted in the form of graphs and charts makes it easy for executives to identify any problem areas like food-related errors, flaws in the patient experience, food waste issues, and lost sales.
The insights gained from foodservice data analytics help recognize negative operational patterns. This capability drives corrective action, leading to enhanced future best practices like:
The insights produced by hospital big data analytics helps recognize negative operational patterns. This capability drives corrective action, leading to enhanced future best practices like:
With enhanced depictions of measurable outcomes, DataArc will be resourceful in catapulting healthcare organizations towards continual progress!
With enhanced depictions of measurable outcomes, DataArc will be resourceful in catapulting healthcare organizations towards continual progress!
system essentials
Migrate data from
all integrated
datasets to EDW
Configure multiple
ETL types to extract
specific data regularly
Configure multiple ETL types to extract specific data regularly
Setup automatic imports
of extracted data into EDW
in delimited text format
Setup automatic imports of extracted data into EDW in delimited text format
Receive email
receipts of activity
summary reports
Estimates of data
export size provided
Option to run
one-time exports
for historical data
Data Reference Guide
provides flexibility to
write reports based on
the format of the data
optimized outcome
Ongoing data exports
produce intelligent
dynamic reports
Interpretive reports enable
easy and thorough reviews
of historical trends
Interpretive reports enable easy and thorough reviews of historical trends
Recognize problem areas and
negative operational patterns
through report visualization
Recognize problem areas and negative operational patterns through report visualization
Improved data visibility drives
corrective action and enhanced
future best practices
Improved data visibility drives corrective action and enhanced future best practices
Promotes better utilization of
enterprise foodservice systems
to ensure clean data
Promotes better utilization of enterprise foodservice systems to ensure clean data
see it in action
Take a look at additional resources to find out how data warehousing technology can help you perform
effective foodservice data analytics and optimize your department with our pillars of automation!
