Businesses today rely on data analysis and big data tools to make data-driven decisions to maximize profitability and minimize expenses. Big data analysis is relevant to every industry sector, from aviation and manufacturing to retailing and fashion. The data-driven insights supplement executive decision-making with superior efficiency and precision.
In 2020, businesses are increasingly leveraging big data’s dynamic power to reduce costs and enhance their offerings. The insights offer valuable insights into consumer behaviors and statistics to drive the success of marketing endeavors. Today, numerous big data tools and software allow businesses to redefine their target audience and enjoy growth and expansion.
This article will walk you through the leading tools adopted worldwide for big data analysis in 2020.
Here, take a look:
Xplenty
A leading platform that allows businesses to combine, integrate, prepare, and process all their data in one platform. It is widely available for data preparation for analytics over the cloud. Xplenty is a highly intuitive and innovative graphic interface for the implementation of ELT and ETL. It also facilitates a replication solution.
It is designed for data pipelines across businesses with little or no coding capabilities, as Xplenty offers a comprehensive toolkit. From development and customer support to marketing and increasing sales, it provides data-driven solutions to enhance productivity and profitability. It allows businesses to extract impactful insight from their data and eliminates other software and hardware needs.
It is a complete toolkit that offers comprehensive support through online meetings, phone, chats, and email. It implements intricate data preparation easier and achievable. If you’re still struggling to understand what is data analytics and how to incorporate it into your business, embrace this toolkit. It will help you target your marketing efforts with a highly specific audience to increase sales and profits by reducing expenses.
Tableau
Another popular big data tool, Tableau, is a dynamically powerful software. It presents businesses with a wide array of professional and specialized features to use data in enhanced decision-making. Learning to use this software can prove challenging, but it has much to offer your business once you embrace it.
This powerful software can merge various data points and offer superior data preparation and collection. It comes with out-of-box support and an extremely active audience for lucrative networking connections. What’s more, businesses do not require data analysis or coding skills to utilize this dynamic software.
Cloudera Distribution for Hadoop (CDH)
It serves to aid enterprises in making the deployment of technology an achievable reality. CDH is an open-source platform, and it offers businesses free platform distribution. Companies have the luxury to choose from options such as Apache Impala, Apache Hadoop, and Apache Spark, etc.
It allows businesses to gather and process unlimited data, alongside managing, distributing, and discovering data-driven insights for superior decision-making. CDH is ideal for extensive data distribution, and the Hadoop cluster is very well-managed.
As compared to most big data tools, it offers an easy implementation and administration process. More importantly, it provides high-security protocols to secure your data and make governance easier.
Konstanz Information Miner (KNIME)
The Konstanz Information Miner, popularly known as KNIME, is a widely used open-source tool for big data analysis. You can use this for conducting data analytics, text mining, and reporting, etc. KNIME is also prominent in using CRM and offers tools for working business intelligence.
KNIME can support various operating systems, including Windows, Linux, and OS X, amongst others. Global brands have widely adopted this big data platform, including Johnson & Johnson, Canadian Tire, and Comcast.
Businesses prefer KNIME due to its simplistic nature of its ETL processes and its ability to integrate with technologies seamlessly. It ensures a smooth and flexible integration process with numerous languages and technologies. The algorithm set is incredibly rich and diverse, making this platform amazingly useful.
It allows businesses to reduce their expenses to maximize profits without facing any stability challenges. The platform is straightforward to set up and use. However, experts believe that KNIME can improve its data handling capacity. While the KNIME analytics platform is free, businesses have to buy other commercial offerings to enhance their capabilities.
Lumify
A tool for data analytics, with an open-source tool and comes free of cost. Lumify offers highly attractive features, such as 2D and 3D graphic visualizations, link analysis, full-text search, and mapping systems integration.
It allows enterprises to benefit from automatic layouts, multimedia analysis, and geospatial analysis. More importantly, it facilitates real-time collaboration across workspaces and projects. Lumify is a highly scalable data analysis tool that offers superior security. Businesses can rely on the support of a devoted full-time development and support team.
Conclusion
When choosing a big data analysis tool, it is crucial to keep your business’s needs at the forefront. The right tool for your business stems from your data specifications, audience demographics, operations, and profitability goals. It is crucial to use data-driven software that allows your business to target your efforts with greater precision.
