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Integrity360
Your security in mind
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7 Questions
Nowadays, organizations work with a scalable approach and operate across various sites. These sites include different divisions within the company, such as the asset lifecycle, from design and manufacture to service and project management. All of these divisions could be running different ERP systems or at least different instances of a standard ERP. Enterprise resource planning proves to be an efficient system of integrated applications. It helps manage the business and automate many back-office functions related to technology, services, and human resources. There are many aspects associated with using ERP as a centralized, integrated system. Let’s discuss how it operates and what are the challenges faced by such a system. Minimizing the Silos of ERPs Multiple ERP systems in an organization result in different reporting tools, analytics, and supply chain monitors. These differences result in damaged reporting, which means that the company cannot optimize performance across all operations and identify which parts need modification. Moreover, having multiple ERPs in one place can result in expensive infrastructure, software, maintenance, and contracting capabilities. All the aspects mentioned above lead the organization to lack the agility to adapt to market changes. It also hampers the company to adopt the latest techniques, adhere to standards across the board, and remain consistent in conforming to regulatory control. Best Solution for Minimizing the Silos of ERPs The only solution to eliminate the silos of ERPs is to implement a single, centralized management solution across the organization. By doing so, only a single version of processes will take place in different departments of the company. Additionally, this system would also dynamically unlock values by actively managing performance and thereby supporting business process changes. Hence, a single-instance ERP system can significantly help in interfacing and integrating with the external suppliers or customer systems efficiently. However, a single ERP solution implementation does not happen overnight. It takes a changed management strategy to achieve reports from stakeholders across different departments. By using the same ERP system, all departments will be measured and reported on, in the same way, resulting in clear visibility of processes taking place across the organization. Presenting a five-step methodology to implement a single-instance ERP solution across the organization: Launch the Project The first step of the company's change management strategy is to overview the end-to-end process, determine the technology to be implemented, and communicate with the employees. For making this possible, you need to assign a project team to carry out the processes. This team could manage the scope of the project to be discussed, engagement of stakeholders, and set KPIs to define the output requirements of a project. 2. Trace the Solution The next step is to review how different departments are dealing with the changes and agree with future procedures as required. By specifying the latest interfaces and defining the transformation requirements at this stage, you can quickly get to the testing stage of interface units. Before designing your ERP solution, you should understand your business requirements and create it accordingly. You should ensure to create such a solution that meets all the challenges in your company from the very top of the organization down to the lowest levels. 3. Establish the Solution Once selecting the centralized solution, the next critical step is to test end-to-end processes as part of an application solution test. This test usually requires sample volume testing that happens in different departments to ensure consistency of functionality and reporting capabilities. 4. Implement the Solution This stage covers complete solution testing, as well as using CPM (Corporate Performance Management) tools to train expert practitioners in the technology. By incorporating end-user training, you can ensure a seamless transition to the employees to be ready once the solution goes live. 5. Go Live and Track the Issues Once your solution is tested and ready to go live, you need to apply the test configuration to the live environment. This type of testing and management should begin right from the starting stage of the initiation of the project. Additionally, you also need to evaluate performance levels using advanced Business Intelligence tools continuously. Enhancing Data Integrity: Having a single integrated ERP system provides the opportunity to manage data securely and reliably for the company, its customers, and partners. Maintaining data integrity is crucial for any company operating in the A&D market, and implementing a centralized ERP system across all departments minimizes the need to transfer data from system to system as it moves from department to department. Final Words: As discussed above, implementing ERP as a centralized, integrated system improves data integrity. Additionally, an integrated system also provides a 360-degree view of operational business processes and performances.
Nowadays, organizations work with a scalable approach and operate across various sites. These sites include different divisions within the company, such as the asset lifecycle, from design and manufacture to service and project management. All of these divisions could be running different ERP systems or at least different instances of a standard ERP. Enterprise resource planning proves to be an efficient system of integrated applications. It helps manage the business and automate many back-office functions related to technology, services, and human resources. There are many aspects associated with using ERP as a centralized, integrated system. Let’s discuss how it operates and what are the challenges faced by such a system. Minimizing the Silos of ERPs Multiple ERP systems in an organization result in different reporting tools, analytics, and supply chain monitors. These differences result in damaged reporting, which means that the company cannot optimize performance across all operations and identify which parts need modification. Moreover, having multiple ERPs in one place can result in expensive infrastructure, software, maintenance, and contracting capabilities. All the aspects mentioned above lead the organization to lack the agility to adapt to market changes. It also hampers the company to adopt the latest techniques, adhere to standards across the board, and remain consistent in conforming to regulatory control. Best Solution for Minimizing the Silos of ERPs The only solution to eliminate the silos of ERPs is to implement a single, centralized management solution across the organization. By doing so, only a single version of processes will take place in different departments of the company. Additionally, this system would also dynamically unlock values by actively managing performance and thereby supporting business process changes. Hence, a single-instance ERP system can significantly help in interfacing and integrating with the external suppliers or customer systems efficiently. However, a single ERP solution implementation does not happen overnight. It takes a changed management strategy to achieve reports from stakeholders across different departments. By using the same ERP system, all departments will be measured and reported on, in the same way, resulting in clear visibility of processes taking place across the organization. Presenting a five-step methodology to implement a single-instance ERP solution across the organization: Launch the Project The first step of the company's change management strategy is to overview the end-to-end process, determine the technology to be implemented, and communicate with the employees. For making this possible, you need to assign a project team to carry out the processes. This team could manage the scope of the project to be discussed, engagement of stakeholders, and set KPIs to define the output requirements of a project. 2. Trace the Solution The next step is to review how different departments are dealing with the changes and agree with future procedures as required. By specifying the latest interfaces and defining the transformation requirements at this stage, you can quickly get to the testing stage of interface units. Before designing your ERP solution, you should understand your business requirements and create it accordingly. You should ensure to create such a solution that meets all the challenges in your company from the very top of the organization down to the lowest levels. 3. Establish the Solution Once selecting the centralized solution, the next critical step is to test end-to-end processes as part of an application solution test. This test usually requires sample volume testing that happens in different departments to ensure consistency of functionality and reporting capabilities. 4. Implement the Solution This stage covers complete solution testing, as well as using CPM (Corporate Performance Management) tools to train expert practitioners in the technology. By incorporating end-user training, you can ensure a seamless transition to the employees to be ready once the solution goes live. 5. Go Live and Track the Issues Once your solution is tested and ready to go live, you need to apply the test configuration to the live environment. This type of testing and management should begin right from the starting stage of the initiation of the project. Additionally, you also need to evaluate performance levels using advanced Business Intelligence tools continuously. Enhancing Data Integrity: Having a single integrated ERP system provides the opportunity to manage data securely and reliably for the company, its customers, and partners. Maintaining data integrity is crucial for any company operating in the A&D market, and implementing a centralized ERP system across all departments minimizes the need to transfer data from system to system as it moves from department to department. Final Words: As discussed above, implementing ERP as a centralized, integrated system improves data integrity. Additionally, an integrated system also provides a 360-degree view of operational business processes and performances.

