When it comes to identifying patterns, correlations, anomalies, trends, and relationships that are hard to detect in an enterprise, business owners, and the analytics team seek the help of data analytics tools.
Not only these tools make their work easier to a great extent, but they also make it lot easier to detect the difficult business jargons or gamut that were otherwise tough to decipher.
Besides, the modern-day data analysis tools that are available online fuel the users to explore, retrieve, connect with and visualize data from a different amalgamation of sources.
Such a combination and flexibility of data access offer users with a detailed insight into their company’s day to day work operation along with their overall business process.
How does the contemporary data analytics tool affect the modern-day business houses? How much impactful are the databases and the information delivered by these tools?
This write-up will unravel answers to all such questions and will make it easier for you to choose the best analytics tool for your organization that will help in the decision making and business performance.
Why Data Analysis?
According to the recent survey carried out by RemoteDBA.com, it was found out that companies that are not utilizing data analytics tools are missing out on many important aspects of their business, causing their business to fall apart.
The biggest benefit of data analytics tools which makes it an absolute must for every business house is that it renders automotive data along with the predictions to improve your decision accuracy, refining your business performance.
With that being said, check out these data analytics tools along with their brief scrutiny by experts:
Tableau Public
Being one of the top data analytics tools, Tableau is an easy and convenient utility that renders intriguing insights via data visualization.
Tableau Public is packed with a million row limit that gives added support which makes the tool better than its other counterparts in the market. In addition to that, you can actually evaluate a hypothesis, delve into the data and perform a cross-check of the data and the insights, all thanks to the immersive Tableau’s visuals.
Also, the tool lets you promote interactive data visualization to the web without any charge. The only limitation to Tableau’s Public is its data size and a very limited scope of restricted access to the data.
OpenRefine
Known as GoogleRefine in the past, OpenRefine aids you in cleaning up the data for analysis, making it decent cleaning software.
The interface of OpenRefine is much similar to the relational database tables, comprising of data rows that have cells under columns. Apart from cleaning up the messy data, OpenRefine facilitates the transformation of data and analyze data from sites along with incorporating data to the dataset.
You can also leverage this analytics tools for geocoding addresses to physical coordinates. As far as the pitfalls of this analytics tool are concerned, OpenRefine actually is not really that competent to function with big datasets.
KNIME
Placed among the top lists of data analytics tools, KNIME administers you to monitor, evaluate and model information and important data through visual programming. It is used to incorporate several attributes for machine learning and data mining through its innovative modular data pipelining theory.
KNIME ensures added convenience to your data analysis procedure, as it does not believe in the concept of writing blocks of code and is infused with drag and drop connection instead. Besides, it supports programming languages, which can be a luxury for many tech-driven campaigns.
RapidMiner
Gaining fast acceptance in the analytics niche, RapidMiner confers machine learning procedures along with data mining including statistical modeling, data visualization, processing, evaluation, deployment and predictive analytics.
Written in Java, RapidMiner sports an integrated world for predictive analysis and text mining, which are critical applications in commercial business. The data analytics tools are also leveraged for application development, training, rapid prototyping, research, and education.
Due to the number of rows, RapidMiner is clocked with size constraints.
Google Fusion Tables
If you are looking for a free data analytics tool, you will be glad to hear that Google Fusion Tables is packed with large dataset visualization and comes at no cost.
Being a much vast and cooler version of the Google Spreadsheets, the Google Fusion Tables is an intriguing tool for data evaluation and mapping.
It allows you to visualize large table data on the web and also lets you filter and summarize the rows without any hassle of data. Speaking of the limitations, this data analytics tool cannot send data in one API more than one megabyte.
NodeXL
Having visualization software that is free and supports open-source network analysis can be a blessing for businesses. NodeXL was designed with this initiative and is considered among the top statistical utilities for data analysis.
It is enriched with advanced network metrics along with an access to social media data import and graph visualization. Integrated with the various versions of Microsoft Excel, NodeXL opens as a workbook containing a wide range of elements related to a graph structure like edges and nodes.
Wolfram Alpha
Founded by Stephen Wolfram, the Wolfram Alpha is a data analytics tool that is completely designed as a computational knowledge engine. Often called as an answering engine, Wolfram Alpha retrieves answers to factual questions.
The answers are sourced from an exceptionally sourced curated data rather than offering a list of web pages or documents. It also provides detailed solutions to calculus problems and helps the analytics team in organizations with information graphs and charts.
On top of that, with Wolfram Alpha, you can easily form topic overviews, high-level pricing history, and commodity information.
Conclusion
With so many options available in the market, it might be challenging for you to figure out the right data analytics tool for your business.
Make sure that the tool you are choosing to work with is a flexible analytics platform and delivers the most complete business intelligence.
