Data has achieved the state of an asset in today’s competitive business world and nearly all companies are aggregating it from as many sources as possible. Data plays an important role in running businesses. To measure data according to relevant data and expected results, data analysis tools are widely used. The scope of these services is huge. Revenue from data analysis tools will increase by 50% to about 187 billion dollars in 2019.
The companies need to take advantage of data analysis tools and techniques if not they will going to be lagging behind in attracting customers or competing for development. When data analysis tools can help collect, organize and analyze data and then provide information and predictions, they can be used effectively to predict future trends.
Which tool is used?
By using data analysis tools, you can use many integrated functions instead of having to design the same from the beginning. They not only speed up the value you get from Big Data analytics, but you also get better quality details in a short time.
Here are some widely used data analysis tools for your reference. We have tried to arrange these tools at each stage of the Big Data analysis process – including ETL (data preparation), data analysis (actual number breaking) and data display (converting numbers into actionable knowledge for business management). These tools can help your brand grow well, but with a minimum or no cost:
In Data Analysis, ETL is a process in which data is collated from the source system and transferred to the data warehouse. This is the main step in the data analysis chain. The various tools available for ETL are:
1) IBM aerospace and defense industry
This is a data integration platform that includes a group of data analysis related products. It has a large parallel processing capability (MPP) that can provide a very flexible and scalable platform to handle many types of Data volumes. It not only helps to collect data but also can check the quality of data. This tool has been widely used by businesses since it was introduced.
2) SAS data management
SAS data management is a program that helps to clean, monitor, convert and secure data and also help improve the quality and reliability of data. This tool helps to deploy, extract, convert and load architectures to take advantage of native and target platforms. This platform provides 300 integrated SQL-based conversions that can insert, merge, and delete data from different sources and objectives.
3) PowerCenter Informatica
PowerCenter Informatica is an enterprise product from Informatica that provides data integration platform. It is a fully expandable and high-performance product. Because of having easy access, it is quite popular in the Data Analysis community.
The ability to manage a wide range of data integration activities on one platform has made it widely available. Its ability to simplify data processing and data storage is truly amazing.
PowerCenter has also helped many companies successfully collaborate in business with IT.
The main features of PowerCenter Informatica are:
- Data mask
- Manage metadata
- Seamless recovery
- Dynamic partition
Data analysis state
The great ability of Big Data to significantly enhance customer experience and transform business models has made it one of the top innovations of the current decade. In order to use its data as the best advantage, the company must convert the data into knowledge. For example, manufacturing companies can monitor data coming from the sensors of the machine and, with the help of Data Analysis, can modify the machine’s processes before the catastrophic event occurs. After experiencing the importance of Big Data Analysis, here are some popular tools that you can deploy in your business:
4) Pentaho business analysis
By providing business data analysis in a single seamless platform, Pentaho tries to address various challenges around the Data Integration. Pentaho may be the future of Data Analytics because its open source software is easily available and simple to use. Its embedded platform can handle all requirements including large and diverse Data projects. Pentaho is constantly innovating and adding new features to its modern and integrated platform.
Pentaho is the first major provider to introduce a big data analysis tool. Since then, it has always occupied a leadership position in big data analysis. By leveraging early entry and continuous technology updates, Pentaho was able to attract a large number of customers to analyze data. With its simple but powerful product, companies can save a lot of time to design and deploy big data analysis solutions. There are having a lot of popular services include finance, retail, and healthcare using Pentaho’s products.
5) Skytree server
Skytree Server is an AI-based machine learning program, to replace SQL databases. By taking data sets with no structure and data processing faster than any other traditional method, it has become quite popular among businesses.
Its learning algorithms are used in many industries for many applications including sales, fraud detection, and astronomy, etc. The predictive behavior of this tool is quite effective in predicting coin and future orientation. The application automatically adjusts the necessary algorithms through its machine learning technique. There is also a free trial version of the software provided by the company.
Although Big Data may look quite complicated from the beginning, when you learn more about it, you will know it is not difficult and easy to implement. You are not a data scientist to deploy it in your business, but let use the tools above and be successful.