Nowadays, organizations work with a scalable approach and operate across various sites. These sites include different divisions within the company, such as the asset lifecycle, from design and manufacture to service and project management. All of these divisions could be running different ERP systems or at least different instances of a standard ERP. Enterprise resource planning proves to be an efficient system of integrated applications. It helps manage the business and automate many back-office functions related to technology, services, and human resources. There are many aspects associated with using ERP as a centralized, integrated system. Let’s discuss how it operates and what are the challenges faced by such a system.

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Minimizing the Silos of ERPs

Multiple ERP systems in an organization result in different reporting tools, analytics, and supply chain monitors. These differences result in damaged reporting, which means that the company cannot optimize performance across all operations and identify which parts need modification.

Moreover, having multiple ERPs in one place can result in expensive infrastructure, software, maintenance, and contracting capabilities. All the aspects mentioned above lead the organization to lack the agility to adapt to market changes. It also hampers the company to adopt the latest techniques, adhere to standards across the board, and remain consistent in conforming to regulatory control.

Best Solution for Minimizing the Silos of ERPs

The only solution to eliminate the silos of ERPs is to implement a single, centralized management solution across the organization. By doing so, only a single version of processes will take place in different departments of the company. Additionally, this system would also dynamically unlock values by actively managing performance and thereby supporting business process changes. Hence, a single-instance ERP system can significantly help in interfacing and integrating with the external suppliers or customer systems efficiently.

However, a single ERP solution implementation does not happen overnight. It takes a changed management strategy to achieve reports from stakeholders across different departments. By using the same ERP system, all departments will be measured and reported on, in the same way, resulting in clear visibility of processes taking place across the organization.

Presenting a five-step methodology to implement a single-instance ERP solution across the organization:

  1. Launch the Project

The first step of the company's change management strategy is to overview the end-to-end process, determine the technology to be implemented, and communicate with the employees. For making this possible, you need to assign a project team to carry out the processes. This team could manage the scope of the project to be discussed, engagement of stakeholders, and set KPIs to define the output requirements of a project.

2. Trace the Solution

The next step is to review how different departments are dealing with the changes and agree with future procedures as required. By specifying the latest interfaces and defining the transformation requirements at this stage, you can quickly get to the testing stage of interface units. Before designing your ERP solution, you should understand your business requirements and create it accordingly. You should ensure to create such a solution that meets all the challenges in your company from the very top of the organization down to the lowest levels.

