what is
DATA CRUNCHING?

Crunching the DATA Wave

DATA CRUNCHING "DONE RIGHT"

Our methodology, the "Data Crunching Fast Track Approach" fits to any industry. We have exceptional experience in the following markets; Life Science, Retail & Hospitality, Manufacturing,  Healthcare & Hospitals, Energy, Financial Services & Public Services

Healthcare & Hospitals

Typical Challenges

  • High administrative effort
  • Unnecessary and duplicated effort by the care team
  • Interrupted information flows between disparate care teams
  • Missing transparency for patients
  • detection of medicine fraud
  • Many different data sources of similar information (e.g. Patient records, therapy appointment information)
  • a lot machine generated data, that is currently unexploited, but has huge potential

Our Approach

  • Create a 360° profile for each patient, based on data correlation
  • Generate trend analyses of patients and their profiles
  • create a patient journey and provide transparency
  • Predict patient health improvements by analyzing their monitored behavior
  • Provide comprehensive dashboards with all patient information for the care team in one place
  • Allow location tracking and visualization of patients to reduce wasted time on walking into empty rooms
  • medicine fraud detection based on visualisation and pattern analysis

Download our illustrated factsheet about "The digital hospital" here.

Information and Communication Technology  Provider

Typical Challenges

  • Rapidly changing and growing IT systems, applications and complex environments.
  • Customers expect an always on mentality
  • Standardized solutions vs. solution oriented
  • Efficiently and predective dealing with Incident & Problem Management

Our Approach

  • Provide data source correlation and pattern mapping for a faster root cause analysis in case of an incident, for faster problem solving.
  • Analyze and recognize trends with machine learning for preventive & predictive maintenance to reduce Mean Time to Repair (MTTR) and increase Mean Time Between Failures (MTBF)  
    Monitor and generate system health overview of custom solutions

MANUFACTURING

Typical Challenges

  • Long and static development cycles for new products
  • Very high quality demands
  • Obtaining feedback from customers and IoT connected machines.
  • High cost to provide support on customers premises

Our Approach

  • Provide overview of collected test data (Quality Assurance) as an input for product improvement steps
  • Obtain data from Intelligent & smart devices for analysis.
    Create predictive trend recognition to show any variation in product quality

RETAIL & HOSPITALITY

Typical Challenges

  • Very price sensitive market segement
  • The process of digitisation is more or less everywhere initiated and ongoing
  • Multi channel distribution, global players and diverse online threads are challenging to accompany customers and get one view of the interaction to react accordingly.
  • Smartly combined data is a prerequisite to build on and to make the right porposals and decisionss

Our Approach

  • Notify an upcoming stock shortage in a predictive way
  • Correlate and automatically analyze different channels with machine learning algorithms.
  • Decide and Initiate actions based on data.
  • Additionally use seasonal and public available data (e.g. weather history and trends, sport eventes)

It's time to crunch your DATA

get in touch with us and ask for a DATA Crunching Workshop to kick-off