It doesn’t really matter what web framework to choose for developing a CRM system: ASP.NET, Spring, AngularJS, Express, Symfony, Django or Ruby on Rails. All of them have enough capabilities to make your solution work stable, process data quickly and provide scalability opportunity if necessary. If you would like your CRM application to display geographical data and maps, we recommend you to go with Djangoframework. It hosts GeoDjango module that connects to PostGIS, which is PostgreSQL’s spatial objects module. Moreover, GDALfor spatial data and PIL for images are rich enough to cover all the needs of geo data displaying. Since JavaScript is becoming more powerful, we highly recommend to consider using MEAN (Mongo, Express, Angular, Node) stack for programming a CRM app. By using Angular’s Twitter bootstrap plugin, you can create good-looking UI. Node with its multiple modules can manage server part at every step from authentication up to encryption.

The most popular modules are Sales, Marketing, and Service, however, these can be modified or go under other names, for example: Client Management, Order Management, Invoice Management, Events and Tasks Management, System Dashboard, etc.

On-premise CRM is run on computers within the premises of an organization. In this case all the data and information is stored inside the premises of the company, too. Cloud-based CRM software implies that the software and all relevant data, is accessible through the Internet and is displayed in a web browser. According to Gartner, by 2018, large organizations in mature markets will shorten the CRM replacement cycle by two years by moving to Software-as-a-Service model. Nowadays, everything is going into a cloud, and we would recommend not to stand against this. Heroku and Amazon Web Services are proving to have really good system administration and hosting capabilities. Heroku is a bit pricey, but once you subscribe, you can forget about server maintenance at all. Amazon AWS, namely S3 service, will ensure that all your data can be accessible worldwide and with download lightning speed, no matter how many people are calling your CRM server at the same time. Not every company needs to have both applications. However, the combination allows large companies to mix the vital data from each system and get a comprehensive business outlook.

Normally, analytics section in CRM is represented by reports and dashboards helping you to collect and visualise your customer data, engagement levels, sales reps productivity, won/lost opportunities ratio, to name a few. Integration with external analytical services such as Google Analytics, or Talend is also available.

To keep your data safe and sound just follow these basics: Let the specialist conduct security health check before CRM deployment to find vulnerabilities and prevent possible hacker attacks. Define access levels within your organization: set up the basic access to all the records for everyone in the system and impose restrictions on access to specific records, functionality, and workflows depending on the roles and human resource hierarchy. Keep track of user logins based on  IP, API, or browser. Set up password defaults to make CRM users create a complex password and change it every 3-6 months. Regularly audit the system against the security regulations.

Depending on the type of CRM, there are several options available: Custom modules (sections) and fields. You can create a new section in CRM or remove default unnecessary ones and pick the fields to feature the module. Custom fields. You can create fields of any type (textbox, email, checkbox…) Custom UI/UX design. You can add or reorder the sections and fields on each layout, set up the navigation, add quicklinks. Custom workflow. You can map your processes across the CRM ecosystem, set alerts, data compliance checks, verifications, etc.

Amazon S3 provides a simple web service interface that you can use to store and retrieve any amount of data, at any time, from anywhere on the web. Using this web service, you can easily build applications that make use of Internet storage. Since Amazon S3 is highly scalable and you only pay for what you use, you can start small and grow your application as you wish, with no compromise on performance or reliability.

Amazon S3 is also designed to be highly flexible. Store any type and amount of data that you want; read the same piece of data a million times or only for emergency disaster recovery; build a simple FTP application, or a sophisticated web application such as the Amazon.com retail web site. Amazon S3 frees developers to focus on innovation instead of figuring out how to store their data

Amazon S3 is a simple key-based object store. When you store data, you assign a unique object key that can later be used to retrieve the data. Keys can be any string, and they can be constructed to mimic hierarchical attributes. Alternatively, you can use S3 Object Tagging to organize your data across all of your S3 buckets and/or prefixes.

Yes, customers can optionally configure an Amazon S3 bucket to create access log records for all requests made against it. Alternatively, customers who need to capture IAM/user identity information in their logs can configure AWS CloudTrail Data Events.

These access log records can be used for audit purposes and contain details about the request, such as the request type, the resources specified in the request, and the time and date the request was processed.