3. Establish the Solution

Once selecting the centralized solution, the next critical step is to test end-to-end processes as part of an application solution test. This test usually requires sample volume testing that happens in different departments to ensure consistency of functionality and reporting capabilities.

4. Implement the Solution

This stage covers complete solution testing, as well as using CPM (Corporate Performance Management) tools to train expert practitioners in the technology. By incorporating end-user training, you can ensure a seamless transition to the employees to be ready once the solution goes live.

5. Go Live and Track the Issues

Once your solution is tested and ready to go live, you need to apply the test configuration to the live environment. This type of testing and management should begin right from the starting stage of the initiation of the project. Additionally, you also need to evaluate performance levels using advanced Business Intelligence tools continuously.

Enhancing Data Integrity:

Having a single integrated ERP system provides the opportunity to manage data securely and reliably for the company, its customers, and partners. Maintaining data integrity is crucial for any company operating in the A&D market, and implementing a centralized ERP system across all departments minimizes the need to transfer data from system to system as it moves from department to department.

Final Words:

As discussed above, implementing ERP as a centralized, integrated system improves data integrity. Additionally, an integrated system also provides a 360-degree view of operational business processes and performances.

“Data integration” is undoubtedly the most interesting subject of the tech-world these days. The customer and business are rhyming better on account of the modern data processing system. And, with data-integration being part of it, companies can take the holistic view of their internal processes and expand their business with minimum risks. Businesses from all areas are refining valuable information on various stages, whether it is the human resource, online payment, logistics, supply chain, or even social media accounts. If business owners connect all this information, it may give valuable insights into business operations and better decision-making ability.  It helps to create the roadmap to run a business successfully.  In simple words, data integration is the process of accumulating data from disparate sources into meaningful and valuable information.  However, being said so, it is essential to choose the right approach for data integration.  There are various techniques for data integration, but based on the complexity of the data extraction process, the techniques are adopted. Data integration applies to various areas like:Data warehousingData migrationEnterprise application/information integrationMaster data management Approach for Data-Integration       Step 1: Decide how you want to sync your data        Step 2: Inputting data into an integration system        Step 3: Map your systems, fields, and objects       Step 4: Setting up filters for data refining.        Step 5: Start your integration- sync historical data or start fresh? Techniques for Data-integration1)  Manual Integration: Manual integration usually involves writing code for connecting different data sources, collecting the data, and cleaning it, etc., without automation.  Right through data collection, to cleaning, to the presentation, everything is done by hand. The strategy is best for one-time instances, but it is a time-consuming and tedious process.2)  Middleware integration: It is ideal for businesses, who want to integrate the legacy systems with newer ones, as middleware can act as an interpreter between these systems. Middleware is a layer of software that creates a common platform for all interactions, internal and external to the organization—system-to-system, system-to-database, human-to-system, web-based, and mobile-device-based interactions. It is mostly a communications tool and has limited capabilities for data analytics.3) Application-based integration: The “application based integration’ technique is mostly a communications tool and has limited capabilities for data analytics. It allows the user to access various data sources and returns integrated results to the user. It is a standard integration method used in enterprises working in hybrid cloud environments. However, when there is a large volume of data, and users have to manage multiple data sources, this technique is less preferable.  The technique is most suited to integrate a very limited number of applications. 4) Uniform access integration or Virtual Integration:The approach is best for those businesses that need to access multiple, disparate systems.   In this technique, there is no need to create a separate place to store data.  The technique creates a uniform appearance of data for the end-user. The main advantage is that there is zero latency from the source system to the consolidated view for the data updates.  With data virtualization, there is no need for a separate data store for the consolidated unified data.  However, the limitation for accessing the data history and version management is a challenge for this data integration technique. It can be applied to only some kinds of database types. It means it may not handle the excess load on the source system.5) Common storage integration: It is similar to uniform access, except it creates and stores a copy of the data in a data warehouse. It is the best approach and allows for the most sophisticated queries.  The technique collects data from various sources, combining them to a central space and management (Database files, mainframes, and flat files).  Though it is considered as one of the best data integration techniques, the user has to bear higher maintenance cost.      Tools for Data integrationIBM InfoSphereInformatica PowerCenterMicrosoft SQL Server Integration ServicesOracle Data Integration Platform (DIP)SAP Data ServicesPanoplyActian DataConnectSyncsort
“Data integration” is undoubtedly the most interesting subject of the tech-world these days. The customer and business are rhyming better on account of the modern data processing system. And, with data-integration being part of it, companies can take the holistic view of their internal processes and expand their business with minimum risks. Businesses from all areas are refining valuable information on various stages, whether it is the human resource, online payment, logistics, supply chain, or even social media accounts. If business owners connect all this information, it may give valuable insights into business operations and better decision-making ability.  It helps to create the roadmap to run a business successfully.  In simple words, data integration is the process of accumulating data from disparate sources into meaningful and valuable information.  However, being said so, it is essential to choose the right approach for data integration.  There are various techniques for data integration, but based on the complexity of the data extraction process, the techniques are adopted. Data integration applies to various areas like:Data warehousingData migrationEnterprise application/information integrationMaster data management Approach for Data-Integration       Step 1: Decide how you want to sync your data        Step 2: Inputting data into an integration system        Step 3: Map your systems, fields, and objects       Step 4: Setting up filters for data refining.        Step 5: Start your integration- sync historical data or start fresh? Techniques for Data-integration1)  Manual Integration: Manual integration usually involves writing code for connecting different data sources, collecting the data, and cleaning it, etc., without automation.  Right through data collection, to cleaning, to the presentation, everything is done by hand. The strategy is best for one-time instances, but it is a time-consuming and tedious process.2)  Middleware integration: It is ideal for businesses, who want to integrate the legacy systems with newer ones, as middleware can act as an interpreter between these systems. Middleware is a layer of software that creates a common platform for all interactions, internal and external to the organization—system-to-system, system-to-database, human-to-system, web-based, and mobile-device-based interactions. It is mostly a communications tool and has limited capabilities for data analytics.3) Application-based integration: The “application based integration’ technique is mostly a communications tool and has limited capabilities for data analytics. It allows the user to access various data sources and returns integrated results to the user. It is a standard integration method used in enterprises working in hybrid cloud environments. However, when there is a large volume of data, and users have to manage multiple data sources, this technique is less preferable.  The technique is most suited to integrate a very limited number of applications. 4) Uniform access integration or Virtual Integration:The approach is best for those businesses that need to access multiple, disparate systems.   In this technique, there is no need to create a separate place to store data.  The technique creates a uniform appearance of data for the end-user. The main advantage is that there is zero latency from the source system to the consolidated view for the data updates.  With data virtualization, there is no need for a separate data store for the consolidated unified data.  However, the limitation for accessing the data history and version management is a challenge for this data integration technique. It can be applied to only some kinds of database types. It means it may not handle the excess load on the source system.5) Common storage integration: It is similar to uniform access, except it creates and stores a copy of the data in a data warehouse. It is the best approach and allows for the most sophisticated queries.  The technique collects data from various sources, combining them to a central space and management (Database files, mainframes, and flat files).  Though it is considered as one of the best data integration techniques, the user has to bear higher maintenance cost.      Tools for Data integrationIBM InfoSphereInformatica PowerCenterMicrosoft SQL Server Integration ServicesOracle Data Integration Platform (DIP)SAP Data ServicesPanoplyActian DataConnectSyncsort

