If a developer designs a system for Big Data analysis or creates programs for processing and analyzing application data for mobile gadgets, in any case he cannot do without analytics tools and services. Big Data is understood as the basis of the business of insurance companies that depend on information, that is, probabilities, statistical data, customer information, and so on.
Today, for programmers whose responsibilities include insurance software development, many useful tools have been created that are suitable for their needs and corresponding to their skills.
TOP-12 tools for programmers of insurance companies
Every developer who works on coding for insurance products will need the following 12 "helpers":
- BitDeli. It is a startup that has been operating since November 2021. With its help, programmers are able to analyze various data using a variety of metrics through Python scripts. An important plus of it is that the scripts can be of different levels of complexity, which will depend on the needs of the developers. They can even be self-taught. Suitable for analytics. The solution is easy to use.
- Continuity. It is a platform that was created with the aim of pulling businesses to the same level as the companies of its creators - Yahoo and Facebook. The guys created a data structure to implement a new level of abstraction over complex connections in HBase and Hadoop. The main advantage of the platform is the facilitation of Big Data development processes for programs that are designed to work with external and internal audiences.
- Flurry. This application is in the "store" format, which is intended for the creation of mobile programs, as well as for the analysis of their data. This allows the application to be improved.
- Google Prediction API. Suitable for developers who have the necessary knowledge to work with the Prediction API. This interface will provide a wide range of diagrams and topics, and will also allow the application to give correct answers.
- Infochimps. We are talking about a platform, despite the fact that the brand today is trying to become a company and become even more successful. As for the platform for the programmer, he gets the Wukong framework, which has a key task - to interact with Hadoop and its data, while using Ruby scripts.
- Keen IO. In 2012, this tool was recognized as the best and most effective in its category, and it is used in analytics by mobile application developers. Its plus lies in its ease of use. You need to apply just one line, which is inserted into the source code to be able to track all the necessary information from the programs.
- Kontagent. A tool for processing huge amounts of information.
- Mortar Data. It is a cloud service that has managed to replace MapReduce with a combination of Python and Pig. It differs in simplicity and clarity in operation.
- Placed Analytics. A tool that provides programmers with ready-made products. With its help, it is possible to obtain complete information about the use of the application by customers: where, when and how long it lasted. The data is especially useful for app owners and advertisers.
- Precog. It is an interactive environment for developing insurance analytics products based on Quirrel, an open query language.
- Spring for Apache Hadoop. A tool that greatly simplifies the creation of programs that use Hadoop, and also provides integration with other Spring applications.
- StatsMix. It is a tool with which developers can collect and analyze data received from programs using only the languages they have learned.
Take a look at the Fireart site for more interesting and useful information. The main thing to remember is that analytics not only assesses the quality of traffic, looks for ways to increase conversion and reduces the cost of attracting customers, but also determines the most effective advertising channels, compiles portraits of visitors and their behavior patterns on sites, identifies site shortcomings up to technical errors.
