Email: info@digitalharborsa.com
Talk To An Expert: 0598330033
Reviewing designs and implementing for the entire IP network including LAN, WAN , and Data Centers
Designing IT Data center passive components including fiber cables, fiber patch panels and racks
Installing IT Data center and setup required extended network component including Fiber cables, Cat6 cables, panels, face split, and racks,
Performing analysis and diagnosis on complex network problems
Implementing and develop Solution for monitoring and reporting the Systems and the network devices (Riverbed Cascade, LMS, Orion …)
Configuring SHDSL Local Loop Terminations on (ATM DSLAM’s & IP DSLAM’s)
Troubleshooting PE-CE routing protocols (BGP, RIP, OSPF, Static)
Firmware and SW upgrades
Source Code Review – identifying the attack surface of an application and tracing how data flows through an application from its sources
Application threat modelling - is an approach for analysing the security of an application. It is a structured approach that enables you to identify threat as the design phase
Penetration testing– security-oriented testing system or network to seek out vulnerabilities
Identify in real time mobile subscribers who just experienced a drop call and experienced X number of dropped calls in last 60 minutes; or subscribers who have called for complaints
Building on-premise data lake to store all required data from products and transactions
Identify in real time all fixed SMB subscribers requesting for bit-stream OUT service and the request has been rejected
Describing data sources in centralized data catalogue, and developing data model to integrate different datasets
Building data solution can fit with heterogeneous use cases of patient, EHR, radiology, and pharma product data
Comply with local and public regulations of healthcare data
Unlock image Radiology data for innovation across organizations / countries
Build reusable data assets / technical components as data product
Ensure access from local region only with access management controlled by data producer team
Transform AI-algorithm for CAD / PAD patient risk pre-diction into digital product
Ensure re-usability of EHR & claims datasets for subsequent model development
Dynamic dashboard for patient group selection showing their risk-factors
Physicians can identify up to 20% more high-risk patients
Migrating old data solution and to more sustainable solution able to serve business requirements for event-based processing
Detail overview of data produced across functions in the company
Automated workflow for image, customer, leadout classifications
Handling GDPR and anonymize personal data
Enabling tech and non-tech to work and visualize the data
Directkauf anomaly detection, catching fraud in data and shopping
Automatic classification of the new offer from shops
Data catalogue as a service to enable data producer and consumer to have detail overview of the data
Self-services for data ingestion and processing to create company KPIs which increased the revenue by 40% by taking decision based on data
Increased leadout by 60% via automatic classification algorithms and producing personalize offer to the customer
Access management and data regulation services to handle GDPR and required regulation to know who access what, when, and how