“Data integration” is undoubtedly the most interesting subject of the tech-world these days. The customer and business are rhyming better on account of the modern data processing system. And, with data-integration being part of it, companies can take the holistic view of their internal processes and expand their business with minimum risks.

 

Businesses from all areas are refining valuable information on various stages, whether it is the human resource, online payment, logistics, supply chain, or even social media accounts. If business owners connect all this information, it may give valuable insights into business operations and better decision-making ability.  It helps to create the roadmap to run a business successfully.  

In simple words, data integration is the process of accumulating data from disparate sources into meaningful and valuable information.  

However, being said so, it is essential to choose the right approach for data integration.  There are various techniques for data integration, but based on the complexity of the data extraction process, the techniques are adopted. 

Data integration applies to various areas like:

  • Data warehousing
  • Data migration
  • Enterprise application/information integration
  • Master data management

 

Approach for Data-Integration

       Step 1: Decide how you want to sync your data 

       Step 2: Inputting data into an integration system 

       Step 3: Map your systems, fields, and objects

       Step 4: Setting up filters for data refining. 

       Step 5: Start your integration- sync historical data or start fresh?

 

Techniques for Data-integration

1)  Manual Integration

Manual integration usually involves writing code for connecting different data sources, collecting the data, and cleaning it, etc., without automation.  Right through data collection, to cleaning, to the presentation, everything is done by hand. The strategy is best for one-time instances, but it is a time-consuming and tedious process.

2)  Middleware integration

It is ideal for businesses, who want to integrate the legacy systems with newer ones, as middleware can act as an interpreter between these systems. Middleware is a layer of software that creates a common platform for all interactions, internal and external to the organization—system-to-system, system-to-database, human-to-system, web-based, and mobile-device-based interactions. It is mostly a communications tool and has limited capabilities for data analytics.

