Companies are adopting big data analytics as a trending practice to improve operational efficiency, gain a competitive advantage in the market, and drive new revenues. Data analytics is known to be a complex process that involves data engineers, developers, data scientists, business users, and data management teams. Today, the growing availability of big data platforms and data analytics tools has enabled environments in which analytics applications can handle massive data from disparate sources.
Knowledge of working in any one of the data analytics tools is important if you are seeking a career in data science. In fact, you can learn about them on the internet, online tutorials, and Post Graduate Program or PG in Data Analytics. Are you curious about what data analytics tools are more popular among companies? Well, this article lists some of the best data analytics tools that offer advanced powerful features to support the entire analytics process.
Here goes the list!
KNIME
An open-source software, the KNIME Analytics platform is known for creating data science. The tool is intuitive, open, and continuously integrating, and makes understanding data and designing data science workflows and reusable components accessible to all users. Professionals can create visual workflows for data analytics through an intuitive, drag and drop style graphical interface, without requiring any coding.
RapidMiner
RapidMiner Studio is a comprehensive data science platform with visual workflow design and full automation. It allows you to speed up and automate the creation of predictive models in a drag and drop visual interface. There is a rich library of over 1500 algorithms and functions that ensures that you have the best model for any use case. Users can also check out pre-built templates for common use cases like fraud detection, customer churn, and predictive maintenance.
Lumada Analytics, provided by Pentaho
This tool empowers users to analyze and visualize data as well as embed impactful analytics in day-to-day workflows with minimum support of IT. You can democratize access to analytics with cost-effective and powerful customized reporting and dashboarding capabilities. Data analysts also love it for producing stellar reports with the intuitive process and seamless integration and the ability to embed reporting in applications faster with fewer resources.
Python
Python, though largely known as an object-oriented programming language, is also an excellent data analytics tool. Python has a rich set of libraries that help in cleaning data, mining it, and gaining insights from it. Some of the popular libraries are Pandas, Matplotlib, Plotly, NumPy, and Seaborn. One can use all these libraries for numeric analysis, data manipulations, data masking, indexing and grouping, data visualization, and so on.
Tableau
Tableau boasts of being a ‘Leader’ in the Gartner Magic Quadrant for top business intelligence and data analytics platforms. It is an end-to-end analytics tool that enables users to prepare, analyze, collaborate, and share their big data insights. The platform excels in self-service visual analysis, facilitating users to ask new questions of governed big data and share those insights across the company easily. You can either use the tool on-premises or on the cloud as per your organization’s needs.
Talend
Talend powers the cloud-based data management and analysis tools that streamline the process of taking data into a warehouse and extracting meaningful insights for better decision making. One can use the Talend Data Fabric, a suite of data management apps that includes powerful tools to make cloud migrations successful. It combines data integration, integrity, and governance in a single, unified platform to deliver complete and clean data to make every decision count.
Zoho Analytics
As described on its official website, Zoho Analytics is a self-service Business Intelligence and data analytics platform that allows users to analyze their data, build stunning data visualizations and uncover hidden insights quickly. Data analysts use it to track key business metrics, look at long-term trends, identify outliers, and discover hidden insights. Data can be blended from a wide range of sources to create cross-functional reports and dashboards.
Lumify
Developed by Altamiracorp, Lumify is an open-source big data integration, analytics, and visualization platform. It has combined well-known open-source, big data technologies like Accumulo and Hadoop, overlaid with a graph datastore and web-based analysis and visualization interface. The tool provides 2D and 3D graph visualizations with various automatic layouts. Moreover, there are a number of options for analyzing the links between entities on the graph.
Looker
Looker, now a part of Google Cloud Platform, helps you reveal the true power of your data and bring clarity to every situation. One can explore Looker and Google Cloud’s data analytics platform to get more options to deliver more through the usage of fresh and strong insights. You can serve up real-time dashboards for more in-depth and consistent analysis. Additionally, you can get access to trustworthy data enabling teams to gather fresh results for more precise reporting.
Qlik Sense
Qlik is another tool that is named a Leader in the 2021 Gartner Magic Quadrant for Analytics and Business Intelligence Platforms. Qlik Sense is its complete data analytics platform that sets a benchmark for a new generation of analytics. Using its unique associative analytics engine, high-performance cloud platform, and sophisticated AI, users can empower everyone in the organization to make better decisions regularly, building a truly data-driven enterprise.
