Email: info@digitalharborsa.com
Talk To An Expert: 0598330033
Successful teams and businesses typically rely on some form of data for day-to-day decision making. Data provides information about customers, processes and performance which allows businesses to determine what is most important and informs effective strategy based on real facts. At Digital Harbor, the goal is to foster a data-driven culture to our customer, ensuring that every customer makes decisions informed by data. To accomplish this, we enabled our customers to work effectively with data through data mesh, data lake, and data warehouse services.
Acceleration of digital business in different industries is important to be supported with services that automatically control necessary provisioning requirements like trainings or restrictions on use. Data can be used and shared without concern on compliancy as this is handled for the users and not by the users. This simplifies and standardize process of data use, allowing rapid business development without concerns on data privacy.
Digital Harbor achieving that by providing the following services:
Strategy & Metrics
Education & Guidance
Data quality
Data Auditing
Policy & Compliance
(Who access What When and How)
Data contracts
Data Architecting is to provide guidance and help data engineers/scientist to build and enhance the existing data architecture and provide better services to customers.
Digital Harbor follows TOGAF guidance for delivering architecture and services through the following architecture levels:
Review the data products and services design documents
Generate the data flow diagram
Defining all possible threats in the existing architecture
Define data storage locations in different environments
Defining and evaluating the existing setup
Defining Ingestion and federation services
Defining data governance solution
Defining application entry points
Defining all possible future threats
sing risk management methodology to determine the risk behind the Migration from old architecture to the new one
Identify the data components and services of your system / application / module / ecosystem that you may want to start off with
Add actors
Show in detail all required components of data pipelines
Identify the data sources and their classification
Provide component architecture for the whole system architecture
Defining all possible applications/services for each data component
Guidance for the best practice for each application
Defining threats and drawback for each phase
Defining the Impact and Probability for each threat
Enabling digital solutions of new business opportunities to perform rapid ETL/ELT and AI solutions by providing easy data processing solution including data ingestion and pipeline.
Digital Harbor aim from provided solutions to avoid redundancy of manual work and provide simplicity and transparency yet remains compliant from regulatory perspective by providing the following services:
Data ingestion
Data business definition in data catalogue
Data storage lifecycle management
Data processing for batch and real time data streams
Data warehouse
Data modelling using SQL and NoSQL data models
Data processing optimization to enhance performance, delivery, and data quality
Data visualization is a way of presenting large data sets into dashboards. The dashboard of data makes it easier to have a quick business decisions, identify and share real-time KPIs, and new insights about the information represented in the data.
Digital Harbor helps organizations to see the big picture of their business, support them to make better decision, and presenting meaningful data by providing the following services:
Managing various reporting and visualization tools
Developing dashboards with different types of charts
Data representation shows trends, comparison, correlations, relationships, and connections across different data sources
Digital Harbor aim to accelerative digital solution development by providing robust secure data solutions using stake of the art technologies that automate visibility and classification of data as follows:
Engagement in the scanning of data across different services
Leverage machine learning and deep learning for Named Entity Recognition (NER) to uncover dark data
Automatically classify sensitive data beyond Regular Expressions (RegEx) – classify by regulation, document type, policy, attributes, person, and more.
Automatically label and tag files based on existing classification – and align labels with automated workflows for advanced data protection and lifecycle management.
Cloud computing transforms IT infrastructure into a service that lets you ‘plug into’ infrastructure via the internet, and use computing resources without installing and maintaining them on-premises. Digital Harbor aim to accelerate business development in the local market.
Digital Harbor will work with you to migrate your solutions to the cloud -whatever what your business is- and will work with you to drive faster value in every dimension of your business.
Furthermore, Digital Harbor will support you through all migration steps to optimal use of hyperscalers by providing the following services.
Cloud transformation
Cloud engineering
Cloud security
Data migration
On premise services migration to cloud
Infrastructure as code is the process of managing and provisioning cloud services and infrastructure through machine-readable definition files, rather than physical hardware configuration or interactive configuration tools.
Digital Harbor providing the following services to ensure automation and security of provisioning code:
Terraforming or coding infrastructure via cloud provider SDK
Compliance checks of Infrastructure code in CI/CD workflow
Automated feedback in case of risk
Developing best practices to ensure scalability and reliability of the infrastructure
Continuous auditing and monitoring is one of the important services in such secure cloud environment. It provides monitoring system, automated feedback, transactions, and controls on a frequent or continuous basis, alerting for suspicious access.
Digital Harbor believes on auditing and monitoring to ensure that our customers can focus on business development without caring about auditing and alerting system in case of abnormal activity occurs by providing the following services:
Mapping your cloud resources to control requirements based on industry standards (e.g. GDPR)
Automated collection of evidence by enriching logs of access and services
Automated feedback in case of risk
Continuous and real time oversight of services status, compliance and security findings