3) Application-based integration

The “application based integration’ technique is mostly a communications tool and has limited capabilities for data analytics. It allows the user to access various data sources and returns integrated results to the user. It is a standard integration method used in enterprises working in hybrid cloud environments. However, when there is a large volume of data, and users have to manage multiple data sources, this technique is less preferable.  The technique is most suited to integrate a very limited number of applications. 

4) Uniform access integration or Virtual Integration:

The approach is best for those businesses that need to access multiple, disparate systems.   In this technique, there is no need to create a separate place to store data.  The technique creates a uniform appearance of data for the end-user. The main advantage is that there is zero latency from the source system to the consolidated view for the data updates.  With data virtualization, there is no need for a separate data store for the consolidated unified data.  However, the limitation for accessing the data history and version management is a challenge for this data integration technique. It can be applied to only some kinds of database types. It means it may not handle the excess load on the source system.

5) Common storage integration

It is similar to uniform access, except it creates and stores a copy of the data in a data warehouse. It is the best approach and allows for the most sophisticated queries.  The technique collects data from various sources, combining them to a central space and management (Database files, mainframes, and flat files).  Though it is considered as one of the best data integration techniques, the user has to bear higher maintenance cost.     

 

Tools for Data integration

  • IBM InfoSphere
  • Informatica PowerCenter
  • Microsoft SQL Server Integration Services
  • Oracle Data Integration Platform (DIP)
  • SAP Data Services
  • Panoply
  • Actian DataConnect
  • Syncsort
A mapping Application Program Interface(API) enables users to interact and integrate with the existing map services. This process helps the users to develop a new application or enhance the functionality of an existing one. These APIs comprises of classes for maps and layers to make it easier for the user to create, edit, and display a map without coding all of the low-level logThe team of highly skilled and proficient app developers at Openxcell provides excellent services to integrate map APIs into mobile apps.  I have curated a list of top map APIs available in the market for mobile apps: Google Maps  Google Maps is the leading and one of the widely used map APIs. Millions of third-party applications take advantage of Google’s mapping tools as it comprises of a library of related APIs and extensive documentation. Google has now split its mapping services into multiple function-specific APIs.  List of Google Maps Location APIs include:  1. Google Geocoding API – The Geocoding API is used to convert geographic coordinates to addresses, and vice versa. Popular endpoints comprises of:   addressToCoordinates: converts a free form address to a set of latitude and longitude coordinates  getAddressComponents: converts a free form address string to an object with different properties like street number or country   2. Google Places API – Google Places API delivers detailed information about a specific place. The endpoints include:   getImageURL: returns the URL for an image of the site  getNearbyPlace: lets users search for locations in a specified area.   3. Google Timezone API – Provides time zone data for any location. Popular endpoints include:   getLocalTime: calculates the local time  getTimeZone: returns time zone data for a specific point   4. Google Maps Distance Matrix API – Calculates distances and travel times based on the start and endpoints. This API also comprises of different modes of transportation such as driving, public transit, walking, or cycling. The endpoints include:   getDrivingDistanceMatrix: returns a distance calculation based on the road network  getWalkingDistanceMatrix, getBicyclingDistanceMatrix: modes of transportation   5. Google Maps Driving Directions API – This API is specially designed to provide directions between locations, comprising of different modes of transportation such as driving, public transit, walking, or cycling. The primary endpoint here is Directions, which returns step by step directions between any two addresses.  How to set up Google Maps API Key?  You can easily set up Google Maps API key by the simple process explained in the screenshot below. How much does it cost to integrate the Google Maps API with a mobile app?  Google Maps API pricing depends on monthly usage and is priced per 1,000 calls. Google also offers $200 free usage every month.  For Example:   Static Maps – $2.00 per 1,000 calls  Directions – $5.00 per 1,000 calls  Basic Places Details – $17.00 per 1,000 calls   Bing Maps  Microsoft powers Bing Maps, and the company is continuously adding features and updates to the Platform. Microsoft is putting constant efforts in competing with Google’s popular services.  