System Integration Specialists

Technical Service Definition.

System integration is the process of combining technology component sub-systems into one efficient system i.e. to integrate subsystems to cooperate, enabling the desired functionality to be delivered as a solitary system.

 

iWolf Technology Services are experienced system integration specialists.

We offer Nation Wide Service and Support, 24/7.

 

Our integration specialists merge unrelated systems to increase end-user  functionality, performance, value for money and improve response times while reducing operational costs.

These subsystem components can be on a local area network (LAN), on the internet (WAN) or a combination of both. Our senior integrators can unify almost any combination of subsystems to meet your specialised requirements.

 

iWolf Systems and Services are ITIL Compliant.

Our integration services encompass all aspects of Information and Communication Technology (ICT) and their subsystems including;

Data Retrieval, eCommerce, Hospitality, Practice Management, Hot Sites, Cold Sites, Disaster Recovery, Business Continuity, Training and Education, Website Development, Mobile Applications, Computer Facilities, Data Centres, Asset Numbering and Management, Data Storage Solutions, Process Control and Factory Automation, System Virtualisation, Hardware Peripherals, Smart Houses, Voicemail and Telephony, Video Conferencing and Streaming, POS Systems, ERP Systems, CRM Tools, Accounting, Power management and Custom Solutions.

Integration Systems can be deployed on Notebooks, Tablets, Smart Phones, PDAs, Smart Appliances, Desktop Computers, and Servers of all kinds.

 

Data Integration.

Data integration is the combining of information from dissimilar sources for the useful purpose of;

  • Increased Efficiency
  • High Availability
  • Data Cleaning
  • Data Monitoring
  • Data Transformation
  • Data Delivery  

Why is data integration an essential part of technical and business practices?

 

Data Types.

Different data types have different strengths. Each dataset presents information in a way most other formats cannot. Each database schema offers unique attributes, metadata and structure. By integrating data from different sources, many unique aspects can be added to the dataset.

EG. Integrating CAD and GIS data can enrich a CAD drawing with specialised GIS attributes and information. Culpeper’s GIS Mapping System is a classic example of CAD integrated with GIS data.

 

Application Types.

Most applications are designed with a different purpose in mind. Data integration can also allow you to take advantage of specialised applications. Also, integrating data into a format accepted by a specific application gives you the power to use that data in that software. This can be achieved through the use of a middleware application or API. Data integration facilitates an easy conversion between formats.

 

Data Management.

Data integration systems simplify interactions between various systems by managing complexity, streamlining connections and delivering data to any system.

 

Unified Systems.

Unified systems increase the value of systems and information by bringing diverse datasets together. Some of the key benefits are the ability to;

  • Control external data.
  • Combine various data types.
  • Add information to existing data.
  • Merge databases from different origins.
  • Create uniform schemas for groups of datasets without common metadata.
  • Collect data from different sources and compile them into the a common GML structure.

 

High Availability

Improved data availability. Centralising data makes it easy for anyone to retrieve, inspect, and analyse information. The availability of data is the key to successful innovation and knowledgebase sharing.

 

Simplified Collaboration.

Centralised data also makes it easier to collaborate with peers on group projects. When sharing with internal personnel or across organisations, integrated data is more complete. Having a Data integration plan is a non-invasive way for everyone to collaborate globally VIA a data portal.

 

Make Better Business Decisions.

Location intelligence can open up new strategies for decision making. Giving your associates the flexibility to use your data on any platform also gives them the ability to understand your information better.

Location intelligence makes it all-inclusive spatially, offering new levels of understanding about that dataset which in turn leads to better management decisions.

 

Data and System Integrity Checks.

Most data integration systems are designed to clean and verify the data as its passing through. An iWolf integration strategy will ensure that your data is free of corruption, inconsistencies, and duplication.

 

Live Data.

Hosting your data on a cloud system is only one way of sharing live data. A synchronised data integration service will propagate every data entry across all integrated systems, real-time, keeping all your information current and up to date.

 

Three Common Integration Methods

Horizontal Integration.

Otherwise known as Enterprise Service Bus (ESB), horizontal integration is a specialized subsystem designed to communicate between the other subsystems.

This method reduces the number of interfaces required to only one per subsystem by connecting directly to the ESB i.e. the ESB is designed to allow interfaces to talk directly to another.

ESB’s are extremely flexible, making it possible to replace a subsystem with another subsystem that provides similar functionality but exports transparently to different interfaces.

Enterprise application integration (EAI) systems usually specify a common data format, providing a data transformation service to convert between application-specific and common data formats.

First the EAI converts data from the application specific format to the bus’s common format. Then language transformations are applied to the common data format.

 

Vertical Integration.

Vertical integration is the process of merging subsystems based on their functionality by creating functional objects called silos. This method can be completed quickly and incorporates essential vendors only, which is the cheaper option in the short term.

However the “Cost of Ownership” can be significantly higher than other methods depending on the scale of the system. Larger systems may require additional silos because reusing subsystems to create additional functionality is often not possible.

 

Star Integration.

Also known as spaghetti integration, the Star method is a process where each subsystem is unified with all of the remaining subsystems. This connection typology is reminiscent of a star but the overall diagram of the system looks more like spaghetti.

The cost of using this method varies greatly because of the number of interfaces required to connect the exporting subsystems. If the subsystems are exporting to mixed or patented interfaces, the cost of integration can increase dramatically.

When adding additional subsystems, the time and cost required to integrate the subsystems can increase exponentially. This method is often preferable due to its greater flexibility and potential reuse of functionality.