Enterprise Mobility Apps have various needs, the data which is being shown and processed in mobility apps have some definite characteristics. How you manage and cope-up with these leads to success or failure of enterprise application.
Lot of enterprise applications have to deal with transactional data which is being captured in various legacy systems. Average business can generate around 1 million transactions a year. Every transaction leads to lot of datasets.
Every business needs to record and analyse data from last 5 – 10 years, this leads to large volume of data to be consider for enterprise application.
Enterprise applications not only have to deal with numerical transactional data but there are other data types also involved.
Using images while doing transactions is very frequent. Like purchasing an item on eBay or any other online site, we always see images associated with that product.
Now enterprises are also use documents and videos while doing day to day enterprise business. This creates need to support variety of data and while transferring this information from legacy system to mobile devices this plays really vital role.
Solution architect always neglect this factor while designing mobility solution which then creates lot for rework and operational issues.
Data not only needs to be there with its entirety but also have to be accurate. Unlike consumer application, where little variance can be okay, in enterprise applications it have be accurate.
Consider you have developed ordering application for enterprise and you don’t have accurate information of product availability and pricing coming to you, then you will end with lot of mess and inaccurate transactions.
You need to think how accurately we can transfer and use the information while designing enterprise application.
Employees are using a diverse set of mobile devices, operating systems, consumer apps, cloud services, and network access points—all while handling sensitive company and customer data.
This shift demands a new approach to securing your endpoints, sensitive data, and the end user activities that put your data at risk.
Here’s a typical enterprise data security scenario in corporate today: There are three people who access a company’s data stores. The first, a sales manager, sees the opportunity to match products with paying customers, based on their buying history. The second, a business manager, sees the opportunity to catch the competition flatfooted with unique market intelligence. The third is a hacker who just sees malevolent opportunity.
Your job is to deliver useful information to the first two in real time while denying the third access, information and, if possible, his freedom. How you do that is called enterprise data security.
Today’s enterprise does not have single system on which they operates, data come from various legacy systems. Your mobile system would like to connect to some of these systems; data aggregation and representation is various forms is major task in mobile application. All the systems from which we need to consolidate the data might not be interconnected which leads to additional complexity.
Designing solution to interconnect these various data sources and there form is major challenge for an architect & developers.
In today’s world, everyone expect to get information in speed of light. So getting real-time data as fast as possible is the major need for enterprise application.
Large volume of data, variety of data, data encryption and consolidating data from various systems have negative impact of speed of data. Although networks are quite strong now a days but still transferring the information when you are limitedly connected to network is a challenge for sure!