The Bing Maps API provides a wide range of features, including interactive maps, static maps, geocoding, route data, traffic information, high-resolution aerial imagery, 3-D city imagery, and spatial data sources.  Popular endpoints of this API comprises of calculating the route. This route is calculated by detailed walking, driving or transit route information between locations and getImageryMetadata, which returns metadata such as URLs and dimensions for images hosted by Bing Maps.  How to set up Bing Maps API Key?  How much does it cost to integrate Bing Maps API with a mobile app?  Some of the licensing programs offered by Bing Maps are:   Open Value  Open Value Subscription  Microsoft Product and Services Agreement  Select Plus  Enterprise Agreement   Subscription-based applications of Bing starts at 100,000 transactions per month for $4,500.  MapBox  Mapbox is an open-source map API that authorizes developers to build customized maps with efficient features such as custom markers, textures, illustrations, and vector tiles. Mapbox also delivers extensive and easy-to-follow API documentation. Endpoints of Mapbox comprises of:  getDrivingDuration - returns the travel duration by car  getWalkingDuration - returns the travel duration by walking  getCyclingDuration - returns the travel duration by bicycle  How to set up Mapbox API Key?  Mapbox implies Access Tokens to authorize access to its APIs and SDKs, which associate API requests with the user’s account and can be created on their account’s Access Tokens page.  How much does it cost to integrate Mapbox API with a mobile app?  Mapbox offers its services in all price ranges starting from a free starter plan to an updated enterprise plan according to the user’s requirements.   Free up to 50,000 monthly active users in a mobile SDK  Charges $0.50 per 1,000 directions requests  Charges $499 per month for commercial licensing   Foursquare  The Foursquare API integrates data for user to merchant collaborations. This tool offers comprehensive and well-organized documentation and a firm set of client libraries. The popular endpoints of Foursquare include:  addCommentToCheckin - appends comments to specific locations  addVenue - allows users to add a new venue to the app  How to set up a Foursquare API Key?  You can easily set up a Foursquare API key by following the simple steps.  How much does it cost to integrate Foursquare Maps API with a mobile app?  Foursquare offers different pricing tiers for developers. Have a look at the image given below to know about the pricing structure of Foursquare Maps API.  Mapillary  Mapillary authorizes its users to collect and share street-level images and map locations based on the photos provided by them.  Popular endpoints include:  getSingleImage: returns an image object based on the image ID  getUserStatistics: provides data and statistics about a user object.  How to set up a Mapillary API Key?  You can easily get a Mapillary API key as described in the picture below:  How much does it cost to integrate Mapillary API with a mobile app?  Mapillary’s annual pricing structure depends on the length of the road network and the types of data needed, like images, traffic signs, and object labels.  $2,000 per year for imaging less than 1,000 km road network  $9,600 per year for imaging and traffic signs on a less than 5,000 km road network  $50,000 per year for all data on a less than10,000 km road network  All the map APIs mentioned here are the leading and most popular to integrate into mobile apps. You can pick the one that best fits your requirements. OpenXcell Technolabs provides world-class services and solutions to help you integrate the map API into your mobile app.
A mapping Application Program Interface(API) enables users to interact and integrate with the existing map services. This process helps the users to develop a new application or enhance the functionality of an existing one. These APIs comprises of classes for maps and layers to make it easier for the user to create, edit, and display a map without coding all of the low-level logThe team of highly skilled and proficient app developers at Openxcell provides excellent services to integrate map APIs into mobile apps.  I have curated a list of top map APIs available in the market for mobile apps: Google Maps  Google Maps is the leading and one of the widely used map APIs. Millions of third-party applications take advantage of Google’s mapping tools as it comprises of a library of related APIs and extensive documentation. Google has now split its mapping services into multiple function-specific APIs.  List of Google Maps Location APIs include:  1. Google Geocoding API – The Geocoding API is used to convert geographic coordinates to addresses, and vice versa. Popular endpoints comprises of:   addressToCoordinates: converts a free form address to a set of latitude and longitude coordinates  getAddressComponents: converts a free form address string to an object with different properties like street number or country   2. Google Places API – Google Places API delivers detailed information about a specific place. The endpoints include:   getImageURL: returns the URL for an image of the site  getNearbyPlace: lets users search for locations in a specified area.   3. Google Timezone API – Provides time zone data for any location. Popular endpoints include:   getLocalTime: calculates the local time  getTimeZone: returns time zone data for a specific point   4. Google Maps Distance Matrix API – Calculates distances and travel times based on the start and endpoints. This API also comprises of different modes of transportation such as driving, public transit, walking, or cycling. The endpoints include:   getDrivingDistanceMatrix: returns a distance calculation based on the road network  getWalkingDistanceMatrix, getBicyclingDistanceMatrix: modes of transportation   5. Google Maps Driving Directions API – This API is specially designed to provide directions between locations, comprising of different modes of transportation such as driving, public transit, walking, or cycling. The primary endpoint here is Directions, which returns step by step directions between any two addresses.  How to set up Google Maps API Key?  You can easily set up Google Maps API key by the simple process explained in the screenshot below. How much does it cost to integrate the Google Maps API with a mobile app?  Google Maps API pricing depends on monthly usage and is priced per 1,000 calls. Google also offers $200 free usage every month.  For Example:   Static Maps – $2.00 per 1,000 calls  Directions – $5.00 per 1,000 calls  Basic Places Details – $17.00 per 1,000 calls   Bing Maps  Microsoft powers Bing Maps, and the company is continuously adding features and updates to the Platform. Microsoft is putting constant efforts in competing with Google’s popular services.  The Bing Maps API provides a wide range of features, including interactive maps, static maps, geocoding, route data, traffic information, high-resolution aerial imagery, 3-D city imagery, and spatial data sources.  Popular endpoints of this API comprises of calculating the route. This route is calculated by detailed walking, driving or transit route information between locations and getImageryMetadata, which returns metadata such as URLs and dimensions for images hosted by Bing Maps.  How to set up Bing Maps API Key?  How much does it cost to integrate Bing Maps API with a mobile app?  Some of the licensing programs offered by Bing Maps are:   Open Value  Open Value Subscription  Microsoft Product and Services Agreement  Select Plus  Enterprise Agreement   Subscription-based applications of Bing starts at 100,000 transactions per month for $4,500.  MapBox  Mapbox is an open-source map API that authorizes developers to build customized maps with efficient features such as custom markers, textures, illustrations, and vector tiles. Mapbox also delivers extensive and easy-to-follow API documentation. Endpoints of Mapbox comprises of:  getDrivingDuration - returns the travel duration by car  getWalkingDuration - returns the travel duration by walking  getCyclingDuration - returns the travel duration by bicycle  How to set up Mapbox API Key?  Mapbox implies Access Tokens to authorize access to its APIs and SDKs, which associate API requests with the user’s account and can be created on their account’s Access Tokens page.  How much does it cost to integrate Mapbox API with a mobile app?  Mapbox offers its services in all price ranges starting from a free starter plan to an updated enterprise plan according to the user’s requirements.   Free up to 50,000 monthly active users in a mobile SDK  Charges $0.50 per 1,000 directions requests  Charges $499 per month for commercial licensing   Foursquare  The Foursquare API integrates data for user to merchant collaborations. This tool offers comprehensive and well-organized documentation and a firm set of client libraries. The popular endpoints of Foursquare include:  addCommentToCheckin - appends comments to specific locations  addVenue - allows users to add a new venue to the app  How to set up a Foursquare API Key?  You can easily set up a Foursquare API key by following the simple steps.  How much does it cost to integrate Foursquare Maps API with a mobile app?  Foursquare offers different pricing tiers for developers. Have a look at the image given below to know about the pricing structure of Foursquare Maps API.  Mapillary  Mapillary authorizes its users to collect and share street-level images and map locations based on the photos provided by them.  Popular endpoints include:  getSingleImage: returns an image object based on the image ID  getUserStatistics: provides data and statistics about a user object.  How to set up a Mapillary API Key?  You can easily get a Mapillary API key as described in the picture below:  How much does it cost to integrate Mapillary API with a mobile app?  Mapillary’s annual pricing structure depends on the length of the road network and the types of data needed, like images, traffic signs, and object labels.  $2,000 per year for imaging less than 1,000 km road network  $9,600 per year for imaging and traffic signs on a less than 5,000 km road network  $50,000 per year for all data on a less than10,000 km road network  All the map APIs mentioned here are the leading and most popular to integrate into mobile apps. You can pick the one that best fits your requirements. OpenXcell Technolabs provides world-class services and solutions to help you integrate the map API into your mobile app.

A mapping Application Program Interface(API) enables users to interact and integrate with the existing map services. This process helps the users to develop a new application or enhance the functionality of an existing one. These APIs comprises of classes for maps and layers to make it easier for the user to create, edit, and display a map without coding all of the low-level logThe team of highly skilled and proficient app developers at Openxcell provides excellent services to integrate map APIs into mobile apps. 

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I have curated a list of top map APIs available in the market for mobile apps:

Google Maps 

Google Maps is the leading and one of the widely used map APIs. Millions of third-party applications take advantage of Google’s mapping tools as it comprises of a library of related APIs and extensive documentation. Google has now split its mapping services into multiple function-specific APIs. 

List of Google Maps Location APIs include: 

1. Google Geocoding API – The Geocoding API is used to convert geographic coordinates to addresses, and vice versa.

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Popular endpoints comprises of:  

  • addressToCoordinates: converts a free form address to a set of latitude and longitude coordinates 
  • getAddressComponents: converts a free form address string to an object with different properties like street number or country  

2. Google Places API – Google Places API delivers detailed information about a specific place. The endpoints include:  

  • getImageURL: returns the URL for an image of the site 
  • getNearbyPlace: lets users search for locations in a specified area.  

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3. Google Timezone API – Provides time zone data for any location. Popular endpoints include:  

  • getLocalTime: calculates the local time 
  • getTimeZone: returns time zone data for a specific point  

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4. Google Maps Distance Matrix API – Calculates distances and travel times based on the start and endpoints. This API also comprises of different modes of transportation such as driving, public transit, walking, or cycling. The endpoints include:  

  • getDrivingDistanceMatrix: returns a distance calculation based on the road network 
  • getWalkingDistanceMatrix, getBicyclingDistanceMatrix: modes of transportation  

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5. Google Maps Driving Directions API – This API is specially designed to provide directions between locations, comprising of different modes of transportation such as driving, public transit, walking, or cycling. The primary endpoint here is Directions, which returns step by step directions between any two addresses. 

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How to set up Google Maps API Key? 

You can easily set up Google Maps API key by the simple process explained in the screenshot below.

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How much does it cost to integrate the Google Maps API with a mobile app? 

Google Maps API pricing depends on monthly usage and is priced per 1,000 calls. Google also offers $200 free usage every month. 

For Example:  

  • Static Maps – $2.00 per 1,000 calls 
  • Directions – $5.00 per 1,000 calls 
  • Basic Places Details – $17.00 per 1,000 calls  

Bing Maps 

Microsoft powers Bing Maps, and the company is continuously adding features and updates to the Platform. Microsoft is putting constant efforts in competing with Google’s popular services. 

The Bing Maps API provides a wide range of features, including interactive maps, static maps, geocoding, route data, traffic information, high-resolution aerial imagery, 3-D city imagery, and spatial data sources. 

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Popular endpoints of this API comprises of calculating the route. This route is calculated by detailed walking, driving or transit route information between locations and getImageryMetadata, which returns metadata such as URLs and dimensions for images hosted by Bing Maps. 

How to set up Bing Maps API Key? 

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How much does it cost to integrate Bing Maps API with a mobile app? 

Some of the licensing programs offered by Bing Maps are:  

  • Open Value 
  • Open Value Subscription 
  • Microsoft Product and Services Agreement 
  • Select Plus 
  • Enterprise Agreement  

Subscription-based applications of Bing starts at 100,000 transactions per month for $4,500

MapBox 

Mapbox is an open-source map API that authorizes developers to build customized maps with efficient features such as custom markers, textures, illustrations, and vector tiles. Mapbox also delivers extensive and easy-to-follow API documentation. Endpoints of Mapbox comprises of: 

getDrivingDuration - returns the travel duration by car 

getWalkingDuration - returns the travel duration by walking 

getCyclingDuration - returns the travel duration by bicycle 

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How to set up Mapbox API Key? 

Mapbox implies Access Tokens to authorize access to its APIs and SDKs, which associate API requests with the user’s account and can be created on their account’s Access Tokens page. 

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How much does it cost to integrate Mapbox API with a mobile app? 

Mapbox offers its services in all price ranges starting from a free starter plan to an updated enterprise plan according to the user’s requirements.  

  • Free up to 50,000 monthly active users in a mobile SDK 
  • Charges $0.50 per 1,000 directions requests 
  • Charges $499 per month for commercial licensing  

Foursquare 

The Foursquare API integrates data for user to merchant collaborations. This tool offers comprehensive and well-organized documentation and a firm set of client libraries. The popular endpoints of Foursquare include: 

addCommentToCheckin - appends comments to specific locations 

addVenue - allows users to add a new venue to the app 

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How to set up a Foursquare API Key? 

You can easily set up a Foursquare API key by following the simple steps. 

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How much does it cost to integrate Foursquare Maps API with a mobile app? 

Foursquare offers different pricing tiers for developers. Have a look at the image given below to know about the pricing structure of Foursquare Maps API. 

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Mapillary 

Mapillary authorizes its users to collect and share street-level images and map locations based on the photos provided by them. 

Popular endpoints include: 

getSingleImage: returns an image object based on the image ID 

getUserStatistics: provides data and statistics about a user object. 

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How to set up a Mapillary API Key? 

You can easily get a Mapillary API key as described in the picture below: 

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How much does it cost to integrate Mapillary API with a mobile app? 

Mapillary’s annual pricing structure depends on the length of the road network and the types of data needed, like images, traffic signs, and object labels. 

$2,000 per year for imaging less than 1,000 km road network 

$9,600 per year for imaging and traffic signs on a less than 5,000 km road network 

$50,000 per year for all data on a less than10,000 km road network 

All the map APIs mentioned here are the leading and most popular to integrate into mobile apps. You can pick the one that best fits your requirements. OpenXcell Technolabs provides world-class services and solutions to help you integrate the map API into your mobile app.

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